R01NS107513
Project Grant
Overview
Grant Description
Enigma Parkinson's Initiative: A Global Initiative for Parkinson's Disease - Abstract
Parkinson's disease (PD) is a devastating, progressive neurodegenerative brain disease, with no known cure. The disease afflicts 10 million people worldwide - approximately 1.5 million in the U.S. alone - and approximately 50,000-60,000 new cases are diagnosed annually. Risk factors or interventions are extremely hard to evaluate as we lack objective metrics of how PD affects the brain.
The vast global availability of brain imaging has led to several promising metrics to gauge PD progression in the brain. These include structural changes in the basal ganglia and motor cortex, abnormalities in neural connectivity seen with diffusion MRI (DMRI), and disruptions of the brain's functional synchrony across regions, seen with resting-state functional MRI (fMRI). However, factors that affect disease severity are difficult to discover, as most imaging studies of PD scan less than 100 patients. Additionally, most PD research is conducted in isolated cohorts from the US and Europe, limiting worldwide generalizability. Factors that affect PD progression are hard to verify, leading to a crisis of reproducibility.
Responding to NIH's call for more reproducible studies, here we launch Enigma's Worldwide Parkinson's Initiative. Enigma recently published the largest neuroimaging studies of schizophrenia, bipolar disorder, major depression, epilepsy, and autism spectrum disorder. With Enigma's globally coordinated, highly powered consortium approach, we plan to overcome the crisis of small studies with poor power and reproducibility. By pooling anatomic, diffusion, and resting-state functional MRI metrics from 21 deeply assessed international cohorts - from the US, Brazil, Taiwan, New Zealand, the Netherlands, Italy, Switzerland, South Africa, China, and Russia - we aim to answer the following questions:
1. How does the illness affect the brain's structure, neural connectivity, and functional synchrony?
2. What imaging biomarkers track disease progression and consistently predict clinical outcomes?
3. Do genetic risk loci for PD help predict brain decline?
4. What PD subtypes, or clusters, can imaging identify?
Combining multimodal data from 2,307 patients and 1,264 controls, we will thoroughly evaluate predictors and brain biomarkers in PD. Our aims are to:
1. Evaluate and rank structural, diffusion, and resting-state functional MRI biomarkers of PD worldwide.
2. Evaluate the added value of polygenic risk scores (PRS) in predicting PD brain biomarkers.
3. Predict future functional decline in PD with machine learning, multimodal imaging, and genomics.
We will use genetic data and baseline clinical variables from PD patients and healthy controls across our cohorts to construct an ensemble of models to predict the annual rate of change in combined scores from the Movement Disorder Society—Unified Parkinson's Disease Rating Scale Parts II and III. We will rank the best predictors of decline and assess how robust they are internationally.
By better modeling variance in patient outcomes, our multimodal predictive model will empower PD clinical trials by ranking biomarkers of disease burden and determining the contexts where they are reliable, accurate, and feasible to use.
Parkinson's disease (PD) is a devastating, progressive neurodegenerative brain disease, with no known cure. The disease afflicts 10 million people worldwide - approximately 1.5 million in the U.S. alone - and approximately 50,000-60,000 new cases are diagnosed annually. Risk factors or interventions are extremely hard to evaluate as we lack objective metrics of how PD affects the brain.
The vast global availability of brain imaging has led to several promising metrics to gauge PD progression in the brain. These include structural changes in the basal ganglia and motor cortex, abnormalities in neural connectivity seen with diffusion MRI (DMRI), and disruptions of the brain's functional synchrony across regions, seen with resting-state functional MRI (fMRI). However, factors that affect disease severity are difficult to discover, as most imaging studies of PD scan less than 100 patients. Additionally, most PD research is conducted in isolated cohorts from the US and Europe, limiting worldwide generalizability. Factors that affect PD progression are hard to verify, leading to a crisis of reproducibility.
Responding to NIH's call for more reproducible studies, here we launch Enigma's Worldwide Parkinson's Initiative. Enigma recently published the largest neuroimaging studies of schizophrenia, bipolar disorder, major depression, epilepsy, and autism spectrum disorder. With Enigma's globally coordinated, highly powered consortium approach, we plan to overcome the crisis of small studies with poor power and reproducibility. By pooling anatomic, diffusion, and resting-state functional MRI metrics from 21 deeply assessed international cohorts - from the US, Brazil, Taiwan, New Zealand, the Netherlands, Italy, Switzerland, South Africa, China, and Russia - we aim to answer the following questions:
1. How does the illness affect the brain's structure, neural connectivity, and functional synchrony?
2. What imaging biomarkers track disease progression and consistently predict clinical outcomes?
3. Do genetic risk loci for PD help predict brain decline?
4. What PD subtypes, or clusters, can imaging identify?
Combining multimodal data from 2,307 patients and 1,264 controls, we will thoroughly evaluate predictors and brain biomarkers in PD. Our aims are to:
1. Evaluate and rank structural, diffusion, and resting-state functional MRI biomarkers of PD worldwide.
2. Evaluate the added value of polygenic risk scores (PRS) in predicting PD brain biomarkers.
3. Predict future functional decline in PD with machine learning, multimodal imaging, and genomics.
We will use genetic data and baseline clinical variables from PD patients and healthy controls across our cohorts to construct an ensemble of models to predict the annual rate of change in combined scores from the Movement Disorder Society—Unified Parkinson's Disease Rating Scale Parts II and III. We will rank the best predictors of decline and assess how robust they are internationally.
