Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Haiyan Wang - , CAS - Institute of Automation, University of Chinese Academy of Sciences (Autor:in)
  • Lingzhong Fan - , CAS - Institute of Automation, University of Chinese Academy of Sciences (Autor:in)
  • Ming Song - , CAS - Institute of Automation (Autor:in)
  • Bing Liu - , CAS - Institute of Automation, University of Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology (Autor:in)
  • Dongya Wu - , CAS - Institute of Automation, University of Chinese Academy of Sciences (Autor:in)
  • Rongtao Jiang - , CAS - Institute of Automation, University of Chinese Academy of Sciences (Autor:in)
  • Jin Li - , CAS - Institute of Automation (Autor:in)
  • Ang Li - , CAS - Institute of Automation, University of Chinese Academy of Sciences (Autor:in)
  • Tobias Banaschewski - , Universität Heidelberg (Autor:in)
  • Arun L.W. Bokde - , Trinity College Dublin (Autor:in)
  • Erin Burke Quinlan - , King's College London (KCL) (Autor:in)
  • Sylvane Desrivières - , King's College London (KCL) (Autor:in)
  • Herta Flor - , Universität Heidelberg, Universität Mannheim (Autor:in)
  • Antoine Grigis - , Commissariat à l’énergie atomique et aux énergies alternatives (CEA) (Autor:in)
  • Hugh Garavan - , University of Vermont (Autor:in)
  • Bader Chaarani - , University of Vermont (Autor:in)
  • Penny Gowland - , University of Nottingham (Autor:in)
  • Andreas Heinz - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Bernd Ittermann - , Physikalisch-Technische Bundesanstalt (Autor:in)
  • Jean Luc Martinot - , Université Paris-Saclay (Autor:in)
  • Marie Laure Paillère Martinot - , INSERM - Institut national de la santé et de la recherche médicale (Autor:in)
  • Eric Artiges - , INSERM - Institut national de la santé et de la recherche médicale (Autor:in)
  • Frauke Nees - , Universität Heidelberg (Autor:in)
  • Dimitri Papadopoulos Orfanos - , Commissariat à l’énergie atomique et aux énergies alternatives (CEA) (Autor:in)
  • Luise Poustka - , Georg-August-Universität Göttingen (Autor:in)
  • Sabina Millenet - , Universität Heidelberg (Autor:in)
  • Juliane H. Fröhner - , Klinik und Poliklinik für Psychiatrie und Psychotherapie, Neuroimaging Center (Autor:in)
  • Michael N. Smolka - , Neuroimaging Center, Klinik und Poliklinik für Psychiatrie und Psychotherapie (Autor:in)
  • Henrik Walter - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Robert Whelan - , Trinity College Dublin (Autor:in)
  • Gunter Schumann - , Humboldt-Universität zu Berlin, Leibniz-Institut für Neurobiologie, Fudan University (Autor:in)
  • Tianzi Jiang - , CAS - Institute of Automation, University of Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology, University of Electronic Science and Technology of China, University of Queensland (Autor:in)

Abstract

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.

Details

OriginalspracheEnglisch
Seiten (von - bis)2686-2700
Seitenumfang15
FachzeitschriftCerebral cortex
Jahrgang31
Ausgabenummer5
PublikationsstatusVeröffentlicht - 1 Mai 2021
Peer-Review-StatusJa

Externe IDs

PubMed 33386409
ORCID /0000-0001-5398-5569/work/161890708
ORCID /0000-0002-8493-6396/work/161891635

Schlagworte

Schlagwörter

  • adolescence, functional connectivity, inhibitory control, longitudinal prediction, stop signal task