Abstract #0285

Structural variability in the human brain reflects functional architecture

Gwenaelle Douaud¹, Eugene Duff¹, Adrian Groves¹, Thomas Nichols^1,2, Saad Jbabdi¹, Christian Tamnes³, Lars Westlye³, Andreas Engvig³, Kristine Walhovd³, Anders Fjell³, Heidi Johansen-Berg¹, and Steve Smith¹

¹FMRIB Centre, University of Oxford, Oxford, United Kingdom, ²University of Warwick, Coventry, United Kingdom, ³University of Oslo, Oslo, Norway

It is believed that the resting-state networks closely relate to the underlying anatomical connectivity and grey matter structure but cannot be understood in those terms alone. Here, we show that a purely data-driven approach used to co-model three complementary types of grey matter information on a large, healthy population covering most of the lifespan uncovers the entire repertoire of canonical functional networks. We further demonstrate that the modes of variation of grey matter volume across all participants forming these structural networks spatially co-vary with cortical area, except in primary sensory areas where they also partially co-vary with cortical thickness.

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