Evidence map›Paper›PMID 42807394›Full record

ArticleInternational IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering2025

Modeling Post-Stroke Motor Behavior from Structural Lesion Networks: A Preliminary Study with Robot-Based Assessments.

Reem M Azar, Erica L Waters, Joana Opong-Duah, Pamela Z Cacchione, Michelle J Johnson

Abstract read
In one paragraph

Article in International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering, 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

5 authors.

Reem M AzarPhD student in Bioengineering at the University of Pennsylvania.
Erica L WatersPhD candidate in Mechanical Engineering and Applied Mechanics at the University of Pennsylvania.
Joana Opong-Duahresearch assistant in the Rehabilitation Robotics Lab at the University of Pennsylvania.
Pamela Z CacchioneProfessor of Geropsychiatric Nursing at the University of Pennsylvania School of Nursing.
Michelle J JohnsonAssociate Professor at the University of Pennsylvania with a primary appointment in Physical Medicine and Rehabilitation and secondary appointments in Bioengineering and Mechanical Engineering and Applied Mechanics.

Funding

Training Program in Musculoskeletal ResearchT32AR007132 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Robert L Mauck, LOUIS J SOSLOWSKY · 1986 to 2026
$4.9M
Rehabilitation Using Community-Based Affordable Robotic Exercise Systems (Rehab CARES)R42HD104325 · NICHD · RECUPERO ROBOTICS LLC · PI JOHNSON, ALWYN P., JOHNSON, MICHELLE J. · 2021 to 2023
$1.8M
Leveraging Robot-Based Haptic Dyads to Improve Community-Based Stroke RehabilitationF31HD116597 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Erica Waters · 2024 to 2026
$148k
NIAMS NIH HHS T32 AR007132NICHD NIH HHS F31 HD116597NICHD NIH HHS R42 HD104325
6 · The paper itself

Abstract

There is an urgent need to improve post-stroke rehabilitation, particularly through pragmatic, affordable solutions such as robotic therapy. Understanding the relationship between structural lesion networks and performance on robot-based assessments could provide insights to personalize robot-assisted rehabilitation. In this study, we used elastic net regression to predict robot-task performance from a dataset that includes both arms of 15 chronic stroke participants (

Identifiers

PMID42807394
PMCPMC13618003

What OpenQuestion holds

Textmetadata
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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.