The Structure and Resting State Functional Magnetic Resonance Findings in Patients with Non-Dementia Vascular Cognitive Impairment
Bibliographic record
Abstract
Objective To assess the value of the structure and resting state functional magnetic resonance in studying non-dementia vascular cognitive impairment( VCIND). Methods A total of 47 patients with cerebral small vessel diseases,who were comparable in age,gender,education level,were collected. After evaluation with the clinical dementia criterion and other cognitive scale,21 patients were enrolled into VCIND group,and 26 cases with normal cognitive function were classified in the control group. Using SIEMENS 3. 0T superconducting MR scanner,high resolution structure images were obtained and resting state functional magnetic resonance data were colleted. By using voxel-based morphometry( VBM) and amplitude of low frequency fluctuation( ALFF) analysis method,the brain structures and the brain activity changes were compared between the two groups. The correlation between ALFF statistical map and the clinical scale score in VCIND group was analyzed. Results Through aphasim correction,the volume of the gray matter in the left inferior temporal gyrus and parahippocampal gyrus in VCIND group was significantly reduced when compared with that in the control group( P 0. 05). Compared with the control group,ALFF in VCIND group was decreased in medial prefrontal cortex and inferior frontal gyrus,while it was increased in bilateral cerebellum,and the differences were statistically significant( P 0. 05). After regression of the gray matter volume,ALFF changes in VCIND group were similar to the previous changes,i. e. the reduction of ALFF appeared in the left middle frontal gyrus,and the difference was statistically significant( P 0. 05). In VCIND group close correlation existed between ALFF statistical brain maps and multiple clinical scale scores, and the differences were statistically significant( P 0. 05). Conclusion Compared with the control group,in patients with non-dementia vascular cognitive impairment the brain gray matter atrophy is present only in small parts of the brain. The cognitive function impairment in patients with vascular cognitive impairment may be related to the damaged prefrontaland subcortical loop,and gray matter atrophy has little effect on cerebral dysfunction. Both VBM and ALFF play an important value in making early diagnosis of vascular cognitive impairment.
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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 | 0.000 |
| 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".