USC's Stevens Neuroimaging & Informatics Institute pioneers neuroimaging tech to study the brain, sharing data globally. Home of the Lab of Neuro Imaging (LONI)
Los Angeles, CA
Joined May 2009
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Data, Centered. 🧠
We’re home to the world’s largest archive of neuroimaging data.
With 18 petabytes of secure storage, 4,096 processor cores, and premier data-sharing platforms, we help researchers worldwide turn brain data into discovery.
ini.usc.edu
Sharper images. Deeper insights.
Our researchers pair advanced brain imaging with powerful data tools and global collaboration to study the brain in health, aging, and disease.
Learn more: ini.usc.edu
Lab of Neuro Imaging retweeted
LAST CHANCE to register!
📣 Our Virtual Open House is TOMORROW Tues., Oct. 6, at 4 p.m. PDT
📚 Learn about our curriculum, application process, and career paths
💻 To register, email [email protected] with the subject line "Open House" and include your full name.
State-of-the-art imaging and informatics to illuminate brain changes across life and disease.
From brain images to breakthroughs. ini.usc.edu
Big thanks to @dailytrojan for highlighting work from our @loft_lab🫸🫷🧠
dailytrojan.com/2026/09/30/n…
Lab of Neuro Imaging retweeted
🔥 🧠 JOIN US* TOMORROW FOR AN ONLINE WORKSHOP: 🧠 🧠 - see line-up in screenshot
🔥 NIA/NINDS/NIBIB Workshop: Frontiers of Imaging Technology for Alzheimer's Disease and Related Dementias – September 28–29, 2026 – Virtual
🔥 This NIH-sponsored workshop will bring together clinical and technology-development scientists to discuss emerging noninvasive brain imaging technologies and their translation into Alzheimer’s disease and related dementias research and clinical studies. Topics will include advances in MRI, PET, portable imaging technologies, multimodal imaging, and other innovative approaches, with presentations from leading experts in the field. 🧠 More info: nia.nih.gov/about/naca/direc…
🔥 *My talk is here, I put it on YouTube: youtube.com/watch?v=WDqw23Yo…
Lab of Neuro Imaging retweeted
🇫🇷Heading to MICCAI in Strasbourg? Good luck to all presenting, including our lab members! 🎉
🧠 CDMRI Workshop
𝗥𝗲𝗴𝗶𝗼𝗻 𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗦𝗮𝗺𝗽𝗹𝗲 𝗦𝗶𝘇𝗲 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝗖𝗮𝗹𝗶𝗯𝗿𝗮𝘁𝗲𝗱 𝗡𝗼𝗿𝗺𝗮𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗼𝗳 𝗗𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻 𝗧𝗲𝗻𝘀𝗼𝗿 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗙𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗻𝗶𝘀𝗼𝘁𝗿𝗼𝗽𝘆 𝗔𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗟𝗶𝗳𝗲𝘀𝗽𝗮𝗻
Julio E. Villalón-Reina, Leila Nabulsi, Sophia I. Thomopoulos, Yixue Feng, Kenny Liou, John P. John, @KE__Lawrence , Talia M. Nir, Neda Jahanshad @amarquand, @smkia83
🔗 biorxiv.org/content/10.64898…
🧠 ShapeMI Workshop
𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗦𝗮𝗺𝗽𝗹𝗲-𝗦𝗶𝘇𝗲 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗳𝗼𝗿 𝗦𝗵𝗮𝗽𝗲-𝗕𝗮𝘀𝗲𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀
Yanghee Im, Melody J.Y. Kang, Boris A. Gutman, Sophia I. Thomopoulos, Christopher R.K. Ching, and the Alzheimer's Disease Neuroimaging Initiative
🧬 MISO Workshop
𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝘁𝗶𝗰 𝗘𝗳𝗳𝗲𝗰𝘁𝘀 𝗼𝗻 𝗛𝘂𝗺𝗮𝗻 𝗕𝗿𝗮𝗶𝗻 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗘𝗺𝗲𝗿𝗴𝗲 𝗔𝗰𝗿𝗼𝘀𝘀 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗦𝗰𝗮𝗹𝗲𝘀
Emma J. Gleave, Luis M. García-Marín, Zuriel Ceja, Miguel E. Rentería, Tamoghna Chattopadhyay, Christian Gaser, Priya Rajagopalan
🔗 biorxiv.org/content/10.64898…
🧠 SASHIMI Workshop
𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝗶𝗻𝗴 𝗦𝘂𝗯𝘁𝘆𝗽𝗲𝘀 𝗼𝗳 𝗡𝗲𝘂𝗿𝗼𝗱𝗲𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗮 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗺𝗲-𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗠𝗼𝗱𝗲𝗹
