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USC Mark & Mary Stevens Neuroimaging and Informatics Institute

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uuid004n91t

Namestring
USC Mark & Mary Stevens Neuroimaging and Informatics Institute
Legal namestring
University of Southern California
Websiteurl
ini.usc.edu
Company typeenum
Private
Founded yearint
2013
Descriptiontext

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) is a non-profit academic research institute within the University of Southern California's Keck School of Medicine, founded in 2013 and headquartered in Stevens Hall of Neuroimaging on the USC Health Sciences Campus in Los Angeles. INI applies advanced imaging and information technologies to map brain structure and function, comprising four specialized centers: the Laboratory of Neuro Imaging (LONI), the Imaging Genetics Center (IGC), the Center for Image Acquisition (CIA), and the Center for Integrative Connectomics (CIC). The institute operates one of the world's largest neuroimaging data resources, with scans from over 50,000 subjects across 125+ studies, and serves as the operational hub of the ENIGMA Consortium, a worldwide network of 900+ scientists from 40 countries running 50+ working groups on brain disorders including schizophrenia, bipolar disorder, depression, PTSD, Alzheimer's, and Parkinson's.

INI's technology stack spans ultra-high-field MRI (a 3T Siemens Magnetom Prisma and the first ACR-accredited 7T Siemens Magnetom Terra), proprietary analysis tools (ENIGMA-Shape, autoMATE, PyRPL, NiftyTorch, Connectome Evaluation Tools), data platforms (ADNI, PPMI, GAAIN, DABI, BD2K, COVID-ARC), visualization and VR applications (Schol-AR, Virtual Brain Segmenter, REINVENT), and a federally regulated clinical product (FDA 510(k)-cleared CT perfusion software). Its business model is grant-funded: revenue flows primarily through competitive NIH and federal grants (NIA, NINDS, BRAIN Initiative, NSF), foundation awards (Michael J. Fox Foundation, BrightFocus, Chan Zuckerberg Initiative, Milken/Baszucki), and philanthropic donations supporting endowed chairs and research projects. Data and tools are distributed free to the global research community under the LONI Research License, with commercial licensing handled separately. The institute also operates the Master of Science in Neuroimaging and Informatics (NIIN) program and the ENIGMA-U online school to train the next generation of neuroimaging scientists.

Short descriptiontext

INI is a non-profit academic research institute at USC's Keck School of Medicine that operates four neuroimaging centers and the ENIGMA Consortium (900+ scientists, 40 countries), managing brain scan data from 50,000+ subjects and funding its operations primarily through NIH grants, foundation awards, and philanthropy.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersLos Angeles, United States
HQ citystring
Los Angeles
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
neuroimaging research, brain mapping, medical imaging informatics, neuroimaging genetics, academic neuroscience research
Industry4 codes
1Medical Imaging AI
CodeHDAAAEAHPrimaryYes
2Microscopy, Imaging & Flow Cytometry Instruments
CodeHLAGAIAEPrimaryNo
3Cognitive & Behavioral Neurology (Dementia/Memory Disorders)
CodeHLAKAIAHPrimaryNo
4Epilepsy & Seizure Disorders
CodeHLAKAIABPrimaryNo
NAICS code2 codes
  • Scientific Research and Development Services5417
  • Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)541715
SIC code2 codes
  • Services-Commercial Physical & Biological Research8731
  • Services-Engineering, Accounting, Research, Management8700
Product category
Academic Neuroimaging and Brain Mapping Research
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model4 records
1NIH and Government Research Grants
TypeOthers
Description

Primary funding source through competitive grant applications to National Institutes of Health and other federal agencies for neuroimaging research, data infrastructure, and training programs.

ini.usc.edu
2Foundation and Private Research Funding
TypeGrants Donations
Description

Funding from foundations including Michael J. Fox Foundation (PPMI study), BrightFocus Foundation, and private donors for specific research initiatives.

ini.usc.edu
3Data and Resource Licensing
TypeLicensing Royalties
Description

Non-commercial research use of atlases and data resources provided at no charge; commercial licensing available through separate agreements.

ini.usc.edu
4Philanthropic Donations
TypeGrants Donations
Description

Support through giving opportunities including naming endowed chairs, professorships, scholarships, and research project funding.

