MétaCan
Menu
Back to cohort
Record W4416775695 · doi:10.3389/fmed.2025.1674718

The left DTI-ALPS index: a potential glymphatic mediator of cognitive and motor dysfunction in Parkinson’s disease

2025· article· en· W4416775695 on OpenAlexaboutno aff
Yanyan Li, Jian Song, Yuqing Zhao, Ming Li, Xiaoyan Zhou, Zhen Zhang, Wei Wei, Xiehua Xue

Bibliographic record

VenueFrontiers in Medicine · 2025
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsnot available
FundersState Administration of Traditional Chinese Medicine of the People's Republic of China
KeywordsGlymphatic systemCognitionDiseaseMediatorMotor dysfunctionWhite matter

Abstract

fetched live from OpenAlex

Introduction This study employed the Diffusion Tensor Imaging Along the Perivascular Space (DTI-ALPS) index to evaluate glymphatic function in patients with Parkinson’s disease (PD) and investigated its association with cognitive and motor functions. Methods Clinical data from the PD group ( n = 64) and the healthy control group (HC, n = 30), matched for age, sex, and education years, were included. Based on Montreal Cognitive Assessment (MoCA) scale, PD patients were further categorized into subgroups. All participants underwent DTI scan and scale assessments. Results Compared with the HC group, the PD group exhibited increased diffusivity of both the left projection (Dzzproj) and association fibers (Dzzassoc) along the z -axis ( p < 0.05) and a reduced left DTI-ALPS index ( p < 0.05). The left Dzzproj was negatively correlated with MoCA score ( r = −0.299, p = 0.024, q = 0.048). The left Dzzassoc was negatively correlated with MoCA score ( r = −0.280, p = 0.035, q = 0.035), and Movement Disorder Society-Unified Parkinson’s Disease Rating Scale III (MDS-UPDRS III) score ( r = 0.333, p = 0.011, q = 0.022). The left DTI-ALPS index showed positive correlations with MoCA score ( r = 0.350, p = 0.008, q = 0.015) and a negative correlation with MDS-UPDRS III score ( r = −0.322, p = 0.015, q = 0.015). Within the PD subgroup analysis, when compared to the HC group, and throughout the progression from PD with cognition normal (PDCN) to PD with dementia (PDD), left Dzzproj ( F = 10.240, P < 0.001), and left Dzzassoc ( F = 11.060, p < 0.001) all demonstrated a stepwise increasing trend. Conversely, the MoCA total score ( F = 259.985, P < 0.001) and the left DTI-ALPS index ( F = 11.060, P < 0.001) exhibited a stepwise decreasing trend. Mediation analysis revealed that the left DTI-ALPS index mediated the effect of MoCA scores on MDS-UPDRS III scores. Conclusion Abnormalities in the left DTI-ALPS index and diffusivity reflect underlying glymphatic system (GS) dysfunction and white matter microstructural damage in PD patients. These neuropathological changes are significantly associated with, and collectively contribute to, the progression of motor and cognitive decline. Furthermore, the left DTI-ALPS index shows promise as a novel biomarker for identifying cognitive impairment in PD patients.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.246
Teacher spread0.238 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in MedicineSame topicCerebrospinal fluid and hydrocephalusFrench-language works237,207