Evidence map›Paper›PMID 41446127›Full record

ArticlebioRxiv : the preprint server for biology2025

Pathway Anchored Multimodal Clustering Reveals Circuit Level Signatures in Parkinsons Disease.

Ashwin Vinod, Aditya Sai Ellendula, Shubham Bhardwaj, Aparna Dev, Aaron Dominic, Chandrajit Bajaj

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ashwin VinodDepartment of Computer Science, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-5671-115X
Aditya Sai EllendulaDepartment of Computer Science, The University of Texas at Austin, Austin, TX, USA.ORCID 0009-0007-4549-1957
Shubham BhardwajDepartment of Computer Science, The University of Texas at Austin, Austin, TX, USA.ORCID 0009-0000-4548-1002
Aparna DevDepartment of Computer Science, Amrita Vishwa Vidyapeetham, Coimbatore, India.ORCID 0009-0000-1152-6436
Aaron DominicDepartment of Computer Science, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-5891-4732
Chandrajit BajajDepartment of Computer Science, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-9619-3278

Funding

Deep Learning of Pancreas MRI to Predict Progression of T1D.R03DK129979 · NIDDK · UNIVERSITY OF TEXAS AT AUSTIN · PI VIROSTKO, JOHN MICHAEL · 2021 to 2022
$317k
NIDDK NIH HHS R03 DK129979
6 · The paper itself

Abstract

Parkinson's disease is increasingly understood as a disorder of distributed brain circuits, yet most imaging analyses do not explicitly respect pathway structure. We introduce a pathway-anchored, multimodal clustering framework based on Scalable Robust Variational Compositional Co-clustering (SRVCC) that integrates structural MRI, free-water-corrected diffusion MRI, and DAT-SPECT in anatomically defined circuits. For each pathway, we derive a simple Multimodal Pathway Integrity Score (MPIS) that aggregates

Identifiers

PMID41446127
PMCPMC12724497

What OpenQuestion holds

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Registered trials

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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.