Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling
Saberi, A.; Wischnewski, K. J.; Jung, K.; Lotter, L. D.; Schaare, H. L.; Banaschewski, T.; Barker, G. J.; Bokde, A. L. W.; Desrivieres, S.; Flor, H.; Grigis, A.; Garavan, H.; Gowland, P.; Heinz, A.; Brühl, R.; Martinot, J.-L.; Paillere Martinot, M.-L.; Artiges, E.; Nees, F.; Papadopoulos Orfanos, D.; Lamaitre, H.; Poustka, L.; Hohmann, S.; Holz, N.; Baeuchl, C.; Smolka, M. N.; Vaidya, N.; Walter, H.; Whelan, R.; Schumann, G.; IMAGEN Consortium, ; Paus, T.; Dukart, J.; Bernhardt, B. C.; Popovych, O. V.; Eickhoff, S. B.; Valk, S. L.
Show 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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