ini.usc.edu
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components6 values
Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales, Others
Pricing details1 tier
1Non-commercial Research License - Free
ModelFreemiumBilling cadenceOthers
Notes

Permission granted to use atlases without charge for non-commercial, IRB-approved research purposes only. Must duplicate all original copyright notices.

ini.usc.edu
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

INI applies innovative imaging and information technologies to the study of the brain, operating four specialized research centers (LONI, IGC, CIA, CIC) and the worldwide ENIGMA imaging genetics consortium. The institute provides advanced neuroimaging data archives and analysis software (including Schol-AR, NiftyTorch, ENIGMA-Shape, PyRPL, and autoMATE), conducts research on neurodegenerative and psychiatric disorders, runs ultra-high-field 7T MRI scanning, and delivers training through the NIIN Master's program and ENIGMA-U online school for the global neuroscience community.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • Largest neuroimaging genetics study - 306 genetic variants discovered in 50,000+ people
+2 more records
Product overview1 text field

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) operates as a research institute with four specialized centers (LONI, IGC, CIA, CIC) focused on mapping brain structure and function through imaging and information technologies. The institute offers research data platforms including the ENIGMA Consortium, ADNI, GAAIN, PPMI, and DABI for large-scale neuroimaging data sharing; software tools including Schol-AR (AR application for scientific publications), ENIGMA-Shape (brain morphometry analysis), PyRPL (image registration), autoMATE (tract extraction), and NiftyTorch (deep learning library); VR applications like the Virtual Brain Segmenter and REINVENT stroke rehabilitation; and educational programs including the NIIN Master's degree and ENIGMA-U online school. The institute also operates advanced MRI facilities including a 7T scanner. The portfolio spans data infrastructure, analytical software, visualization tools, and training programs serving the global neuroscience research community.

Product and service18 records
1Center for Image Acquisition (CIA) MRI Scanning Services
CategoryNeuroimaging Facility Services
2ENIGMA Consortium Research Platform
CategoryResearch Consortium Platform
3Parkinson's Progression Markers Initiative (PPMI) Data Platform
CategoryData Platform
4Alzheimer's Disease Neuroimaging Initiative (ADNI) Data Archive
CategoryData Platform
5Data Archive for the BRAIN Initiative (DABI)
CategoryData Platform
6Global Alzheimer's Association Interactive Network (GAAIN)
CategoryData Platform
7COVID-ARC Data Archive
CategoryData Platform
8NIIN Master of Science in Neuroimaging and Informatics Program
CategoryEducational Program
9ENIGMA-U Online School
CategoryEducational Program
10Schol-AR Augmented Reality Application
CategorySoftware Application
11NiftyTorch Deep Learning Library
CategorySoftware Library
12ENIGMA-Shape Brain Morphometry Pipeline
CategorySoftware Tool
13PyRPL Python Registration Prototyping Library
CategorySoftware Library
14autoMATE Multi-Atlas Tract Extraction Pipeline
CategorySoftware Tool
15Connectome Evaluation Tools
CategorySoftware Tool
16Virtual Brain Segmenter (VBS)
CategorySoftware Application
17REINVENT VR Stroke Rehabilitation Platform
CategorySoftware Application
18CT Perfusion Software (KWIA)
CategoryClinical Software Product
Scale indicator9 records

Each record includes

Type, Value, Description, Source

Partnership12 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2018-01-01
Description

Five-year multisite collaboration to define and classify neural cell types in the mouse brain. Hong-Wei Dong and INI received $19 million to build on the Mouse Connectome Project by studying neuroanatomy, connectivity and transcriptomes of brain cells.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2014-01-01
Description

Landmark longitudinal biomarkers study following more than 1,000 research participants in 33 clinical sites worldwide. INI stores all project data, which now includes RNA sequencing data and information from more than 50,000 additional subjects across 125 different studies.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Worldwide imaging genetics consortium co-founded by INI's Paul Thompson, uniting over 900 scientists from 40 countries. The consortium conducts large-scale studies of the brain in health and disease across 50+ working groups, analyzing brain and genomic scans from thousands of research participants.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Big Data for Discovery Science Center unites experts in biomedical imaging, genetics, proteomics, and computer science. BDDS provides training seminars and access to its Knowledge Discovery Interface for researchers.

