# CRCNS: Community-supported open-source software for computational neuroanatomy

> **NIH NIH R01** · TRUSTEES OF INDIANA UNIVERSITY · 2020 · $173,425

## Abstract

Different parts of the brain share and transmit Information through long-range connections that 
connect nerve cells in each part of the brain with nerve cells in other brain areas. These 
connections form bundles of nerve cells,  and these bundles comprise a complex and expansive 
network within the human brain.
Understanding these brain networks and their relation to the way that the brain Implements 
perception and cognition, and understanding how these networks break down In various brain 
disorders are major challenges In contemporary neuroscience. Diffusion Magnetic Resonance Imaging 
(dMRI) is the only currently available method to measure these connections In the living human 
brain non-invasively. The DIPY (Diffusion imaging in Python) project Is an International 
community-based effort to implement
open-source software for analysis and Interpretation of dMRI data. The research and development 
work proposed here aims to expand the development work in DIPY, and to help share this work more 
widely with the community of researchers that use dMRI In their research. The project proposes to 
Implement and share new algorithms for analysis of dMRI data, and to share several important new 
datasets that will serve as benchmarks for ongoing methods development;  it will support the 
development of software tools for cloud-computing with these data and it will facilitate the 
participation of a global community of scientists in the development of the software. 
Furthermore, it will support its wide dissemination to relevant research and enable 
computation on large datasets.

## Key facts

- **NIH application ID:** 9912156
- **Project number:** 5R01EB027585-03
- **Recipient organization:** TRUSTEES OF INDIANA UNIVERSITY
- **Principal Investigator:** Eleftherios Garyfallidis
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $173,425
- **Award type:** 5
- **Project period:** 2018-08-01 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9912156

## Citation

> US National Institutes of Health, RePORTER application 9912156, CRCNS: Community-supported open-source software for computational neuroanatomy (5R01EB027585-03). Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/grant/nih/9912156. Licensed CC0.

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