Volumetric and Diffusion Abnormalities in Subcortical Nuclei of Older Adults With Cognitive Frailty
Bibliographic record
Abstract
Background Previous studies have revealed the degeneration of subcortical nuclei may contribute to neuropathological changes in the process of cognitive impairment. But it is unclear in cognitive frailty. The aim of this study is to investigate the changes of subcortical nuclei in older adults with cognitive frailty and their relationship with cognition decline and physical frailty. Methods A total of 26 older adults with cognitive frailty and 26 matched healthy subjects were enrolled. The cognitive function and physical frailty were assessed by using Montreal Cognitive Assessment (MoCA) scale (Fuzhou version) and Chinese version of Edmonton Frailty Scale(EFS). Volume and DTI parameters of subcortical nucleus were measured by using structural and diffusion tensor imaging brain MRI, and were compared between groups. Partial correlation analysis were conducted between subcortical nucleus volume, MoCA scores, and physical frailty indexs. Results Significant volume reduction was found in five subcortical nucleus including bilateral thalamus, left caudate, right pallidum and accumbens-area in older adults with cognitive frailty (P<0.05), and bilateral thalamus was most obvious. Decreased FA and RA values were observed only in the left thalamus in the CF group (P<0.05). No group differences were found in ADC value. MoCA scores was positively correlated with the volume of bilateral thalamus, right pallidum and accumbens area (P<0.05). While a negative correlation was found between physical frailty index and the volume of bilateral thalamus, caudate, pallidum and right accumbens area (P<0.05). Conclusion The microstructural changes occur in the subcortical nuclei of older adults with cognitive frailty, and these changes are correlated with cognition decline and physical frailty. Therefore the microstructural atrophy of the subcortical nuclei may involve in the pathological progression of cognitive frailty.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".