# Error-enhanced Learning & Recovery in 2 & 3 Dimensions

> **NIH NIH R01** · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · 2022 · $99,000

## Abstract

ABSTRACT
Treating post-stroke individuals with physical devices (mechanoceuticals) has produced mild but significant
recovery. While clinicians widely recognize that therapy should focus on movement error, there is currently no
“model” of relearning that can inform the design of treatments. We will develop an individualized mathematical
model of each person’s unique response to error that can serve both as a descriptor and a hypothesis for testing
the practice environment to correct the individual’s deficits. Our aims will model and test therapy that focuses on
(1) central tendencies of error, (2) sensory contributions to error, and (3) variations of error. Our anticipated
findings will not only shed light on how to improve therapy, it will test hypotheses about the fundamental
processes of practice and learning. This work will move us closer to our long-term goal of knowing the most
effective treatments, using either therapists or devices.

## Key facts

- **NIH application ID:** 10691705
- **Project number:** 3R01NS053606-12S1
- **Recipient organization:** REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB
- **Principal Investigator:** James Lanphier Patton
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $99,000
- **Award type:** 3
- **Project period:** 2007-07-01 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10691705

## Citation

> US National Institutes of Health, RePORTER application 10691705, Error-enhanced Learning & Recovery in 2 & 3 Dimensions (3R01NS053606-12S1). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10691705. Licensed CC0.

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