Cargando…
Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis
BACKGROUND: ADHD is one of the most common psychiatric disorders in children and adolescents. Altered functional connectivity has been associated with ADHD symptoms. This study aimed to investigate abnormal changes in the functional connectivity of resting-state brain networks (RSNs) among adolescen...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501693/ https://www.ncbi.nlm.nih.gov/pubmed/32948139 http://dx.doi.org/10.1186/s12868-020-00589-x |
_version_ | 1783584080276750336 |
---|---|
author | Zhang, Huayu Zhao, Yue Cao, Weifang Cui, Dong Jiao, Qing Lu, Weizhao Li, Hongyu Qiu, Jianfeng |
author_facet | Zhang, Huayu Zhao, Yue Cao, Weifang Cui, Dong Jiao, Qing Lu, Weizhao Li, Hongyu Qiu, Jianfeng |
author_sort | Zhang, Huayu |
collection | PubMed |
description | BACKGROUND: ADHD is one of the most common psychiatric disorders in children and adolescents. Altered functional connectivity has been associated with ADHD symptoms. This study aimed to investigate abnormal changes in the functional connectivity of resting-state brain networks (RSNs) among adolescent patients with different subtypes of ADHD. METHODS: The data were obtained from the ADHD-200 Global Competition, including fMRI data from 88 ADHD patients (56 patients of ADHD-Combined, ADHD-C and 32 patients of ADHD-Inattentive, ADHD-I) and 67 typically developing controls (TD-C). Group ICA was utilized to research aberrant brain functional connectivity within the different subtypes of ADHD. RESULTS: In comparison with the TD-C group, the ADHD-C group showed clusters of decreased functional connectivity in the left inferior occipital gyrus (p = 0.0041) and right superior occipital gyrus (p = 0.0011) of the dorsal attention network (DAN), supplementary motor area (p = 0.0036) of the executive control network (ECN), left supramarginal gyrus (p = 0.0081) of the salience network (SN), middle temporal gyrus (p = 0.0041), and superior medial frontal gyrus (p = 0.0055) of the default mode network (DMN), while the ADHD-I group showed decreased functional connectivity in the right superior parietal gyrus (p = 0.0017) of the DAN and left middle temporal gyrus (p = 0.0105) of the DMN. In comparison with the ADHD-I group, the ADHD-C group showed decreased functional connectivity in the superior temporal gyrus (p = 0.0062) of the AN, inferior temporal gyrus (p = 0.0016) of the DAN, and the dorsolateral superior frontal gyrus (p = 0.0082) of the DMN. All the clusters surviving at p < 0.05 (AlphaSim correction). CONCLUSION: The results suggested that decreased functional connectivity within the DMN and DAN was responsible, at least in part, for the symptom of inattention in ADHD-I patients. Similarly, we believed that the impaired functional connectivity within networks may contribute to the manifestations of ADHD-C patients, including inattention, hyperactivity/impulsivity, and unconscious movements. |
format | Online Article Text |
id | pubmed-7501693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75016932020-09-22 Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis Zhang, Huayu Zhao, Yue Cao, Weifang Cui, Dong Jiao, Qing Lu, Weizhao Li, Hongyu Qiu, Jianfeng BMC Neurosci Research Article BACKGROUND: ADHD is one of the most common psychiatric disorders in children and adolescents. Altered functional connectivity has been associated with ADHD symptoms. This study aimed to investigate abnormal changes in the functional connectivity of resting-state brain networks (RSNs) among adolescent patients with different subtypes of ADHD. METHODS: The data were obtained from the ADHD-200 Global Competition, including fMRI data from 88 ADHD patients (56 patients of ADHD-Combined, ADHD-C and 32 patients of ADHD-Inattentive, ADHD-I) and 67 typically developing controls (TD-C). Group ICA was utilized to research aberrant brain functional connectivity within the different subtypes of ADHD. RESULTS: In comparison with the TD-C group, the ADHD-C group showed clusters of decreased functional connectivity in the left inferior occipital gyrus (p = 0.0041) and right superior occipital gyrus (p = 0.0011) of the dorsal attention network (DAN), supplementary motor area (p = 0.0036) of the executive control network (ECN), left supramarginal gyrus (p = 0.0081) of the salience network (SN), middle temporal gyrus (p = 0.0041), and superior medial frontal gyrus (p = 0.0055) of the default mode network (DMN), while the ADHD-I group showed decreased functional connectivity in the right superior parietal gyrus (p = 0.0017) of the DAN and left middle temporal gyrus (p = 0.0105) of the DMN. In comparison with the ADHD-I group, the ADHD-C group showed decreased functional connectivity in the superior temporal gyrus (p = 0.0062) of the AN, inferior temporal gyrus (p = 0.0016) of the DAN, and the dorsolateral superior frontal gyrus (p = 0.0082) of the DMN. All the clusters surviving at p < 0.05 (AlphaSim correction). CONCLUSION: The results suggested that decreased functional connectivity within the DMN and DAN was responsible, at least in part, for the symptom of inattention in ADHD-I patients. Similarly, we believed that the impaired functional connectivity within networks may contribute to the manifestations of ADHD-C patients, including inattention, hyperactivity/impulsivity, and unconscious movements. BioMed Central 2020-09-18 /pmc/articles/PMC7501693/ /pubmed/32948139 http://dx.doi.org/10.1186/s12868-020-00589-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zhang, Huayu Zhao, Yue Cao, Weifang Cui, Dong Jiao, Qing Lu, Weizhao Li, Hongyu Qiu, Jianfeng Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis |
title | Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis |
title_full | Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis |
title_fullStr | Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis |
title_full_unstemmed | Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis |
title_short | Aberrant functional connectivity in resting state networks of ADHD patients revealed by independent component analysis |
title_sort | aberrant functional connectivity in resting state networks of adhd patients revealed by independent component analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501693/ https://www.ncbi.nlm.nih.gov/pubmed/32948139 http://dx.doi.org/10.1186/s12868-020-00589-x |
work_keys_str_mv | AT zhanghuayu aberrantfunctionalconnectivityinrestingstatenetworksofadhdpatientsrevealedbyindependentcomponentanalysis AT zhaoyue aberrantfunctionalconnectivityinrestingstatenetworksofadhdpatientsrevealedbyindependentcomponentanalysis AT caoweifang aberrantfunctionalconnectivityinrestingstatenetworksofadhdpatientsrevealedbyindependentcomponentanalysis AT cuidong aberrantfunctionalconnectivityinrestingstatenetworksofadhdpatientsrevealedbyindependentcomponentanalysis AT jiaoqing aberrantfunctionalconnectivityinrestingstatenetworksofadhdpatientsrevealedbyindependentcomponentanalysis AT luweizhao aberrantfunctionalconnectivityinrestingstatenetworksofadhdpatientsrevealedbyindependentcomponentanalysis AT lihongyu aberrantfunctionalconnectivityinrestingstatenetworksofadhdpatientsrevealedbyindependentcomponentanalysis AT qiujianfeng aberrantfunctionalconnectivityinrestingstatenetworksofadhdpatientsrevealedbyindependentcomponentanalysis |