Poster Session A 1-41
Saturday, March 6th, 2021, 4:00 – 6:00 pm in the Exhibit Hall
A1 – Electrophysiological evidence of attention to music in unresponsive hospice patients at the end of life
Presenter
Lawrence Ward
University of British Columbia
Co-Author
Elizabeth Blundon
University of Miami
Co-Author
Romayne Gallagher
University of British Columbia
Co-Author
Lauren Dimaio
Texas Women’s University
The objective of this study was to characterize electrophysiological activity associated with listening to music in a small group of unresponsive hospice patients at the end of life. Young, healthy controls were asked to attend to (Active condition) and ignore (Passive condition) brief (~7s) musical excerpts. A small group of hospice patients were asked to attend to the same musical excerpts (Active condition only), both when they were responsive and again when they became unresponsive. Most (84%) controls showed sustained (~3s) posterio-parietal alpha suppression when they were asked to attend to the music, while far fewer (37%) generated the same response when asked to ignore the music. Similarly, 75% of responsive hospice patients, and 100% of unresponsive hospice patients showed sustained (again, ~3s) posterio-parietal alpha suppression when asked to attend to the music. These results suggest that some unresponsive patients at the end of life may be able to listen to music, despite being unable overtly to indicate their awareness. Music-listening may be a more promising way to engage unresponsive patients compared to neutral stimulation.
Keyword: ATTENTION: Auditory
A2 – Arousal compensates for age-related deficits in early visual attentional selectivity under high attentional load
Presenter
Ringo Huang
University of California, Los Angeles
Co-Author
Kelly Durbin
University of Southern California
Co-Author
David Clewett
University of California, Los Angeles
Co-Author
Martin Dahl
Max Planck Institute for Human Development
Co-Author
Mara Mather
University of Southern California
Increasing task-focused attentional load can enhance distractor suppression in younger adults. Here, we conducted a concurrent eye-tracking and functional magnetic resonance imaging (fMRI) study in younger and older adults to examine whether attentional load can also enhance distractor suppression in older adults, who often have greater difficulty with inhibitory control. In the MRI scanner, participants performed a foveal target detection task while task-irrelevant checkerboards flickered in the periphery. Attentional load was manipulated by defining the target by its color (low load) or by both its color and orientation (high load). Consistent with prior work, younger adults inhibited visual cortex activation to the distracting checkerboards under high attentional load. However, this load-dependent suppression effect was not observed in older adults. This load-by-age interaction effect was significant, suggesting that unlike younger adults, older adults do not inhibit visual processing of irrelevant distractors as load increases. Surprisingly, the presence of peripheral checkerboard distractors under high attentional load improved, rather than impaired, older adults’ reaction times and increased their pupil dilation responses, suggesting that perceptual distractors may benefit late selective attention processes in aging. Additionally, we found greater prefrontal cortex engagement in older relative to younger adults under high attentional load. In summary, younger adults inhibit visual processing of distractors more effectively than older adults as central attentional load increases. However, under high task demands, an upregulation of arousal and prefrontal cortex processes may enable older adults to compensate for such inhibition deficits and improve task-focused attention.
A3 – Attentional modulation in early visual cortex: a combined re-analysis of steady-state visual evoked potential studies
Presenter
Nika Adamian
University of Aberdeen
Co-Author
Søren Andersen
University of Aberdeen
Steady-state visual evoked potentials (SSVEPs) are a particularly powerful tool for investigating selective attention. The SSVEP is a continuous oscillatory response of the visual cortex that has the same fundamental frequency as the driving stimulus and whose amplitude is increased with attention to the driving stimulus. When multiple stimuli flickering at different frequencies are presented concurrently, each one of them will drive an SSVEP at its respective frequency, thereby allowing for the assessment of the allocation of attention to each element in a multi-stimulus display. Here we combined the data of eight published SSVEP studies in which participants (n=139 in total) attended to flickering random dot stimuli based on their defining features (e.g. location, color, luminance, or orientation) or feature-conjunctions. The reanalysis first established that in all the studies attention reliably enhanced amplitudes and shortened latencies of SSVEPs, with colour-based attention providing the strongest effect. Next we investigated the modulation of SSVEP amplitudes in a subset of studies where two different features were attended concurrently. While most models of feature-based attention assume that multiple features are combined additively, our results suggest that neuronal enhancement provided by concurrent attention is better described by multiplicative integration. Finally, we used the combined dataset to demonstrate that the increase in SSVEP amplitudes cannot be explained by the synchronization of single-trial phases. Contrary to the prediction of the phase locking account, the variance of complex Fourier coefficients increases with attention, which is more consistent with boosting of largely phase-locked signal with non-phase-locked noise.
A4 – Phenomenological and electrophysiological correlates of executive and affective mind wandering
Presenter
Paloma Manguele
University of Sussex, School of Psychology
Co-Author
Sophie Forster
University of Sussex, School of Psychology
Co-Author
Fiona Wiegert
University of Sussex, School of Psychology
Previous research has highlighted that mind-wandering can serve important functions such as planning for the future, decision making, and strategic problem solving relating to our current concerns. However, such ‘executive’ forms of mind wandering can also take negative forms in terms of worry. The goals of the present research were to characterize the phenomenology of executive forms of spontaneous mind wandering, in relation to both emotional valence and mental time travel, and to facilitate future research in this area by establishing objective electrophysiological markers for executive and affective dimensions of thought. To address our first goal, two large online studies (total N = 605) employed intermittent probes during an audio lecture at which participants rated and reported their thought contents. Thirty-eight percent of thoughts were rated as moderately or highly strategic. These ‘executive thoughts’ were more likely to be future-oriented than those rated as less strategic. Individual propensity to strategic thought predicted the prospective bias but was not consistently linked to thought valence or anxiety. We then asked 30 participants to perform a series of thought exercises designed to simulate mind wandering, varying in strategic content and emotional valence, while EEG and facial EMG data were recorded. More strategic thoughts and negative valence were reflected in increased frontal beta and activity of the corrugator supercilii muscle, respectively. Our findings hence provide the foundation for future research testing the ability of these objective electrophysiological markers to index executive and affective dimensions of spontaneous thought contents.
A5 – Measurement Properties of Pupillary Dynamics
Presenter
Alexis Torres
Arizona State University
Co-Author
Matthew Robison
The University of Texas at Arlington
Co-Author
Gene Brewer
Arizona State University
Pupillary dynamics partially index neuromodulatory signals from the noradrenergic and dopaminergic systems. These dynamics have been associated with a vast array of cognitively meaningful behaviors in the fields of perception, attention, and memory. In the current study, we sought to evaluate the psychometric measurement properties of pupillary dynamics across a set of attention tasks (Sustained Attention to Response Task, Psychomotor Vigilance Task, Color-Word Stroop Test, and Arrow Flanker Task) on two days of administration, separated by at least 6 days. Individual estimates of pupil size, pupil size variability, and pupil dilation in response to target stimuli were extracted for each task. We then measured within-task (split-half reliability) and between-task (convergent validity) correlations between these estimates. Overall, we found that individual differences in pupillary dynamics have strong psychometric properties that render them useful for evaluating individual differences. Moreover, pupillary dynamics were task general across 4 attention control tasks indicating that these dynamics likely reflect trait-like neuromodulation.
A6 – Single word and passage-level errors in patients with neglect dyslexia: A case series study
Presenter
Timothy Rich
Kessler Foundation
Co-Author
Olga Boukrina
Kessler Foundation
Co-Author
Peii Chen
Kessler Foundation
Individuals with spatial neglect (SN) following right brain damage distribute insufficient attention to the left side of space or objects. In the associated reading impairment, neglect dyslexia (ND), patients err on the left side of a word or omit words nearest the left margin of a passage of text. It remains unclear if the presence of one or both of these error types is related to lesion location or other SN characteristics. Here we compared lesion location and performance on a number of assessments for SN among three stroke survivors with SN – one ND+ patient with primarily passage-level errors, one ND+ patient with passage- and word-level errors, and one ND- patient with non-lateralized passage-level errors. Lesion analyses showed that the two ND+ patients had subcortical white matter (WM) lesions affecting superior and inferior longitudinal fasciculi while the ND- patient had a temporoparietal lesion sparing the longitudinal WM connections. The two ND+ patients also showed poorer performance on visual search (cancellation) tasks than the ND- patient. Thus, we observed neurologic and behavioral distinctions between ND+ and ND- patients, but no apparent difference between ND+ patients who have reading errors at different levels. The findings suggest that damage to association fibers that connect cortical areas within the same hemisphere results in a more severe spatial impairment and produces reading deficits. Further large-scale research is needed to study the neural basis of reading errors at single-word level versus passage level.