5Alzheimer's Disease Neuroimaging Initiative (ADNI)
Strategic tierCoreTypeStrategic or Co-development Partner
Description

15+ year longitudinal multicenter public-private partnership developing clinical, imaging, genetic and biochemical biomarkers for early detection and tracking of Alzheimer's disease. INI hosts and manages the ADNI data archive.

ini.usc.edu
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Revolutionary federated data platform pooling and sharing Alzheimer's disease data from multiple institutions. GAAIN provides analysis tools and enables researchers to find data while protecting privacy of subjects and data collectors.

7Mouse Connectome Project
Strategic tierCoreTypeStrategic or Co-development Partner
Description

NIH-funded project creating a connectivity atlas of the mouse brain, mapping neural networks and investigating communication between brain regions. Led by Hong-Wei Dong at CIC.

ini.usc.edu
8Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx)
Strategic tierCoreTypeStrategic or Co-development Partner
Description

International multicenter collaborative effort to understand and treat epilepsy by studying animals and patients with traumatic brain injury. INI contributes informatics and analytics expertise.

ini.usc.edu
9Data Archive for the BRAIN Initiative (DABI)
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Shared repository for invasive neurophysiology data collected by NIH BRAIN Initiative researchers. $5.38 million NIH award to Toga and Duncan for building the archive to store, organize, disseminate, analyze and visualize human invasive neurophysiology data.

ini.usc.edu
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Cross-school collaborations including Keck School of Medicine, Viterbi School of Engineering, Suzanne Dworak-Peck School of Social Work, and others for interdisciplinary neuroscience research.

Strategic tierStrategicTypeStrategic or Co-development Partner
Description

Newly launched center where Paul Thompson co-leads research project on secure machine learning technologies, one of five funded projects focusing on privacy, security, and trustworthiness of ML.

12Center for Neuronal Longevity
Strategic tierStrategicTypeStrategic or Co-development Partner
Description

Multi-disciplinary team including Mark Humayun, Gianluca Lazzi, and Arthur W. Toga tackling neurodegenerative diseases of the eye and brain, building on FDA-approved retinal implant success.

ini.usc.edu
Recent move2 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Non-profit medical research organization focused on large-scale brain mapping, atlas creation, and open neuroscience data resources, with comparable funding mix (philanthropy, government) and similar role in producing foundational datasets and tools for the global neuroscience community.

TypeDirect peer
Description

European academic research institute operating advanced MRI and MEG imaging facilities for cognitive and clinical neuroscience, with a similar model of government-funded research, neuroimaging tool development, and large cohort studies.

TypeDirect peer
Description

Harvard/MGH/MIT-affiliated neuroimaging center operating ultra-high-field MRI scanners, developing analysis tools, and running large-scale multi-site studies; competes with INI for NIH funding, top faculty, and consortium leadership in brain mapping.

4Human Connectome Project (WU-Minn / HCP)
TypeEmerging player
Description

NIH-funded multi-site consortium producing large-scale brain connectivity datasets and analysis pipelines; partial overlap with INI's connectomics work (CIC) and shared role in shaping open neuroimaging data infrastructure.

5German Center for Neurodegenerative Diseases (DZNE)
TypeDirect peer
Description

Publicly-funded German research organization with similar scale, federal-grant funding model, and focus on Alzheimer's, Parkinson's, and other neurodegenerative diseases using advanced imaging and biomarker research.

TypeBroad incumbent
Description

Manufacturer of the 7T MRI scanner INI operates and a broader portfolio of imaging equipment used across the field; relevant as the upstream infrastructure provider that INI depends on and as a broader incumbent in neuroimaging technology.

TypeDirect peer
Description

Public-private partnership bringing together universities to study neurodegeneration through imaging, genetics, and biomarker research; mirrors INI's consortium structure, federal/charitable funding base, and emphasis on translating imaging science to clinical impact.

TypeDirect peer
Description

Non-profit research institute focused on Alzheimer's prevention trials, imaging biomarkers, and large multi-site studies; comparable disease focus and partnership-based research model, with deep overlap in the ADNI consortium network.

TypeDirect peer
Description

Academic neuroscience research institute at McGill operating advanced imaging facilities, conducting disease-focused brain research, and hosting large multi-institutional consortia; directly comparable to INI in scope, academic setting, and integration of imaging with genetics research.

