bioRxivNeurosciencePreprint
Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling
Amin SaberiiD, Kevin J. WischnewskiiD, Kyesam JungiD, Leon D. LotteriD, H. Lina SchaareiD, Tobias BanaschewskiiD, Gareth J. BarkeriD, Arun L.W. BokdeiD, Sylvane DesrivièresiD, Herta FloriD, Antoine GrigisiD, Hugh GaravaniD, Penny Gowland, Andreas Heinz, Rüdiger BrühliD, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke NeesiD, Dimitri Papadopoulos OrfanosiD, Herve Lemaitre, Luise PoustkaiD, Sarah HohmanniD, Nathalie HolziD, Christian Baeuchl, , Sofie L. ValkiD
Abstract
The balance of excitation and inhibition is a key functional property of cortical microcircuits which changes through the lifespan. Adolescence is considered a crucial period for the maturation of excitation-inhibition balance. This has been primarily observed in animal studies, yet human in vivo evidence on adolescent maturation of the excitation-inhibition balance at the individual level is limited. Here, we developed an individualized in vivo marker of regional excitation-inhibition balance in human adolescents, estimated using large-scale simulations of biophysical network models fitted to resting-state functional magnetic resonance imaging data from two independent cross-sectional (N = 752) and longitudinal (N = 149) cohorts. We found a widespread relative increase of inhibition in association cortices paralleled by a relative age-related increase of excitation, or lack of change, in sensorimotor areas across both datasets. This developmental pattern co-aligned with multiscale markers of sensorimotor-association differentiation. The spatial pattern of excitation-inhibition development in adolescence was robust to inter-individual variability of structural connectomes and modeling configurations. Notably, we found that alternative simulation-based markers of excitation-inhibition balance show a variable sensitivity to maturational change. Taken together, our study highlights an increase of inhibition during adolescence in association areas using cross sectional and longitudinal data, and provides a robust computational framework to estimate microcircuit maturation in vivo at the individual level.
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