A7 – Multivariate approaches on electroencephalography highlight the breakdown of modularity in visuospatial attention
Presenter
Mathieu Landry
École Normale Supérieure
Co-Author
Jason Da Silva Castanheira
McGill University
Co-Author
Jerome Sackur
École Normale Supérieure
Co-Author
Amir Raz
McGill University
The modular view of visuospatial attention posits that stimulus- and goal-driven orienting represent functionally independent systems. This dichotomy largely follows from their respective mode of control, wherein stimulus-driven orienting corresponds to involuntary shifts of attention due to salient events and goal-driven attention reflects voluntary control of orienting responses. While a large body of findings support this general construal, research about how these orienting systems operate alongside each other remains scant. As a consequence, limited evidence validates the idea that they are completely separable. Capitalizing on single and double cueing approaches to contrast the effects of each form of orienting alone against that of both forms when they are concurrently engaged, our study (N=32) used electroencephalography (EEG) to assess the modular view and determine whether they operate independently at the neural level during the orienting response and ensuing target-related processing. Multivariate analyses of EEG signals where we decoded the effects of attention highlight the breakdown of modularity for both orienting and target processing. In particular, we observed that goal-driven attention interferes with stimulus-driven orienting, even when both systems are simultaneously engaged towards the same spatial location. Further analyses intimate that attention-related changes in posterior alpha waves underlie the permeability of modularity in visuospatial attention. Our findings shed light on the complex dynamics that support attention processing and demonstrate how competition characterizes the relationship between stimulus- and goal-driven orienting at the sensory level.
A8 – Inter-Network Neural Connectivity Mediates Intuitive Moral Decision-Making between Younger and Older Adults
Presenter
Shenyang Huang
Duke University
Co-Author
Leonard Faul
Duke University
Co-Author
Gunes Sevinc
Massachusetts General Hospital & Harvard Medical School
Co-Author
Laetitia Mwilambwe-Tshilo
McGill University
Co-Author
Roni Setton
McGill University
Co-Author
Amber W. Lockrow
McGill University
Co-Author
Natalie C. Ebner
University of Florida, Gainesville
Co-Author
Gary R. Turner
York University
Co-Author
R. Nathan Spreng
McGill University
Co-Author
Felipe De Brigard
Duke University
Older adults (OAs) occupy many positions of power and constitute an increasingly larger share of the population. These demographic shifts underscore the importance of studying age-related changes in decision-making, particularly when it comes to difficult, morally-laden scenarios. However, little is known about age-related differences in moral decision-making and their relationship to the intrinsic network architecture of the brain. In the present study, younger adults (YAs; n = 117, Mage = 22.11) and OAs (n = 82, Mage = 67.54) made decisions on multiple hypothetical moral dilemmas and completed resting-state multi-echo fMRI scans. Relative to YAs, OAs were more likely to endorse deontological decisions and favor an action consistent with a moral principle, but only when the deontological moral choice was intuitive. By contrast, OAs’ decision-making did not differ from that of YAs when the utilitarian moral choice was intuitive. Enhanced connections between the posterior medial core of the default network (pmDN) and dorsal attention network , as well as overall reduced segregation of the pmDN from the rest of the brain, partially mediated this increased deontological-intuitive moral decision-making style in OAs. The present study provides novel insight into the differential network connectivity associated with moral reasoning in YAs and OAs, expanding our understanding of the diversity of neurocognitive changes that accompany aging.
A9 – Neural basis for the processing of pain psychomimes: A functional magnetic resonance imaging study
Presenter
Qiong Ma
National Rehabilitation Center for Persons with Disabilities
Co-Author
Sachiko Kiyama
Tohoku University
Co-Author
Michiru Makuuchi
National Rehabilitation Center for Persons with Disabilities
Pain psychomimes, a kind of Japanese onomatopoeias, help patients to effectively complain their pain. Psychomimes are supposed to yield emotional empathy in the other, since they vividly depict the speaker’s inner life. We performed fMRI to reveal the neural basis for the empathy processing via pain psychomimes (34 participants). Three types of sentences were examined. The first was sentences with a psychomime, like ‘I had a toothache zukizuki.’. The second was the same as the first, but with an adverb of degree instead of a psychomime, e.g., ‘I had a toothache strongly.’. The last described a painful event such as ‘I twisted my ankle on the playground’. The fMRI data were collected while participants read those sentences and rated the intensity of pain in four levels. We found that the activities in the empathy-related brain regions including the anterior cingulate cortex and anterior insula were correlated with the pain intensity ratings, especially for the psychomimes than for the adverbs. This suggests the superiority of psychomimes for arousing emotional empathy. A direct comparison revealed higher activation in the anterior and middle portion of middle temporal gyrus, pars opercularis bilaterally and in left anterior superior temporal gyrus in the adverb condition than in the psychomimes condition. This result suggests that adverbs require extra computational cost than psychomimes. Taken together, these findings fit well with the native Japanese speakers’ preferential use of psychomimes for depicting their pain because of the efficacy of invoking empathy and the lower neural computational cost.
A10 – Emotion Regulation Training Induces Wide-Spread Changes in Functional Activation and Connectivity
Presenter
Olivia Cook
University of Louisville
Co-Author
Jessi Kane
University of Louisville
Co-Author
Karisa Hunt
University of Louisville
Co-Author
Brendan Depue
University of Louisville
‘Brain Training’ programs are becoming more ubiquitous in mainstream society. However, there are relatively few studies exploring whether specific task related training leads to functional plasticity in the brain. Furthermore, no studies exist, to our knowledge, that explore training an individual’s ability to down-regulate emotion reactivity. Importantly, understanding which neural regions show changes across training highlights important brain mechanisms involved in emotion regulation processes; processes which are critical to efficient daily functioning. We explored this question using fMRI before and after emotion regulation training. Eighteen undergraduate students were recruited in a 5-day training study. Participants were scanned on day 1 and day 5. The emotion regulation task and training consisted of a standard emotion regulation paradigm, in which participants were asked to down-regulate their physiological response to negatively valanced IAPS pictures. A subjective emotion ratings task was performed before (baseline) and approximately 30 minutes later (ER-rating) required participants to interrogate their subjective emotional feeling toward IAPS pictures. Behaviorally, a significant decrease in subjective negative emotion ratings occurred on day 5 compared to day 1 (p<.03; M=2.1/2.6). Functional analyses revealed decreased activation in the dorsal medial prefrontal cortex (dmPFC), right inferior and middle frontal gyri (rIFG/rMFG), and both ventral and dorsal amygdalae on day 5 compared to day 1. Conversely, increased activation was seen in the orbitofrontal cortex (OFC) on day 5 compared to day 1. Using the above regions in functional connectivity analyses, revealed that while functional activation decreased, increased functional connectivity was observed in the rMFG-OFC and OFC-amygdalae.
A11 – Representations of concepts diverge according to the emotional value.
Presenter
martina riberto
Co-Author
Rony Paz
Weizmann Institute of science
Co-Author
Gorana Pobric
University of Manchester
Co-Author
Deborah Talmi
University of Cambridge
Background. Emotional and neutral concepts are represented in different brain regions. However, it is still unknown whether the emotional value of each stimulus is encoded separately or integrated in semantic and high-level visual regions. This is of paramount importance for the debate in semantic cognition on organisation of semantic memory, and for possible treatments of anxiety disorders. Methods. 29 participants took part in a functional Magnetic Resonance Imaging (fMRI) experiment where they performed a visual complexity rating of 72 complex pictures, which depicted 4 categories of realistic events (2 neutrals and 2 negative emotional). After, participants arranged these pictures in a bidimensional space, according to the similarity among them. In two separate searchlight Representation Similarity Analyses (RSA), we correlated participants’ neural pattern activations and their perceived similarity within emotional (EE) and neutral (NN) categories (pFDR <0.05). Results. NN was correlated with clusters in the bilateral occipital place area (OPA) and parahippocampal place area (PPA). In addition to OPA and PPA, EE correlated with clusters in the bilateral precuneus, dorsal anterior cingulate cortex (dACC) and left anterior insula. EE and NN correlations significantly differed, with EE showing higher correlations between neural pattern activations and participants’ similarity space (pFWE <0.05).
