Cognitive function and neuroimaging correlates in a subjective cognitive decline population within a multimodal intervention supplemented with green tea extract (PENSA Study): Preliminary results of a voxel‐based morphometry study
Bibliographic record
Abstract
Abstract Background Multicomponent interventions including diet, physical activity and cognitive training have shown great potential to prevent cognitive decline in individuals at risk of developing the clinical stages of Alzheimer’s disease (AD). The PENSA study is a clinical trial focused on the prevention of cognitive decline in individuals with subjective cognitive decline (SCD) who are also APOE ε4 carriers. It is based on a 12‐month multimodal intervention (nutritional, physical and cognitive) combined with epigallocatechin‐3‐gallate (EGCG), a natural flavanol and known synaptic plasticity booster. In this study, we sought for neuroimaging correlates of cognitive performance of the PENSA participants at baseline. Method Twenty‐five (N=25) SCD participants of the PENSA Study at baseline (Table 1) with valid T1w and T2w MRI scans were included. They also underwent a neuropsychological assessment battery consisting of the modified Alzheimer Disease Cooperative Study Preclinical Alzheimer Cognitive Composite (ADCS‐PACC‐like) and additional cognitive performance scores obtained from (i) semantic verbal fluency, (ii) Boston Naming Test, (iii) digit span subtest, (iv) visual puzzle subtest and (v) the Montreal Cognitive Assessment. In addition, measurements of mental health, functionality, quality of sleep and quality of life perception have been assessed. T1w and T2w MRI scans were used to perform a multimodal segmentation of grey matter volumes (GMv) entered in the SPM12 voxel‐based morphometry (VBM) pipeline. Associations between test scores and GMv were sought (p<0.001) including age, sex, education and total intracranial volume as confounders. Result A negative correlation was found between the Free and Cued Selective Reminding Test (FCSRT) performance and GMv in the left anterior cingulate gyrus, left medial temporal lobe, right and middle temporal gyrus and left medial orbital gyrus (Figure 1). The rest of comparisons did not survive the statistical significance threshold. Conclusion Preliminary results show the expected pattern of negative associations between GMv and episodic memory performance, therefore suggesting that the PENSA study is recruiting the intended population of SCD individuals at risk of developing clinical stages of AD who could benefit from multimodal preventive interventions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".