Discovering EEG resting state alterations of semantic dementia

Grieder, Matthias; König, Thomas; Kinoshita, Toshihiko; Utsunomiya, Keita; Wahlund, Lars-Olof; Dierks, Thomas; Nishida, Keiichiro (2016). Discovering EEG resting state alterations of semantic dementia. Clinical neurophysiology, 127(5), pp. 2175-2181. Elsevier 10.1016/j.clinph.2016.01.025

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Objective Diagnosis of semantic dementia relies on cost-intensive MRI or PET, although resting EEG markers of other dementias have been reported. Yet the view still holds that resting EEG in patients with semantic dementia is normal. However, studies using increasingly sophisticated EEG analysis methods have demonstrated that slightest alterations of functional brain states can be detected. Methods We analyzed the common four resting EEG microstates (A, B, C, and D) of 8 patients with semantic dementia in comparison with 8 healthy controls and 8 patients with Alzheimer’s disease. Results Topographical differences between the groups were found in microstate classes B and C, while microstate classes A and D were comparable. The data showed that the semantic dementia group had a peculiar microstate E, but the commonly found microstate C was lacking. Furthermore, the presence of microstate E was significantly correlated with lower MMSE and language scores. Conclusion Alterations in resting EEG can be found in semantic dementia. Topographical shifts in microstate C might be related to semantic memory deficits. Significance This is the first study that discovered resting state EEG abnormality in semantic dementia. The notion that resting EEG in this dementia subtype is normal has to be revised.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Psychiatric Neurophysiology (discontinued)
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy
04 Faculty of Medicine > University Psychiatric Services

UniBE Contributor:

Grieder, Matthias; König, Thomas and Dierks, Thomas

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1388-2457

Publisher:

Elsevier

Language:

English

Submitter:

Matthias Grieder

Date Deposited:

22 Mar 2016 11:34

Last Modified:

16 Feb 2017 02:30

Publisher DOI:

10.1016/j.clinph.2016.01.025

PubMed ID:

27072087

BORIS DOI:

10.7892/boris.77822

URI:

https://boris.unibe.ch/id/eprint/77822

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