Conclusions. Representations of concepts inherent to realistic events are grounded in high-level visual regions, including the OPA and PPA. The emotional value is separately encoded in areas involved in emotional processing and regulation. This suggests that concepts formation relies on the interaction between regions that code relevant stimulus properties.
A12 – Arousal enhances memory selectivity in young but not older adults: fMRI and behavioral evidence
Presenter
Sara Gallant
University of Southern California
Co-Author
Sara Gallant
University of Southern California
Co-Author
Briana Kennedy
University of Western Australia
Co-Author
Ringo Huang
University of California, Los Angeles
Co-Author
Mara Mather
University of Southern California
In young adults, increases in arousal selectively enhances memory for salient information while suppressing memory for non-salient details. This adaptive response helps us to perform during high-stake moments by focusing attention on important information amid distraction. However, these processes are thought to change with age. Older adults show a decline in the ability to ignore distraction as well as changes in the arousal system, which threaten to disrupt arousal’s ability to coordinate selective processing. Here, we used fMRI to test the hypothesis that increases in arousal amplify memory and neural selectivity for young adults but not for older adults. While in an MRI scanner, participants completed an attention selectivity task where they heard an arousing or neutral sound followed by two category-specific stimuli that were competing in perceptual salience. On an incidental memory task, young adults remembered more of the salient than non-salient stimuli on arousing relative to neutral trials whereas older adults did not show an increase in memory selectivity under arousal. Hearing an arousing sound also increased young adults’ brain activity in category-selective ventral occipitotemporal cortex (extrastriate body area) when viewing salient vs. non-salient stimuli. By contrast, arousal did not modulate older adults’ brain activity in response to stimuli. These behavioral and fMRI findings suggest that arousal becomes less effective at enhancing selective processing in the aging brain.
A13 – The role of autobiographical memories in empathy
Presenter
Federica Meconi
University of Birmingham
Co-Author
Nicolò Di Lello
University of Padova
Co-Author
Alessio Avenanti
University of Bologna
Co-Author
Carlo Miniussi
Center for Mind/Brain Sciences
Co-Author
Carmel Mevorach
University of Birmingham
Empathy is the ability to understand and share others’ inner states and therefore is critical in interacting behaviour. A significant body of research has shown that autobiographical memory (AM) plays an important role in empathic processes. In two recent studies (N = 28 each) we provided behavioural, EEG and fMRI evidence for online reactivation of the AM during the preparation of empathic judgments. However, a causal relation between AM and empathy (i.e., whether AM directly drives empathy judgements) has not been proven. Using similar paradigm, we conducted a study (N = 5, interrupted by coronavirus-related lockdown) in which we used transcranial magnetic stimulation (TMS) with the aim to interfere with the AM retrieval during an empathy task. Healthy students had to judge their empathy awareness for individuals as depicted in contexts described by a sentence. The contexts described episodes of intense physical pain or neutral events for which participants did or did not have an AM. For each trial, a burst of three TMS pulses was delivered in a specific time-window to the left superior parietal lobule (SPL), a brain region involved in the AM retrieval. We sought to testing whether interfering with AM retrieval, due to the stimulation of the SPL, would cause reduced empathic reactions as expressed on a behavioural level by the empathy judgements. Although preliminary, this set of results shows promising suggestion that AM drives explicit judgments of empathy.
A14 – Understanding Others Requires Right Temporoparietal Junction
Presenter
Tatiana Schnur
Baylor College of Medicine
Co-Author
Junhua Ding
Baylor College of Medicine
Co-Author
Margaret Blake
University of Houston
The human ability to infer other people’s knowledge and beliefs, known as ‘theory of mind’, is an essential component of social interactions. Theory of mind tasks activate frontal and temporoparietal regions of cortex in fMRI studies. However, it is unknown which of these regions are critical. We examined this question using voxel-based lesion symptom mapping in 20 patients with acute right hemisphere brain damage. Studies of acute patients sidestep questions of recovery and reorganization that plague long-term studies of lesioned patients. Damage to the temporoparietal junction but not frontal cortex impaired thinking about others’ perspectives. This impairment held even after adjustment for overall extent of brain damage and memory, comprehension, and attention abilities. These results provide evidence that right temporoparietal junction is necessary for the human ability to reason about the knowledge and beliefs of others.
A15 – Reward prediction error signals in the amygdala selectively guide social learning under uncertainty
Presenter
Amrita Lamba
Brown University
Co-Author
Matt Nassar
Brown University
Co-Author
Oriel FeldmanHall
Brown University
Learning about others’ trustworthiness often serves as an informative cue of social rewards, particularly in highly uncertain situations. While considerable research efforts have focused on nonsocial reward learning, much less is known about the neural computations supporting social reward learning. More specifically, how do humans learn to trust? Here we leverage computational neuroimaging approaches to investigate how individuals learn about information along value and uncertainty dimensions. We then examine how this knowledge is exploited to build a representation of trustworthiness that can adaptively guide social choice. Using the Trust Game (TG) and a matched nonsocial slot machine (SM) task, we examined how swiftly participants (N = 28) learned to make reward-maximizing choices across these contexts. Social partners and slot machines were preprogrammed to drift in their trustworthiness/monetary reward across the task. Compared to nonsocial SMs with matched reward distributions, results reveal that participants were faster to learn and experienced fewer reward prediction errors (RPEs) when interacting with consistently trustworthy or selfish partners, which correlated with activation of the striatum. In contrast, when interacting with social partners who indiscriminately showed trustworthy and untrustworthy behavior (i.e., highly uncertain behavioral profiles), participants were slower to learn and experienced greater RPEs during the TG compared to the SM. RPEs associated with learning about uncertain social partners uniquely scaled with activity in the amygdala, whereas the striatum indexed learning about uncertain SMs. These results suggest that context-selective representation of RPEs in the amygdala and striatum may drive asymmetrical learning profiles across social and nonsocial environments.
A16 – Why do children have lower working memory precision than adults? Examining the role of attentional allocation with pupil
Presenter
Elena Galeano Weber
DIPF Leibniz Institute, Frankfurt am Main
Co-Author
Sarvenaz Pakzad
University of California, Berkeley
Co-Author
Garvin Brod
DIPF Leibniz Institute, Frankfurt am Main
Co-Author
Silvia Bunge
University of California, Berkeley
Developmental studies of working memory (WM) have largely focused on increased capacity – that is, the number of items that can be remembered – and not the fidelity of these representations. Here, we examined visual WM fidelity in terms of recall precision and recall variability in middle childhood and young adulthood. We tested whether differences in WM fidelity could reflect differences in sustained attention at encoding and/or across a delay period. To this end, we probed color precision of each of three sequentially encoded objects. Using pupil dilation as a moment-to-moment measure of attentional allocation, we measured attentional allocation at encoding and throughout a long delay period. Consistent with recent behavioral research, adults showed higher recall precision and exhibited lower recall variability than children. Adults had larger pupillary responses than children during encoding, but smaller responses during the delay period, suggesting differential allocation of attention across the trial. Among children, higher WM fidelity was linked to smaller pupillary responses during encoding and maintenance, suggesting that WM processing may rely on more efficient attentional allocation with increasing expertise. Finally, we provide tentative evidence that more sustained attention as indicated by lower fluctuations in pupil dilation towards the end of a long delay period might help children exhibit more stable WM performance.
A17 – Age is Associated with Whole-Brain Structural Topology but not Resting State Functional Topology in Older Adults
Presenter
DANIEL ELBICH
Hershey Medical Center
Co-Author
Suzanne Segerstrom
University of Kentucky
Co-Author
Jonathan Hakun
Hershey Medical Center
Human aging is associated with alterations to brain structure and function. While the effects of aging on indicators of resting state functional connectivity (e.g., default-mode network timeseries correlations) and white matter microstructure (e.g., fractional anisotropy) have been well studied, how aging alters whole-brain cortical structural and functional network topology remains poorly understood. Whole-brain connectomic analysis represents an approach to examining network topology that can be applied to both functional and structural data. A sample of 76 older adults (range: 60-95) underwent resting state fMRI and diffusion-weighted MRI scanning. Parcellation was conducted using the Schaefer 17 Network, 400 parcel atlas. Following preprocessing, BOLD timeseries correlations were carried out on the resting state fMRI data between the 400 parcels to construct the resting state functional network. Whole-brain probabilistic, surface-based tractography analysis, informed by the Human Connectome Project pipeline, was conducted on the diffusion-weighted data to construct the structural network. The resulting functional and structural connectomes were then quantified using graph theoretical metrics. Our results indicated that age was significantly associated with multiple measures of structural network topology: density (p < 0.01), global efficiency (p < 0.05), and modularity (p < 0.001). However, no significant associations between age and any measure of functional network topology was observed. Further, structural and functional network topology measures were not inter-related before or after controlling for age. Overall, our results suggest that summary measures of whole-brain white matter structural topology, but not functional network topology, are consistent with previously observed age-associated differences in network- and modality-specific indicators.
