# Core 2 - Neuroimaging

> **NIH NIH P50** · CALIFORNIA INSTITUTE OF TECHNOLOGY · 2021 · $84,601

## Abstract

Core 2. Project Summary.
The Neuroimaging Core will continue to provide the resources for all MRI studies, and will also
provide the initial neuroimaging data collected under our current Conte Center, as well as
processed data from the Human Connectome Project (HCP) for comparisons. We will be using
imaging sequences similar to those of the HCP in all studies, and this will include multiband
acceleration for all functional imaging, as well as high-resolution T1 and T2 imaging for more
precise surface reconstruction. For functional data, the Neuroimaging Core will provide both
resting-state fMRI, and data from specific functional localizers that we have have established
during our current Conte Center. This Core will also provide expertise on preprocessing,
including implementation of latest developments in multimodal surface matching. As in our
current Conte Center, we will emphasize in-depth characterization of each individual subject and
plan to recruit individuals who can return for multiple visits of testing.
The neuroimaging core has three specific aims: 1. To provide all MRI resources for the Projects.
2. To provide core and comparative neuroimaging data to the Projects. 3. To provide protocol
and analysis solutions, informatics, and data archiving and sharing support.

## Key facts

- **NIH application ID:** 10101680
- **Project number:** 5P50MH094258-10
- **Recipient organization:** CALIFORNIA INSTITUTE OF TECHNOLOGY
- **Principal Investigator:** JULIAN M TYSZKA
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $84,601
- **Award type:** 5
- **Project period:** 2012-07-26 → 2023-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10101680

## Citation

> US National Institutes of Health, RePORTER application 10101680, Core 2 - Neuroimaging (5P50MH094258-10). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10101680. Licensed CC0.

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