Functional connectivity predicts individual development of inhibitory control during adolescence
Derailment of inhibitory control (IC) underlies numerous psychiatric and behavioral disorders, many of which emerge during adolescence. Identifying reliable predictive biomarkers that place the adolescents at elevated risk for future IC deficits can help guide early interventions, yet the scarcity o...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
May 2021
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| In: |
Cerebral cortex
Year: 2021, Volume: 31, Issue: 5, Pages: 2686-2700 |
| ISSN: | 1460-2199 |
| DOI: | 10.1093/cercor/bhaa383 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/cercor/bhaa383
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| Author Notes: | Haiyan Wang, Lingzhong Fan, Ming Song, Bing Liu, Dongya Wu, Rongtao Jiang, Jin Li, Ang Li, Tobias Banaschewski, Arun L. W Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Bader Chaarani, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sabina Millenet, Juliane H. Fröhner, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann and Tianzi Jiang |
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| 245 | 1 | 0 | |a Functional connectivity predicts individual development of inhibitory control during adolescence |c Haiyan Wang, Lingzhong Fan, Ming Song, Bing Liu, Dongya Wu, Rongtao Jiang, Jin Li, Ang Li, Tobias Banaschewski, Arun L. W Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Bader Chaarani, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sabina Millenet, Juliane H. Fröhner, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann and Tianzi Jiang |
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| 520 | |a Derailment of inhibitory control (IC) underlies numerous psychiatric and behavioral disorders, many of which emerge during adolescence. Identifying reliable predictive biomarkers that place the adolescents at elevated risk for future IC deficits can help guide early interventions, yet the scarcity of longitudinal research has hindered the progress. Here, using a large-scale longitudinal dataset in which the same subjects performed a stop signal task during functional magnetic resonance imaging at ages 14 and 19, we tracked their IC development individually and tried to find the brain features predicting their development by constructing prediction models using 14-year-olds’ functional connections within a network or between a pair of networks. The participants had distinct between-subject trajectories in their IC development. Of the candidate connections used for prediction, ventral attention-subcortical network interconnections could predict the individual development of IC and formed a prediction model that generalized to previously unseen individuals. Furthermore, we found that connectivity between these two networks was related to substance abuse problems, an IC-deficit related problematic behavior, within 5 years. Our study reveals individual differences in IC development from mid- to late-adolescence and highlights the importance of ventral attention-subcortical network interconnections in predicting future IC development and substance abuse in adolescents. | ||
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