Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling

Author:

Saberi AminORCID,Wischnewski Kevin J.,Jung Kyesam,Lotter Leon D.,Schaare H. Lina,Banaschewski Tobias,Barker Gareth J.,Bokde Arun L.W.,Desrivières Sylvane,Flor Herta,Grigis Antoine,Garavan Hugh,Gowland Penny,Heinz Andreas,Brühl Rüdiger,Martinot Jean-Luc,Paillère Martinot Marie-Laure,Artiges Eric,Nees Frauke,Papadopoulos Orfanos Dimitri,Lemaitre Herve,Poustka Luise,Hohmann Sarah,Holz Nathalie,Baeuchl Christian,Smolka Michael N.,Vaidya Nilakshi,Walter Henrik,Whelan Robert,Schumann Gunter, ,Paus Tomáš,Dukart Juergen,Bernhardt Boris C.,Popovych Oleksandr V.,Eickhoff Simon B.ORCID,Valk Sofie L.ORCID

Abstract

SummaryThe 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 humanin vivoevidence on adolescent maturation of the excitation-inhibition balance at the individual level is limited. Here, we developed an individualizedin vivomarker 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 maturationin vivoat the individual level.

Publisher

Cold Spring Harbor Laboratory

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