Evidence map›Paper›PMID 42740219›Full record

ArticleSensors (Basel, Switzerland)2026

Hand Dominance Influences Motor Recovery Trajectories Following Stroke: A Longitudinal Study.

Jennifer Gutterman, Gerard Fluet, Qinyin Qiu, Jigna Patel, Holly Gorin, Kiran K Karunakaran, Karen J Nolan, Emma Kaplan, Ashley Mont, Alma Merians and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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

11 authors.

Jennifer GuttermanDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ 07101, USA.
Gerard FluetDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ 07101, USA.
Qinyin QiuDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ 07101, USA.ORCID 0000-0003-0417-8722
Jigna PatelDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ 07101, USA.
Holly GorinDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ 07101, USA.ORCID 0009-0004-3798-8734
Kiran K KarunakaranKessler Foundation, West Orange, NJ 07052, USA.
Karen J NolanKessler Foundation, West Orange, NJ 07052, USA.
Emma KaplanKessler Foundation, West Orange, NJ 07052, USA.
Ashley MontSchool of Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.ORCID 0000-0002-2062-6663
Alma MeriansDepartment of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ 07101, USA.
Sergei AdamovichDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07015, USA.ORCID 0000-0002-8650-7536

Funding

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual EnvironmentsR01HD058301 · NICHD · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI ADAMOVICH, SERGEI V, MERIANS, ALMA S · 2009 to 2021
$4.7M
Planning and Updating in Frontoparietal Networks for GraspingR01NS085122 · NINDS · RBHS-SCHOOL/ HEALTH RELATED PROFESSIONS · PI ADAMOVICH, SERGEI V, TUNIK, EUGENE · 2014 to 2025
$3.2M
ACL HHS 90RE5021National Institute on Disability, Independent Living, and Rehabilitation Research 90RE5021NICHD NIH HHS R01 HD058301NIH HHS 5R01HD058301-09NIH HHS 5R01NS085122-10NINDS NIH HHS R01 NS085122
6 · The paper itself

Abstract

Stroke often causes persistent upper extremity (UE) motor deficits, affecting reaching and grasping and impacting daily activities. Recovery may depend on whether the dominant or non-dominant hand is affected, a distinction that remains understudied. This pilot study aimed to characterize longitudinal UE recovery post-stroke. Twenty participants post-stroke (ten with the dominant hand affected, ten with the non-dominant hand affected) performed reach-to-grasp-and-lift tasks (1-inch cube, 2.5-inch circular object), plus clinical assessments, five times over six months with the initial testing around 15 days post-stroke (mean = 14.9). Kinematic measurements included Time to Peak Velocity, Time After Peak Velocity, Reach Duration, Reaching Trajectory Smoothness, Path Linearity, and Grasp Duration. Piecewise linear mixed-effects models evaluated longitudinal trends. Clinical measures improved significantly within 45 days post-stroke, while most kinematics improved significantly in the first 30 days but plateaued thereafter. A secondary exploratory analysis examining effects of hand dominance on UE recovery showed significant clinical improvements in both groups, but significant kinematic improvements were only demonstrated in the affected dominant hand group. Findings suggest kinematic improvements may be driven by dominant hand impairment, possibly reflecting motor control differences or greater reliance on the dominant hand. These results highlight the need for targeted rehabilitation strategies tailored to the non-dominant hand's functional role.

Indexed as

Functional LateralityHandRecovery of FunctionStrokeAgedBiomechanical PhenomenaFemaleHand StrengthHumansLongitudinal StudiesMaleMiddle AgedPilot ProjectsStroke RehabilitationUpper Extremityhand dominancekinematicsmotor recoverystrokeupper limb

Identifiers

PMID42740219
PMCPMC13567966

What OpenQuestion holds

Textmetadata
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.