# AI/ML-Readiness for Neuroimaging of Language

> **NIH NIH R01** · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · 2021 · $287,390

## Abstract

Project Summary/Abstract
Conceptual or semantic knowledge refers to information about objects, actions, relations, self, culture, and
includes meanings of words and phrases. The use of this knowledge is pervasive and automatic in daily life.
Everyday activities such as communication, recognition and use of objects, social interactions, and decision
making are crucially reliant on conceptual knowledge. Impairment of this complex and widely distributed
system has serious consequences for quality of life. Several neurological and psychiatric disorders are
associated with the impairment of this system, including stroke with aphasia, dementias, temporal lobe
epilepsy, schizophrenia, and autism. Understanding the structure and organization of this system, and the
specific ways it is disrupted in these individuals, is critical for developing better treatments and rehabilitation
strategies. The goal of this research is to understand the structure and use of this information, its neural basis,
and the ways in which it can be impaired by neuropathology. This project pertains to three neuroimaging
datasets — two functional MRI and one from stroke survivors — that speak to the neural basis of concepts and
language processing in the brain. We aim to transform these data and associated metadata to a “machine
learning ready” format and make them easily accessible. This will enable application of powerful modern
machine learning techniques, such as Deep Learning, for their analysis. We expect that these analyses will
shed new light on the organization and function of this core semantic region in the healthy and impaired brain.

## Key facts

- **NIH application ID:** 10412576
- **Project number:** 3R01DC017162-02S1
- **Recipient organization:** UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
- **Principal Investigator:** Rutvik H Desai
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $287,390
- **Award type:** 3
- **Project period:** 2020-05-15 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10412576

## Citation

> US National Institutes of Health, RePORTER application 10412576, AI/ML-Readiness for Neuroimaging of Language (3R01DC017162-02S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10412576. Licensed CC0.

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