Advanced radiological investigation of levodopa- induced dyskinesia in Parkinson’s disease patients: assessment of blood brain barrier function
Bibliographic record
Abstract
Background: The purpose of this study is to explore changes in blood-brain barrier (BBB) function and volumetry associated with Parkinson’s disease (PD) levodopa-induced-dyskinesia (LID). Methods: Twenty-six PD patients [matched pairs, 13 with LID (LID+) and 13 without (LID-)], performed high resolution 3D FSPGR MRI, applying a novel methodology developed for calculating delayed- enhancement-subtraction-maps, representing BBB function. Segmentation software calculated volumes of pre-determined brain structures and the mean BBB function was calculated for each structure. Comparisons between the LID+ and LID- paired patients and within patient, between the more and less affected hemisphere (MAH, LAH) and correlation tests with lateralized UPDRS motor scores were performed. Results: There were no significant differences in volumetric or BBB map characteristics between the matched LID+ and LID- patients regarding most brain areas except for the inferior parietal cortex (IPC) of the MAH that displayed a higher BBB disruption in LID+ vs. LID- patients. A positive correlation was found with the motor score of the side contralateral to the MAH(r = 0.58, p<0.038) among the LID+ patients. Conclusions: We demonstrated an association between slight BBB disruption in the IPC and LID in patients with PD using a new MRI methodology. As currently there is no known straightforward biological explanation for this positive finding, it might be genuine and novel, or spurious. Further studies to explore BBB functioning in the various stages of PD and its motor complications are needed, as well as further investigation of the IPC clinical importance and correction for epiphenomenon.
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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".