Lab of Neuro Imaging

USC's Stevens Neuroimaging & Informatics Institute pioneers neuroimaging tech to study the brain, sharing data globally. Home of the Lab of Neuro Imaging (LONI)

[Lab of Neuro Imaging @USCLONI]

State-of-the-art imaging. Innovative informatics. Collaborative research. This is what accelerating discovery looks like. 🧠 https://t.co/y8ZiDhwqCo

[USC Master's in NeuroImaging and Informatics: NIIN @USCNIIN]

📣 Our Virtual Open House is Tues., Oct. 6, at 4 p.m. PDT

📚 Get to know our curriculum, where our alumni have taken their careers, and the research you can get involved in.

💻 To register, email [email protected] with the subject line "Open House" and include your full name.

[Paul Thompson @PTenigma]

🔥 🧠 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: https://t.co/4NnwpJBFJb
🔥 *My talk is here, I put it on YouTube: https://t.co/YrnOsOhdCX

[Paul Thompson @PTenigma]

🇫🇷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
🔗 https://t.co/nEtDsZhcOl

🧠 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
🔗 https://t.co/kDzTAoCafW

🧠 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
🔗 https://t.co/MBNBsoaIUG

🧠 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
🔗 https://t.co/qHzDsjLKsJ

🎤 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:
▶️ https://t.co/BLKwrz89EM

See you in Strasbourg!

#MICCAI2026 #MedicalImaging #Neuroimaging #MachineLearning #ENIGMA

[Lab of Neuro Imaging @USCLONI]

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. 🧠 https://t.co/y8ZiDhvSMQ

[Lab of Neuro Imaging @USCLONI]

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: https://t.co/QtT4nXc14k

[Lab of Neuro Imaging @USCLONI]

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 🧠 💻

https://t.co/Y8PhPheTfr

[Lab of Neuro Imaging @USCLONI]

We harness large-scale brain data, artificial intelligence, and imaging technology to reveal patterns that deepen our understanding of the human brain. 🧠 https://t.co/y8ZiDhwqCo

[Lab of Neuro Imaging @USCLONI]

🧠 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: https://t.co/IbgN8CR9XM

[Lab of Neuro Imaging @USCLONI]

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:
https://t.co/RehPeyMoMR

[Lab of Neuro Imaging @USCLONI]

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.

🎥 https://t.co/2UsSX1SAY1

[USC Master's in NeuroImaging and Informatics: NIIN @USCNIIN]

NIIN510 students recently teamed up to identify MR artifacts, putting their knowledge into practice through a hands-on group activity. 🧠📚

[Lab of Neuro Imaging @USCLONI]

Clinical discovery. Earlier detection. Tracking disease progression. Guiding future care.

This is where imaging meets insight 🧠 https://t.co/y8ZiDhwqCo

[Lab of Neuro Imaging @USCLONI]

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! 👏 👏

[USC Master's in NeuroImaging and Informatics: NIIN @USCNIIN]

Coding and brain data, together from day one 💻
Our fall boot camp covers Bash, MATLAB, and Python, plus brain mapping and MRI data basics, a strong technical foundation before the research begins💪🧠

[Lab of Neuro Imaging @USCLONI]

The path to solving Alzheimer's disease is paved with data🧠💻
In a new video, our director, Arthur Toga, explains how our researchers use advanced neuroimaging and AI to uncover the brain changes behind Alzheimer's, and how our Image and Data Archive, the world's most widely used repository of observational Alzheimer's data, powers global research and drug development.

Watch the full video: https://t.co/1UqWq8sZoL

[Lab of Neuro Imaging @USCLONI]

New preprint from our researchers Yali Huang and Lu Zhao: the low-frequency signal fluctuations in the brain's white matter, long dismissed as background noise, turn out to be genetically influenced. Analyzing brain scans and genetic data from more than 35,000 UK Biobank participants, our team found this activity is heritable, most strongly linked to genes tied to cognitive ability, with weaker and inconclusive ties to neuropsychiatric disorders.

Read the preprint: https://t.co/EJDt1iYqha

[USC Master's in NeuroImaging and Informatics: NIIN @USCNIIN]

What does day one look like for NIIN's newest class? 🧠
Our students recently wrapped up orientation at Stevens Hall, meeting faculty, discussing coursework, and getting to know the facilities at @USCLONI. Excited to see where this cohort takes their training! Welcome aboard!

[Meredith Braskie @MeredithBraskie]

🎉Congrats to PhD student Amaryllis Tsiknia on her new paper in Brain!
🧠We evaluated longitudinal cortical thinning in older adults from HABS-HD with and without type 2 diabetes.
Check out a summary of our findings below ⬇️
💻Read our paper here: https://t.co/ZUq0tSGdpX

[Lab of Neuro Imaging @USCLONI]

As summer winds down, we’re looking back at a season of discovery and innovation at the Stevens INI ☀️🧠

Our summer newsletter highlights new research on bipolar disorder, Alzheimer’s disease, stroke, aging, and brain health. It also explores an emerging quantum computing approach that could help make MRI faster and celebrates recent awards and accomplishments across our team.

Check out the digital newsletter✌️https://t.co/q5IOfmWwjV