Neural correlates of somatoform disorders from a meta-analytic perspective on neuroimaging studies
Somatoform disorders (SD) are common medical disorders with prevalence rates between 3.5% and 18.4%, depending on country and medical setting. SD as outlined in the ICD-10 exhibits various biological, social, and psychological pathogenic factors. Little is known about the neural correlates of SD. Th...
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Format: | Article |
Language: | English |
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Elsevier
2016-01-01
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Series: | NeuroImage: Clinical |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S221315821630064X |
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author | Markus Boeckle Marlene Schrimpf Gregor Liegl Christoph Pieh |
author_facet | Markus Boeckle Marlene Schrimpf Gregor Liegl Christoph Pieh |
author_sort | Markus Boeckle |
collection | DOAJ |
description | Somatoform disorders (SD) are common medical disorders with prevalence rates between 3.5% and 18.4%, depending on country and medical setting. SD as outlined in the ICD-10 exhibits various biological, social, and psychological pathogenic factors. Little is known about the neural correlates of SD. The aims of this meta-analysis are to identify neuronal areas that are involved in SD and consistently differ between patients and healthy controls. We conducted a systematic literature research on neuroimaging studies of SD. Ten out of 686 studies fulfilled the inclusion criteria and were analyzed using activation likelihood estimation. Five neuronal areas differ between patients with SD and healthy controls namely the premotor and supplementary motor cortexes, the middle frontal gyrus, the anterior cingulate cortex, the insula, and the posterior cingulate cortex. These areas seem to have a particular importance for the occurrence of SD. Out of the ten studies two did not contribute to any of the clusters. Our results seem to largely overlap with the circuit network model of somatosensory amplification for SD. It is conceivable that functional disorders, independent of the clinical impression, show similar neurobiological processes. While overlaps do occur it is necessary to understand single functional somatic syndromes and their aetiology for future research, terminology, and treatment guidelines. |
first_indexed | 2024-12-11T19:23:08Z |
format | Article |
id | doaj.art-5ce306c6a3a54dc98df1e78769995a10 |
institution | Directory Open Access Journal |
issn | 2213-1582 |
language | English |
last_indexed | 2024-12-11T19:23:08Z |
publishDate | 2016-01-01 |
publisher | Elsevier |
record_format | Article |
series | NeuroImage: Clinical |
spelling | doaj.art-5ce306c6a3a54dc98df1e78769995a102022-12-22T00:53:28ZengElsevierNeuroImage: Clinical2213-15822016-01-0111C60661310.1016/j.nicl.2016.04.001Neural correlates of somatoform disorders from a meta-analytic perspective on neuroimaging studiesMarkus Boeckle0Marlene Schrimpf1Gregor Liegl2Christoph Pieh3Department of Psychotherapy and Biopsychosocial Health, Donau-Universität Krems, Krems, AustriaDepartment of Psychotherapy and Biopsychosocial Health, Donau-Universität Krems, Krems, AustriaDepartment of Psychotherapy and Biopsychosocial Health, Donau-Universität Krems, Krems, AustriaDepartment of Psychotherapy and Biopsychosocial Health, Donau-Universität Krems, Krems, AustriaSomatoform disorders (SD) are common medical disorders with prevalence rates between 3.5% and 18.4%, depending on country and medical setting. SD as outlined in the ICD-10 exhibits various biological, social, and psychological pathogenic factors. Little is known about the neural correlates of SD. The aims of this meta-analysis are to identify neuronal areas that are involved in SD and consistently differ between patients and healthy controls. We conducted a systematic literature research on neuroimaging studies of SD. Ten out of 686 studies fulfilled the inclusion criteria and were analyzed using activation likelihood estimation. Five neuronal areas differ between patients with SD and healthy controls namely the premotor and supplementary motor cortexes, the middle frontal gyrus, the anterior cingulate cortex, the insula, and the posterior cingulate cortex. These areas seem to have a particular importance for the occurrence of SD. Out of the ten studies two did not contribute to any of the clusters. Our results seem to largely overlap with the circuit network model of somatosensory amplification for SD. It is conceivable that functional disorders, independent of the clinical impression, show similar neurobiological processes. While overlaps do occur it is necessary to understand single functional somatic syndromes and their aetiology for future research, terminology, and treatment guidelines.http://www.sciencedirect.com/science/article/pii/S221315821630064XSomatoform disordersSomatoform pain disordersNeuroimagingMRIALEActivation likelihood estimationMeta-analysisPremotor areaSupplementary motor cortexMiddle frontal gyrusAnterior cingulate cortexInsulaPosterior cingulate cortex |
spellingShingle | Markus Boeckle Marlene Schrimpf Gregor Liegl Christoph Pieh Neural correlates of somatoform disorders from a meta-analytic perspective on neuroimaging studies NeuroImage: Clinical Somatoform disorders Somatoform pain disorders Neuroimaging MRI ALE Activation likelihood estimation Meta-analysis Premotor area Supplementary motor cortex Middle frontal gyrus Anterior cingulate cortex Insula Posterior cingulate cortex |
title | Neural correlates of somatoform disorders from a meta-analytic perspective on neuroimaging studies |
title_full | Neural correlates of somatoform disorders from a meta-analytic perspective on neuroimaging studies |
title_fullStr | Neural correlates of somatoform disorders from a meta-analytic perspective on neuroimaging studies |
title_full_unstemmed | Neural correlates of somatoform disorders from a meta-analytic perspective on neuroimaging studies |
title_short | Neural correlates of somatoform disorders from a meta-analytic perspective on neuroimaging studies |
title_sort | neural correlates of somatoform disorders from a meta analytic perspective on neuroimaging studies |
topic | Somatoform disorders Somatoform pain disorders Neuroimaging MRI ALE Activation likelihood estimation Meta-analysis Premotor area Supplementary motor cortex Middle frontal gyrus Anterior cingulate cortex Insula Posterior cingulate cortex |
url | http://www.sciencedirect.com/science/article/pii/S221315821630064X |
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