Correlation Between QEEG Patterns and Neuropsychological Profile in Patients with Cognitive Impairment from the Colombian Caribbean
Bibliographic record
Abstract
BACKGROUND: Quantitative Electroencephalography (qEEG) plays a pivotal role in the assessment and categorization of cognitive impairment (CI). The integration of qEEG markers with neuropsychological test scores can predict rapid cognitive decline in neurodegenerative diseases. The aim of this study was to correlate qEEG findings with the neuropsychological profile in patients with CI from the Colombian Caribbean. METHODS: A cross-sectional study. Patients with CI (n = 151) from the northern coast of the Colombian Caribbean region were included. Cognitive function was assessed using qEEG and it was categorized as follows: low beta activity (mild CI) (n = 6), frontal slowing (moderate CI) (n = 137), and alterations in alpha activity (severe CI) (n = 8). A cuantitative and normative EEG (Z-score) was performed using the international 10-20 system assembly, a 36 channel EEG amplifier and normative database software-Neurovirtual were used. Neuropsychological profiling was assessed using the following tests: Hopkins Verbal Learning Test-Revised (HVLT-R), Clue Recall, Delayed Recall, Memory Complaint Scale (MCS), Trail Making Test Part A and B (TMT-A/B), Symbol-Digit test, Lawton & Brody, Yesavage, and Montreal Cognitive Assessment (MoCA). Principal component analysis was used to assess relationships between qEEG categories and the neuropsychological profile (Figure 1). RESULTS: Patients with alterations in alpha activity exhibited significantly lower scores on the Lawton & Brody test (p = 0.02) and MoCA (p = 0.04) and higher scores on the Yesavage test (p = 0.04). Significant positive correlations were observed between HLVT-R and Clue recall tests (Spearman r = 0.83, p<0.001), as well as between the MOCA and Lawton & Brody tests (Spearman r = 0.74, p>0.001). In contrast, significant negative correlations were found between the Yesavage and Lawton & Brody tests (Spearman r = -0.45, p = 0.008). CONCLUSIONS: In this study, patients with alterations in alpha activity were correlated with lower cognitive performance and emotional impairment. This study underscores the importance of qEEG in conjunction with the neuropsychological profile in evaluating cognitive impairment, emphasizing its utility in diagnostic and therapeutic interventions in cognitive health planning.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".