Neural Oscillation Abnormalities and Abnormal Dynamic Network Connectivity in δ Frequency Band in Patients with Mild Cognitive Impairment Based on Resting-State Electroencephalogram
Bibliographic record
Abstract
ObjectiveTo analyze the abnormalities in neural oscillations within brain regions as well as the abnormal connectivity patterns of dynamic brain networks in the delta frequency band of patients with mild cognitive impairment (MCI) based on resting-state electroencephalogram (rsEEG).MethodsA total of 41 elderly individuals were selected from Min'an Community, Qingyang District, Chengdu City from November 2022 to May 2023 as the study subjects, including 21 cases in the MCI group, and 20 cases in the healthy control group (control group). An EEG device was used to collect 5-minute resting-state EEG data. The power spectral density (PSD) was analyzed for each electrode within the δ frequency band; the directed transfer function (DTF) was used to construct dynamic causal brain networks in the resting state, and the brain connectivity with statistically significant differences and their correlation with Montreal Cognitive Assessment (MoCA) score were analyzed.Results(1) PSD: in the δ frequency band, stronger δ oscillations were observed at one electrode in the prefrontal lobe (F7), one in the parietal lobe (CP6), and two in the occipital lobe (PO3, PO7) in the control group (P<0.05). δ oscillations were stronger at seven electrodes in the prefrontal lobe (F8, FP2, AF3, Fz, FC1, FC2, FC5), eight in the parietal lobe (CP1, CP2, CP5, P3, P4, P7, P8, Pz), one in the temporal lobe (T7), and two in the central region (C4, Cz) in the MCI group (P<0.05). (2) Resting-state time-invariant dynamic networks: in the δ frequency band, significantly enhanced brain connectivity was observed from the prefrontal lobe (AF3) to the prefrontal lobe (AF4) in the control group (P<0.05). The MCI group showed significantly enhanced top-down connectivity from prefrontal lobe (Fz, F8) to parietal (P3) lobe, bottom-up connectivity from parietal lobe (CP5) to prefrontal (FP2, F3) lobe, and connectivity from parietal lobe (P3) to central (C3) region, as well as bottom-up connectivity from occipital lobe (PO3) to prefrontal lobe (F7), central region (C4), and parietal lobe (CP5) (P<0.05). In the resting state, the enhanced brain connections significantly correlated with the MoCA score included the interactive brain connections between the prefrontal and parietal lobes (r=-0.37, P=0.012; r=-0.41, P=0.007), and the bottom-up long-range connections from the occipital lobe to the central region and parietal lobe (r=-0.34, P=0.030; r=-0.37, P=0.010).ConclusionMCI patients showed enhanced δ oscillations across multiple electrodes in various brain regions, primarily in the frontal and parietal lobes. In the δ frequency band, resting-state brain network connectivity exhibited significant abnormalities, mainly manifesting as enhanced mutual connectivity between the prefrontal and parietal lobes, and bottom-up connectivity from the occipital lobe to the central region and parietal lobe.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".