Functional connectivity MRI of the subthalamic nucleus in parkinson's disease
Bibliographic record
Abstract
Objectives To investigate MRI patterns of functional connectivity(FC)in different brain areas of the subthalamic nucleus(STN)in Parkinson’s Disease(PD)and its correlation with cognition. Methods We used functional magnetic resonance imaging to investigate the difference in whole-brain resting-state FC of STN between 32 patients with PD during the medication-ON state and 25 healthy control group(HC)matched for age, gender, and cognition, and examine the correlation between functional connectivity strength and montreal cognitive assessment(MoCA)scores. Results Compared with HC, the PD group showed increased FC in the right lingual gyrus of the left STN and the right STN showed decreased FC in the left superior frontal gyrus and the supplementary motor area(t=4.29, -3.61, and -3.83, respectively, each P<0.05), while the right STN showed only decreased FC in the right bilateral cingulate gyrus and the precuneus(t=-4.44, 4.29, and -4.30, respectively, each P<0.05). In addition, PD patients’connectivity strength between RSTN and the bilateral precuneus was positively correlated with MoCA scores(t=0.58 and 0.57, respectively, each P<0.05). Conclusions Compared with HC, PD patients exhibit decreased FC between RSTN and the precuneus, with FC strength positively correlated with MOCA scores.The cognitive decline caused by deep brain stimulation in STN may be related to injuries of the precuneus. Key words: Parkinson disease; Subthalamic nucleus; Magnetic resonance imaging
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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 | 0.000 |
| 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) | 0.000 | 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".