SPECT Cerebral Perfusion Patterns in Isolated Cervical Dystonia
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Isolated cervical dystonia is characterized by sustained or intermittent neck movements caused by involuntary muscle contractions, resulting in abnormal movements or postures of cervical areas. We measured altered regional cerebral blood flow (rCBF) in patients with idiopathic cervical dystonia compared to healthy controls and explored the correlation between dystonia severity and rCBF patterns. METHODS: A total of 38 patients with isolated cervical dystonia and 29 healthy controls were recruited. All subjects underwent Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) and Tc-99m HMPAO SPECT; TWSTRS was used to assess the severity of dystonia. rCBF was compared between groups using voxel-wise statistical analyses. Associations between rCBF in significant clusters and TWSTRS scores were examined using linear regression. RESULTS: Compared with controls, patients with cervical dystonia exhibited reduced rCBF in brain regions implicated in sensory processing, motor control, and higher cognitive functions, including the left middle temporal gyrus, right postcentral gyrus, right lingual gyrus, left precuneus, right temporal pole, right middle cingulate gyrus, and right anterior cingulate gyrus. Although reduced rCBF was observed in seven regions, only the right temporal pole showed a significant correlation with TWSTRS motor scores. Reduced rCBF in the right temporal pole negatively correlated with higher TWSTRS scores in dystonia patients. CONCLUSION: The negative correlation between reduced rCBF in the right temporal pole and increased TWSTRS scores highlights a potential association between altered cerebral perfusion and dystonic symptom severity. Understanding these alterations could offer insights into the neurobiological basis of cervical dystonia, aiding targeted therapeutic interventions.
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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 | 0.001 |
| 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".