# Laboratory of Neuro Imaging Resource (LONIR)

> **NIH NIH P41** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2021 · $1,193,086

## Abstract

PROJECT SUMMARY - OVERALL
The LONIR is focused on developing innovative solutions for the investigation of imaging, genetics, behavioral
and clinical data. The LONIR structure is designed to facilitate studies of dynamically changing anatomic
frameworks, e.g., developmental, neurodegenerative, traumatic, and metastatic, by providing methods for the
comprehensive understanding of the nature and extent of these processes. Specifically, TR&D1 (Data Science)
focuses on methodological developments for the management and informatics of brain and related data. This
project will develop and issue new methods for robust scientific data management to create an environment
where scientific analyses can be reproduced and/or enhanced, data can be easily discovered and reused, and
analysis results can be visualized and made publicly searchable. TR&D2 (Diffusion MRI and Connectomics)
seeks to advance the study of brain connectivity using diffusion imaging and its powerful extensions. This project
will go beyond traditional tensor models of diffusion for assessing tissue and fiber microstructure and connectivity,
develop tract-based statistical analysis tools using Deep Learning, introduce novel adaptive connectivity
mapping approaches, using L1 fusion of multiple tractography methods, and provide mechanisms to study
connectivity and diffusion imaging over 10,000 subjects. (This technology and these methods will be managed
and executed by the TR&D1 framework to distributed datasets totaling over 10,000 subjects). Lastly, our TR&D3
(Intrinsic Surface Mapping) develops a general framework for surface mapping in the high dimensional
Laplace-Beltrami embedding space via the mathematical optimization of their Riemannian metric. Our approach
here overcomes fundamental limitations in existing methods based on spherical registration by eliminating the
metric distortion during the parameterization step, thus achieving much improved accuracy in mapping brain
anatomy. Coupled with a mature and efficient administrative structure and comprehensive training and
dissemination, this program serves a wide and important need in the scientific community.

## Key facts

- **NIH application ID:** 10135685
- **Project number:** 5P41EB015922-24
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** PAUL M THOMPSON
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,193,086
- **Award type:** 5
- **Project period:** 1998-09-30 → 2023-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10135685

## Citation

> US National Institutes of Health, RePORTER application 10135685, Laboratory of Neuro Imaging Resource (LONIR) (5P41EB015922-24). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10135685. Licensed CC0.

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