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Similarity and stability of face network across populations and throughout adolescence and adulthood

Liao, Zhijie; Banaschewski, Tobias; Bokde, Arun L W; Desrivières, Sylvane; Flor, Herta; Grigis, Antoine; Garavan, Hugh; Gowland, Penny; Heinz, Andreas; Ittermann, Bernd; Martinot, Jean Luc; Martinot, Marie-Laure Paillère; Artiges, Eric; Nees, Frauke; Orfanos, Dimitri Papadopoulos; Poustka, Luise; Hohmann, Sarah; Millenet, Sabina; Fröhner, Juliane H; Smolka, Michael N; Walter, Henrik; Whelan, Robert; Schumann, Gunter; Paus, Tomáš

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Authors

Zhijie Liao

Tobias Banaschewski

Arun L W Bokde

Sylvane Desrivières

Herta Flor

Antoine Grigis

Hugh Garavan

Andreas Heinz

Bernd Ittermann

Jean Luc Martinot

Marie-Laure Paillère Martinot

Eric Artiges

Frauke Nees

Dimitri Papadopoulos Orfanos

Luise Poustka

Sarah Hohmann

Sabina Millenet

Juliane H Fröhner

Michael N Smolka

Henrik Walter

Robert Whelan

Gunter Schumann

Tomáš Paus



Abstract

The ability to extract cues from faces is fundamental for social animals, including humans. An individual's profile of functional connectivity across a face network can be shaped by common organizing principles, stable individual traits, and time-varying mental states. In the present study, we used data obtained with functional magnetic resonance imaging in two cohorts, IMAGEN (N = 534) and ALSPAC (N = 465), to investigate - both at group and individual levels - the consistency of the regional profile of functional connectivity across populations (IMAGEN, ALSPAC) and time (Visits 1 to 3 in IMAGEN; age 14 to 22 years). At the group level, we found a robust canonical profile of connectivity both across populations and time. At the individual level, connectivity profiles deviated from the canonical profile, and the magnitude of this deviation related to the presence of psychopathology. These findings suggest that the brain processes faces in a highly stereotypical manner, and that the deviations from this normative pattern may be related to the risk of mental illness.

Journal Article Type Article
Acceptance Date Sep 16, 2021
Online Publication Date Sep 21, 2021
Publication Date Dec 1, 2021
Deposit Date Sep 17, 2021
Publicly Available Date Sep 21, 2021
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1095-9572
Peer Reviewed Peer Reviewed
Volume 244
Article Number 118587
DOI https://doi.org/10.1016/j.neuroimage.2021.118587
Public URL https://nottingham-repository.worktribe.com/output/6244342
Publisher URL https://www.sciencedirect.com/science/article/pii/S1053811921008600

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