# Structural Connections Core

> **NIH NIH P50** · UNIVERSITY OF ROCHESTER · 2024 · $342,494

## Abstract

Project summary: The goal of Core B (Structural Connections Core) is to provide support for mapping brain
pathways relevant to the OCD network, in non-human primates and human subjects. This involves bridging
between projects to translate information from anatomical tracing studies to neuroimaging studies that utilize
diffusion MRI. The first aim of Core B is to collect diffusion MRI data with very high resolution and signal-to-
noise ratio on post mortem macaque brains that have previously received tracer injections for P1; and to use
these data to determine which of the pathways identified by diffusion tractography are accurate and which are
artifacts due to the inherent limitations of diffusion MRI. The second aim of core B is to use the insights
generated from the aforementioned macaque studies to guide the analysis of diffusion MRI data from human
subjects in P3-5. Core B will provide these projects with optimized data processing pipelines for mapping the
pathways likely to be involved in OCD, with the ultimate goal of investigating how these pathways differ
between patients and healthy controls (P3), and how they are affected by noninvasive or invasive interventions
(P4-5). Core B will advise the projects on all aspects of diffusion MRI data acquisition, quality assurance, and
analyses to reconstruct and characterize bundles of the OCD network.

## Key facts

- **NIH application ID:** 10778641
- **Project number:** 5P50MH106435-08
- **Recipient organization:** UNIVERSITY OF ROCHESTER
- **Principal Investigator:** Anastasia Yendiki
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $342,494
- **Award type:** 5
- **Project period:** 2015-06-01 → 2027-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10778641

## Citation

> US National Institutes of Health, RePORTER application 10778641, Structural Connections Core (5P50MH106435-08). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10778641. Licensed CC0.

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