| EEG findings in burnout patients. | |
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MedLine Citation:
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PMID: 20463115 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The concept of burnout remains enigmatic since it is only determined by behavioral characteristics. Moreover, the differential diagnosis with depression and chronic fatigue syndrome is difficult. EEG-related variables in 13 patients diagnosed with burnout syndrome were compared with 13 healthy comparison subjects in order to explore the existence of neurobiological markers for burnout. Burnout patients showed reduced P300 amplitude, a lower alpha peak frequency and reduced beta power. These EEG-related differences in burnout patients differ from those described in the literature in depression and chronic fatigue patients. Our preliminary findings suggest that burnout might be considered as a separate clinical syndrome. |
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Authors:
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Gilles van Luijtelaar; Marc Verbraak; Martijn van den Bunt; Ger Keijsers; Martijn Arns |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: The Journal of neuropsychiatry and clinical neurosciences Volume: 22 ISSN: 1545-7222 ISO Abbreviation: J Neuropsychiatry Clin Neurosci Publication Date: 2010 |
Date Detail:
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Created Date: 2010-05-13 Completed Date: 2010-08-18 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8911344 Medline TA: J Neuropsychiatry Clin Neurosci Country: United States |
Other Details:
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Languages: eng Pagination: 208-17 Citation Subset: IM |
Affiliation:
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Radboud University Nijmegen, PO Box 9104, 6500 HE, Nijmegen, The Netherlands. g.vanluijtelaar@donders.ru.nl |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Alpha Rhythm Beta Rhythm Brain / physiopathology* Burnout, Professional / physiopathology* Case-Control Studies Electroencephalography Event-Related Potentials, P300 Female Humans Male Middle Aged Neuropsychological Tests Psychiatric Status Rating Scales Syndrome Visual Perception / physiology |
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