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Some quantitative EEG features in default mode resting state network under general anaesthesia
P. Jombík, M. Drobny, B. Saniova, M. Fischer, P. Kaderjaková, M. Lajčiaková, E. Bakosova, E. Drobna, P. Bob, V. Nosáľ,
Jazyk angličtina Země Švédsko
Typ dokumentu časopisecké články
- MeSH
- alfa rytmus EEG fyziologie MeSH
- bezvědomí patofyziologie MeSH
- celková anestezie * MeSH
- delta rytmus EEG fyziologie MeSH
- dítě MeSH
- dospělí MeSH
- elektroencefalografie MeSH
- lidé středního věku MeSH
- lidé MeSH
- mapování mozku metody MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mozek patofyziologie MeSH
- nervová síť patofyziologie MeSH
- nervové dráhy patofyziologie MeSH
- odpočinek fyziologie MeSH
- senioři MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
OBJECTIVES: The default mode resting state network (DMRSN) constitutes a circuit which is active in conditions when the subject is at rest. We tested the hypothesis that its function will be altered during unconsciousness. METHODS: Changes in the mean squared coherences in five conventional frequency bands (delta to gamma) in DMRSN during general anaesthesia (GA) were investigated in 39 patients. They were compared with the normal EEG of 86 alert subjects, severely abnormal EEG of 112 patients with dementia and/or encephalopathy, and the mathematical model of brain death. RESULTS: Anaesthetised patients showed significant decrease in the gamma coherence in the posterior area of the DMRSN compared to both the control group and the patients with dementia and/or encephalopathy. Among the anaesthetized patients 21 had a clear burst suppression pattern with prolonged epochs of suppression in EEG. In suppressed EEG segment the differences between the connections of the anterior to posterior parts and connections between the posterior parts of the DMRSN were almost lost. However, they still showed highly significant differences in most items when compared with coherences in the mathematical model of brain death. CONCLUSION: The functional connectivity in the DMRSN could be a reliable and robust method for assessing the depth of anaesthesia and maybe also disorders of consciousness in general. The mean squared coherences in the gamma frequency band indicated the highest sensitivity for the depth of unconsciousness. The measure is not dependent on the diffused slowing in dementia or encephalopathy patients as long as they remain in a full consciousness.
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- $a Jombík, Peter $u Department of Neurology, Hospital Zvolen, Slovakia.
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- $a Some quantitative EEG features in default mode resting state network under general anaesthesia / $c P. Jombík, M. Drobny, B. Saniova, M. Fischer, P. Kaderjaková, M. Lajčiaková, E. Bakosova, E. Drobna, P. Bob, V. Nosáľ,
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- $a OBJECTIVES: The default mode resting state network (DMRSN) constitutes a circuit which is active in conditions when the subject is at rest. We tested the hypothesis that its function will be altered during unconsciousness. METHODS: Changes in the mean squared coherences in five conventional frequency bands (delta to gamma) in DMRSN during general anaesthesia (GA) were investigated in 39 patients. They were compared with the normal EEG of 86 alert subjects, severely abnormal EEG of 112 patients with dementia and/or encephalopathy, and the mathematical model of brain death. RESULTS: Anaesthetised patients showed significant decrease in the gamma coherence in the posterior area of the DMRSN compared to both the control group and the patients with dementia and/or encephalopathy. Among the anaesthetized patients 21 had a clear burst suppression pattern with prolonged epochs of suppression in EEG. In suppressed EEG segment the differences between the connections of the anterior to posterior parts and connections between the posterior parts of the DMRSN were almost lost. However, they still showed highly significant differences in most items when compared with coherences in the mathematical model of brain death. CONCLUSION: The functional connectivity in the DMRSN could be a reliable and robust method for assessing the depth of anaesthesia and maybe also disorders of consciousness in general. The mean squared coherences in the gamma frequency band indicated the highest sensitivity for the depth of unconsciousness. The measure is not dependent on the diffused slowing in dementia or encephalopathy patients as long as they remain in a full consciousness.
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