TypeDirect peer
Description

UCL-based neuroimaging center developing widely-used analysis software (SPM, FSL), running large cohort studies, and training the global neuroimaging community; shares INI's combination of imaging tools, training programs, and disease-focused research.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

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Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers4 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability10 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature9 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
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Profiles12 records

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Subsidiaries5 records

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Name, Acquired on, Relationship type, Type, Business focus

No data
Funding overview

Funding stage, Last funding date, Total funding USD

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Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

USC Mark & Mary Stevens Neuroimaging and Informatics Institute

Academic Neuroimaging and Brain Mapping Researchini.usc.edu

INI is a non-profit academic research institute at USC's Keck School of Medicine that operates four neuroimaging centers and the ENIGMA Consortium (900+ scientists, 40 countries), managing brain scan data from 50,000+ subjects and funding its operations primarily through NIH grants, foundation awards, and philanthropy.

What USC Mark & Mary Stevens Neuroimaging and Informatics Institute does

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) is a non-profit academic research institute within the University of Southern California's Keck School of Medicine, founded in 2013 and headquartered in Stevens Hall of Neuroimaging on the USC Health Sciences Campus in Los Angeles. INI applies advanced imaging and information technologies to map brain structure and function, comprising four specialized centers: the Laboratory of Neuro Imaging (LONI), the Imaging Genetics Center (IGC), the Center for Image Acquisition (CIA), and the Center for Integrative Connectomics (CIC). The institute operates one of the world's largest neuroimaging data resources, with scans from over 50,000 subjects across 125+ studies, and serves as the operational hub of the ENIGMA Consortium, a worldwide network of 900+ scientists from 40 countries running 50+ working groups on brain disorders including schizophrenia, bipolar disorder, depression, PTSD, Alzheimer's, and Parkinson's.

INI's technology stack spans ultra-high-field MRI (a 3T Siemens Magnetom Prisma and the first ACR-accredited 7T Siemens Magnetom Terra), proprietary analysis tools (ENIGMA-Shape, autoMATE, PyRPL, NiftyTorch, Connectome Evaluation Tools), data platforms (ADNI, PPMI, GAAIN, DABI, BD2K, COVID-ARC), visualization and VR applications (Schol-AR, Virtual Brain Segmenter, REINVENT), and a federally regulated clinical product (FDA 510(k)-cleared CT perfusion software). Its business model is grant-funded: revenue flows primarily through competitive NIH and federal grants (NIA, NINDS, BRAIN Initiative, NSF), foundation awards (Michael J. Fox Foundation, BrightFocus, Chan Zuckerberg Initiative, Milken/Baszucki), and philanthropic donations supporting endowed chairs and research projects. Data and tools are distributed free to the global research community under the LONI Research License, with commercial licensing handled separately. The institute also operates the Master of Science in Neuroimaging and Informatics (NIIN) program and the ENIGMA-U online school to train the next generation of neuroimaging scientists.

USC Mark & Mary Stevens Neuroimaging and Informatics Institute firmographics

Firmographics
Name
USC Mark & Mary Stevens Neuroimaging and Informatics Institute
Legal name
University of Southern California
Website
https://ini.usc.edu
Company type
Private
Founded year
2013
Operating status
Operating
Headcount range
11–50 employees
Short description
INI is a non-profit academic research institute at USC's Keck School of Medicine that operates four neuroimaging centers and the ENIGMA Consortium (900+ scientists, 40 countries), managing brain scan data from 50,000+ subjects and funding its operations primarily through NIH grants, foundation awards, and philanthropy.
Ownership category
akta.pro rank

USC Mark & Mary Stevens Neuroimaging and Informatics Institute industry classification

Industry
Product category
Academic Neuroimaging and Brain Mapping Research
NAICS
Scientific Research and Development Services (5417), Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)
SIC
Services-Commercial Physical & Biological Research (8731), Services-Engineering, Accounting, Research, Management (8700)
akta.pro primary industry
Medical Imaging AI (HDAAAEAH)
akta.pro secondary industries
Microscopy, Imaging & Flow Cytometry Instruments (HLAGAIAE), Cognitive & Behavioral Neurology (Dementia/Memory Disorders) (HLAKAIAH), Epilepsy & Seizure Disorders (HLAKAIAB)