A18 – Transient control and global-sustained control mechanisms in bilingual aphasia
Presenter
Lesley Peng
San Francisco State University
Co-Author
Teresa Gray
San Francisco State University
Bilinguals control two languages. This skill may transfer to a nonverbal cognitive benefit, yet the relationship between verbal control and nonverbal control is unclear. Because bilingual people with aphasia (BPWA) may present with language control and cognitive control deficits, they are a unique population to study control mechanisms. Data were collected from 8 Spanish-English BPWA and 11 Spanish-English age-matched bilingual adults (AMBA). Participants completed a nonverbal color/shape switching task including bivalent conditions (to elicit inhibition of non-target domain) and a verbal Spanish-English switching task. The experimental structure was a sandwich design: two single blocks, three mixed blocks, two single blocks. Single blocks include single trials. Mixed blocks include nonswitch and switch trials. Switch-costs (higher accuracy/faster response time [RT] on non-switch vs switch trials in the mixed block) that tap transient control mechanisms and mixing-costs (higher accuracy/faster RTs on single trials in single block vs non-switch trials in the mixed block) that tap global-sustained control mechanisms were examined. All reported results are significant at p < .05. Separate paired- samples t-tests were performed for each group to evaluate the switch-cost and mixing-cost on both tasks. Verbal results: AMBA exhibited switch-cost for accuracy and RT in English, and both AMBA and BPWA exhibited switch-cost for RT in Spanish. Nonverbal results: BHA and BPWA exhibited mixing-cost for accuracy in color condition, and RT for color and shape condition. Results suggest a dissociation between costs across domains for both groups, indicating that BPWA management of transient and global control mechanisms is similar to AMBA.
A19 – Theta oscillations shift towards optimal frequency for cognitive control
Presenter
Mehdi Senoussi
Ghent University
Co-Author
Pieter Verbeke
Ghent University
Co-Author
Kobe Desender
Ghent University, KU Leuven
Co-Author
Esther De Loof
Ghent University
Co-Author
Durk Talsma
Ghent University
Co-Author
Tom Verguts
Ghent University
Humans’ capacity to pursue goal-oriented behavior despite changes in the environment is uniquely flexible. Cognitive control refers to processes allowing such behavioral adjustments and critically relies on neural oscillations in the theta band (4-7Hz). Theta amplitude has been shown to increase when control is needed, however, it remains largely unknown how theta oscillations support flexible adaptation to task demands. In this study we show that an essential aspect of theta oscillations has been completely overlooked so far: its specific frequency in the 4-7Hz range. We built a novel computational model in which theta oscillations orchestrate control over sensory and action representations, by establishing task-relevant functional networks through synchronization. Critically, we show that the frequency of theta oscillations balances reliable set up of task rules and gating of task-relevant information. Our model additionally predicts that this theta-rhythmic process is observable in behavioral performance, which constitutes, to our knowledge, the first time this phenomenon is predicted from computational simulations. We tested these predictions using a stimulus-response mapping task, and recorded EEG, in 33 participants. We showed that both behavioral performance and mid-frontal theta activity oscillated at slower frequency with increasing task difficulty. Furthermore, we showed that this shift in neural theta predicted trial-by-trial behavioral performance and that the sensitivity of theta frequency to task demands predicted overall task performance across participants. Our study provides a novel computational framework proposing how theta oscillations mechanistically implement cognitive control and adapt to external demands, opening new avenues for research on the regulation of cognitive control.
A20 – Psychosocial Stress Modulates Performance and Neural Information Processing during a Go/NoGo Task
Presenter
Chrystal Spencer
Rutgers University, Newark, NJ, USA
Co-Author
Ravi D. Mill
Rutgers University, Newark, NJ, USA
Co-Author
Jamil Bhanji
Rutgers University, Newark, NJ, USA
Co-Author
Mauricio Delgado
Rutgers University, Newark, NJ, USA
Co-Author
Michael W. Cole
Rutgers University, Newark, NJ, USA
Co-Author
Elizabeth Tricomi
Rutgers University, Newark, NJ, USA
Psychosocial stress affects learning, memory, and attention, but the influence of stress on the neural processes supporting cognitive performance remains unclear. We investigated how psychosocial stress influences performance and neural processing during a Go/NoGo task. Eighty participants either underwent the Trier Social Stress Test (TSST) stress induction, or completed personality questionnaires as a control condition. Then, participants completed an fMRI Go/NoGo task, with blood pressure and salivary cortisol measurements taken intermittently. The TSST was successful in eliciting a stress response, as indicated by subjective stress ratings (t = -9.57, p < 0.001) and change in systolic blood pressure (t = -2.47, p = 0.018). Participants who underwent the TSST made fewer commission errors on trials requiring the most inhibitory control relative to the control group (t = -2.86, p = 0.026), suggesting increased vigilance. Univariate GLM analysis of task brain activity revealed no between-group differences for any region. However, using multivariate pattern analysis, stress and control groups were differentiated in the medial intraparietal area (mIPA, affiliated to the dorsal attention network; classification accuracy (CA) = 69.4%; FDR-corrected p = 0.045); the cerebellum (default mode network; CA = 72.2%; p = 0.019); and the brainstem (visual network; CA = 70.8%, p = 0.025). The mIPA and the cerebellum have been implicated in visuomotor coordination, a function central to goal-directed behavior. These results suggest that stressor-induced hypervigilance can have a facilitative effect on cognitive performance which is represented neurally by the activation patterns of cognitive control regions.
A21 – Response inhibition in schizophrenia: neural mechanisms revealed by the P3 and lateralized readiness potential
Presenter
Xiangfei Hong
Shanghai Mental Health Center
Co-Author
Fuzhong Yang
Shanghai Mental Health Center
Co-Author
Yegang Hu
Shanghai Mental Health Center
Co-Author
Zhenying Qian
Shanghai Mental Health Center
Co-Author
Jijun Wang
Shanghai Mental Health Center
Co-Author
Chunbo Li
Shanghai Mental Health Center
Co-Author
Jianhua Sheng
Shanghai Mental Health Center
Schizophrenia is characterized by increased impulsivity and poorly planned behavior, which may originate from a deficit in the response inhibition system. We hypothesized that inhibition deficits in schizophrenia might depend on the specific levels of response tendencies that need to be inhibited. To test this hypothesis, we analyzed the event-related potential marker of response inhibition, i.e., P3, recorded from 29 schizophrenia patients (SZs; 17 women; mean age: 30.4 years) and 31 healthy control subjects (HCs; 17 women; mean age: 29.1 years) in a combined flanker-Go/NoGo task. The response tendency level in each NoGo trial was quantified by its lateralized readiness potential (LRP). For each subject, the NoGo trials were sorted into 3 groups according to their response tendency levels, i.e., single-trial LRPs. Behaviorally, we found that although SZs showed lower NoGo accuracy than HCs (p = 0.016), the NoGo accuracy decreased as the response tendency level increased in both groups (p = 0.003). For P3, the two-way ANOVA did not reveal significant main effect of group (p = 0.481), but reveal a significant interaction between response tendency and group (p = 0.003). Further tests suggested that only HCs showed significantly increased P3 amplitudes as the response tendency level increased (p = 0.019). In contrast, SZs showed a trend of decreased P3 amplitudes as the response tendency level increased (p = 0.125). Together, these results support our hypothesis by suggesting that the failure to increase P3 amplitudes in response to increased response tendency levels might underlie the inhibition deficits in SZs.
