TY - JOUR
T1 - Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling
AU - IMAGEN Consortium
AU - Saberi, Amin
AU - Wischnewski, Kevin J
AU - Jung, Kyesam
AU - Lotter, Leon D
AU - Schaare, H Lina
AU - Banaschewski, Tobias
AU - Barker, Gareth J
AU - Bokde, Arun L W
AU - Desrivières, Sylvane
AU - Flor, Herta
AU - Grigis, Antoine
AU - Garavan, Hugh
AU - Gowland, Penny
AU - Heinz, Andreas
AU - Brühl, Rüdiger
AU - Martinot, Jean-Luc
AU - Paillère Martinot, Marie-Laure
AU - Artiges, Eric
AU - Nees, Frauke
AU - Papadopoulos Orfanos, Dimitri
AU - Lemaitre, Herve
AU - Poustka, Luise
AU - Hohmann, Sarah
AU - Holz, Nathalie
AU - Baeuchl, Christian
AU - Smolka, Michael N
AU - Vaidya, Nilakshi
AU - Walter, Henrik
AU - Whelan, Robert
AU - Schumann, Gunter
AU - Paus, Tomáš
AU - Dukart, Juergen
AU - Bernhardt, Boris C
AU - Popovych, Oleksandr V
AU - Eickhoff, Simon B
AU - Valk, Sofie L
PY - 2024/6/18
Y1 - 2024/6/18
N2 - 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.
AB - 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.
U2 - 10.1101/2024.06.18.599509
DO - 10.1101/2024.06.18.599509
M3 - Article
C2 - 38948771
SN - 2692-8205
JO - bioRxiv : the preprint server for biology
JF - bioRxiv : the preprint server for biology
ER -