By better modeling variance in patient outcomes, our multimodal predictive model will empower PD clinical trials by ranking biomarkers of disease burden and determining the contexts where they are reliable, accurate, and feasible to use.
Funding Goals
(1) TO SUPPORT EXTRAMURAL RESEARCH FUNDED BY THE NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE (NINDS) INCLUDING: BASIC RESEARCH THAT EXPLORES THE FUNDAMENTAL STRUCTURE AND FUNCTION OF THE BRAIN AND THE NERVOUS SYSTEM, RESEARCH TO UNDERSTAND THE CAUSES AND ORIGINS OF PATHOLOGICAL CONDITIONS OF THE NERVOUS SYSTEM WITH THE GOAL OF PREVENTING THESE DISORDERS, RESEARCH ON THE NATURAL COURSE OF NEUROLOGICAL DISORDERS, IMPROVED METHODS OF DISEASE PREVENTION, NEW METHODS OF DIAGNOSIS AND TREATMENT, DRUG DEVELOPMENT, DEVELOPMENT OF NEURAL DEVICES, CLINICAL TRIALS, AND RESEARCH TRAINING IN BASIC, TRANSLATIONAL AND CLINICAL NEUROSCIENCE. THE INSTITUTE IS THE LARGEST FUNDER OF BASIC NEUROSCIENCE IN THE US AND SUPPORTS RESEARCH ON TOPICS INCLUDING BUT NOT LIMITED TO: DEVELOPMENT OF THE NERVOUS SYSTEM, INCLUDING NEUROGENESIS AND PROGENITOR CELL BIOLOGY, SIGNAL TRANSDUCTION IN DEVELOPMENT AND PLASTICITY, AND PROGRAMMED CELL DEATH, SYNAPSE FORMATION, FUNCTION, AND PLASTICITY, LEARNING AND MEMORY, CHANNELS, TRANSPORTERS, AND PUMPS, CIRCUIT FORMATION AND MODULATION, BEHAVIORAL AND COGNITIVE NEUROSCIENCE, SENSORIMOTOR LEARNING, INTEGRATION AND EXECUTIVE FUNCTION, NEUROENDOCRINE SYSTEMS, SLEEP AND CIRCADIAN RHYTHMS, AND SENSORY AND MOTOR SYSTEMS. IN ADDITION, THE INSTITUTE SUPPORTS BASIC, TRANSLATIONAL AND CLINICAL STUDIES ON A NUMBER OF DISORDERS OF THE NERVOUS SYSTEM INCLUDING (BUT NOT LIMITED TO): STROKE, TRAUMATIC INJURY TO THE BRAIN, SPINAL CORD AND PERIPHERAL NERVOUS SYSTEM, NEURODEGENERATIVE DISORDERS, MOVEMENT DISORDERS, BRAIN TUMORS, CONVULSIVE DISORDERS, INFECTIOUS DISORDERS OF THE BRAIN AND NERVOUS SYSTEM, IMMUNE DISORDERS OF THE BRAIN AND NERVOUS SYSTEM, INCLUDING MULTIPLE SCLEROSIS, DISORDERS RELATED TO SLEEP, AND PAIN. PROGRAMMATIC AREAS, WHICH ARE PRIMARILY SUPPORTED BY THE DIVISION OF NEUROSCIENCE, ARE ALSO SUPPORTED BY THE DIVISION OF EXTRAMURAL ACTIVITIES, THE DIVISION OF TRANSLATIONAL RESEARCH, THE DIVISION OF CLINICAL RESEARCH, THE OFFICE OF TRAINING AND WORKFORCE DEVELOPMENT, THE OFFICE OF PROGRAMS TO ENHANCE NEUROSCIENCE WORKFORCE DEVELOPMENT, AND THE OFFICE OF INTERNATIONAL ACTIVITIES. (2) TO EXPAND AND IMPROVE THE SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. TO UTILIZE THE SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM, TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH AND DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Marina Del Rey,
California
902926601
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 367% from $675,998 to $3,159,326.
University Of Southern California was awarded
Enigma Parkinson's Initiative: Global PD Imaging Study
Project Grant R01NS107513
worth $3,159,326
from the National Institute of Neurological Disorders and Stroke in September 2021 with work to be completed primarily in Marina Del Rey California United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 9/24/25
Period of Performance
9/1/21
Start Date
8/31/26
End Date
Funding Split
$3.2M
Federal Obligation
$0.0
Non-Federal Obligation
$3.2M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01NS107513
Additional Detail
Award ID FAIN
R01NS107513
SAI Number
R01NS107513-2547686692
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NQ00 NIH National Institute of Neurological Disorders and Stroke
Funding Office
75NQ00 NIH National Institute of Neurological Disorders and Stroke
Awardee UEI
G88KLJR3KYT5
Awardee CAGE
1B729
Performance District
CA-36
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Institute of Neurological Disorders and Stroke, National Institutes of Health, Health and Human Services (075-0886) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,257,452 | 100% |
Modified: 9/24/25