Can neuroimaging help us to understand and classify somatoform disorders? A systematic and critical review.

OBJECTIVE: Debate about the nature of somatoform disorders and their current diagnostic classification has been stimulated by the anticipation of new editions of Diagnostic and Statistical Manual of Mental Disorders and International Statistical Classification of Diseases and Related Health Problem...

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Main Authors: Browning, M, Fletcher, P, Sharpe, M
Format: Journal article
Language:English
Published: 2011
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author Browning, M
Fletcher, P
Sharpe, M
author_facet Browning, M
Fletcher, P
Sharpe, M
author_sort Browning, M
collection OXFORD
description OBJECTIVE: Debate about the nature of somatoform disorders and their current diagnostic classification has been stimulated by the anticipation of new editions of Diagnostic and Statistical Manual of Mental Disorders and International Statistical Classification of Diseases and Related Health Problems diagnostic classifications. In the current paper, we review systematically the literature on the neuroimaging of somatoform disorders and related conditions with the aim of addressing two specific questions: Is there evidence of altered neural function or structure that is specifically associated with somatoform disorders? What conclusions can we draw from these findings about the etiology of somatoform disorders? METHODS: Studies reporting neuroimaging findings in patients with a somatoform disorder or a functional somatic syndrome (such as fibromyalgia) were found using Pubmed, PsycINFO, and EMBASE database searches. Reported structural and functional neuroimaging findings were then extracted to form a narrative review. RESULTS: A relatively mature literature on symptoms of pain and less developed literatures on conversion and fatigue symptoms were identified. The available evidence indicates that, when compared with nonclinical groups, somatoform diagnoses are associated with increased activity of limbic regions in response to painful stimuli and a generalized decrease in gray matter density; however, methodological considerations restrict the interpretation of these findings. CONCLUSIONS: Whereas the neuroimaging literature has provided evidence about the possible mechanisms underlying somatoform disorders, this is not yet sufficient to provide a basis for classification. By adopting a wider variety of experimental designs and a more dynamic approach to diagnosis, there is every reason to be hopeful that neuroimaging data will play a significant role in future taxonomies.
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spelling oxford-uuid:3f2ba7bf-c68e-499e-9dcf-c5d73559a5dc2022-03-26T14:30:13ZCan neuroimaging help us to understand and classify somatoform disorders? A systematic and critical review.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3f2ba7bf-c68e-499e-9dcf-c5d73559a5dcEnglishSymplectic Elements at Oxford2011Browning, MFletcher, PSharpe, M OBJECTIVE: Debate about the nature of somatoform disorders and their current diagnostic classification has been stimulated by the anticipation of new editions of Diagnostic and Statistical Manual of Mental Disorders and International Statistical Classification of Diseases and Related Health Problems diagnostic classifications. In the current paper, we review systematically the literature on the neuroimaging of somatoform disorders and related conditions with the aim of addressing two specific questions: Is there evidence of altered neural function or structure that is specifically associated with somatoform disorders? What conclusions can we draw from these findings about the etiology of somatoform disorders? METHODS: Studies reporting neuroimaging findings in patients with a somatoform disorder or a functional somatic syndrome (such as fibromyalgia) were found using Pubmed, PsycINFO, and EMBASE database searches. Reported structural and functional neuroimaging findings were then extracted to form a narrative review. RESULTS: A relatively mature literature on symptoms of pain and less developed literatures on conversion and fatigue symptoms were identified. The available evidence indicates that, when compared with nonclinical groups, somatoform diagnoses are associated with increased activity of limbic regions in response to painful stimuli and a generalized decrease in gray matter density; however, methodological considerations restrict the interpretation of these findings. CONCLUSIONS: Whereas the neuroimaging literature has provided evidence about the possible mechanisms underlying somatoform disorders, this is not yet sufficient to provide a basis for classification. By adopting a wider variety of experimental designs and a more dynamic approach to diagnosis, there is every reason to be hopeful that neuroimaging data will play a significant role in future taxonomies.
spellingShingle Browning, M
Fletcher, P
Sharpe, M
Can neuroimaging help us to understand and classify somatoform disorders? A systematic and critical review.
title Can neuroimaging help us to understand and classify somatoform disorders? A systematic and critical review.
title_full Can neuroimaging help us to understand and classify somatoform disorders? A systematic and critical review.
title_fullStr Can neuroimaging help us to understand and classify somatoform disorders? A systematic and critical review.
title_full_unstemmed Can neuroimaging help us to understand and classify somatoform disorders? A systematic and critical review.
title_short Can neuroimaging help us to understand and classify somatoform disorders? A systematic and critical review.
title_sort can neuroimaging help us to understand and classify somatoform disorders a systematic and critical review
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