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Record W4406935655 · doi:10.1097/rct.0000000000001720

Different Imaging Evaluating Performances Between Glymphatic System and Motor Symptoms and Levodopa Responsiveness of Parkinson Disease

2025· article· en· W4406935655 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Computer Assisted Tomography · 2025
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLevodopaParkinson's diseaseDiffusion MRIInternal medicineNuclear medicineGastroenterologyDiseaseMagnetic resonance imagingRadiology

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Parkinson disease (PD) is defined by its unique motor symptoms, where responsiveness to levodopa (L-DOPA) is fundamental for management. Recent research has highlighted a significant relationship between PD symptoms and glymphatic dysfunction. This study endeavors to clarify the connection between glymphatic system functionality and initial motor symptoms in PD, utilizing imaging biomarkers to determine its predictive capacity for L-DOPA responsiveness (LR). MATERIALS AND METHODS: Retrospective study of 86 PD patients with 3.0-T MRI scans (July 2019 to March 2021), assessing the diffusion tensor image analysis along the perivascular space (DTI-ALPS) methods, enlarged perivascular spaces (ePVSs) load, and choroid plexus volume (CPV). Analyzed metrics versus the third part of the Unified Parkinson Disease Rating Scale (UPDRSIII) scores and %LR using linear regression, creating a %LR prediction model for the L-DOPA challenge. Explored relationships with age, sex, Hoehn and Yahr stage, Montreal Cognitive Assessment scores, and Mini-Mental State Examination score. Examined DTI-ALPS index, ePVSs, and CPV interrelations. RESULTS: Pre-L-DOPA, UPDRSIII inversely correlated with DTI-ALPS index ( P =0.049), positively with bilateral basal ganglia ePVSs ( P <0.001). Age-adjusted BG-ePVSs-UPDRSIII link ( P <0.001). Post-L-DOPA, UPDRSIII correlated similarly and CPV was positive. %LR positively linked to DTI-ALPS index ( P <0.001), negatively to BG-ePVSs ( P =0.04), CPV ( P <0.001). Adjusted %LR-DTI-ALPS index positive ( P =0.005), %LR-CPV negative ( P =0.04). DTI-ALPS index, CPV predicted LCT outcomes (%LR ≥33%) with area under the curves 0.78, 0.79; accuracies 86.01%, 81.4%. The combined model area under the curve is 0.82, with an accuracy of 87.2%. Significant linear correlations were observed (CPV-DTI-ALPS, CPV-ePVSs, DTI-ALPS-ePVSs). CONCLUSIONS: A study affirms the link between glymphatic impairment, motor symptoms, and L-DOPA responses in PD. As glymphatic function declines, symptoms worsen, and L-DOPA effectiveness diminishes. The DTI-ALPS index and CPV emerge as potential predictors of PD patient LCT outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.280
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it