fMRI from Now to the Future
Weekend Course
ORGANIZERS: Allen Song, Wietske van der Zwaag
Saturday, 10 May 2025
312
13:00 -
17:00
Moderators: Peter Bandettini & Molly Bright
Skill Level: Intermediate to Advanced
Session Number: WE-15
No CME/CE Credit
Session Number: WE-15
Overview
This advanced fMRI acquisition and analysis course will cover many emerging methodologies, including techniques to reach high spatiotemporal resolution and neuronal specificity, methods to assess brain connectivity and metabolic functions, strategies to interpret dynamic brain activities and large datasets across lifespan, as well as emerging applications in fMRI-guided noninvasive neuromodulations to treat brain disorders.
Target Audience
Scientists, clinicians, and students interested in recent directions and developments in fMRI.
Educational Objectives
As a result of attending this course, participants should be able to:
• Describe advanced acquisition and analysis strategies in fMRI to better discuss the underlying neuronal activities;
• Describe fMRI in the age of big data and artificial intelligence; and
• Describe the benefit of fMRI in reconstructing neural network and guiding neuromodulations to treat brain disorders.
| 13:00 | | Mesoscale Functional MRI Jonathan Polimeni |
| 13:30 | | Connectivity in fMRI Integrated with Structural Information Bharat Biswal |
| 14:00 | | fMRI in the White Matter John Gore |
| 14:30 | | Investigating Brain Metabolic Functions Using fMRS Betina Ip Keywords: Neuro: Brain, Neuro: Brain function, Contrast mechanisms: Spectroscopy This lecture will introduce you to functional magnetic resonance spectroscopy (fMRS), the only technique that can non-invasively measure temporal fluctuations of neurometabolites in the brain. Applied to patient populations, it can help understand how a disorder impacts on specific brain functions. In summary, fMRS is a powerful, emerging technique that measures brain mechanisms at a cellular level. |
| 15:00 | | Break & Meet the Teachers |
| 15:30 | | fMRI in the Era of Big Data John Van Horn |
| 16:00 |  | fMRI in the Era of Machine Learning: Dynamic Brain Decoding Juan Helen Zhou Keywords: Neuro: Brain connectivity, Neuro: Brain, Contrast mechanisms: fMRI Advances in brain imaging and artificial intelligence (AI) offer an unprecedented opportunity to explore the human mind and develop novel approaches for treating neurological disorders. This talk will focus on our recent work in AI-driven models for brain vision decoding, specifically reconstructing high-quality images and videos directly from functional MRI (fMRI) recordings ( Mind-Vis and Mind-Video). We will also discuss ongoing research on interpretable brain foundation models designed for multiple downstream applications. Looking ahead, the integration of AI with brain imaging holds great potential for deepening our understanding of the human mind and advancing treatment strategies for neuropsychiatric disorders. |
| 16:30 | | Targeting Methods & Verification for Neuromodulation in Clinical Trials Susan Bookheimer |