# Modulating cortical inhibitory networks to improve stroke recovery

> **NIH VA IK2** · VETERANS AFFAIRS MED CTR SAN FRANCISCO · 2024 · —

## Abstract

The overarching goal of this project is to identify new targets for neural circuit modulation to
facilitate motor recovery after stroke. To accomplish this, I propose to identify how dynamics in a
specific inhibitory cell network participates in motor learning, investigate how these dynamics are
disrupted by stroke, and test whether their modulation can improve recovery. Completion of this
project will provide me with opportunities to fill key gaps in my current skillset and equip me to
launch an independent research program in the neurophysiology of recovery. I have carefully
designed a career development program to address these training gaps through a combination
of hands-on experimentation, coursework and didactics, and mentorship from an exemplary team
of physician scientists at the San Francisco VA and UCSF. My mentorship team has a strong
record of training and developing young investigators; together with the rich research environment
at the San Francisco VA, I will be well-equipped to accomplish my outlined training goals. The
results from these experiments will lead to publications and pave the way for many important lines
of investigation I will pursue in my own laboratory.

## Key facts

- **NIH application ID:** 10922794
- **Project number:** 5IK2RX004558-02
- **Recipient organization:** VETERANS AFFAIRS MED CTR SAN FRANCISCO
- **Principal Investigator:** Sergio Estevan Arroyo
- **Activity code:** IK2 (R01, R21, SBIR, etc.)
- **Funding institute:** VA
- **Fiscal year:** 2024
- **Award amount:** —
- **Award type:** 5
- **Project period:** 2023-09-01 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10922794

## Citation

> US National Institutes of Health, RePORTER application 10922794, Modulating cortical inhibitory networks to improve stroke recovery (5IK2RX004558-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10922794. Licensed CC0.

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