UMMS Affiliation

Center for Mindfulness

Date

9-1-2016

Document Type

Article

Disciplines

Behavior and Behavior Mechanisms | Nervous System Diseases | Neuroscience and Neurobiology | Pathological Conditions, Signs and Symptoms | Psychiatry

Abstract

In recent years, there has been increasing interest in the potential for alterations to the brain's resting-state networks (RSNs) to explain various kinds of psychopathology. RSNs provide an intriguing new explanatory framework for hallucinations, which can occur in different modalities and population groups, but which remain poorly understood. This collaboration from the International Consortium on Hallucination Research (ICHR) reports on the evidence linking resting-state alterations to auditory hallucinations (AH) and provides a critical appraisal of the methodological approaches used in this area. In the report, we describe findings from resting connectivity fMRI in AH (in schizophrenia and nonclinical individuals) and compare them with findings from neurophysiological research, structural MRI, and research on visual hallucinations (VH). In AH, various studies show resting connectivity differences in left-hemisphere auditory and language regions, as well as atypical interaction of the default mode network and RSNs linked to cognitive control and salience. As the latter are also evident in studies of VH, this points to a domain-general mechanism for hallucinations alongside modality-specific changes to RSNs in different sensory regions. However, we also observed high methodological heterogeneity in the current literature, affecting the ability to make clear comparisons between studies. To address this, we provide some methodological recommendations and options for future research on the resting state and hallucinations.

Rights and Permissions

Citation: Schizophr Bull. 2016 Sep;42(5):1110-23. doi: 10.1093/schbul/sbw078. Epub 2016 Jun 8. Link to article on publisher's site

Copyright © The Author 2016. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

DOI of Published Version

10.1093/schbul/sbw078

Related Resources

Link to Article in PubMed

Keywords

default mode network, fMRI, perception, psychosis, schizophrenia

Journal Title

Schizophrenia bulletin

PubMed ID

27280452

Creative Commons License

Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

 
 

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