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Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD

Attention deficit hyperactivity disorder (ADHD) has been characterized by impairments among distributed functional brain networks, e.g., the frontoparietal network (FPN), default mode network (DMN), and reward and motivation-related circuits (RMN). In the current study, we evaluated the complexity a...

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Autores principales: Zhang, Ru, Murray, Stuart B., Duval, Christina J., Wang, Danny J.J., Jann, Kay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473793/
https://www.ncbi.nlm.nih.gov/pubmed/37662367
http://dx.doi.org/10.1101/2023.08.17.23294136
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author Zhang, Ru
Murray, Stuart B.
Duval, Christina J.
Wang, Danny J.J.
Jann, Kay
author_facet Zhang, Ru
Murray, Stuart B.
Duval, Christina J.
Wang, Danny J.J.
Jann, Kay
author_sort Zhang, Ru
collection PubMed
description Attention deficit hyperactivity disorder (ADHD) has been characterized by impairments among distributed functional brain networks, e.g., the frontoparietal network (FPN), default mode network (DMN), and reward and motivation-related circuits (RMN). In the current study, we evaluated the complexity and functional connectivity (FC) of resting state fMRI (rsfMRI) in pre-adolescents with ADHD for pathology-relevant networks. We leveraged data from the Adolescent Brain and Cognitive Development (ABCD) Study. The final study sample included 63 children with ADHD and 92 healthy control children matched on age, sex, and pubertal development status. For selected regions in relevant networks, ANCOVA compared multiscale entropy (MSE) and FC between the groups. Finally, differences in the association between MSE and FC were evaluated. We found significantly reduced MSE along with increased FC within the FPN of pre-adolescents with ADHD compared to matched healthy controls. Significant partial correlations between MSE and FC emerged in fewer regions in the participants with ADHD than in the controls. The observation of reduced entropy is consistent with existing literature using rsfMRI and other neuroimaging modalities. The current findings of complexity and FC in ADHD support hypotheses of altered function of inhibitory control networks in ADHD.
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spelling pubmed-104737932023-09-02 Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD Zhang, Ru Murray, Stuart B. Duval, Christina J. Wang, Danny J.J. Jann, Kay medRxiv Article Attention deficit hyperactivity disorder (ADHD) has been characterized by impairments among distributed functional brain networks, e.g., the frontoparietal network (FPN), default mode network (DMN), and reward and motivation-related circuits (RMN). In the current study, we evaluated the complexity and functional connectivity (FC) of resting state fMRI (rsfMRI) in pre-adolescents with ADHD for pathology-relevant networks. We leveraged data from the Adolescent Brain and Cognitive Development (ABCD) Study. The final study sample included 63 children with ADHD and 92 healthy control children matched on age, sex, and pubertal development status. For selected regions in relevant networks, ANCOVA compared multiscale entropy (MSE) and FC between the groups. Finally, differences in the association between MSE and FC were evaluated. We found significantly reduced MSE along with increased FC within the FPN of pre-adolescents with ADHD compared to matched healthy controls. Significant partial correlations between MSE and FC emerged in fewer regions in the participants with ADHD than in the controls. The observation of reduced entropy is consistent with existing literature using rsfMRI and other neuroimaging modalities. The current findings of complexity and FC in ADHD support hypotheses of altered function of inhibitory control networks in ADHD. Cold Spring Harbor Laboratory 2023-08-21 /pmc/articles/PMC10473793/ /pubmed/37662367 http://dx.doi.org/10.1101/2023.08.17.23294136 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Zhang, Ru
Murray, Stuart B.
Duval, Christina J.
Wang, Danny J.J.
Jann, Kay
Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD
title Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD
title_full Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD
title_fullStr Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD
title_full_unstemmed Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD
title_short Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD
title_sort functional connectivity and complexity analyses of resting-state fmri in pre-adolescents with adhd
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473793/
https://www.ncbi.nlm.nih.gov/pubmed/37662367
http://dx.doi.org/10.1101/2023.08.17.23294136
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