A22 – Investigating the Relationship Between Aerobic Fitness and Performance Across Cognitive Domains in Healthy Young Adults
Presenter
Alexander Stuber
University of California, Santa Barbara
Co-Author
Tom Bullock
University of California, Santa Barbara
Co-Author
Tyler Santander
University of California, Santa Barbara
Co-Author
Alexander P. Boone
Oregon State University
Co-Author
Mary MacLean
University of California, Santa Barbara
Co-Author
Liann Jimmons
University of California, Santa Barbara
Co-Author
Jamie Raymer
University of California, Santa Barbara
Co-Author
Gold Okafor
University of California, Berkeley
Co-Author
Michael Miller
University of California, Santa Barbara
Co-Author
Barry Giesbrecht
University of California, Santa Barbara
Co-Author
Scott Grafton
University of California, Santa Barbara
Regular physical activity has well-documented benefits for the human mind and brain, such as improved mood and wellbeing, enhanced cognitive function, and reduced risk of age-related cognitive decline. Most existing studies have investigated long-term exercise effects on cognition in older adults and children, reporting that enhanced physical fitness is particularly important for brain function during these transitional and developmental periods. However, the relationship between fitness and cognitive function in healthy young adults is less well understood. This represents an important knowledge gap given that optimal cognitive function is important for success in many aspects of adult life, including higher education performance and career success. Here, we investigate whether aerobic fitness is predictive of performance across a range of cognitive domains in a large sample of healthy young adults. Participants (n=178) completed tasks designed to measure spatial navigation, working memory, recognition memory, selective attention, and inhibitory control. On a separate day they underwent a fitness test to measure their aerobic capacity (VO2max). Preliminary results suggest a relationship between fitness and performance on the inhibitory control and spatial navigation tasks. Participants with higher fitness levels made faster responses in the inhibitory control task (p<.01), took more shortcuts in the spatial navigation task (p<.001), and were more efficient at navigating a previously learned maze (p<.05). These findings suggest that physical fitness is important for optimal performance in tasks that engage both inhibitory control as well as long-term memory systems.
A23 – Learning to control: How agents can optimally use top-down gating signals to implement different task sets.
Presenter
Pieter Verbeke
Ghent University
Co-Author
Tom Verguts
Ghent University
Cognitive control is commonly referred to as the ability to select task-relevant information and eliminate interference from task-irrelevant information. Additionally, it is generally accepted that cognitive control is implemented by top-down gating of task-relevant processing. Surprisingly, there are little systematic computational investigations of how such gating is best implemented. We evaluate four different ways of how this can be done. In a first approach, non-adaptive additive gating is applied. Here, in each task context, a different random top-down signal is provided to the network. This top-down input introduces an extra variability which reduces interference between tasks. Second, in adaptive additive gating, again top-down input is added to the network. However, here, top-down weights are susceptible to the same (backpropagation) learning rules as regular task-processing weights. Third, in random multiplicative gating, the network inhibits and/or excites a random proportion of pathways in every task context by multiplying activation with zero (inhibition) or a random positive value (excitation). Fourth, in adaptive multiplicative gating, the network learns which processing pathways to excite or inhibit in order to allow optimal overlap between task sets. We test the model on several alternating task sets with different degrees of overlap. While for some task sets, stimulus-response mappings are orthogonal, other task sets exhibit a partial or even complete overlap between the respective mappings. The adaptive multiplicative gating model outperforms all other models in terms of accuracy. Moreover, we show that this model develops hidden representations that optimally represent (dis)similarity between task contexts.
A24 – Quantitative meta-analyses of fMRI Correlates of Executive Functions Training
Presenter
Valentina Bachurina
Higher School of Economics National Research University
Co-Author
Marie Arsalidou
Higher School of Economics National Research University
Executive functions (EFs) can be defined as a set of cognitive abilities that enable concentration, and flexibility when generating solutions to complex goal-directed mental actions. Performance on laboratory tests of EFs has been associated with important components of well-being and social success. A large number of training and intervention programs are being designed and advertised to improve EFs. Given the importance of EFs and potential impact of EFs training we need to improve our understanding of neural representation of such interventions. The goal of the current quantitative meta-analyses is to examine concordance of brain responses associated with the effectiveness of EFs intervention. PRISMA guidelines were used for article selection and eligibility identification. Searches in Web of Science and PubMed with keywords ‘training’, ‘intervention’, ‘functional magnetic resonance imaging’, ‘functional MRI’, ‘executive function’, ‘inhibition’, ‘updating’, ‘switching’, ‘cognitive flexibility’, ‘working memory’, ‘inhibitory’ yielded 1399 (Web of Science), and 304 (PubMed) potential studies. Selection criteria included fMRI studies that examine EFs in healthy young adults, reported pre- and post- training whole-brain stereotaxic coordinates resulted in 17 eligible articles. GingerALE was used to analyses coordinates related to pre- and post- training. Preliminary results show that key concordance related to EF intervention is expressed in medial, superior and middle frontal gyri and the anterior insula. Frontal regions are generally associated with cognitive processing whereas the insula is related with various interoceptive, cognitive and affective functions. Implications for EF training programs are discussed.
Support is gratefully acknowledged from the Russian Science Foundation #17-18-01047
A25 – The Effect of Frequent Cannabis-Use on Cognitive-Motor Tasks
Presenter
Assel Al-Bayati
York University
Co-Author
Holly Clayton
York University
Co-Author
Ryan Cortez
York University
Co-Author
Bernard Marius ’t Hart
York University
Co-Author
Denise Henriques
York University
Since the legalization of recreational use of cannabis took effect in Canada, many questions have been brought forward regarding its immediate and sustained effect on daily tasks. To investigate the effect of cannabis on various brain functions, we created a battery of cognitively demanding, visual-spatial and visual-motor tasks. Here, we discuss preliminary findings of two tasks. The first is a speeded Go/No-Go task (80% go, 20% no-go) that measures the ability to inhibit motor impulses. Task performance is analyzed by comparing the proportion of false alarms on no-go trials as well as reaction times on hits and false alarms in frequent cannabis users (N=34) and non-users (N=62). Our findings indicate that frequent users and non-users performed similarly, except that frequent cannabis users exhibited less false alarms. These results may suggest the absence of a negative effect of cannabis on performance of impulse inhibition. The second task is a spatial N-Back task (1-Back, 2-Back, & 3-Back) which assesses working memory and working memory capacity. This task is analyzed by comparing the proportion and reaction times of correct and incorrect trials in frequent cannabis users (N=29) and non-users (N=51). We found no difference in task performance on the spatial N-Back task for frequent users of cannabis, versus non-users. These results may suggest that frequent cannabis-use is not associated with working memory impairments. While there might be immediate effects of cannabis use, our preliminary results show little to no prolonged effects of cannabis on spatial working memory and impulsivity control.
A26 – Altered Brain Activity in Survivors of Pediatric Acute Lymphoblastic Leukemia with Executive Dysfunction
Presenter
Kellen Gandy
St. Jude Children’s Research Hospital
Co-Author
Matthew Scoggins
St. Jude Children’s Research Hospital
Co-Author
Nicholas Phillips
St. Jude Children’s Research Hospital
Co-Author
Lisa Jacola
St. Jude Children’s Research Hospital
Co-Author
Ching-Hon Pui
St. Jude Children’s Research Hospital
Co-Author
Melissa Hudson
St. Jude Children’s Research Hospital
Co-Author
Gene Reddick
St. Jude Children’s Research Hospital
Co-Author
Kevin Krull
St. Jude Children’s Research Hospital
Functional magnetic resonance imaging (fMRI) and neurocognitive testing were obtained in 138 survivors (44% male; median [min-max] age = 13.5 [8.2-26.5] years; time since diagnosis = 7.6 [5.1-12.5] years) treated on the St. Jude Total 15 protocol. Executive function was assessed with standardized tests of working memory (Digit Span Backwards), fluency (D-KEFS Verbal Fluency) and cognitive flexibility (D-KEFS Trail Making). Impairment was defined as at least one score <10th percentile of age-standardized normative data. fMRI was obtained on a 3T scanner during an N-back working memory task. Functional data were preprocessed (realigned, slice time corrected, normalized and smoothed) and analyzed using Statistical Parametric Mapping with contrasts developed for the 0-back, 1-back vs 2-back, and 2-back conditions which reflect varying degrees of working memory and task load. Of the 138 survivors, 52 (38%) demonstrated impaired executive function on neurocognitive assessments and functional neuroimaging data was compared with between survivors with and without impaired executive function. Survivors with impaired executive function displayed less activation in the left dorsal lateral prefrontal cortex during increased work memory task load (i.e., 2-back vs 1-back), compared to survivors without impaired executive function (p < 0.001, adjusting for age and sex). This pattern suggests that survivors are at risk for disrupted or delayed functional development of frontal lobe, which is associated with impaired executive function.
