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Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit

Attention deficit is a critical symptom that impairs social functioning in adolescents with major depressive disorder (MDD). In this study, we aimed to explore the dynamic neural network activity associated with attention deficits and its relationship with clinical outcomes in adolescents with MDD....

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Autores principales: Wen, Yujiao, Li, Hong, Huang, Yangxi, Qiao, Dan, Ren, Tian, Lei, Lei, Li, Gaizhi, Yang, Chunxia, Xu, Yifan, Han, Min, Liu, Zhifen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619388/
https://www.ncbi.nlm.nih.gov/pubmed/37683097
http://dx.doi.org/10.1002/hbm.26474
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author Wen, Yujiao
Li, Hong
Huang, Yangxi
Qiao, Dan
Ren, Tian
Lei, Lei
Li, Gaizhi
Yang, Chunxia
Xu, Yifan
Han, Min
Liu, Zhifen
author_facet Wen, Yujiao
Li, Hong
Huang, Yangxi
Qiao, Dan
Ren, Tian
Lei, Lei
Li, Gaizhi
Yang, Chunxia
Xu, Yifan
Han, Min
Liu, Zhifen
author_sort Wen, Yujiao
collection PubMed
description Attention deficit is a critical symptom that impairs social functioning in adolescents with major depressive disorder (MDD). In this study, we aimed to explore the dynamic neural network activity associated with attention deficits and its relationship with clinical outcomes in adolescents with MDD. We included 188 adolescents with MDD and 94 healthy controls. By combining psychophysics, resting‐state electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) techniques, we aimed to identify dynamic network features through the investigation of EEG microstate characteristics and related temporal network features in adolescents with MDD. At baseline, microstate analysis revealed that the occurrence of Microstate C in the patient group was lower than that in healthy controls, whereas the duration and coverage of Microstate D increased in the MDD group. Mediation analysis revealed that the probability of transition from Microstate C to D mediated anhedonia and attention deficits in the MDD group. fMRI results showed that the temporal variability of the dorsal attention network (DAN) was significantly weaker in patients with MDD than in healthy controls. Importantly, the temporal variability of DAN mediated the relationship between anhedonia and attention deficits in the patient group. After acute‐stage treatment, the response prediction group (RP) showed improvement in Microstates C and D compared to the nonresponse prediction group (NRP). For resting‐state fMRI data, the temporal variability of DAN was significantly higher in the RP group than in the NRP group. Overall, this study enriches our understanding of the neural mechanisms underlying attention deficits in patients with MDD and provides novel clinical biomarkers.
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spelling pubmed-106193882023-11-02 Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit Wen, Yujiao Li, Hong Huang, Yangxi Qiao, Dan Ren, Tian Lei, Lei Li, Gaizhi Yang, Chunxia Xu, Yifan Han, Min Liu, Zhifen Hum Brain Mapp Research Articles Attention deficit is a critical symptom that impairs social functioning in adolescents with major depressive disorder (MDD). In this study, we aimed to explore the dynamic neural network activity associated with attention deficits and its relationship with clinical outcomes in adolescents with MDD. We included 188 adolescents with MDD and 94 healthy controls. By combining psychophysics, resting‐state electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) techniques, we aimed to identify dynamic network features through the investigation of EEG microstate characteristics and related temporal network features in adolescents with MDD. At baseline, microstate analysis revealed that the occurrence of Microstate C in the patient group was lower than that in healthy controls, whereas the duration and coverage of Microstate D increased in the MDD group. Mediation analysis revealed that the probability of transition from Microstate C to D mediated anhedonia and attention deficits in the MDD group. fMRI results showed that the temporal variability of the dorsal attention network (DAN) was significantly weaker in patients with MDD than in healthy controls. Importantly, the temporal variability of DAN mediated the relationship between anhedonia and attention deficits in the patient group. After acute‐stage treatment, the response prediction group (RP) showed improvement in Microstates C and D compared to the nonresponse prediction group (NRP). For resting‐state fMRI data, the temporal variability of DAN was significantly higher in the RP group than in the NRP group. Overall, this study enriches our understanding of the neural mechanisms underlying attention deficits in patients with MDD and provides novel clinical biomarkers. John Wiley & Sons, Inc. 2023-09-08 /pmc/articles/PMC10619388/ /pubmed/37683097 http://dx.doi.org/10.1002/hbm.26474 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Wen, Yujiao
Li, Hong
Huang, Yangxi
Qiao, Dan
Ren, Tian
Lei, Lei
Li, Gaizhi
Yang, Chunxia
Xu, Yifan
Han, Min
Liu, Zhifen
Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit
title Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit
title_full Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit
title_fullStr Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit
title_full_unstemmed Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit
title_short Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit
title_sort dynamic network characteristics of adolescents with major depressive disorder: attention network mediates the association between anhedonia and attentional deficit
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619388/
https://www.ncbi.nlm.nih.gov/pubmed/37683097
http://dx.doi.org/10.1002/hbm.26474
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