Academic Journal
EEG microstate complexity for aiding early diagnosis of Alzheimer’s disease
| العنوان: | EEG microstate complexity for aiding early diagnosis of Alzheimer’s disease |
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| المؤلفون: | Tait, L, Tamagnini, F, Stothart, G, Barvas, E, Monaldini, C, Frusciante, R, Volpini, M, Guttmann, S, Coulthard, E, Brown, JT, Kazanina, N, Goodfellow, M |
| بيانات النشر: | Nature Research |
| سنة النشر: | 2020 |
| المجموعة: | University of Exeter: Open Research Exeter (ORE) |
| مصطلحات موضوعية: | Dementia, Electroencephalography – EEG, Alzheimer's disease, Biomarkers |
| الوصف: | This is the final version. Available from Nature Research via the DOI in this record. ; The dynamics of the resting brain exhibit transitions between a small number of discrete networks, each remaining stable for tens to hundreds of milliseconds. These functional microstates are thought to be the building blocks of spontaneous consciousness. The electroencephalogram (EEG) is a useful tool for imaging microstates, and EEG microstate analysis can potentially give insight into altered brain dynamics underpinning cognitive impairment in disorders such as Alzheimer’s disease (AD). Since EEG is non-invasive and relatively inexpensive, EEG microstates have the potential to be useful clinical tools for aiding early diagnosis of AD. In this study, EEG was collected from two independent cohorts of probable AD and cognitively healthy control participants, and a cohort of mild cognitive impairment (MCI) patients with four-year clinical follow-up. The microstate associated with the frontoparietal working-memory/attention network was altered in AD due to parietal inactivation. Using a novel measure of complexity, we found microstate transitioning was slower and less complex in AD. When combined with a spectral EEG measure, microstate complexity could classify AD with sensitivity and specificity > 80%, which was tested on an independent cohort, and could predict progression from MCI to AD in a small preliminary test cohort of 11 participants. EEG microstates therefore have potential to be a non-invasive functional biomarker of AD. ; Engineering and Physical Sciences Research Council (EPSRC) ; Wellcome Trust ; Alzheimer’s Society ; Garfield Weston Foundation ; University of Bristol ; University of San Marino and ISS |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | Vol. 10 : 17627; EP/P021417/1; EP/N014391/1; WT105618MA; 231; http://hdl.handle.net/10871/123368; Scientific Reports |
| DOI: | 10.1038/s41598-020-74790-7 |
| الاتاحة: | http://hdl.handle.net/10871/123368 https://doi.org/10.1038/s41598-020-74790-7 |
| Rights: | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. ; http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.C0AD6864 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-020-74790-7 |