A27 – Vocabulary Skills Predict Decision-Making
Presenter
Ashley Miller
University of Tennessee Knoxville
Co-Author
Kara N. Lowery
University of Tennessee Knoxville
Co-Author
Aaron T. Buss
University of Tennessee Knoxville
The purpose of this study was to examine the relationship between children’s vocabulary and neurocognitive measures of cognitive control. We recruited 3-year-olds to perform a cognitive control task that required inhibiting irrelevant information. Parents completed a vocabulary survey to report how many words their children knew. We hypothesized that children with higher vocabulary skills would perform better and produce stronger neural activation in the cognitive control task. Our results indicated that vocabulary score was not associated with behavioral performance on the cognitive control task; however, neural activation in left parietal cortex during the inhibition condition was related to vocabulary score. Specifically, higher vocabulary scores were associated with stronger activation in this region.
A28 – Maternal depression is associated with alterations in reading-related neuronal circuitry among their preschool children
Presenter
Rola Farah
Technion Israel Institute of Technology
Co-Author
Paige Greenwood
Cincinnati children’s Hospital Medical Center
Co-Author
Jonathan Dudley
Cincinnati children’s Hospital Medical Center
Co-Author
John S. Hutton
Cincinnati children’s Hospital Medical Center
Co-Author
Tzipi Horowitz-Kraus
Technion Israel Institute of Technology
Language development during early childhood is related to exposures to literacy materials and parent-child interaction. Studies have shown that engagement between mother and child is highly related to the mother’s mental health and to child’s cognitive and emotional development. Maternal depression is characterized by a lack of emotional responsiveness and engagement with their child, which may lead to decreased cognitive and language outcomes during child development and to altered reading acquisition. The goal of the current study was to define the neurobiological correlates between maternal depression and future reading related- neural circuits in their preschool children. Eleven 4-year old girls completed behavioral assessments to examine language abilities and resting state fMRI. Their mothers completed the Beck’s Depression Inventory (BDI) to examine maternal depression. Results showed that higher maternal depression is associated with decreased within network connectivity of their child’s semantic and phonological network during rest (P<.05, FDR corrected). Post-hoc tests showed that this correlation was driven by the left and right angular gyrus (BA 39) being less connected with higher maternal depression scores. These results suggest that mothers that experience depressive symptoms have children with less stimulated phonological-related neural circuits. It might be that altered interaction of mothers with elevated depression levels with their young children could be related to decreased synchronization of these reading related networks during rest. We conclude that after a mother gives birth, resources should be provided to minimize depressive symptoms and interventions should be applied to support their child’s language development for future reading acquisition.
A29 – Resting-state brain connectivity and reading in pre- and beginning readers
Presenter
Yingying Wang
University of Nebraska-Lincoln
Co-Author
Soyoung Park
spark25@huskers.unl.edu
Co-Author
Avantika Mathur
University of Nebraska-Lincoln
Co-Author
Marusha Ather
University of Nebraska-Lincoln
Fluent decoding of written text is the foundation of a successful transition from pre-reading to the beginning reading stage, which requires complex cognitive processes including both bottom-up and top-down processes. Resting-state brain connectivity using functional magnetic resonance imaging offers a task-free design to study the neural plasticity of brain networks. There is a scant understanding of how resting-state brain connectivity relates to reading development dynamics during this critical transition period from typically developing pre-readers to beginning readers. In this study, we examined the developmental patterns of resting-state brain connectivity and determined individual variances in reading-related psychometric measures, as well as brain-behavioral relationships in 17 pre-readers (4.6-6.9 years) and 12 beginning readers (7.0-10.0 years). Beginning readers had stronger functional connectivity between lateral occipital-temporal and bilateral posterior superior temporal gyrus than pre-readers. The composite scores of decoding skills from the two groups combined were significantly positively correlated with functional connectivity strength between the medial prefrontal cortex and the anterior portion of the cerebellar network (r=.57, p=.004). Our findings suggested that beginning readers had stronger functional connectivity between visual and language networks than pre-readers, which may reflect the beginning readers’ acquisition of orthographic knowledge and better decoding skills. This difference in functional connectivity during the transition from pre-reading to beginning reading stages had not been reported in other resting-state functional magnetic resonance imaging studies.
A30 – Interfacing sound, meaning and constraint: Neural infrastructure for incremental interpretation
Presenter
Yuxing Fang
University of Cambridge
Co-Author
Bingjiang Lyu
University of Cambridge
Co-Author
Benedict Vassileiou
University of Cambridge
Co-Author
Kamen Tsvetanov
University of Cambridge
Co-Author
Lorraine Tyler
University of Cambridge
Co-Author
William Marslen-Wilson
University of Cambridge
Human speech comprehension depends on the dynamic integration of speech inputs with contextual constraints to enable the rapid and robust incremental interpretation of the current utterance. Here we focus on the earliest stages of this process, to determine how contextual constraints (typically generic in nature rather than lexically specific) interact with very early cues in the speech input to constrain word choice over the first 250 ms after word onset. To map out the neurocomputational infrastructure that supports these core integrative processes, we tested which brain regions are involved, the connectivity between them, the timing with which different inputs are integrated, and how different types of constraints are neurally represented. To do this, we combine MEG and EEG measures of real-time brain activity with NLP models of linguistic form and content, imaging analysis methods (Representational Similarity Analysis, Grainger Causal analysis) and data-driven whole-brain procedures (ICA) for segmenting brain activity into potential component networks. We uniquely identify a LH fronto-temporal network that integrates acoustic-phonetic cues and contextual constraints to support the early identification of lexical form and meaning. This integration process is not visible at word-onset, suggesting that bottom-up constraints are necessary to set the representational geometry of an analysis space with which semantic constraints can interface. A parallel RH fronto-temporal network shows strong sensitivity to acoustic-phonetic and phonological models, but no systematic response to semantic models. These results provide a novel perspective on a core network underpinning incremental speech interpretation.
A31 – Evidence of an association between sign language proficiency and language network connectivity in deaf early signers
Presenter
Emil Holmer
Linköping University
Co-Author
Krister Schönström
Stockholm University
Co-Author
Josefine Andin
Linköping University
Processing of signed and spoken languages is supported by a neural language network involving perisylvian regions. Better spoken language proficiency is associated with increased functional connectivity within this language network, and in this study we investigated whether an analogous association exists in the signed modality. Fifteen adult, deaf early signers, with typical non-verbal cognitive ability, were enrolled in a resting state fMRI study. Language proficiency was assessed using the Swedish Sign Language – Sentence Repetition Task (STS-SRT), which is used to measure global sign language proficiency in deaf adults. The language network was identified using the Conn toolbox and included four nodes, the bilateral inferior frontal gyrus and the bilateral posterior portions of the superior temporal gyrus. The results showed that better STS-SRT scores were associated with stronger functional connectivity within the language network, both within and between the left and right hemisphere. The language-specificity of this association was supported by the fact that no statistically significant association was observed between performance on a non-verbal cognitive task and connectivity within the language network. The results of this study suggest that an association between language proficiency and connectivity within the language network is modality general, and highlights the role of sign language skills for brain organization in deaf adults.
