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Auditory Hallucinations and the Brain's Resting-State Networks: Findings and Methodological Observations.

Identifieur interne : 002280 ( PubMed/Checkpoint ); précédent : 002279; suivant : 002281

Auditory Hallucinations and the Brain's Resting-State Networks: Findings and Methodological Observations.

Auteurs : Ben Alderson-Day [Royaume-Uni] ; Kelly Diederen [Royaume-Uni] ; Charles Fernyhough [Royaume-Uni] ; Judith M. Ford [États-Unis] ; Guillermo Horga [États-Unis] ; Daniel S. Margulies [Allemagne] ; Simon Mccarthy-Jones [Irlande (pays)] ; Georg Northoff [Canada] ; James M. Shine [États-Unis] ; Jessica Turner [États-Unis] ; Vincent Van De Ven [Pays-Bas] ; Remko Van Lutterveld [États-Unis] ; Flavie Waters [Australie] ; Renaud Jardri [France]

Source :

RBID : pubmed:27280452

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English descriptors

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.

DOI: 10.1093/schbul/sbw078
PubMed: 27280452


Affiliations:


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pubmed:27280452

Le document en format XML

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<div type="abstract" xml:lang="en">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.</div>
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<ELocationID EIdType="doi" ValidYN="Y">10.1093/schbul/sbw078</ELocationID>
<Abstract>
<AbstractText>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.</AbstractText>
<CopyrightInformation>© The Author 2016. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Alderson-Day</LastName>
<ForeName>Ben</ForeName>
<Initials>B</Initials>
<AffiliationInfo>
<Affiliation>Psychology Department, Durham University, Durham, UK; benjamin.alderson-day@durham.ac.uk.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Diederen</LastName>
<ForeName>Kelly</ForeName>
<Initials>K</Initials>
<AffiliationInfo>
<Affiliation>Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Fernyhough</LastName>
<ForeName>Charles</ForeName>
<Initials>C</Initials>
<AffiliationInfo>
<Affiliation>Psychology Department, Durham University, Durham, UK;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ford</LastName>
<ForeName>Judith M</ForeName>
<Initials>JM</Initials>
<AffiliationInfo>
<Affiliation>Department of Psychiatry, School of Medicine, University of California, San Francisco, San Francisco, CA;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Horga</LastName>
<ForeName>Guillermo</ForeName>
<Initials>G</Initials>
<AffiliationInfo>
<Affiliation>New York State Psychiatric Institute, Columbia University Medical Center, New York, NY;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Margulies</LastName>
<ForeName>Daniel S</ForeName>
<Initials>DS</Initials>
<AffiliationInfo>
<Affiliation>Max Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>McCarthy-Jones</LastName>
<ForeName>Simon</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>Department of Psychiatry, Trinity College Dublin, Dublin, Ireland;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Northoff</LastName>
<ForeName>Georg</ForeName>
<Initials>G</Initials>
<AffiliationInfo>
<Affiliation>Mind, Brain Imaging and Neuroethics Research Unit, The Royal's Institute of Mental Health Research, Ottawa, ON, Canada;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Shine</LastName>
<ForeName>James M</ForeName>
<Initials>JM</Initials>
<AffiliationInfo>
<Affiliation>Department of Psychology, Stanford University, Stanford, CA;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Turner</LastName>
<ForeName>Jessica</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Department of Psychology, Neuroscience Institute, Georgia State University, Atlanta, GA;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>van de Ven</LastName>
<ForeName>Vincent</ForeName>
<Initials>V</Initials>
<AffiliationInfo>
<Affiliation>Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>van Lutterveld</LastName>
<ForeName>Remko</ForeName>
<Initials>R</Initials>
<AffiliationInfo>
<Affiliation>Center for Mindfulness, University of Massachusetts Medical School, Worcester, MA;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Waters</LastName>
<ForeName>Flavie</ForeName>
<Initials>F</Initials>
<AffiliationInfo>
<Affiliation>North Metro Health Service Mental Health, Graylands Health Campus, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, WA, Australia;</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Jardri</LastName>
<ForeName>Renaud</ForeName>
<Initials>R</Initials>
<AffiliationInfo>
<Affiliation>Univ Lille, CNRS (UMR 9193), SCALab & CHU Lille, Psychiatry dept. (CURE), Lille, France.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y">
<Grant>
<GrantID>K23 MH101637</GrantID>
<Acronym>MH</Acronym>
<Agency>NIMH NIH HHS</Agency>
<Country>United States</Country>
</Grant>
</GrantList>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D016454">Review</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2016</Year>
<Month>06</Month>
<Day>08</Day>
</ArticleDate>
</Article>
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<Country>United States</Country>
<MedlineTA>Schizophr Bull</MedlineTA>
<NlmUniqueID>0236760</NlmUniqueID>
<ISSNLinking>0586-7614</ISSNLinking>
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