Common and Disease‐Specific EEG Microstate Alterations Across Alzheimer′s Disease, Parkinson′s Disease, Behavioral Variant Frontotemporal Dementia, and Multiple Sclerosis: A Cross‐Disease Comparison.
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| Title: | Common and Disease‐Specific EEG Microstate Alterations Across Alzheimer′s Disease, Parkinson′s Disease, Behavioral Variant Frontotemporal Dementia, and Multiple Sclerosis: A Cross‐Disease Comparison. |
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| Authors: | Lv, Shiyang (AUTHOR), Ran, Xiangying (AUTHOR), Xiang, Huijing (AUTHOR), Wang, Nian (AUTHOR), Zhou, Zhengrong (AUTHOR), Chen, Lei (AUTHOR), Bertocci, Michele (AUTHOR) |
| Source: | Acta Neurologica Scandinavica. 3/10/2026, Vol. 2026, p1-9. 9p. |
| Subjects: | Alzheimer's disease, Parkinson's disease, Multiple sclerosis, Biomarkers, Frontotemporal dementia, Large-scale brain networks, Neurological disorders |
| Abstract: | Background: Alzheimer′s disease (AD), Parkinson′s disease (PD), behavioral variant frontotemporal dementia (bvFTD), and multiple sclerosis (MS) are common neurological disorders that disrupt brain networks and impair cognition and emotion. EEG microstates, as spatiotemporal markers of brain activity, have attracted increasing attention. They capture rapid large‐scale brain dynamics on the millisecond timescale, offering a novel way to explore shared and distinct features across neurological disorders. Methods: A total of 123 participants were included in this study, 35 with AD, 18 with bvFTD, 16 with PD, 22 with MS, and 32 healthy controls (HCs). High‐density EEG signals were recorded during eyes‐closed resting state. EEG microstate analysis was performed to extract duration, occurrence, and coverage for each microstate class. Group differences were examined using one‐way ANOVA or Kruskal–Wallis tests, as appropriate. Results: Compared with HC, patients with AD showed increased duration, occurrence, and coverage of Microstate C, and reduced occurrence and coverage of Microstate D. In PD, the duration of Microstate A was significantly reduced, whereas the occurrence and coverage of Microstate C were significantly elevated. The MS group showed partial differences relative to AD and PD, whereas no significant alterations were observed in bvFTD. Overall, Microstates C and D showed potential as cross‐diagnostic electrophysiological biomarkers. Conclusion: This study identified disorder‐specific microstate alterations, with the most prominent differences in Microstates C and D. Notably, the divergence in Microstate D between AD and PD may reflect distinct mechanisms of network disruption. These findings provide new insights into the network‐level pathophysiology of neurological disorders and highlight the promise of EEG microstates as transdiagnostic biomarkers for characterizing large‐scale functional impairments. [ABSTRACT FROM AUTHOR] |
| Copyright of Acta Neurologica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 192204678 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Common and Disease‐Specific EEG Microstate Alterations Across Alzheimer′s Disease, Parkinson′s Disease, Behavioral Variant Frontotemporal Dementia, and Multiple Sclerosis: A Cross‐Disease Comparison. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lv%2C+Shiyang%22">Lv, Shiyang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ran%2C+Xiangying%22">Ran, Xiangying</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiang%2C+Huijing%22">Xiang, Huijing</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Nian%22">Wang, Nian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Zhengrong%22">Zhou, Zhengrong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Lei%22">Chen, Lei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bertocci%2C+Michele%22">Bertocci, Michele</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Acta+Neurologica+Scandinavica%22">Acta Neurologica Scandinavica</searchLink>. 3/10/2026, Vol. 2026, p1-9. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Alzheimer's+disease%22">Alzheimer's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Parkinson's+disease%22">Parkinson's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+sclerosis%22">Multiple sclerosis</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Frontotemporal+dementia%22">Frontotemporal dementia</searchLink><br /><searchLink fieldCode="DE" term="%22Large-scale+brain+networks%22">Large-scale brain networks</searchLink><br /><searchLink fieldCode="DE" term="%22Neurological+disorders%22">Neurological disorders</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Alzheimer′s disease (AD), Parkinson′s disease (PD), behavioral variant frontotemporal dementia (bvFTD), and multiple sclerosis (MS) are common neurological disorders that disrupt brain networks and impair cognition and emotion. EEG microstates, as spatiotemporal markers of brain activity, have attracted increasing attention. They capture rapid large‐scale brain dynamics on the millisecond timescale, offering a novel way to explore shared and distinct features across neurological disorders. Methods: A total of 123 participants were included in this study, 35 with AD, 18 with bvFTD, 16 with PD, 22 with MS, and 32 healthy controls (HCs). High‐density EEG signals were recorded during eyes‐closed resting state. EEG microstate analysis was performed to extract duration, occurrence, and coverage for each microstate class. Group differences were examined using one‐way ANOVA or Kruskal–Wallis tests, as appropriate. Results: Compared with HC, patients with AD showed increased duration, occurrence, and coverage of Microstate C, and reduced occurrence and coverage of Microstate D. In PD, the duration of Microstate A was significantly reduced, whereas the occurrence and coverage of Microstate C were significantly elevated. The MS group showed partial differences relative to AD and PD, whereas no significant alterations were observed in bvFTD. Overall, Microstates C and D showed potential as cross‐diagnostic electrophysiological biomarkers. Conclusion: This study identified disorder‐specific microstate alterations, with the most prominent differences in Microstates C and D. Notably, the divergence in Microstate D between AD and PD may reflect distinct mechanisms of network disruption. These findings provide new insights into the network‐level pathophysiology of neurological disorders and highlight the promise of EEG microstates as transdiagnostic biomarkers for characterizing large‐scale functional impairments. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Acta Neurologica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/ane/7974554 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Subjects: – SubjectFull: Alzheimer's disease Type: general – SubjectFull: Parkinson's disease Type: general – SubjectFull: Multiple sclerosis Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Frontotemporal dementia Type: general – SubjectFull: Large-scale brain networks Type: general – SubjectFull: Neurological disorders Type: general Titles: – TitleFull: Common and Disease‐Specific EEG Microstate Alterations Across Alzheimer′s Disease, Parkinson′s Disease, Behavioral Variant Frontotemporal Dementia, and Multiple Sclerosis: A Cross‐Disease Comparison. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lv, Shiyang – PersonEntity: Name: NameFull: Ran, Xiangying – PersonEntity: Name: NameFull: Xiang, Huijing – PersonEntity: Name: NameFull: Wang, Nian – PersonEntity: Name: NameFull: Zhou, Zhengrong – PersonEntity: Name: NameFull: Chen, Lei – PersonEntity: Name: NameFull: Bertocci, Michele IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 03 Text: 3/10/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00016314 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: Acta Neurologica Scandinavica Type: main |
| ResultId | 1 |