A32 – Gender Differences in Neural Sensitivity to Emotional Prosody in Spoken Words
Presenter
Chieh Kao
University of Minnesota
Co-Author
Yang Zhang
University of Minnesota
Emotional prosody is the intonation variations in the speech that convey a speaker’s internal state and social intention. Proper recognition of emotional prosody facilitates verbal communication and social interaction. Previous event-related potential (ERP) studies documented an early negative (mismatch negativity, MMN) and a later positive (P3a) involuntary neural responses to the detection of emotional prosody change (Zora et al., 2019). Furthermore, women tend to show stronger MMN to emotional sound change (Schirmer et al., 2005), and this higher neural sensitivity may be emotion-specific (Hung & Cheng, 2013). Nonetheless, these ERP components and the gender effect were elicited by controlling the linguistic content of the speech stimuli. It remains unclear whether natural affective prosody across varying linguistic carriers would elicit similar activation patterns. The current study adopted the multi-feature oddball paradigm to investigate the ERP responses to three basic emotional prosodies-happy, angry, and sad-embedded in varying monosyllabic English words. Twenty-two adult listeners (female = 11) completed the experiment. We confirmed that MMN and P3a can be elicited by emotional prosodic change over non-repeating words. A P200 difference was also observed right before the MMN. Linear mixed-effect models further confirmed weaker P200 difference but stronger MMN and P3a to happy than sad voice. Gender differences were present across emotions, but women’s higher neural sensitivity to emotion was not consistently observed over the sequence of ERP components. Further time-frequency analysis will be applied to investigate the emotion-specific neural oscillatory patterns at theta and gamma bands, which are relevant to cognitive processing.
A33 – Neural asymmetry in English vowel feature [high]: Evidence from /É?/ versus /?/
Presenter
Yan Yu
St. John’s University
Co-Author
Valerie Shafer
The Graduate Center, City University of New York
Co-Author
Astro Skliras
St. John’s University
Co-Author
Julia Gonzalez
St. John’s University
Co-Author
Megan Dicosta
St. John’s University
Many studies have observed asymmetries in the amplitude of the neural index, Mismatch Negativity (MMN) dependent on which of a phonemically-contrastive minimal pair serves as the standard versus the deviant. Explanations for this pattern range from acoustic to linguistic factors. We tested whether the MMN amplitude asymmetry generated to the English mid vowel /É?/ versus high vowel /?/ contrast was compatible with an underspecification account, in which the underspecified height values are [-high] and [-low]. MMN was larger for /É?/ as the deviant, but only when compared to itself as the standard. For the within-condition comparison, MMN was larger to /?/ deviant minus /É?/ standard than to the reverse. A condition order effect was also observed. MMN amplitude was smaller to the deviant stimulus if it had previously served as the standard. These findings were compatible with an underspecification account, but also with other accounts, such as the Natural Referent Vowel model and a prototype model; we also suggest that non-linguistic factors need to be carefully considered as additional sources of speech processing asymmetries.
A34 – Prediction of treatment-related language recovery in post-stroke aphasia from neuroimaging and behavioral data
Presenter
Anne Billot
Boston University
Co-Author
Sha Lai
Boston University
Co-Author
Maria Varkanitsa
Boston University
Co-Author
Emily Braun
Boston University
Co-Author
Murtadha Bahrani
Boston University
Co-Author
Brenda Rapp
Johns Hopkins University
Co-Author
Todd Parrish
Northwestern University
Co-Author
David Caplan
Harvard Medical School
Co-Author
Cynthia Thompson
Northwestern University
Co-Author
Prakash Ishwar
Boston University
Co-Author
Margrit Betke
Boston University
Co-Author
Swathi Kiran
Boston University
Individuals with post-stroke aphasia show different patterns of recovery. In this study, we investigated whether the combination of multimodal neuroimaging, behavioral and demographic data could improve prediction of language recovery for individuals with aphasia compared to models using a single feature type. 55 individuals with chronic post-stroke aphasia completed a 12-week language treatment. Participants underwent a battery of language and neuropsychological assessments and an MRI scan before the treatment. Treatment probes specific to the language domain trained were administered every week. Behavioral scores (aphasia severity, cognitive composite scores), demographic data (age, months post-stroke onset, education), information on the brain structural integrity (lesion size, percent spared in grey and white matter regions, fractional anisotropy in white matter tracts) and functional connectivity data (bivariate pairwise correlations between regions of interest) were included as input features in the models. Responsiveness to treatment corresponds to the percentage change in treatment probe accuracy and was predicted using classification models. Responders and non-responders to treatment were classified using Random forests and Support Vector Machine models. Performance of models using a single feature and combined feature sets were evaluated using a leave-one-out cross-validation procedure. Pilot data demonstrated that models including multiple feature sets better predict responsiveness to treatment (best multimodal model: F1 score=86.49 vs. best single feature set model: F1 score=77.78). Specifically, functional connectivity information and aphasia severity seem to be strong predictors of treatment-related language recovery in individuals with post-stroke aphasia. Ongoing analyses include (i) feature engineering and fine-tuning on classification models and (ii) regression models.
A35 – Structural connectome and lesion-based predictors of reading in subacute left-hemisphere stroke.
Presenter
Olga Boukrina
Center for Stroke Rehabilitation Research
Co-Author
A.M. Barrett
Center for Visual and Neurocognitive Rehabilitation
Co-Author
Ashish Mistry
Rocco Ortenzio Neuroimaging Center
Co-Author
William Graves
Rutgers, The State University of New Jersey
Reading relies on a distributed network of brain areas subserving word-form recognition (orthography), letter-to-sound mapping (phonology), and auditory and visual word-form to meaning mapping (semantics). Stroke can directly impact these areas or result in disconnections among multiple areas not directly affected by a lesion. In the aphasia literature, there is a lack of consensus on the prognostic value of the structural connectome in predicting post-stroke impairments compared to lesion volume and location data. While some studies show that lesion and connectome-based predictors of language deficits are comparable in accuracy, others report no advantage for connectivity-based prediction over lesion data alone on a wide range of language tests. Using multimodal neuroimaging data from 37 left-stroke patients undergoing acute rehabilitation, we examine the contribution of structural lesions and white matter (WM) connectivity to reading impairments defined by orthography, phonology, and semantics competence. Voxelwise lesion analysis controlling for lesion volume identified supramarginal, inferior temporal and fusiform gyri, and insular white matter as areas of damage most associated with phonological impairments. Lateral occipital, middle frontal, parahippocampal cortex, precuneus, putamen, and the splenium were associated with semantic impairments. Fusiform, supramarginal, insular cortex, and white matter underlying the inferior frontal cortex were linked with orthographic impairments. Our findings re-emphasize the importance of major white matter (WM) tracts in reading through WM integrity-behavior associations for orthography (inferior fronto-occipital fasciculi (IFOF)), phonology (superior and inferior longitudinal fasciculi (SLF, ILF), and semantics (SLF, IFOF, cingulum, corpus callosum). Disruption of this connectivity is associated with specific dimensions of reading.
A36 – Language areas adapt processing strategies to the temporal properties of speech
Presenter
Anastasia Klimovich-Gray
BCBL – Basque Center on Cognition, Brain and Language
Co-Author
Nicola Molinaro
BCBL – Basque Center on Cognition, Brain and Language
Temporal regularities of natural connected speech allow for optimised bottom-up speech signal processing while top-down semantic predictions help to integrate words into context. It is, however, unclear how these processes interact and adapt to the changes in speech speed or semantic content. In this study we asked how varying semantic constraints and temporal regularity of spoken sentences affect speech processing, specifically phonological analysis and semantic predictions. To do so we analysed time-resolved brain activity (MEG) while participants listened to variably constraining sentences. Additionally we disrupted the temporal regularity of speech by randomly speeding up and slowing down the audio signal. While all sentences were successfully comprehended, presence of temporal jitter engaged a markedly different cortical processing strategy. Temporal jitter predictably interfered with parsing – coherence between cortical signals and the sentence auditory envelope was reduced in the theta band (5-8Hz, right temporal sensors). Simultaneously, temporal jitter reduced listeners’ ability to generate top-down predictions about upcoming words (assessed with representational similarity analysis RSA) in the left frontotemporal areas. This prediction reduction coincided with stronger effects of phonological analysis for individual words. We argue that temporal regularity of the speech improves parsing, thereby reducing the perceptual processing cost and releasing resources for higher-order contextual analysis. Deterioration of temporal cues impedes speech parsing, degrades contextual effects and at the same time re-focuses the processing strategy to the extraction of phonological information. We show that the cortical language circuits dynamically adapt their processing to match the demands of the incoming speech stream.