Keywords

  • Neuroimaging research
  • Brain mapping
  • Medical imaging informatics
  • Neuroimaging genetics
  • Academic neuroscience research

Where USC Mark & Mary Stevens Neuroimaging and Informatics Institute is headquartered

Location

Headquarters

HQ city
Los Angeles
HQ country
United States
HQ region
North America

Offices2 records

Markets served

USC Mark & Mary Stevens Neuroimaging and Informatics Institute business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales, Others

Revenue model

  1. NIH and Government Research Grants: Primary funding source through competitive grant applications to National Institutes of Health and other federal agencies for neuroimaging research, data infrastructure, and training programs.
  2. Foundation and Private Research Funding: Funding from foundations including Michael J. Fox Foundation (PPMI study), BrightFocus Foundation, and private donors for specific research initiatives.
  3. Data and Resource Licensing: Non-commercial research use of atlases and data resources provided at no charge; commercial licensing available through separate agreements.
  4. Philanthropic Donations: Support through giving opportunities including naming endowed chairs, professorships, scholarships, and research project funding.

Pricing tiers

ModelBillingPrice
FreemiumOthersNon-commercial Research License - Free

Go-to-market motion2 records

Distribution channels4 records

Marketing channels6 records

USC Mark & Mary Stevens Neuroimaging and Informatics Institute product offering

Product offering

Core offering

INI applies innovative imaging and information technologies to the study of the brain, operating four specialized research centers (LONI, IGC, CIA, CIC) and the worldwide ENIGMA imaging genetics consortium. The institute provides advanced neuroimaging data archives and analysis software (including Schol-AR, NiftyTorch, ENIGMA-Shape, PyRPL, and autoMATE), conducts research on neurodegenerative and psychiatric disorders, runs ultra-high-field 7T MRI scanning, and delivers training through the NIIN Master's program and ENIGMA-U online school for the global neuroscience community.

Product overview

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) operates as a research institute with four specialized centers (LONI, IGC, CIA, CIC) focused on mapping brain structure and function through imaging and information technologies. The institute offers research data platforms including the ENIGMA Consortium, ADNI, GAAIN, PPMI, and DABI for large-scale neuroimaging data sharing; software tools including Schol-AR (AR application for scientific publications), ENIGMA-Shape (brain morphometry analysis), PyRPL (image registration), autoMATE (tract extraction), and NiftyTorch (deep learning library); VR applications like the Virtual Brain Segmenter and REINVENT stroke rehabilitation; and educational programs including the NIIN Master's degree and ENIGMA-U online school. The institute also operates advanced MRI facilities including a 7T scanner. The portfolio spans data infrastructure, analytical software, visualization tools, and training programs serving the global neuroscience research community.

Differentiator

Problem solved

Functional benefit

Products and services

  • Center for Image Acquisition (CIA) MRI Scanning Services
  • ENIGMA Consortium Research Platform
  • Parkinson's Progression Markers Initiative (PPMI) Data Platform
  • Alzheimer's Disease Neuroimaging Initiative (ADNI) Data Archive
  • Data Archive for the BRAIN Initiative (DABI)
  • Global Alzheimer's Association Interactive Network (GAAIN)
  • COVID-ARC Data Archive
  • NIIN Master of Science in Neuroimaging and Informatics Program
  • ENIGMA-U Online School
  • Schol-AR Augmented Reality Application
  • NiftyTorch Deep Learning Library
  • ENIGMA-Shape Brain Morphometry Pipeline
  • PyRPL Python Registration Prototyping Library
  • autoMATE Multi-Atlas Tract Extraction Pipeline
  • Connectome Evaluation Tools
  • Virtual Brain Segmenter (VBS)
  • REINVENT VR Stroke Rehabilitation Platform
  • CT Perfusion Software (KWIA)

Quantifiable outcome

  • Largest neuroimaging genetics study - 306 genetic variants discovered in 50,000+ people
  • +2 more outcomes

Companies that use USC Mark & Mary Stevens Neuroimaging and Informatics Institute

Customer profile

Named customers4 records

Segments4 records

Ideal customer profiles3 records

USC Mark & Mary Stevens Neuroimaging and Informatics Institute technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability10 records

Feature9 records

USC Mark & Mary Stevens Neuroimaging and Informatics Institute partnerships and signals

Strategic signal

Partnerships

Twelve partnerships are on record, tiered core and strategic.

