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Record W6989201768

Alpha EEG Spectral Characteristics in the Parieto-Occipital lobe of Elderly Patients with Chronic Insomnia and Mild Cognitive Impairment

2024· article· en· W6989201768 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsInsomniaPittsburgh Sleep Quality IndexMontreal Cognitive AssessmentElectroencephalographyCognitive impairmentSleep (system call)Sleep disorderCognition
DOInot available

Abstract

fetched live from OpenAlex

ObjectiveAnalysis of Alpha Spectral Characteristics in the Parieto-Occipital lobe of Elderly Individuals with Chronic Insomnia and Mild Cognitive Impairment (MCI).MethodsEighty elderly individuals with chronic insomnia and mild cognitive impairment (MCI) were selected from the community in Fuzhou, Fujian Province, from June 2019 to December 2020. This included a healthy control group (HC) of30 individuals, a chronic insomnia group (CI) of 20 individuals, and a chronic insomnia with MCI group (CI-MCI) of 30 individuals. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, while the Fuzhou version of the Montreal Cognitive Assessment (MoCA) was employed to evaluate cognitive functions, including visuospatial execution, naming, attention, verbal fluency, abstraction, delayed recall, and orientation. Daytime resting-state electroencephalography (EEG) was collected using the Neuroscan synchronous EEG recording system, comparing the power values and trends of alpha waves (8–13 Hz) across channels in the occipital lobe. Additionally, we analyzed the changes in alpha spectral power in relation to cognitive functions.Results(1)PSQI scores:Compared to the HC group, the daytime functional impairment scores in the CI-MCI group were significantly higher, with a statistically significant difference (P <0. 05). The total PSQI scores, sleep quality, sleep onset latency, total sleep time, sleep efficiency, and sleep disturbance scores were significantly higher in the CI group and the CI-MCI group, while the use of hypnotics score was significantly reduced, with statistically significant differences (P <0. 05). (2)MoCA scores:Compared to the HC and CI groups, the CI-MCI group exhibited significantly lower total MoCA scores, as well as reductions in visuospatial execution, naming, attention, verbal fluency, delayed recall, and orientation, with statistically significant differences (P <0. 05). (3)EEG spectral characteristics:Compared to the HC group, the CI-MCI group showed significantly increased alpha spectral power at sites P1, P6, POZ, PO4, and PO6 in the Parieto-Occipital lobe, with statistically significant differences (P <0. 05). Additionally, the topographical maps of the alpha spectral power in the parietal and occipital lobes were notably stronger in the CI-MCI group compared to the HC group. (4)Correlation between changes in occipital alpha spectral power and cognitive function:The alpha spectral power at site P6 in the right parietal lobe (r =0. 444, P =0. 023), at site POZ in the occipital lobe (r =0. 444, P =0. 023), and at site PO4 in the right parietal lobe (r =0. 478, P =0. 014) all showed a positive correlation with visuospatial executive function.ConclusionThe changes in Parieto-Occipital lobe alpha spectral power are indicative of cognitive impairment in elderly individuals with chronic insomnia and mild cognitive impairment (MCI). Moreover, Parieto-Occipital lobe alpha spectral power can modulate cognitive function in this population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.070
GPT teacher head0.469
Teacher spread0.400 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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