PMID- 32813156
OWN - NLM
STAT- MEDLINE
DCOM- 20210811
LR  - 20210811
IS  - 1863-2661 (Electronic)
IS  - 1863-2653 (Print)
IS  - 1863-2653 (Linking)
VI  - 225
IP  - 8
DP  - 2020 Nov
TI  - Abnormal dynamic resting-state brain network organization in auditory verbal 
      hallucination.
PG  - 2315-2330
LID - 10.1007/s00429-020-02119-1 [doi]
AB  - 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.
FAU - Geng, Haiyang
AU  - Geng H
AUID- ORCID: 0000-0001-6115-807X
AD  - Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, 
      China. h.geng@umcg.nl.
AD  - Department of Biomedical Sciences of Cells and Systems, University of Groningen, 
      University Medical Center Groningen, Groningen, The Netherlands. h.geng@umcg.nl.
FAU - Xu, Pengfei
AU  - Xu P
AD  - Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, 
      Beijing Normal University, Beijing, China. xupf@szu.edu.cn.
AD  - Center for Emotion and Brain, Shenzhen Institute of Neuroscience, Shenzhen, 
      China. xupf@szu.edu.cn.
AD  - Great Bay Neuroscience and Technology Research Institute (Hong Kong), Kwun Tong, 
      Hong Kong, China. xupf@szu.edu.cn.
FAU - Sommer, Iris E
AU  - Sommer IE
AD  - Department of Biomedical Sciences of Cells and Systems, University of Groningen, 
      University Medical Center Groningen, Groningen, The Netherlands.
FAU - Luo, Yue-Jia
AU  - Luo YJ
AD  - Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, 
      China.
AD  - Center for Emotion and Brain, Shenzhen Institute of Neuroscience, Shenzhen, 
      China.
AD  - Sichuan Center of Applied Psychology, Chengdu Medical College, Chengdu, China.
FAU - Aleman, Andre
AU  - Aleman A
AD  - Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, 
      China.
AD  - Department of Biomedical Sciences of Cells and Systems, University of Groningen, 
      University Medical Center Groningen, Groningen, The Netherlands.
FAU - Curcic-Blake, Branislava
AU  - Curcic-Blake B
AD  - Department of Biomedical Sciences of Cells and Systems, University of Groningen, 
      University Medical Center Groningen, Groningen, The Netherlands.
LA  - eng
GR  - 16 - 949 MS/Dutch MS Research Foundation/
GR  - 733050836/ZonMW Memorable grant/
GR  - 31871137/National Natural Science Foundation of China/
GR  - 31920103009/National Natural Science Foundation of China/
GR  - 31530031/National Natural Science Foundation of China/
GR  - YESS 2018/Young Elite Scientists Sponsorship Program by China Association for 
      Science and Technology/
GR  - JCYJ20180507183500566/Shenzhen Science and Technology Research Funding Program/
GR  - 827-000235/Shenzhen Peacock Plan (CN)/
GR  - 2016ZT06S220/Guangdong Province Introduction of Innovative R&D Team (CN)/
GR  - KQTD2015033016104926/Shenzhen Peacock Program/
PT  - Journal Article
DEP - 20200819
PL  - Germany
TA  - Brain Struct Funct
JT  - Brain structure & function
JID - 101282001
SB  - IM
MH  - Adult
MH  - Brain/*diagnostic imaging
MH  - Brain Mapping
MH  - Default Mode Network/*diagnostic imaging
MH  - Female
MH  - Functional Neuroimaging
MH  - Hallucinations/*diagnostic imaging
MH  - Humans
MH  - Magnetic Resonance Imaging
MH  - Male
MH  - Nerve Net/*diagnostic imaging
MH  - Schizophrenia/*diagnostic imaging
MH  - Young Adult
PMC - PMC7544708
OTO - NOTNLM
OT  - Auditory-verbal hallucinations
OT  - Default model network
OT  - Dynamic connectivity
OT  - Language network
OT  - Network-antagonistic state
COIS- The authors have declared that there are no conflicts of interest in relation to 
      the subject of this study.
EDAT- 2020/08/20 06:00
MHDA- 2021/08/12 06:00
PMCR- 2020/08/19
CRDT- 2020/08/20 06:00
PHST- 2020/02/10 00:00 [received]
PHST- 2020/07/23 00:00 [accepted]
PHST- 2020/08/20 06:00 [pubmed]
PHST- 2021/08/12 06:00 [medline]
PHST- 2020/08/20 06:00 [entrez]
PHST- 2020/08/19 00:00 [pmc-release]
AID - 10.1007/s00429-020-02119-1 [pii]
AID - 2119 [pii]
AID - 10.1007/s00429-020-02119-1 [doi]
PST - ppublish
SO  - Brain Struct Funct. 2020 Nov;225(8):2315-2330. doi: 10.1007/s00429-020-02119-1. 
      Epub 2020 Aug 19.