Neural Mechanisms of Object Location Memory in Huntington's Disease
Bibliographic record
Abstract
BACKGROUND: Object-location memory impairment in Huntington's disease (HD) occurs from premanifest period and declines as HD progresses, however, pathogenesis of object-location memory is unknown. The striatum and hippocampus are affected in HD, functionally interacting allowing intact object-location memory. OBJECTIVES: The present study investigated if object location memory impairment in premanifest and manifest HD was associated with aberrations in effective connectivity between striatum and hippocampal formation. METHODS: Using dynamic causal modelling, we examined effective connectivity between the striatum and hippocampus and association with object-location memory in 35 HD participants (23 premanifest, 12 early manifest) and 32 controls. RESULTS: HD participants' object-location memory was worse than controls, with performance associated with aberrant effective connectivity from the striatum to hippocampal formation, lower connectivity was associated with poorer object-location memory. Connectivity from hippocampal formation to the striatum was lower in manifest HD. In premanifest HD, connectivity from parahippocampal gyrus to the striatum was stronger and associated with better object-location memory. CONCLUSIONS: Findings raise questions regarding compensatory neural processes in HD and other neurodegenerative diseases, providing pathophysiological evidence that cognitive impairment may be related to connectopathy. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".