Literature DB >> 33386409

Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence.

Haiyan Wang1,2, Lingzhong Fan1,2, Ming Song1, Bing Liu1,2,3, Dongya Wu1,2, Rongtao Jiang1,2, Jin Li1, Ang Li1,2, Tobias Banaschewski4, Arun L W Bokde5, Erin Burke Quinlan6, Sylvane Desrivières6, Herta Flor7,8, Antoine Grigis9, Hugh Garavan10, Bader Chaarani10, Penny Gowland11, Andreas Heinz12, Bernd Ittermann13, Jean-Luc Martinot14, Marie-Laure Paillère Martinot15, Eric Artiges16, Frauke Nees4,7, Dimitri Papadopoulos Orfanos9, Luise Poustka17, Sabina Millenet4, Juliane H Fröhner18, Michael N Smolka18, Henrik Walter12, Robert Whelan19, Gunter Schumann6,20,21,22, Tianzi Jiang1,2,3,23,24.   

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.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  adolescence; functional connectivity; inhibitory control; longitudinal prediction; stop signal task

Mesh:

Year:  2021        PMID: 33386409      PMCID: PMC8599716          DOI: 10.1093/cercor/bhaa383

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   4.861


  70 in total

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2.  Maturation of cognitive processes from late childhood to adulthood.

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3.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.

Authors:  Jonathan D Power; Kelly A Barnes; Abraham Z Snyder; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuroimage       Date:  2011-10-14       Impact factor: 6.556

4.  Frontostriatal activity and connectivity increase during proactive inhibition across adolescence and early adulthood.

Authors:  Matthijs Vink; Bram B Zandbelt; Thomas Gladwin; Manon Hillegers; Janna Marie Hoogendam; Wery P M van den Wildenberg; Stefan Du Plessis; René S Kahn
Journal:  Hum Brain Mapp       Date:  2014-02-15       Impact factor: 5.038

5.  Precision Functional Mapping of Individual Human Brains.

Authors:  Evan M Gordon; Timothy O Laumann; Adrian W Gilmore; Dillan J Newbold; Deanna J Greene; Jeffrey J Berg; Mario Ortega; Catherine Hoyt-Drazen; Caterina Gratton; Haoxin Sun; Jacqueline M Hampton; Rebecca S Coalson; Annie L Nguyen; Kathleen B McDermott; Joshua S Shimony; Abraham Z Snyder; Bradley L Schlaggar; Steven E Petersen; Steven M Nelson; Nico U F Dosenbach
Journal:  Neuron       Date:  2017-07-27       Impact factor: 17.173

6.  Interpreting change on the WAIS-III/WMS-III in clinical samples.

Authors:  G L Iverson
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7.  Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II.

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Review 8.  Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis.

Authors:  Ruibin Zhang; Xiujuan Geng; Tatia M C Lee
Journal:  Brain Struct Funct       Date:  2017-05-27       Impact factor: 3.270

9.  A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity.

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Journal:  Elife       Date:  2018-12-10       Impact factor: 8.140

10.  Sex differences in COMT polymorphism effects on prefrontal inhibitory control in adolescence.

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Journal:  Neuropsychopharmacology       Date:  2014-05-13       Impact factor: 7.853

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