Cortical Functional Connectivity Changes in the Body‐First and Brain‐First Subtypes of Parkinson's Disease
Bibliographic record
Abstract
Abstract Background Rapid eye movement (REM) sleep behavior disorder (RBD) may precede motor symptoms in Parkinson's disease (PD) by years. According to a recent hypothesis, premotor RBD (pRBD) is a marker of the PD body‐first subtype, where synucleinopathy originates from the peripheral autonomic nervous system. Conversely, in the brain‐first subtype, pathology would arise in the brain. Functional connectivity (FC) could provide additional insight into the neurodegenerative process of these putative PD subtypes. Objectives We aim to analyze the possible FC differences between early‐stage PD patients with (PD pRBD+ ) and without (PD pRBD− ) pRBD using high‐density electroencephalography (EEG). Methods We enrolled 28 PD pRBD+ , 35 PD pRBD− , and 35 healthy controls (HC). Data were recorded with a 64‐channel EEG system, and a source‐reconstruction method was used to identify brain‐region activity. FC was calculated using the weighted phase‐lag index in θ, α, β, and low‐γ bands. Statistical analysis was conducted using network‐based statistic. Results We found a significant trend of decreased α‐FC across PD pRBD+ , PD pRBD− , and HC, mainly in prefrontal and temporal areas. The altered α‐FC correlated with Montreal Cognitive Assessment scores in PD pRBD+ and, to a lesser extent, PD pRBD− and with gait/postural disturbances in PD pRBD+ patients only. PD pRBD+ and PD pRBD− had similarly increased FC than HC in a β band network, predominantly involving sensorimotor and limbic areas. The increased β network FC was related to bradykinesia severity in both PD subgroups. Conclusions Compared to PD pRBD− (brain‐first subtype), PD pRBD+ group (body‐first subtype) demonstrates specific EEG‐FC dysfunctions in the α band, which may reflect early involvement of the cholinergic ascending system. © 2024 International Parkinson and Movement Disorder Society.
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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".