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Multivariate Pattern Analysis (MVPA) Reveals Distinct Neural Profiles of Frontoparietal Networks in Boys with Attention-Deficit/Hyperactivity Disorder and Boys with Persistent Depressive Disorder

View ORCID ProfileVeronika Vilgis, View ORCID ProfileDebbie Yee, View ORCID ProfileTim J. Silk, View ORCID ProfileAlasdair Vance
doi: https://doi.org/10.1101/2021.03.09.434662
Veronika Vilgis
1Department of Paediatrics, University of Melbourne, Australia
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Debbie Yee
2Washington University in St. Louis, United States
3Brown University, United States
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  • For correspondence: debbie_yee@brown.edu
Tim J. Silk
1Department of Paediatrics, University of Melbourne, Australia
4Murdoch Children’s Research Institute, Australia
5School of Psychology, Deakin University, Australia
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Alasdair Vance
1Department of Paediatrics, University of Melbourne, Australia
5School of Psychology, Deakin University, Australia
6Royal Children’s Hospital, Parkville, Australia
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Abstract

Working memory deficits are common in attention-deficit/hyperactivity disorder (ADHD) and depression, two common neurodevelopmental disorders with overlapping cognitive profiles but distinct clinical presentation. Multivariate techniques have previously been utilized to understand working memory processes in functional brain networks in healthy adults, but have not yet been applied to investigate how working memory processes within the same networks differ within typical and atypical developing populations. We used multivariate pattern analysis (MVPA) to identify whether brain networks discriminated between spatial vs. verbal working memory processes in ADHD and Persistent Depressive Disorder (PDD). 36 male clinical participants and 19 typically developing (TD) boys participated in a fMRI scan while completing a verbal and a spatial working memory task. Within a priori functional brain networks (frontoparietal, default mode, salience) the TD group demonstrated differential response patterns to verbal and spatial working memory. Both clinical groups show less differentiation than TD, with neural profiles suggesting ADHD is associated with weaker differentiation in both frontoparietal and salience networks and PDD is associated with weaker differentiation in left frontoparietal and default mode networks. Whereas the TD group’s neural profile indicates network response patterns that are sensitive to task demands, the neural profiles of the ADHD and PDD group suggest less specificity in neural representations of spatial and verbal working memory. We highlight within-group classification as innovative tool for understanding the neural mechanisms of how cognitive processes may deviate in clinical disorders, an important intermediary step towards improving translational psychiatry to inform clinical diagnoses and treatment.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://osf.io/a5349/

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Multivariate Pattern Analysis (MVPA) Reveals Distinct Neural Profiles of Frontoparietal Networks in Boys with Attention-Deficit/Hyperactivity Disorder and Boys with Persistent Depressive Disorder
Veronika Vilgis, Debbie Yee, Tim J. Silk, Alasdair Vance
bioRxiv 2021.03.09.434662; doi: https://doi.org/10.1101/2021.03.09.434662
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Multivariate Pattern Analysis (MVPA) Reveals Distinct Neural Profiles of Frontoparietal Networks in Boys with Attention-Deficit/Hyperactivity Disorder and Boys with Persistent Depressive Disorder
Veronika Vilgis, Debbie Yee, Tim J. Silk, Alasdair Vance
bioRxiv 2021.03.09.434662; doi: https://doi.org/10.1101/2021.03.09.434662

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