Daniel Semchin, Emile d'Angremont, Hao Ding, Alan Antar, Marco Lorenzi, Konstantinos Arfanakis, Ysbrand D. van der Werf, Boris Gutman
🔗 arxiv.org/abs/2609.10890
🧠 ShapeMI Workshop
𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗻𝗴 𝗕𝗿𝗮𝗶𝗻 𝗠𝗼𝗿𝗽𝗵𝗼𝗺𝗲𝘁𝗿𝘆 𝘄𝗶𝘁𝗵 𝗠𝗧-𝗚𝗡𝗡: 𝗠𝗲𝘀𝗵 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗶𝗻 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗧𝗶𝗺𝗲 𝘄𝗶𝘁𝗵 𝗚𝗿𝗮𝗽𝗵-𝗕𝗮𝘀𝗲𝗱 𝗠𝗲𝘁𝗿𝗶𝗰 𝗧𝗲𝗻𝘀𝗼𝗿 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀
Hao Ding, Daniel Semchin, Boris Gutman
🔗 arxiv.org/abs/2608.05132
🎤 And if you can't catch my talk, 𝗖𝗮𝗻 𝗔𝗜 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝗲 𝗘𝘃𝗲𝗿𝘆 𝗕𝗿𝗮𝗶𝗻 𝗗𝗶𝘀𝗲𝗮𝘀𝗲? 𝗗𝗮𝘁𝗮 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗟𝗮𝘄𝘀 & 𝘁𝗵𝗲 𝗘𝗡𝗜𝗚𝗠𝗔 𝗖𝗼𝗻𝘀𝗼𝗿𝘁𝗶𝘂𝗺 | 𝗠𝗜𝗖𝗖𝗔𝗜 𝟮𝟬𝟮𝟲 you can watch it here:
▶️ youtube.com/watch?v=hknxO_U1…
See you in Strasbourg!
#MICCAI2026 #MedicalImaging #Neuroimaging #MachineLearning #ENIGMA
Decoding the brain through data.
We bring together world-class brain imaging, informatics, and collaborative research to transform complex data into discoveries that advance neuroscience. 🧠 ini.usc.edu
Our @USCNIIN Fall Seminar Series runs Tuesdays, 12 to 1 PM, on Zoom. Weekly speakers cover neuroscience, brain imaging, AI/data science methods, and more, with a Q&A after each talk 🧠
Register once, then join the talks that interest you: bit.ly/4hiwBO7
Can AI diagnose every brain disease from a scan with over 90% accuracy, and how much data would it take?
In this #MICCAI2026 talk, our associate director @PTenigma takes you through the world's largest neuroimaging collaboration 🧠 💻
youtube.com/watch?v=hknxO_U1…
We harness large-scale brain data, artificial intelligence, and imaging technology to reveal patterns that deepen our understanding of the human brain. 🧠 ini.usc.edu
🧠 NEW study led by Fanhua Guo, Chenyang Zhao, and @loft_lab introduces CCSI, a noninvasive imaging measure showing how closely blood flow matches brain cells' energy needs in the human cortex. Published in @NatureComms.
📰 Read the press release: bit.ly/4yN7Ktc
Our team, including postdoctoral scholar @ravirbot, built an AI-powered tool that maps the corpus callosum, the bundle of nerve fibers connecting the brain's two hemispheres 🧠
The @dailytrojan featured the work:
dailytrojan.com/2026/09/14/u…
Learn more about what thousands of brain scans can reveal about disease 🧠 🧬
Our associate director, @PTenigma, takes us inside the worldwide @enigmabrains Consortium to explore how large-scale brain studies are revealing disease stages, distinct Parkinson’s subtypes, and differences between Parkinson’s and Alzheimer’s.
He also looks at how AI could help bring brain imaging discoveries closer to clinical use.
🎥 youtube.com/watch?v=WDqw23Yo…
Lab of Neuro Imaging retweeted
NIIN510 students recently teamed up to identify MR artifacts, putting their knowledge into practice through a hands-on group activity. 🧠📚
Clinical discovery. Earlier detection. Tracking disease progression. Guiding future care.
This is where imaging meets insight 🧠 ini.usc.edu
Join us in celebrating Bayla Breningstall for receiving an NRSA Fellowship from the National Institute on Aging (NIA)! 🎉
Bayla’s research maps subtypes of Alzheimer’s histopathology, such as amyloid and tau, onto images of human brain sections from the USC Alzheimer’s Disease Research Center, with the goal of better understanding how amyloid and tau pathology contribute to AD presentation.
Congratulations, Bayla! 👏 👏
State-of-the-art imaging. Innovative informatics. Collaborative research. This is what accelerating discovery looks like. 🧠 ini.usc.edu
