Schedule of Events | Symposia

Dev-Atlas: A new Reference Atlas of Functional Brain Networks for Adolescents

Poster Session E - Monday, March 31, 2025, 2:30 – 4:30 pm EDT, Back Bay Ballroom/Republic Ballroom
Also presenting in Data Blitz Session 4 - Saturday, March 29, 2025, 10:30 am – 12:00 pm EDT, Constitution B.

Gaelle Doucet¹ (gaelle.doucet@boystown.org), Callum Goldsmith¹, Katrina Myers¹, Danielle Rice¹, Grace Ende¹, Lucina Uddin², Marc Joliot³, Vince Calhoun⁴, Tony Wilson¹; ¹Boys Town National Research Hospital, Boys Town, NE, USA, ²University of California Los Angeles, Los Angeles, CA, USA, ³Groupe d'Imagerie Neurofonctionelle-Institut des maladies neurodégénératives (GIN-IMN) UMR 5293, Bordeaux University, CNRS, CEA, Bordeaux, France, ⁴Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA

Adolescence is a critical period for neural changes, including maturation of the functional brain networks. The spatial and functional organization of these networks shows major age-related changes across the lifespan, but particularly during adolescence. Yet, there is currently no reference functional brain atlas derived from typically-developing adolescents. In this context, the aim of this study was to construct and validate a reference functional brain atlas based on typically-developing youth aged 8 to 17 years. We term this new atlas, “Dev-Atlas”. For this, we utilized datasets from three large developmental projects (Philadelphia Neurodevelopmental Cohort, the Pediatric Imaging, Neurocognition, and Genetics study, and the Lifespan Human Connectome Project – Development). We also used an independent smaller sample collected at Boys Town National Research Hospital, for replication (n=214, 53% males, mean age=12.23 (2.63) years). After strict quality control analyses and preprocessing, our final main sample was 1,391 individuals (47% males, age=13.56 (2.7) years). For each individual dataset, the first-level analysis was carried out using probabilistic single-subject Independent Component Analysis (ICA), followed by the multiscale individual component clustering algorithm (MICCA). We further conducted linear model analyses to test the effect of age and sex on each identified network. We identified 24 reproducible networks classified within 6 domains (Default-Mode, Cognitive Control, Salience, Dorsal Attention, SensoriMotor, and Visual). Large effects of age were detected but only very limited sex differences. We have created Dev-Atlas, an atlas of reliable functional brain networks based on typically-developing children and adolescents. Dev-Atlas is freely available to the research community.

Topic Area: OTHER