AEROBIC EXERCISE PROMOTES EXECUTIVE FUNCTIONING AND ASSOCIATED FUNCTIONAL NEUROPLASTICITY
Bibliographic record
Abstract
Vascular cognitive ischaemia (VCI) is the second most common type of cognitive dysfunction worldwide and is due to cerebrovascular disease. While targeted aerobic exercise is a promising approach to delay the progression of VCI by reducing cardiometabolic risk factors, few randomized controlled trials to date have specifically assessed the efficacy of aerobic exercise on cognitive and brain outcomes in this high-risk group. Thus, the goal of this secondary analysis study was to examine the effect of moderate-intensity aerobic exercise training on executive functions and functional neural plasticity among older adults with mild subcortical ischaemic vascular cognitive impairment (SIVCI). Seventy-one older adults with mild SIVCI were randomly assigned to: 1) a 6-month, 3x/week aerobic training (AT; n=36) or usual care (CON; n=35). This secondary analysis included 21 (mean age 71.5 years) participants; 10 from AT group and 11 from CON group. All 21 participants completed functional magnetic resonance imaging (fMRI) sessions at baseline and trial-completion. During the fMRI sessions, performance on the Eriksen flanker task and task-evoked neural activity were assessed. At trial completion, after adjusting for baseline MoCA, baseline total white matter lesion volume, and baseline performance, compared with the CON group, the AT group significantly improved flanker task performance. Moreover, compared with the CON, the AT group demonstrated reduced activation in the left lateral occipital cortex and right superior temporal gyrus. Reduced activity in these brain regions was significantly associated with improved (i.e., faster) flanker task performance at trial completion, suggesting aerobic training increased neural efficiency. Thus, aerobic training among older adults with mild SIVCI can improve executive functions and neural efficiency of associated brain areas.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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".