ISMRM25 - fMRI from Now to the Future

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

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

CME 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 View Presentation Video John Gore, Muwei Li, Kurt Schilling, Lyuan Xu, Adam Anderson, Zhaohua Ding, Yurui Gao Impact: BOLD signals in white matter, whether evoked by a stimulus or in a resting state, show strong similarities but important differences to those in gray matter, and their magnitudes and temporal characteristics depend on myelination, energy consumption and other microstructural factors.
14:30		Investigating Brain Metabolic Functions Using fMRS View Presentation Video Betina Ip Impact: I will introduce you to fMRS, the only technique that can non-invasively measure fluctuations of neurochemicals in the human brain. It can be used to reveal the fundamental dynamics of signals underlying processing and metabolism in the normal and abnormal brain.
15:00		Break & Meet the Teachers
15:30		fMRI in the Era of Big Data × Video Permission Withheld John Van Horn Impact: The lecture explores how fMRI research benefits from bigger datasets but emphasizes that our ultimate goal should be developing better models of brain activity, not just increasing sample sizes for statistical power.
16:00		fMRI in the Era of Machine Learning: Dynamic Brain Decoding View Presentation Video Juan Helen Zhou Impact: This talk will focus on our recent work in AI-driven models for non-invasive brain vision decoding based on fMRI recordings. Ongoing research on interpretable brain foundation models designed for multiple downstream applications will be described.
16:30		Targeting Methods & Verification for Neuromodulation in Clinical Trials Susan Bookheimer