Resting-state EEG microstates link neural dynamics to fluid intelligence in mild cognitive impairment.
Background: Resting-state EEG microstates offer millisecond-scale markers of large-scale network dynamics that may capture early cognitive dysfunction in Mild Cognitive Impairment (MCI). We investigated whether microstate characteristics relate to global cognition and fluid intelligence in MCI. Meth...
| Publicado en: | Frontiers in Aging Neuroscience pp. 1 - 13 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Frontiers Media S.A.
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194254683&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194254683 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16634365 BG2U jtl: Frontiers in Aging Neuroscience issn: 16634365 maglogo: N pubinfo: dt: 2026 pid: 40038 pub: Frontiers Media S.A. artinfo: ui: 194254683 194254683 194254683 10.3389/fnagi.2026.1734828 194254683 ppf: 1 ppct: 12 formats: tig: atl: Resting-state EEG microstates link neural dynamics to fluid intelligence in mild cognitive impairment. aug: au: Sayman, Ceyhun Toplutaş, Eren Aylak, Uğur Safa, Shair Shah Savcılı, Mehmet Karakuş, Ayşe Uçak, Doğukan Hanoğlu, Lütfü Cankaya, Seyda Mardinoglu, Adil Yuluğ, Burak affil: Department of Neurology, Alanya Alaaddin Keykubat University, Antalya, Türkiye sug: subj: Mild Cognitive Impairment Electroencephalography Methods Cognition Disorders Early Diagnosis Memory Human Male Female Middle Age Aged Descriptive Statistics Psychological Tests Correlation Coefficient Data Analysis Software Mann-Whitney U Test Multivariate Analysis of Variance Spearman's Rank Correlation Coefficient Aging Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Background: Resting-state EEG microstates offer millisecond-scale markers of large-scale network dynamics that may capture early cognitive dysfunction in Mild Cognitive Impairment (MCI). We investigated whether microstate characteristics relate to global cognition and fluid intelligence in MCI. Methods: Sixty adults (30 MCI; 30 healthy controls, HC) were evaluated using the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Raven's Progressive Matrices (RPM), and the Benton Facial Recognition Test (BFRT). Resting-state, eyes-closed EEG was recorded, and microstate Global Explained Variance (GEV) was calculated by mapping study specific topographies to the seven canonical classes (A–G) of the Metamaps2023 templates. In addition to GEV, temporal parameters (duration, occurrence, and coverage) were analyzed. Group differences and age/education/sex-adjusted correlations were assessed using a unified non-parametric framework with FDR correction. Results: MCI patients showed significantly lower scores across all cognitive domains compared to HC (p < 0.01). GEV was significantly higher in the MCI group for microstate B (≈11.3% vs. 7.9%; p = 0.007) and microstate C (≈6.1% vs. 4.1%; p = 0.007), while other classes showed no significant differences. Temporal analysis revealed that microstates B and C exhibited significantly increased occurrence and coverage in the MCI group, whereas mean duration did not differ between groups. Correlation analysis demonstrated that increased GEV of microstates B and C was associated with poorer performance on the MoCA and RPM, while microstates A and G showed positive correlations with MMSE scores. These associations remained robust after controlling demographic covariates. Conclusion: MCI is characterized by an increased contribution of microstates B and C, which are linked to impairments in fluid reasoning and executive control. These findings suggest that microstate dynamics serve as sensitive markers of early network disorganization in the predementia stage, reflecting a loss of neural flexibility that mirrors cognitive decline. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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