Literature DB >> 8232844

Segmentation of the spontaneous EEG in dementia of the Alzheimer type.

R Ihl1, T Dierks, L Froelich, E M Martin, K Maurer.   

Abstract

Studies on EEG data in dementia of the Alzheimer type have mainly investigated parameters in the frequency domain. However, the EEG also reflects the momentary functional state of the brain. The EEG can be partitioned into segments of spatially stationary map landscapes as characterized by the locations of potential maxima and minima, to study the time domain of the EEG. We calculated the segment structure of 19-channel EEG recordings (1-30 Hz) from 10 patients with dementia of the Alzheimer type and 10 sex-matched geriatric controls. The EEG maps corresponding to global field power peaks were used for analysis. The locations of the potential maximum and minimum of the maps were determined over the course of 20 s and used for segmentation. The segments of EEG activity were significantly fewer (p < 0.05) and the segments lasted longer (p < 0.05) in patients compared to controls. This effect could be observed over the whole period of recording and thus was not caused by only a few long segments. The data may be linked to morphological and biochemical findings of neuronal loss and loss of synapses in dementia of the Alzheimer type.

Entities:  

Mesh:

Year:  1993        PMID: 8232844     DOI: 10.1159/000118986

Source DB:  PubMed          Journal:  Neuropsychobiology        ISSN: 0302-282X            Impact factor:   2.328


  11 in total

1.  EEG-microstates in mild memory impairment and Alzheimer's disease: possible association with disturbed information processing.

Authors:  T Dierks; V Jelic; P Julin; K Maurer; L O Wahlund; O Almkvist; W K Strik; B Winblad
Journal:  J Neural Transm (Vienna)       Date:  1997       Impact factor: 3.575

Review 2.  Microstates in resting-state EEG: current status and future directions.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Christoph M Michel; Faranak Farzan
Journal:  Neurosci Biobehav Rev       Date:  2014-12-17       Impact factor: 8.989

3.  Microstate feature fusion for distinguishing AD from MCI.

Authors:  Yupan Shi; Qinying Ma; Chunyu Feng; Mingwei Wang; Hualong Wang; Bing Li; Jiyu Fang; Shaochen Ma; Xin Guo; Tongliang Li
Journal:  Health Inf Sci Syst       Date:  2022-07-26

4.  Short timescale abnormalities in the states of spontaneous synchrony in the functional neural networks in Alzheimer's disease.

Authors:  Tatiana A Sitnikova; Jeremy W Hughes; Seppo P Ahlfors; Mark W Woolrich; David H Salat
Journal:  Neuroimage Clin       Date:  2018-05-22       Impact factor: 4.881

5.  Resting-state prefrontal EEG biomarkers in correlation with MMSE scores in elderly individuals.

Authors:  Jungmi Choi; Boncho Ku; Young Gooun You; Miok Jo; Minji Kwon; Youyoung Choi; Segyeong Jung; Soyoung Ryu; Eunjeong Park; Hoyeon Go; Gahye Kim; Wonseok Cha; Jaeuk U Kim
Journal:  Sci Rep       Date:  2019-07-18       Impact factor: 4.379

6.  Microstate Changes Associated With Alzheimer's Disease in Persons With Down Syndrome.

Authors:  Christian Sandøe Musaeus; Lise Cronberg Salem; Troels Wesenberg Kjaer; Gunhild Waldemar
Journal:  Front Neurosci       Date:  2019-11-28       Impact factor: 4.677

7.  EEG microstate complexity for aiding early diagnosis of Alzheimer's disease.

Authors:  Luke Tait; Francesco Tamagnini; George Stothart; Edoardo Barvas; Chiara Monaldini; Roberto Frusciante; Mirco Volpini; Susanna Guttmann; Elizabeth Coulthard; Jon T Brown; Nina Kazanina; Marc Goodfellow
Journal:  Sci Rep       Date:  2020-10-19       Impact factor: 4.379

8.  Altered oscillation and synchronization of default-mode network activity in mild Alzheimer's disease compared to mild cognitive impairment: an electrophysiological study.

Authors:  Fu-Jung Hsiao; Yuh-Jen Wang; Sui-Hing Yan; Wei-Ta Chen; Yung-Yang Lin
Journal:  PLoS One       Date:  2013-07-11       Impact factor: 3.240

9.  Changes in the left temporal microstate are a sign of cognitive decline in patients with Alzheimer's disease.

Authors:  Christian S Musaeus; Knut Engedal; Peter Høgh; Vesna Jelic; Arjun R Khanna; Troels Wesenberg Kjaer; Morten Mørup; Mala Naik; Anne-Rita Oeksengaard; Emiliano Santarnecchi; Jon Snaedal; Lars-Olof Wahlund; Gunhild Waldemar; Birgitte B Andersen
Journal:  Brain Behav       Date:  2020-04-27       Impact factor: 2.708

10.  EEG time signature in Alzheimer´s disease: Functional brain networks falling apart.

Authors:  Una Smailovic; Thomas Koenig; Erika J Laukka; Grégoria Kalpouzos; Thomas Andersson; Bengt Winblad; Vesna Jelic
Journal:  Neuroimage Clin       Date:  2019-10-18       Impact factor: 4.881

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.