  • NIH BRAIN Initiative Cell Census Network (BICCN)coreStrategic or Co-development Partner · 1 January 2018Five-year multisite collaboration to define and classify neural cell types in the mouse brain. Hong-Wei Dong and INI received $19 million to build on the Mouse Connectome Project by studying neuroanatomy, connectivity and transcriptomes of brain cells.
  • Michael J. Fox Foundation - Parkinson's Progression Markers Initiative (PPMI)coreStrategic or Co-development Partner · 1 January 2014Landmark longitudinal biomarkers study following more than 1,000 research participants in 33 clinical sites worldwide. INI stores all project data, which now includes RNA sequencing data and information from more than 50,000 additional subjects across 125 different studies.
  • ENIGMA ConsortiumcoreStrategic or Co-development PartnerWorldwide imaging genetics consortium co-founded by INI's Paul Thompson, uniting over 900 scientists from 40 countries. The consortium conducts large-scale studies of the brain in health and disease across 50+ working groups, analyzing brain and genomic scans from thousands of research participants.
  • NIH Big Data to Knowledge (BD2K) - BDDS CentercoreStrategic or Co-development PartnerBig Data for Discovery Science Center unites experts in biomedical imaging, genetics, proteomics, and computer science. BDDS provides training seminars and access to its Knowledge Discovery Interface for researchers.
  • Alzheimer's Disease Neuroimaging Initiative (ADNI)coreStrategic or Co-development Partner15+ year longitudinal multicenter public-private partnership developing clinical, imaging, genetic and biochemical biomarkers for early detection and tracking of Alzheimer's disease. INI hosts and manages the ADNI data archive.
  • Global Alzheimer's Association Interactive Network (GAAIN)coreStrategic or Co-development PartnerRevolutionary federated data platform pooling and sharing Alzheimer's disease data from multiple institutions. GAAIN provides analysis tools and enables researchers to find data while protecting privacy of subjects and data collectors.
  • Mouse Connectome ProjectcoreStrategic or Co-development PartnerNIH-funded project creating a connectivity atlas of the mouse brain, mapping neural networks and investigating communication between brain regions. Led by Hong-Wei Dong at CIC.
  • Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx)coreStrategic or Co-development PartnerInternational multicenter collaborative effort to understand and treat epilepsy by studying animals and patients with traumatic brain injury. INI contributes informatics and analytics expertise.
  • Data Archive for the BRAIN Initiative (DABI)coreStrategic or Co-development PartnerShared repository for invasive neurophysiology data collected by NIH BRAIN Initiative researchers. $5.38 million NIH award to Toga and Duncan for building the archive to store, organize, disseminate, analyze and visualize human invasive neurophysiology data.
  • University of Southern California Schools and DepartmentscoreStrategic or Co-development PartnerCross-school collaborations including Keck School of Medicine, Viterbi School of Engineering, Suzanne Dworak-Peck School of Social Work, and others for interdisciplinary neuroscience research.
  • USC+Amazon Center on Secure and Trusted Machine LearningstrategicStrategic or Co-development PartnerNewly launched center where Paul Thompson co-leads research project on secure machine learning technologies, one of five funded projects focusing on privacy, security, and trustworthiness of ML.
  • Center for Neuronal LongevitystrategicStrategic or Co-development PartnerMulti-disciplinary team including Mark Humayun, Gianluca Lazzi, and Arthur W. Toga tackling neurodegenerative diseases of the eye and brain, building on FDA-approved retinal implant success.

