# Impact of altered sensorimotor experience in robotic training on adaptation of hand muscle coordination of stroke survivors

> **NIH NIH R15** · CATHOLIC UNIVERSITY OF AMERICA · 2024 · $436,797

## Abstract

Abstract
Significant functional impairment of the hand is commonly observed following stroke. Robot-assisted training of
the hand can help stroke survivors practice complex multi-degrees-of-freedom movements of the hand, but it
remains mostly unknown how training conditions affects coordination patterns of the muscles producing hand
movements; such changes are critical in restoring hand function of stroke survivors after the training. The
overall hypothesis of this proposal is that the adaptation of the hand muscles during assisted training, even for
the same type of task, will be significantly affected by the assistance dynamics, sensory feedback, and task
condition.
The goal of this proposal is to examine the impact of the following three conditions of robot-assisted training on
the motor adaptation of the three hand muscle groups (extrinsic extensor, extrinsic flexor, and intrinsic
muscles) of stroke survivors. We will investigate: (1) whether two widely-used assistance mechanisms (end-
effector vs. exoskeleton) induce different patterns of changes in the extrinsic and intrinsic hand muscle
coordination; (2) if sensory modulation of distal and proximal finger joint movements results in different
changes in the muscle coordination; and (3) whether the dynamics of the task performed (static vs. dynamic)
affect these muscle groups differently when assisted.
The proposed study will elucidate the important, but currently not well-understood aspects of robot-assisted
training outcomes, i.e., how altered sensorimotor experience affects motor adaptation of stroke survivors at
their muscle level. We will use a novel robotic setup and virtual-reality technologies to alter sensorimotor
inputs/outputs associated with finger movements of stroke survivors. The results will provide vital information
regarding how the key aspects of robot-assisted training (assistance, feedback, and task dynamics) should be
designed to effectively restore impaired muscle coordination of the hand. In the long term, these outcomes will
lead to therapeutic approaches to restoring hand function of stroke survivors even after the training is
completed.
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## Key facts

- **NIH application ID:** 10796252
- **Project number:** 1R15HD114052-01
- **Recipient organization:** CATHOLIC UNIVERSITY OF AMERICA
- **Principal Investigator:** Sang Wook Lee
- **Activity code:** R15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $436,797
- **Award type:** 1
- **Project period:** 2024-06-01 → 2027-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10796252

## Citation

> US National Institutes of Health, RePORTER application 10796252, Impact of altered sensorimotor experience in robotic training on adaptation of hand muscle coordination of stroke survivors (1R15HD114052-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10796252. Licensed CC0.

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