Cargando…
Brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar I disorder: a cross-sectional graph-based magnetic resonance imaging study
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is highly prevalent among youth with or at familial risk for bipolar-I disorder (BD-I), and ADHD symptoms commonly precede and may increase the risk for BD-I; however, associated neuropathophysiological mechanisms are not known. In this cro...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CMA Impact Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473038/ https://www.ncbi.nlm.nih.gov/pubmed/37643802 http://dx.doi.org/10.1503/jpn.220209 |
_version_ | 1785100192227262464 |
---|---|
author | Zhu, Ziyu Lei, Du Qin, Kun Li, Xiuli Li, Wenbin Tallman, Maxwell J. Patino, L. Rodrigo Fleck, David E. Aghera, Veronica Gong, Qiyong Sweeney, John A. McNamara, Robert K. DelBello, Melissa P. |
author_facet | Zhu, Ziyu Lei, Du Qin, Kun Li, Xiuli Li, Wenbin Tallman, Maxwell J. Patino, L. Rodrigo Fleck, David E. Aghera, Veronica Gong, Qiyong Sweeney, John A. McNamara, Robert K. DelBello, Melissa P. |
author_sort | Zhu, Ziyu |
collection | PubMed |
description | BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is highly prevalent among youth with or at familial risk for bipolar-I disorder (BD-I), and ADHD symptoms commonly precede and may increase the risk for BD-I; however, associated neuropathophysiological mechanisms are not known. In this cross-sectional study, we sought to investigate brain structural network topology among youth with ADHD, with and without familial risk of BD-I. METHODS: We recruited 3 groups of psychostimulant-free youth (aged 10–18 yr), namely youth with ADHD and at least 1 biological parent or sibling with BD-I (high-risk group), youth with ADHD who did not have a first- or second-degree relative with a mood or psychotic disorder (low-risk group) and healthy controls. We used graph-based network analysis of structural magnetic resonance imaging data to investigate topological properties of brain networks. We also evaluated relationships between topological metrics and mood and ADHD symptom ratings. RESULTS: A total of 149 youth were included in the analysis (49 healthy controls, 50 low-risk youth, 50 high-risk youth). Low-risk and high-risk ADHD groups exhibited similar differences from healthy controls, mainly in the default mode network and central executive network. We found topological alterations in the salience network of the high-risk group, relative to both low-risk and control groups. We found significant abnormalities in global network properties in the high-risk group only, compared with healthy controls. Among both low-risk and high-risk ADHD groups, nodal metrics in the right triangular inferior frontal gyrus correlated positively with ADHD total and hyperactivity/impulsivity subscale scores. LIMITATIONS: The cross-sectional design of this study could not determine the relevance of these findings to BD-I risk progression. CONCLUSION: Youth with ADHD, with and without familial risk for BD-I, exhibit common regional abnormalities in the brain connectome compared with healthy youth, whereas alterations in the salience network distinguish these groups and may represent a prodromal feature relevant to BD-I risk. |
format | Online Article Text |
id | pubmed-10473038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | CMA Impact Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104730382023-09-02 Brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar I disorder: a cross-sectional graph-based magnetic resonance imaging study Zhu, Ziyu Lei, Du Qin, Kun Li, Xiuli Li, Wenbin Tallman, Maxwell J. Patino, L. Rodrigo Fleck, David E. Aghera, Veronica Gong, Qiyong Sweeney, John A. McNamara, Robert K. DelBello, Melissa P. J Psychiatry Neurosci Research Paper BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is highly prevalent among youth with or at familial risk for bipolar-I disorder (BD-I), and ADHD symptoms commonly precede and may increase the risk for BD-I; however, associated neuropathophysiological mechanisms are not known. In this cross-sectional study, we sought to investigate brain structural network topology among youth with ADHD, with and without familial risk of BD-I. METHODS: We recruited 3 groups of psychostimulant-free youth (aged 10–18 yr), namely youth with ADHD and at least 1 biological parent or sibling with BD-I (high-risk group), youth with ADHD who did not have a first- or second-degree relative with a mood or psychotic disorder (low-risk group) and healthy controls. We used graph-based network analysis of structural magnetic resonance imaging data to investigate topological properties of brain networks. We also evaluated relationships between topological metrics and mood and ADHD symptom ratings. RESULTS: A total of 149 youth were included in the analysis (49 healthy controls, 50 low-risk youth, 50 high-risk youth). Low-risk and high-risk ADHD groups exhibited similar differences from healthy controls, mainly in the default mode network and central executive network. We found topological alterations in the salience network of the high-risk group, relative to both low-risk and control groups. We found significant abnormalities in global network properties in the high-risk group only, compared with healthy controls. Among both low-risk and high-risk ADHD groups, nodal metrics in the right triangular inferior frontal gyrus correlated positively with ADHD total and hyperactivity/impulsivity subscale scores. LIMITATIONS: The cross-sectional design of this study could not determine the relevance of these findings to BD-I risk progression. CONCLUSION: Youth with ADHD, with and without familial risk for BD-I, exhibit common regional abnormalities in the brain connectome compared with healthy youth, whereas alterations in the salience network distinguish these groups and may represent a prodromal feature relevant to BD-I risk. CMA Impact Inc. 2023-08-29 /pmc/articles/PMC10473038/ /pubmed/37643802 http://dx.doi.org/10.1503/jpn.220209 Text en © 2023 CMA Impact Inc. or its licensors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Research Paper Zhu, Ziyu Lei, Du Qin, Kun Li, Xiuli Li, Wenbin Tallman, Maxwell J. Patino, L. Rodrigo Fleck, David E. Aghera, Veronica Gong, Qiyong Sweeney, John A. McNamara, Robert K. DelBello, Melissa P. Brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar I disorder: a cross-sectional graph-based magnetic resonance imaging study |
title | Brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar I disorder: a cross-sectional graph-based magnetic resonance imaging study |
title_full | Brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar I disorder: a cross-sectional graph-based magnetic resonance imaging study |
title_fullStr | Brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar I disorder: a cross-sectional graph-based magnetic resonance imaging study |
title_full_unstemmed | Brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar I disorder: a cross-sectional graph-based magnetic resonance imaging study |
title_short | Brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar I disorder: a cross-sectional graph-based magnetic resonance imaging study |
title_sort | brain network structural connectome abnormalities among youth with attention-deficit/hyperactivity disorder at varying risk for bipolar i disorder: a cross-sectional graph-based magnetic resonance imaging study |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473038/ https://www.ncbi.nlm.nih.gov/pubmed/37643802 http://dx.doi.org/10.1503/jpn.220209 |
work_keys_str_mv | AT zhuziyu brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT leidu brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT qinkun brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT lixiuli brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT liwenbin brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT tallmanmaxwellj brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT patinolrodrigo brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT fleckdavide brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT agheraveronica brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT gongqiyong brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT sweeneyjohna brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT mcnamararobertk brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy AT delbellomelissap brainnetworkstructuralconnectomeabnormalitiesamongyouthwithattentiondeficithyperactivitydisorderatvaryingriskforbipolaridisorderacrosssectionalgraphbasedmagneticresonanceimagingstudy |