Some parts of the brain are hard to capture on MRI. In the brainstem and the region just above the eyes, scans that trace the brain’s wiring can return with missing nerve-fiber information 🧠 🩻 Our researchers, led by co-first authors Shuo Huang and Lujia Zhong and senior author Yonggang Shi, PhD, built a generative AI model that estimates what belongs in those gaps. In scans from nearly 2,000 adults, it produced more complete maps of a major movement pathway. Learn more 👉 bit.ly/47UKyOf

NIIN alum, now a neuroimaging researcher 🧠, Artemy Vinogradov ‘20 has joined @neuro_kj’s team at our USC LOFT lab as a project specialist. He is exploring new uses of functional MRI in health and disease.

Spooky season is our kind of season. Happy Halloween from all of us at the Stevens INI! Wishing everyone a night full of treats and a few good scares 🎃 🧠 👻

Our researchers are part of a new $4.5 million, three-year effort funded by BD² Discoveries to study a group of brain cells that may help drive mood switching between depression and mania in bipolar disorder. Christopher Ching, PhD, from our team is co-principal investigator with Laramie Duncan, PhD, of Stanford, and Fernando Goes, MD, of Johns Hopkins. They will combine donated brain tissue, genetics, and brain imaging to test whether “switch cells” in the retrosplenial cortex play a role. Learn more: bit.ly/47Fqv6j

Saturday scan session: brains in the spotlight, operator in the shadows. 🧠🧲 #MRI #Neuroimaging #BrainResearch #BehindTheScenes #WeekendScience

Congratulations to NIIN alum Amy Ankoh ‘26! 🎉 Amy is now a neuroimaging research specialist in the Aging, Brain, Circulation (ABC) Lab at Northwestern University Feinberg School of Medicine.

The future of medicine depends on data. 🧠 We use advanced AI and informatics to turn massive datasets into meaningful discoveries for brain health. We’re also home to world-renowned data archives: IDA, @alzGAAIN, ADNI, and @enigmabrains. Learn more: ini.usc.edu

Our associate director @PTenigma will lead a global study of brain function across eight mental illnesses, which the team expects to be the largest fMRI study ever conducted. Backed by a five-year, $3.2 million @NIH grant, Thompson and the @enigmabrains Consortium will analyze over 94,000 brain scans from 27 countries with one shared method, so conditions such as schizophrenia, depression, autism, and PTSD can be compared side by side. Learn more: bit.ly/4iyNfuG

Our associate director @PTenigma joined @drmarkhyman to talk about what large-scale brain imaging is teaching us about the link between body and brain health 🧠 The conversation covers “brain age,” why metabolic health, sleep, and nutrition matter for the brain, and what an Alzheimer’s risk gene does and doesn’t tell you about your future. Thompson also discusses his work leading the @enigmabrains Consortium. Watch: piped.video/watch?v=DgzVtVVS…

Brains on every screen 🧠 NIIN students got hands-on with fMRI data, learning how brain scans become maps of brain activity. Want to learn neuroimaging this way? ➡️ Visit niin.usc.edu

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

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 NIIN@ini.usc.edu 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…

🔥 🧠 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: piped.video/watch?v=WDqw23Yo…

🇫🇷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: ▶️ piped.video/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