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Abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network?

BACKGROUND: Slow waves in the delta (0.5–4 Hz) frequency range are indications of normal activity in sleep. In neurological disorders, focal electric and magnetic slow wave activity is generated in the vicinity of structural brain lesions. Initial studies, including our own, suggest that the distrib...

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Autores principales: Rockstroh, Brigitte S, Wienbruch, Christian, Ray, William J, Elbert, Thomas
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2034549/
https://www.ncbi.nlm.nih.gov/pubmed/17760978
http://dx.doi.org/10.1186/1471-244X-7-44
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author Rockstroh, Brigitte S
Wienbruch, Christian
Ray, William J
Elbert, Thomas
author_facet Rockstroh, Brigitte S
Wienbruch, Christian
Ray, William J
Elbert, Thomas
author_sort Rockstroh, Brigitte S
collection PubMed
description BACKGROUND: Slow waves in the delta (0.5–4 Hz) frequency range are indications of normal activity in sleep. In neurological disorders, focal electric and magnetic slow wave activity is generated in the vicinity of structural brain lesions. Initial studies, including our own, suggest that the distribution of the focal concentration of generators of slow waves (dipole density in the delta frequency band) also distinguishes patients with psychiatric disorders such as schizophrenia, affective disorders, and posttraumatic stress disorder. METHODS: The present study examined the distribution of focal slow wave activity (ASWA: abnormal slow wave activity) in116 healthy subjects, 76 inpatients with schizophrenic or schizoaffective diagnoses and 42 inpatients with affective (ICD-10: F3) or neurotic/reactive (F4) diagnoses using a newly refined measure of dipole density. Based on 5-min resting magnetoencephalogram (MEG), sources of activity in the 1–4 Hz frequency band were determined by equivalent dipole fitting in anatomically defined cortical regions. RESULTS: Compared to healthy subjects the schizophrenia sample was characterized by significantly more intense slow wave activity, with maxima in frontal and central areas. In contrast, affective disorder patients exhibited less slow wave generators mainly in frontal and central regions when compared to healthy subjects and schizophrenia patients. In both samples, frontal ASWA were related to affective symptoms. CONCLUSION: In schizophrenic patients, the regions of ASWA correspond to those identified for gray matter loss. This suggests that ASWA might be evaluated as a measure of altered neuronal network architecture and communication, which may mediate psychopathological signs.
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spelling pubmed-20345492007-10-19 Abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network? Rockstroh, Brigitte S Wienbruch, Christian Ray, William J Elbert, Thomas BMC Psychiatry Research Article BACKGROUND: Slow waves in the delta (0.5–4 Hz) frequency range are indications of normal activity in sleep. In neurological disorders, focal electric and magnetic slow wave activity is generated in the vicinity of structural brain lesions. Initial studies, including our own, suggest that the distribution of the focal concentration of generators of slow waves (dipole density in the delta frequency band) also distinguishes patients with psychiatric disorders such as schizophrenia, affective disorders, and posttraumatic stress disorder. METHODS: The present study examined the distribution of focal slow wave activity (ASWA: abnormal slow wave activity) in116 healthy subjects, 76 inpatients with schizophrenic or schizoaffective diagnoses and 42 inpatients with affective (ICD-10: F3) or neurotic/reactive (F4) diagnoses using a newly refined measure of dipole density. Based on 5-min resting magnetoencephalogram (MEG), sources of activity in the 1–4 Hz frequency band were determined by equivalent dipole fitting in anatomically defined cortical regions. RESULTS: Compared to healthy subjects the schizophrenia sample was characterized by significantly more intense slow wave activity, with maxima in frontal and central areas. In contrast, affective disorder patients exhibited less slow wave generators mainly in frontal and central regions when compared to healthy subjects and schizophrenia patients. In both samples, frontal ASWA were related to affective symptoms. CONCLUSION: In schizophrenic patients, the regions of ASWA correspond to those identified for gray matter loss. This suggests that ASWA might be evaluated as a measure of altered neuronal network architecture and communication, which may mediate psychopathological signs. BioMed Central 2007-08-30 /pmc/articles/PMC2034549/ /pubmed/17760978 http://dx.doi.org/10.1186/1471-244X-7-44 Text en Copyright © 2007 Rockstroh et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rockstroh, Brigitte S
Wienbruch, Christian
Ray, William J
Elbert, Thomas
Abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network?
title Abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network?
title_full Abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network?
title_fullStr Abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network?
title_full_unstemmed Abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network?
title_short Abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network?
title_sort abnormal oscillatory brain dynamics in schizophrenia: a sign of deviant communication in neural network?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2034549/
https://www.ncbi.nlm.nih.gov/pubmed/17760978
http://dx.doi.org/10.1186/1471-244X-7-44
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