A37 – Maternal education and narrative comprehension in children with reading difficulties
Presenter
Paige Greenwood
University of Cincinnati College of Medicine
Co-Author
Elisha Scott
Cincinnati Children’s Hospital Medical Center
Co-Author
Jonathan Dudley
Cincinnati Children’s Hospital Medical Center
Co-Author
John Hutton
Cincinnati Children’s Hospital Medical Center
Co-Author
Mark DiFrancesco
Cincinnati Children’s Hospital Medical Center
Co-Author
Tzipi Horowitz-Kraus
Technion Israel Institute of Technology
Narrative comprehension is the ability to comprehend oral language and is enhanced during parent-child engagement. However, children with reading difficulties (RD) often have deficits in core abilities such as executive functions (EFs) and language processing that are key for narrative comprehension development. Maternal education is a construct of socioeconomic status and is a predictor of language development and reading acquisition. Here, we aim to define the relationship between maternal education and the behavioral and neurobiological correlates of narrative comprehension for children with RD and typically developing readers (TRs). Seventy-two school age-children with RD and TRs performed reading, EFs and linguistic tasks, as well as an fMRI stories listening paradigm. Maternal education was collected as a continuous variable based on education in years. fMRI data was analyzed using a seed-to-voxel analysis focusing on the language network. Higher maternal education was associated with better receptive vocabulary and phonological processing in children with RD. Higher maternal education was also associated with increased functional connectivity between the language network and regions related to visual word recognition such as the left lingual gyrus and right intracalcarine cortex in children with RD vs. TRs. We suggest that maternal education may facilitate a compensatory mechanism for better language abilities, such as increased engagement of neural networks supporting imagination/visualization in children with RD.
A38 – Correlated brain indexes of semantic prediction and prediction error: brain localization and category specificity
Presenter
Luigi Grisoni
Freie Universität, Brain Language Laboratory
Co-Author
Rosario Tomasello
Freie Universität, Brain Language Laboratory
Co-Author
Friedemann Pulvermüller
Freie Universität, Brain Language Laboratory
Accurate predictions allow to understand a message easily and quickly, whereas unpredictable utterances require more processing. Consistently, previous evidences have shown a linear relationship between anticipatory signals occurring before predictable stimuli (Prediction Potential) and post-stimulus responses (Mismatch Negativity, MMN). However, since MMN paradigms are not ecological, as they are characterized by a highly redundant stimulus presentation, it remains to be investigated whether similar mechanisms also occur in situations closer to everyday experiences. We here demonstrate the interplay between prediction and perception during sentence comprehension. Sentence fragments constraining the expectation of a specific word induced anticipatory brain activity before the expected input; this slow-wave potential was absent in case of weak expectations. That this anticipatory slow wave was related to predictive processing was further demonstrated by correlations between this signal and both subjective reports of certainty about upcoming words and objective corpus-based measures, thus confirming this response as a semantic prediction potential (SPP). Furthermore, an inverse correlation between the SPP and the following N400 brain response suggested the interpretation of the N400 as a prediction error response. The sources underlying the pre- (SPP) and post-stimulus (N400) responses were located in inferior prefrontal and posterior temporal cortices, respectively. In addition, category-specific clusters of activation in modality-preferential visual and motor brain areas for animal- and tool-related words, respectively, indicated that both measures reflected aspects of sentence meaning. Overall, these data reveal that the N400, has an antecedent, the SPP which may determine the N400 dynamics.
A39 – Evidence for age differences in neural distinctiveness at category and item level
Presenter
Myriam C. Sander
Max Planck Institut for Human Development, Berlin, Germany
Co-Author
Malte Kobelt
Max Planck Institut for Human Development, Berlin, Germany
Co-Author
Verena R. Sommer
Max Planck Institut for Human Development, Berlin, Germany
Co-Author
Attila Keresztes
Eötvös Loránd University, Budapest, Hungary
Co-Author
Markus Werkle-Bergner
Max Planck Institut for Human Development, Berlin, Germany
A popular hypothesis of cognitive aging research states that loss of neural specificity in old adulthood contributes to cognitive decline. While computational models suggested that this so-called neural dedifferentiation affects the neural representation on the item level, previous studies mostly focused on age differences of categorical information representation in ventral visual regions. In an age-comparative fMRI study, we combined univariate analyses and whole-brain searchlight pattern similarity analyses to elucidate age differences in neural distinctiveness at both category and item levels and their relation to memory. Thirty-five human younger adults (18–27 years old) and 32 older adults (67–75 years old) incidentally encoded images of faces and houses, followed by an old/new recognition memory task. Univariate analysis replicated previous results of age-related reductions in category-selective regions in ventral visual cortex. Interindividual differences in category selectivity were related to memory performance. Age differences in category-selective regions were also found with multivariate pattern analysis, but these showed no relation to memory performance. Finally, whole-brain search light analyses revealed additional age differences in item-level specificity in occipital regions. These were driven by younger adults’ higher item stability, that is, representational similarity between initial and repeated presentation of an item. Importantly, successful subsequent memory performance also built on high item stability. Together, our results emphasize that representational differences have consequences for memory performance. More importantly, they close an important gap in the literature, showing that not only older adults’ neural representation of category information, but also item-specific information is reduced compared to younger adults.
A40 – Mindfulness training dependent improvements in cognition and enhanced intrinsic hippocampal connectivity in older adults
Presenter
Gunes Sevinc
Massachusetts General Hospital & Harvard Medical School
Co-Author
Johann Rusche
University Medical Center Hamburg-Eppendorf
Co-Author
Bonnie Wong
Massachusetts General Hospital & Harvard Medical School
Co-Author
Tanya Datta
David Geffen School of Medicine, UCLA
Co-Author
Robert Kaufman
UCSD
Co-Author
Dorene Rentz
Brigham and Women’s Hospital
Co-Author
Bradford Dickerson
Massachusetts General Hospital & Harvard Medical School
Co-Author
Sara Lazar
Massachusetts General Hospital & Harvard Medical School
Maintaining optimal cognitive functioning throughout the lifespan is a public health priority. Investigation of cognitive outcomes following various intervention methods for promoting and preserving brain structure and function, and associated neural mechanisms are therefore of critical importance. In this randomized controlled longitudinal study, we examined the behavioral and neural outcomes following mindfulness training (n=48), compared to a cognitive fitness program (n=49) in healthy, cognitively normal, older adults (65-80 years old). To assess cognitive functioning, we used the Preclinical Alzheimer Cognitive Composite (PACC), that combines measures of episodic memory, executive function, and global cognition. We hypothesized that mindfulness training would enhance cognition, increase connectivity between the hippocampus and posteromedial cortex, as well as promote increased gray matter volume within those regions. Supporting our hypothesis, only mindfulness training led to improvements on the PACC. While there were no significant changes in gray matter volumes following the interventions, an investigation of mindfulness training dependent improvements demonstrated that increases in cognition were associated with increases in intrinsic connectivity within the default network components, particularly between the right hippocampus and posteromedial cortex, and between the left hippocampus and lateral parietal cortex. These findings demonstrate that mindfulness training improves cognitive performance in cognitively intact older individuals and promote successful cognitive aging through enhanced connectivity within the large-scale memory network.
A41 – The Behavioural Relationship Between Memory and Spatial Cognition is Weaker in Older Adults
Presenter
Adina Levi
Rotman Research Institute
Co-Author
Zorry Belchev
Rotman Research Institute
Co-Author
Leanne Mendoza
Rotman Research Institute
Co-Author
Madison Fraser
Rotman Research Institute
Co-Author
Dr. Robin Green
University Health Network
Co-Author
Dr. Gary Turner
York University
Co-Author
Dr. Asaf Gilboa
Rotman Research Institute
The hippocampus has been heavily implicated in two cognitive domains – memory and spatial cognition. Major theories predict a close relationship between these two domains, but empirical evidence is scarce and mixed. It has been established that healthy aging is associated with a decline in both hippocampal volume and function, but it is unclear how these declines affect the relationship between these domains. We investigated whether a relationship between mnemonic and spatial hippocampal-dependent abilities exists in younger and older adults. The Mnemonic Similarity Task was used to index pattern separation and the Memory Image Completion to index pattern completion. Spatial cognition was measured objectively using virtual navigation and path integration tasks and subjectively using navigation questionnaires. In younger adults, both subjective and objective measures of spatial abilities, most prominently mental mapping abilities, successfully predicted both memory processes. Validation analyses in older adults based on the structure of the relationship in the younger adults did not support a behavioural dependence between the two domains. Exploratory analyses in the older adult group also did not reveal a significant relationship between the two. These results suggest that abilities in memory and spatial cognition domains are related in younger adults, but that in healthy aging the two are independent. These findings help to establish the understanding of the functional relatedness of structurally-related abilities, and can help to inform the development of interventions for aging.