Scale indicators9 records

Recent moves2 records

Expansion highlights6 records

USC Mark & Mary Stevens Neuroimaging and Informatics Institute competitors and assessment

Company assessment

Direct peers

  • Allen Institute for Brain Science: Non-profit medical research organization focused on large-scale brain mapping, atlas creation, and open neuroscience data resources, with comparable funding mix (philanthropy, government) and similar role in producing foundational datasets and tools for the global neuroscience community.
  • Max Planck Institute for Human Cognitive and Brain Sciences: European academic research institute operating advanced MRI and MEG imaging facilities for cognitive and clinical neuroscience, with a similar model of government-funded research, neuroimaging tool development, and large cohort studies.
  • Martinos Center for Biomedical Imaging: Harvard/MGH/MIT-affiliated neuroimaging center operating ultra-high-field MRI scanners, developing analysis tools, and running large-scale multi-site studies; competes with INI for NIH funding, top faculty, and consortium leadership in brain mapping.
  • German Center for Neurodegenerative Diseases (DZNE): Publicly-funded German research organization with similar scale, federal-grant funding model, and focus on Alzheimer's, Parkinson's, and other neurodegenerative diseases using advanced imaging and biomarker research.
  • UK Dementia Research Institute: Public-private partnership bringing together universities to study neurodegeneration through imaging, genetics, and biomarker research; mirrors INI's consortium structure, federal/charitable funding base, and emphasis on translating imaging science to clinical impact.
  • Banner Alzheimer's Institute: Non-profit research institute focused on Alzheimer's prevention trials, imaging biomarkers, and large multi-site studies; comparable disease focus and partnership-based research model, with deep overlap in the ADNI consortium network.
  • Montreal Neurological Institute (MNI): Academic neuroscience research institute at McGill operating advanced imaging facilities, conducting disease-focused brain research, and hosting large multi-institutional consortia; directly comparable to INI in scope, academic setting, and integration of imaging with genetics research.
  • Wellcome Centre for Human Neuroimaging (UCL): UCL-based neuroimaging center developing widely-used analysis software (SPM, FSL), running large cohort studies, and training the global neuroimaging community; shares INI's combination of imaging tools, training programs, and disease-focused research.

Emerging players

  • Human Connectome Project (WU-Minn / HCP): NIH-funded multi-site consortium producing large-scale brain connectivity datasets and analysis pipelines; partial overlap with INI's connectomics work (CIC) and shared role in shaping open neuroimaging data infrastructure.

Broad incumbents

  • Siemens Healthineers (MAGNETOM Terra / 7T MRI): Manufacturer of the 7T MRI scanner INI operates and a broader portfolio of imaging equipment used across the field; relevant as the upstream infrastructure provider that INI depends on and as a broader incumbent in neuroimaging technology.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

USC Mark & Mary Stevens Neuroimaging and Informatics Institute social profiles

Digital presence

USC Mark & Mary Stevens Neuroimaging and Informatics Institute financial estimates

Financial estimate

Revenue estimate

Valuation estimate

USC Mark & Mary Stevens Neuroimaging and Informatics Institute leadership team

Management profile

Number of profiles

Profiles12 records

USC Mark & Mary Stevens Neuroimaging and Informatics Institute subsidiaries and ownership

Company hierarchy

Subsidiaries5 records

USC Mark & Mary Stevens Neuroimaging and Informatics Institute funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

USC Mark & Mary Stevens Neuroimaging and Informatics Institute M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about USC Mark & Mary Stevens Neuroimaging and Informatics Institute

What does USC Mark & Mary Stevens Neuroimaging and Informatics Institute do?

INI applies innovative imaging and information technologies to the study of the brain, operating four specialized research centers (LONI, IGC, CIA, CIC) and the worldwide ENIGMA imaging genetics consortium. The institute provides advanced neuroimaging data archives and analysis software (including Schol-AR, NiftyTorch, ENIGMA-Shape, PyRPL, and autoMATE), conducts research on neurodegenerative and psychiatric disorders, runs ultra-high-field 7T MRI scanning, and delivers training through the NIIN Master's program and ENIGMA-U online school for the global neuroscience community.

Is USC Mark & Mary Stevens Neuroimaging and Informatics Institute a public or private company?

USC Mark & Mary Stevens Neuroimaging and Informatics Institute is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was USC Mark & Mary Stevens Neuroimaging and Informatics Institute founded?

USC Mark & Mary Stevens Neuroimaging and Informatics Institute was founded in 2013. It employs 11 to 50 people.

Where is USC Mark & Mary Stevens Neuroimaging and Informatics Institute based?

USC Mark & Mary Stevens Neuroimaging and Informatics Institute is headquartered in Los Angeles, United States, in the North America region.

How does USC Mark & Mary Stevens Neuroimaging and Informatics Institute make money?

