SUBCORTICAL CONTRIBUTION TO SALIENCE NETWORK FUNCTION ACROSS NEURODEGENERATIVE DISEASES
Bibliographic record
Abstract
Social cognition is impacted early in the disease progression of many neurodegenerative diseases (NDs). The Salience network (SN) is an intrinsically connected brain network most implicated in social cognitive function. Our aim was to investigate the relative contribution of cortical and subcortical structures of the SN and their relationship to behavioural measures of social cognition. We measured SN functional connectivity and behavioural measures in 76 subjects with NDs [21 Alzheimer’s disease, 13 behavioural variant frontotemporal dementia, and 42 Parkinson’s disease]. Our results indicate more contribution of subcortical structures of the SN, than cortical to social cognition-related functional connectivity across various NDs. Despite previous associations with cortical regions, we provide evidence that alterations in subcortical structure functional connectivity may mediate changes in social cognition. Further exploration in larger cohorts is necessary to discern differences in subcortical SN functional connectivity across groups.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".