# Dissecting Behavioral and Neural Mechanisms of Hand Dexterity after Stroke for Effective Rehabilitation

> **NIH NIH R01** · UNIVERSITY OF GEORGIA · 2024 · $547,110

## Abstract

PROJECT SUMMARY
Following a stroke, hand dexterity does not recover fully for most patients, significantly reducing quality of life.
Optimal and effective assessment and therapies for achieving hand dexterity are currently lacking due, in part,
to limited scientific knowledge of human hand dexterity in health and disease. Hand dexterity hinges on
multiple essential behavioral components embedded in a highly interactive neural circuit. How the behavioral
components interact and how they are supported by descending neural pathways are still unclear. The long-
term goal of this research is to build a predictive model and identify key behavioral and neural principles for
designing targeted therapies to facilitate the reacquisition of hand dexterity to improve quality of life. The
current objective of this project is to investigate behavioral and neural mechanisms of hand dexterity and its
impairment and recovery after stroke. The central hypothesis is that three essential components of hand
function, finger individuation, precision grip, and power grip, largely rely on three distinct control variables,
flexibility, coordination, and strength, and separable descending pathways: direct- and indirect-corticospinal
tract (CST), and reticulospinal tract (RST). The rationale for this project is that directly comparing different
components of dexterity using kinematics/kinetics at the same levels of granularity, combined with the most
advanced measures of descending neural pathway structure and function holds promise in a new model of
hand dexterity. Two specific aims are proposed to test the central hypothesis: 1) characterize effect of stroke
on individuation, precision grip, and power grip; and 2) determine if stroke-related disruption in the structure
and function of three descending neural pathways are associated with three behavioral components. Under
Aim 1, chronic stroke patients and healthy controls’ Individuation and Precision Grip will be directly compared
using isometric forces recorded in high resolution at all ten fingertips in 3D, and their interaction with Power
Grip will be examined. Under Aim 2, high-resolution tractography using diffusion-weighted MRI will be obtained
to assess structural integrity of the three descending pathways. Transcranial magnetic stimulation (TMS)
paired with peripheral nerve stimulation will be used to assess functional involvement of the three pathways
using short-, long-, and extra-long interval modulation of Hoffmann-reflex. Under Aim3, a model will be built to
map severity of impairment in behavioral measures to neurophysiological markers derived from Aim 1&2 to test
the hypothesis that stroke survivors’ direct-, indirect-CST and RST measures will be predictive of individuation,
precision grip, and power grip behaviors, respectively. The proposal is innovative because it reconceptualizes
dexterity by, for the first time, directly assessing essential components of dexterity behaviors and descending
pathways wit...

## Key facts

- **NIH application ID:** 10935977
- **Project number:** 5R01NS130210-02
- **Recipient organization:** UNIVERSITY OF GEORGIA
- **Principal Investigator:** Jing Xu
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $547,110
- **Award type:** 5
- **Project period:** 2023-09-26 → 2028-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10935977

## Citation

> US National Institutes of Health, RePORTER application 10935977, Dissecting Behavioral and Neural Mechanisms of Hand Dexterity after Stroke for Effective Rehabilitation (5R01NS130210-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10935977. Licensed CC0.

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