SPCR-05 ENVIRONMENTAL ENRICHMENT AMONG BRAINTUMOR SURVIVORS
Bibliographic record
Abstract
Abstract Individuals from underserved communities who received photon radiation are at a disproportionately increased risk of accelerated aging and symptom burden that significantly impacts independence and overall functioning. There is limited knowledge of environmental factors that mitigate these long-term sequelae. The aim of the study is to explore if higher levels of environmental enrichment (EE) are neuroprotective against accelerated brain aging experienced by brain tumor (BT) survivors who received radiation. METHODS: The study employed a retrospective cohort design among persons with low-grade glioma treated with radiation approximately 5 years from the original diagnosis (N=39). EE consists of social network/engagement, physical activity, and employment status/financial stability measured by the Berkman-Syme Social Network Index, International Physical Activity Questionnaire, Vocational Index Scale, and Socioeconomic Questionnaires, respectively. EE at enrollment is classified into high, moderate, or low levels. Montreal Cognitive Assessment and Symbol Digit Modality Test at enrollment measure cognitive function. Karnofsky Performance Status Scale and the MD Anderson Symptom Inventory – BT module at enrollment are used to measure functional status. Cortical volume is measured using temporal brain MRI images from the time of diagnosis, 3 and 5 years after diagnosis. Images are processed using FreeSurfer segmentation software. Linear mixed models will estimate mean cerebral atrophy and explore the association to cognitive and functional data across time adjusted for covariates. RESULTS: Research analysis in progress. Thirty-nine participants have been enrolled in the study. The median age is 44, 22 are male, and 27 are female. There are 18 Individuals diagnosed with Astrocytoma and 19 with Oligodendroglioma. Thirty-three percent of individuals have low EE, 43.5% have moderate EE, and 23% have high EE. CONCLUSION: BT survivors are at an increased risk of accelerated aging and progressive neurological decline. EE may serve as a positive stimulation that improves neuroplasticity and reduces accelerated aging after brain radiation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".