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Record W4411109841 · doi:10.3724/sp.j.1329.2024.06010

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

2024· article· en· W4411109841 on OpenAlexaboutno aff
Zhenxing Guo, Linxin Bai, Lin Zhang, Jiahui Gao, T. Hemanth Rao, Zhizhen Liu

Bibliographic record

VenueRehabilitation Medicine · 2024
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsElectroencephalographyCognitive impairmentMedicineInsomniaOccipital lobeAudiologyCognitionAlpha (finance)PsychologyNeurosciencePsychiatryClinical psychology

Abstract

fetched live from OpenAlex

<bold>Objective</bold> To analyze the electroencephalography (EEG) alpha spectral characteristics in the parieto-occipital lobe of elderly individuals with chronic insomnia and mild cognitive impairment (MCI). <bold>Methods</bold> A total of 80 elderly individuals from the Gudong and Wenquan communities in Fuzhou, Fujian Province were recruited from June 2019 to December 2020, including 30 cases in the healthy control group (HC), 20 cases in the chronic insomnia (CI) group and 30 cases in the CI combined with MCI (CI-MCI) group. The Pittsburgh sleep quality index (PSQI) was used to assess sleep quality; Fuzhou version of the Montreal cognitive assessment (MoCA) was used to evaluate cognitive functions (visuospatial execution, naming, attention, verbal fluency, abstraction, delayed recall and orientation). Neuroscan 64-channel EEG instrument synchronous EEG recording system was used to collect daytime resting-state EEG signals, and the differences and changing trends of alpha (8-13 Hz) power values of each channel in parieto-occipital lobe were compared.The correlation between the change of alpha spectral power in the parieto-occipital lobe and cognitive function was analyzed. <bold>Results</bold> (1) PSQI scores: compared with the HC group, the daytime functional impairment scores in the CI-MCI group were significantly higher, with a statistically significant difference (<italic>P</italic>&lt;0.05). The total PSQI scores, sleep quality, sleep onset latency, total sleep time, sleep efficiency and sleep disturbance scores in both the CI group and the CI-MCI group were significantly higher, while the use of hypnotics scores were significantly lower, and the differences were statistically significant (<italic>P</italic>&lt;0.05).(2) MoCA scores: compared with the HC group and the CI group, total MoCA score, and the scores of visuospatial execution, naming, attention, verbal fluency, abstract abilitivies, delayed recall and orientation in the CI-MCI group were significantly lower, and the differences were statistically significant (<italic>P</italic>&lt;0.05).(3) EEG spectral characteristics: compared with the HC group, P1, P6, POZ, PO4, PO6 alpha spectral power of parieto-occipital lobe in the CI-MCI group increased significantly (<italic>P</italic>&lt;0.05). Compared with the HC group, alpha spectral topography of parieto-occipital lobe in the CI-MCI group showed stronger spectral power. (4) Correlation between changes in parieto-occipital alpha spectral power and cognitive function: the alpha spectral power at site P6 in the right parietal lobe (<italic>r</italic>=0.444, <italic>P</italic>=0.023), at site POZ in the parieto-occipital lobe (<italic>r</italic>=0.444, <italic>P</italic>=0.023), and at site PO4 in the right parieto-occipital lobe (<italic>r</italic>=0.478, <italic>P</italic>=0.014) all showed a positive correlation with visuospatial executive function. <bold>Conclusion</bold> The change of alpha spectral power of parieto-occipital lobe is the manifestation of cognitive impairment in the elderly with chronic insomnia and MCI. The alpha spectral power of parieto-occipital lobe can regulate the cognitive function of the elderly with chronic insomnia and MCI.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.094
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.261
Teacher spread0.257 · 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 teacher head, 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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