Four revenue lines are on record. NIH and Government Research Grants are the primary driver. The others are foundation and Private Research Funding, data and Resource Licensing and philanthropic Donations.

Who are USC Mark & Mary Stevens Neuroimaging and Informatics Institute's main competitors?

Direct peers on record are Allen Institute for Brain Science, Max Planck Institute for Human Cognitive and Brain Sciences, Martinos Center for Biomedical Imaging, German Center for Neurodegenerative Diseases (DZNE), UK Dementia Research Institute, Banner Alzheimer's Institute, Montreal Neurological Institute (MNI) and Wellcome Centre for Human Neuroimaging (UCL). Human Connectome Project (WU-Minn / HCP) is listed as an emerging player. Siemens Healthineers (MAGNETOM Terra / 7T MRI) is listed as a broad incumbent.

Does USC Mark & Mary Stevens Neuroimaging and Informatics Institute have an API?

No public API is recorded for USC Mark & Mary Stevens Neuroimaging and Informatics Institute.

What industry is USC Mark & Mary Stevens Neuroimaging and Informatics Institute in?

USC Mark & Mary Stevens Neuroimaging and Informatics Institute's product category is Academic Neuroimaging and Brain Mapping Research. Its primary akta.pro industry code is HDAAAEAH, Medical Imaging AI, with a secondary code of HLAGAIAE, Microscopy, Imaging & Flow Cytometry Instruments. Its NAICS code is 5417 and its SIC code is 8731.

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BioengineeringAir pollution linked to distinct changes in Alzheimer’s-vulnerable brainAn observational study led by researchers at the USC Mark and Mary Stevens Neuroimaging and Informatics Institute found that outdoor air pollution is associated with structural changes in brain regions vulnerable to Alzheimer’s disease. The research, published in NeuroToxicology, analyzed data from 1,484 adults and revealed that older women experienced cortical thinning linked to PM2.5 and nitrogen dioxide exposure, while younger men showed unexpected cortical thickening.Digital Health NewsAI Framework Maps How Different Parts of the Brain Age, Study FindsResearchers at the University of Southern California's School of Gerontology have developed an AI-based framework that generates detailed maps showing how different parts of the brain age at different rates, published in the Proceedings of the National Academy of Sciences. The study used MRI scans from 14,748 cognitively normal adults aged 19 to 100, finding that frontal and temporal lobes appear biologically older than parietal and occipital regions, with more pronounced differences observed in people with mild cognitive impairment and Alzheimer's disease. The researchers report that local brain aging patterns correlate with cognitive function and could help identify neurodegeneration earlier.EIN PresswireWorld's First 'Baby G' Robotic Trainer for Children with Motor Disabilities Introduced in ArizonaUCP of Central Arizona has become the first clinic in the world to offer the Baby G Early Mobilization System, a robotic body-weight support technology for infants and toddlers with motor disabilities such as cerebral palsy. Developed by Aretech, LLC in collaboration with the National Institute of Health and the University of Southern California, the system enables children as young as six months to practice motor skills in a safe 3D play environment. The $400,000 purchase was funded by Thunderbirds Charities and the Arizona Board of Visitors.PR NewswireThe Michael J. Fox Foundation for Parkinson's Research Funds the Largest Disease-focused Data Set Ever CreatedThe Michael J. Fox Foundation for Parkinson's Research has released the PPMI RNA-Sequencing Project, a 108-terabyte dataset that is the largest disease-focused data set ever created in medical research. The project, led by researchers at The Translational Genomics Research Institute and the University of Southern California, analyzed more than 4,750 samples from 1,589 people to explore genetic changes associated with Parkinson's disease, disease progression, and medication impact. The dataset, which took 480,000 hours of processing time, is now accessible to researchers through a portal to help illuminate the genetic drivers and biological mechanisms underlying Parkinson's disease.TechCrunchHoloLens acts as eyes for blind users and guides them with audio promptsResearchers from Caltech and the University of Southern California have demonstrated that Microsoft’s HoloLens can function as a visual prosthesis for blind users, using audio cues and voice prompts to guide users through environments and locate objects. Seven blind participants tested the system and successfully navigated from building entrances to destinations on the first try, completing tasks in a fraction of their normal time without any training. The technology remains a prototype, but researchers see significant potential as augmented reality hardware becomes lighter and more powerful.