Evidence map›Paper›PMID 35999810›Full record

ArticleNeurorehabilitation and neural repair2022

The Impact of Cognitive Impairment on Robot-Based Upper-Limb Motor Assessment in Chronic Stroke.

Kevin D Bui, Breanna Lyn, Matthew Roland, Carol A Wamsley, Rochelle Mendonca, Michelle J Johnson

Open access · greenAbstract read
In one paragraph

Article in Neurorehabilitation and neural repair, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Can an Optimal Control Model Capture Tracking Kinematics? Insights from Healthy and Post-Stroke Robot Interactions.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  4. General Purpose Haptic/Biometric-Based Dynamic Difficulty Adjustment for Post-Stroke Upper-Limb Rehabilitation Games.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  5. Towards an Optimal Model of Post-Stroke Sensorimotor Control.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  6. Modeling Post-Stroke Motor Behavior from Structural Lesion Networks: A Preliminary Study with Robot-Based Assessments.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2025
    Article
  7. Article
  8. Article
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 at 4 institutions in 1 country.

Kevin D BuiDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-0361-4521
Breanna LynDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
Matthew RolandLewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
Carol A WamsleyPenn Institute for Rehabilitation Medicine, Philadelphia, PA, USA.
Rochelle MendoncaDepartment of Rehabilitation and Regenerative Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Michelle J JohnsonDepartments of Physical Medicine and Rehabilitation, Bioengineering, and Mechanical Engineering, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USColumbia University · USPenn Center for AIDS Research · USTemple University · US

Funding

Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI DAVID S METZGER · 1999 to 2026
$78.6M
Training Program in Neuroengineering and MedicineT32NS091006 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Brian Litt · 2015 to 2026
$4.1M
NIAID NIH HHS P30 AI045008NINDS NIH HHS T32 NS091006
6 · The paper itself

Abstract

backgroundChronic upper extremity motor deficits are present in up to 65% of stroke survivors, and cognitive impairment is prevalent in 46-61% of stroke survivors even 10 years after their stroke. Robot-assisted therapy programs tend to focus on motor recovery and do not include stroke patients with cognitive impairment.

objectiveThis study aims to investigate performance on the individual cognitive domains evaluated in the MoCA and their relation to upper-limb motor performance on a robotic system.

methodsParticipants were recruited from the stroke population with a wide range of cognitive and motor levels to complete a trajectory tracking task using the Haptic TheraDrive rehabilitation robot system. Motor performance was evaluated against standard clinical cognitive and motor assessments. Our hypothesis is that the cognitive domains involved in the visuomotor tracking task are significant predictors of performance on the robot-based task and that impairment in these domains results in worse motor performance on the task compared to subjects with no cognitive impairment.

resultsOur results support the hypothesis that visuospatial and executive function have a significant impact on motor performance, with differences emerging between different functional groups on the various robot-based metrics. We also show that the kinematic metrics from this task differentiate cognitive-motor functional groups differently.

conclusionThis study demonstrates that performance on a motor-based robotic assessment task also involves a significant visuospatial and executive function component and highlights the need to account for cognitive impairment in the assessment of motor performance.

Indexed as

RoboticsStrokeStroke RehabilitationBiomechanical PhenomenaHumansRecovery of FunctionUpper Extremitycognitive impairmentmotor impairmentneurorehabilitationrehabilitation roboticsstrokeupper limb

Identifiers

PMID35999810
PMCPMC9946708
OpenAlexW4292858667

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.