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| Hauptseite > Publikationsdatenbank > Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling > print |
| Hauptseite > Publikationsdatenbank > Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling > print |
| 001 | 1029131 | ||
| 005 | 20240723202043.0 | ||
| 024 | 7 | _ | |a 10.1101/2024.06.18.599509 |2 doi |
| 037 | _ | _ | |a FZJ-2024-04987 |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Saberi, Amin |0 P:(DE-Juel1)190448 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Adolescent maturation of cortical excitation-inhibition balance based on individualized biophysical network modeling |
| 260 | _ | _ | |a Cold Spring Harbor |c 2024 |b Cold Spring Harbor Laboratory, NY |
| 336 | 7 | _ | |a Preprint |b preprint |m preprint |0 PUB:(DE-HGF)25 |s 1721716840_6181 |2 PUB:(DE-HGF) |
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| 520 | _ | _ | |a 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.Keywords: Adolescence; Biophysical network modeling; Excitation-inhibition balance; Resting-state functional magnetic resonance imaging. |
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| 700 | 1 | _ | |a Wischnewski, Kevin J. |0 P:(DE-Juel1)178756 |b 1 |u fzj |
| 700 | 1 | _ | |a Jung, Kyesam |0 P:(DE-Juel1)178611 |b 2 |u fzj |
| 700 | 1 | _ | |a Lotter, Leon D. |0 P:(DE-Juel1)192260 |b 3 |u fzj |
| 700 | 1 | _ | |a Schaare, H. Lina |b 4 |
| 700 | 1 | _ | |a Banaschewski, Tobias |b 5 |
| 700 | 1 | _ | |a Barker, Gareth J. |b 6 |
| 700 | 1 | _ | |a Bokde, Arun L. W. |b 7 |
| 700 | 1 | _ | |a Desrivières, Sylvane |b 8 |
| 700 | 1 | _ | |a Flor, Herta |b 9 |
| 700 | 1 | _ | |a Grigis, Antoine |b 10 |
| 700 | 1 | _ | |a Garavan, Hugh |b 11 |
| 700 | 1 | _ | |a Gowland, Penny |b 12 |
| 700 | 1 | _ | |a Heinz, Andreas |b 13 |
| 700 | 1 | _ | |a Brühl, Rüdiger |b 14 |
| 700 | 1 | _ | |a Martinot, Jean-Luc |b 15 |
| 700 | 1 | _ | |a Paillère Martinot, Marie-Laure |b 16 |
| 700 | 1 | _ | |a Artiges, Eric |b 17 |
| 700 | 1 | _ | |a Nees, Frauke |b 18 |
| 700 | 1 | _ | |a Papadopoulos Orfanos, Dimitri |b 19 |
| 700 | 1 | _ | |a Lemaitre, Herve |b 20 |
| 700 | 1 | _ | |a Poustka, Luise |b 21 |
| 700 | 1 | _ | |a Hohmann, Sarah |b 22 |
| 700 | 1 | _ | |a Holz, Nathalie |b 23 |
| 700 | 1 | _ | |a Baeuchl, Christian |b 24 |
| 700 | 1 | _ | |a Smolka, Michael N. |b 25 |
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| 700 | 1 | _ | |a Walter, Henrik |b 27 |
| 700 | 1 | _ | |a Whelan, Robert |b 28 |
| 700 | 1 | _ | |a Schumann, Gunter |b 29 |
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| 773 | _ | _ | |a 10.1101/2024.06.18.599509 |0 PERI:(DE-600)2766415-6 |t bioRxiv beta |y 2024 |
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