Cargando…

Abnormal dynamic resting-state brain network organization in auditory verbal hallucination

Auditory-verbal hallucinations (AVH) are a key symptom of schizophrenia. Recent neuroimaging studies examining dynamic functional connectivity suggest that disrupted dynamic interactions between brain networks characterize complex symptoms in mental illness including schizophrenia. Studying dynamic...

Descripción completa

Detalles Bibliográficos
Autores principales: Geng, Haiyang, Xu, Pengfei, Sommer, Iris E., Luo, Yue-Jia, Aleman, André, Ćurčić-Blake, Branislava
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544708/
https://www.ncbi.nlm.nih.gov/pubmed/32813156
http://dx.doi.org/10.1007/s00429-020-02119-1
_version_ 1783591893642248192
author Geng, Haiyang
Xu, Pengfei
Sommer, Iris E.
Luo, Yue-Jia
Aleman, André
Ćurčić-Blake, Branislava
author_facet Geng, Haiyang
Xu, Pengfei
Sommer, Iris E.
Luo, Yue-Jia
Aleman, André
Ćurčić-Blake, Branislava
author_sort Geng, Haiyang
collection PubMed
description Auditory-verbal hallucinations (AVH) are a key symptom of schizophrenia. Recent neuroimaging studies examining dynamic functional connectivity suggest that disrupted dynamic interactions between brain networks characterize complex symptoms in mental illness including schizophrenia. Studying dynamic connectivity may be especially relevant for hallucinations, given their fluctuating phenomenology. Indeed, it remains unknown whether AVH in schizophrenia are directly related to altered dynamic connectivity within and between key brain networks involved in auditory perception and language, emotion processing, and top-down control. In this study, we used dynamic connectivity approaches including sliding window and k-means to examine dynamic interactions among brain networks in schizophrenia patients with and without a recent history of AVH. Dynamic brain network analysis revealed that patients with AVH spent less time in a ‘network-antagonistic’ brain state where the default mode network (DMN) and the language network were anti-correlated, and had lower probability to switch into this brain state. Moreover, patients with AVH showed a lower connectivity within the language network and the auditory network, and lower connectivity was observed between the executive control and the language networks in certain dynamic states. Our study provides the first neuroimaging evidence of altered dynamic brain networks for understanding neural mechanisms of AVH in schizophrenia. The findings may inform and further strengthen cognitive models of AVH that aid the development of new coping strategies for patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-020-02119-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-7544708
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-75447082020-10-19 Abnormal dynamic resting-state brain network organization in auditory verbal hallucination Geng, Haiyang Xu, Pengfei Sommer, Iris E. Luo, Yue-Jia Aleman, André Ćurčić-Blake, Branislava Brain Struct Funct Original Article Auditory-verbal hallucinations (AVH) are a key symptom of schizophrenia. Recent neuroimaging studies examining dynamic functional connectivity suggest that disrupted dynamic interactions between brain networks characterize complex symptoms in mental illness including schizophrenia. Studying dynamic connectivity may be especially relevant for hallucinations, given their fluctuating phenomenology. Indeed, it remains unknown whether AVH in schizophrenia are directly related to altered dynamic connectivity within and between key brain networks involved in auditory perception and language, emotion processing, and top-down control. In this study, we used dynamic connectivity approaches including sliding window and k-means to examine dynamic interactions among brain networks in schizophrenia patients with and without a recent history of AVH. Dynamic brain network analysis revealed that patients with AVH spent less time in a ‘network-antagonistic’ brain state where the default mode network (DMN) and the language network were anti-correlated, and had lower probability to switch into this brain state. Moreover, patients with AVH showed a lower connectivity within the language network and the auditory network, and lower connectivity was observed between the executive control and the language networks in certain dynamic states. Our study provides the first neuroimaging evidence of altered dynamic brain networks for understanding neural mechanisms of AVH in schizophrenia. The findings may inform and further strengthen cognitive models of AVH that aid the development of new coping strategies for patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-020-02119-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-08-19 2020 /pmc/articles/PMC7544708/ /pubmed/32813156 http://dx.doi.org/10.1007/s00429-020-02119-1 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/.
spellingShingle Original Article
Geng, Haiyang
Xu, Pengfei
Sommer, Iris E.
Luo, Yue-Jia
Aleman, André
Ćurčić-Blake, Branislava
Abnormal dynamic resting-state brain network organization in auditory verbal hallucination
title Abnormal dynamic resting-state brain network organization in auditory verbal hallucination
title_full Abnormal dynamic resting-state brain network organization in auditory verbal hallucination
title_fullStr Abnormal dynamic resting-state brain network organization in auditory verbal hallucination
title_full_unstemmed Abnormal dynamic resting-state brain network organization in auditory verbal hallucination
title_short Abnormal dynamic resting-state brain network organization in auditory verbal hallucination
title_sort abnormal dynamic resting-state brain network organization in auditory verbal hallucination
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544708/
https://www.ncbi.nlm.nih.gov/pubmed/32813156
http://dx.doi.org/10.1007/s00429-020-02119-1
work_keys_str_mv AT genghaiyang abnormaldynamicrestingstatebrainnetworkorganizationinauditoryverbalhallucination
AT xupengfei abnormaldynamicrestingstatebrainnetworkorganizationinauditoryverbalhallucination
AT sommeririse abnormaldynamicrestingstatebrainnetworkorganizationinauditoryverbalhallucination
AT luoyuejia abnormaldynamicrestingstatebrainnetworkorganizationinauditoryverbalhallucination
AT alemanandre abnormaldynamicrestingstatebrainnetworkorganizationinauditoryverbalhallucination
AT curcicblakebranislava abnormaldynamicrestingstatebrainnetworkorganizationinauditoryverbalhallucination