An 8‐week program of computerized cognitive training with exercise impacts cortical grey matter in older adults: Secondary findings of a randomized controlled trial
Bibliographic record
Abstract
Abstract Background The world’s population is aging and thus, it is important that we find strategies to reduce the rate of age‐related cognitive decline. Lifestyle interventions can play an important role in delaying the onset of cognitive decline. Evidence shows both computerized cognitive training (CCT) or exercise can improve cognitive function. However, the effect of CCT on cortical structure is not well understood. This study examines the effect of 8‐weeks of CCT, with or without a preceding exercise bout, on cortical structure in community‐dwelling older adults. Method Structural magnetic resonance imaging (MRI) data acquired from an 8‐week, 3‐arm, proof of concept randomized controlled trial was used. Participants (N = 125) aged 65 – 85 were randomized (1:1:1) to either 8 weeks of 3x/week: 1) Balance and Toned (BAT; active control); 2) CCT; or 3) Exercise + CCT (Ex‐CCT). Measurement occurred at baseline and trial completion (i.e., 8‐weeks). Fifty‐three participants with baseline and trial completion MRI data were included in this analysis. Freesurfer was used to assess BAT vs. CCT, BAT vs. Ex‐CCT, and CCT vs. Ex‐CCT differences in cortical thickness and volume at trial completion, adjusting for age, sex, and Montreal Cognitive Assessment (MoCA) score. Result At trial completion, CCT vs. BAT decreased left rostral middle frontal gyrus volume (cluster size = 553.51 mm2, cluster‐wise p = .027) and left superior temporal gyrus thickness (cluster size = 525.58 mm2, cluster‐wise p = .039). Ex‐CCT vs. BAT increased cortical thickness in the left (cluster size = 900.23 mm2, cluster‐wise p = .001) and right (cluster size = 681.95 mm2, cluster‐wise p = .020) superior parietal gyri. Finally, Ex‐CCT vs. CCT increased left cuneus thickness (cluster size = 1062.12 mm2, cluster‐wise p < .001) as well as right post central gyrus thickness (cluster size = 714.85 mm2, cluster‐wise p = .005) and volume (cluster size = 1030.08 mm2, cluster‐wise p < .001). Conclusion Eight weeks of CCT with exercise is of sufficient duration to induce structural change in the brain. Moreover, exercise may enhance the effect of CCT on cortical grey matter structure vs. CCT alone.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".