ArticleQuantitative imaging in medicine and surgery2026
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Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Two major motor subtypes are widely recognized in Parkinson's disease (PD): tremor-dominant (TD) subtype and the postural instability-gait difficulty (PIGD) subtype. These distinct clinical phenotypes imply divergent underlying neural mechanisms. This study aimed to investigate the neural correlates of TD and PIGD subtypes using multiparametric analysis with hybrid positron emission tomography/magnetic resonance (PET/MR) and two tracers: [ Methods: A total of 42 patients with PD (22 TD, 20 PIGD) and 27 healthy controls (HCs) were enrolled. Analysis of variance (ANOVA) and post hoc tests were performed to compare presynaptic dopaminergic function, cerebral glucose metabolism, and gray matter volume (GMV) across groups. Correlation analyses further explored relationships between imaging metrics and Movement Disorder Society-Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS-III) scores. Receiver operating characteristic (ROC) curves were plotted. Results: Relative to TD-PD patients, PIGD-PD patients showed significantly lower [ Conclusions: TD-PD and PIGD-PD exhibit distinct patterns of presynaptic dopaminergic dysfunction, cerebral hypometabolism, and gray matter atrophy. These neuroimaging differences may partially account for the divergent clinical manifestations between the two motor subtypes, Multimodal integration achieved excellent discrimination.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.