Relationship between finger movement characteristics and voxel-based specific regional analysis systems for Alzheimer’s disease
Bibliographic record
Abstract
Abstract Background Aging is the most significant risk factor of dementia. Alzheimer’s disease accounts for approximately 60%–80% of all dementia cases in elderly individuals. This study aimed to examine the relationship between finger movements and brain function in patients with Alzheimer’s disease, using VSRAD, and explore the relationship between VSRAD and cognitive function (MoCA-J). Methods Patients diagnosed with AD, at the Center for Comprehensive Care and Research on Memory Disorders, were included in the study. The diagnostic criteria were based on the National Institute on Aging-Alzheimer’s Association. Patients were excluded based on set criteria. A finger-tapping device was used for all measurements. Participants performed the following task, in order: non-dominant hand, dominant hand, simultaneously, and alternate hands. Movements were measured for 15 s each. The relationship between distance and output was measured. MRI measurements were performed, after which VSRAD was performed using sagittal section 3D T1-weighted images. The Z-score was used to calculate the degree of atrophy. Pearson’s product-moment correlation coefficient was used to analyze the relationship between the Z-score and mean values of the parameters in the finger-tapping movements. Statistical significance was set at p < 0.05. Results Sixty-two patients were included in the study. Z-scores for MoCA-J analysis, percentage of total brain atrophy in the white matter, and other VSRAD parameters showed varying negative correlations (r = -0. 28, p = 0. 035, r = -0. 31, p = 0. 020, and r = -0. 52, p < 0. 001), respectively. Varying positive correlations between Z-score and the SD of distance rate of velocity peak in extending movements in the non-dominant hand were observed. Conclusion The SD of distance rate of velocity peak in extending movements and the Z-score showed a significant relationship. An association between neuropsychological tests and overall degree of brain atrophy was also observed.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".