Cardiac 123I-Meta-Iodobenzylguanidine Imaging as a Biomarker for Body-First Parkinson’s Disease: Linking Peripheral α-Synuclein to Clinical Subtyping
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Bibliographic record
Abstract
Recent neuropathological and imaging studies support the concept of "brain-first vs. body-first" Parkinson's disease (PD), which is based on the α-synuclein origin site and connectome model. The body-first phenotype is characterized by early involvement of the peripheral autonomic nervous system, particularly the cardiac sympathetic nerves and enteric nerves. 123I-meta-iodobenzylguanidine (123I-MIBG) myocardial scintigraphy is a well-established method for evaluating cardiac sympathetic innervation. This review explores the potential of 123I-MIBG scintigraphy as a biomarker to differentiate the body-first phenotype from the brain-first phenotype. Reduced 123I-MIBG uptake has been observed in idiopathic rapid eye movement (REM) sleep behavior disorder, pure autonomic failure, and incidental Lewy body disease-conditions strongly associated with prodromal or early-stage PD. Postmortem and biopsy evidence indicates α-synuclein accumulation in cardiac nerves and other peripheral sites, which is consistent with bottom-up progression. α-Synuclein seed amplification assays further corroborate the association between the peripheral α-synuclein burden and reduced 123I-MIBG uptake. While 123I-MIBG myocardial scintigraphy is a promising tool, its limitations include cost, limited availability, and potential confounding from underlying cardiac conditions. Nonetheless, early detection of cardiac sympathetic denervation via 123I-MIBG imaging may enhance diagnosis, support subtype classification, and improve the understanding of PD pathogenesis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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 it