Structural brain markers are differentially associated with neurocognitive profiles in socially marginalized people with multimorbid illness.
Bibliographic record
Abstract
OBJECTIVE: The authors examined associations between complementary fronto-temporal structural brain measures (gyrification, cortical thickness) and neurocognitive profiles in a multimorbid, socially marginalized sample. METHOD: Participants were recruited from single-room occupancy hotels and a downtown community courthouse (N = 299) and grouped on multiple neurocognitive domains using cluster analysis. Subsequently, the authors evaluated whether the fronto-temporal brain indices, and proxy measures of neurodevelopment and acquired brain insult/risk exposure differentiated members of the 3 distinct neurocognitive clusters. RESULTS: Greater frontal and temporal gyrification and more proxies of aberrant neurodevelopment were associated with the lowest functioning neurocognitive cluster (Cluster 3). Further, for older participants (50+ years), increased cortical thickness in frontal regions was associated with the higher functioning neurocognitive cluster (Cluster 1). Finally, the greatest acquired brain insult/risk exposure was associated with the cluster characterized by selective decision-making impairment (Cluster 2). CONCLUSIONS: Fronto-temporal structural brain indices, and proxies of neurodevelopment and acquired brain insult/risk exposure were differentially associated with neurocognitive profiles in socially marginalized persons. These findings highlight the unique pathways to neurocognitive impairment in a heterogeneous population and help to clarify the vulnerabilities confronted by different subgroups. (PsycINFO Database Record
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".