ISMRM23 - Demystifying the fMRI Signal & Its Biophysical Origins II: Systematic & Physiological Noise in fMRI

ISMRM & ISMRT Annual Meeting & Exhibition • 03-08 June 2023 • Toronto, ON, Canada

Demystifying the fMRI Signal & Its Biophysical Origins II: Systematic & Physiological Noise in fMRI

Sunrise Course

ORGANIZERS: Natalia Petridou, Rita Schmidt

Tuesday, 06 June 2023

716A/B

07:00 - 08:00

Moderators: Alexander Beckett & Jingyuan Chen

Skill Level: Basic to Intermediate

Session Number: S-Tu-08

CME Credit

Session Number: S-Tu-08

Overview
This is a sunrise educational course on the fMRI signal and its biophysical origins. The course will describe the fMRI biophysical signal origin and modeling, followed by analysis of the systematic and physiological components of the fMRI signal. In addition, the course will connect the fMRI signal to other modalities, including intra-cranial measurements and spectroscopy.

Target Audience
Scientists and clinicians interested in learning/refreshing their knowledge of the biophysical origins of the fMRI signal.

Educational Objectives
As a result of attending this course, participants should be able to:
- Describe the biophysical origins and biophysical models of the fMRI signal;
- Recognize the systematic and physiological noise contributions to the fMRI signal and review data acquisition methods to characterize the noise;
- Describe how the fMRI signal relates to intra-cranial measurements in animals and electrophysiological measurements in humans; and
- Explain relationships between the fMRI signal and underlying metabolic process, and review combined fMRI and spectroscopy data acquisition approaches.

07:00		Systematic & Physiological Noise in fMRI View Presentation Video João Jorge Keywords: Neuro: Brain function, Image acquisition: Artefacts Functional MRI signals are far from "clean"! Along with actual random noise, the signals can be affected by artifacts and confounds that are “systematic” – in other words, with characteristic structure in space and/or in time. These can be linked to head motion, cardiac and respiratory activity, and imperfections in the imaging process, for example. Understanding these phenomena can be critical to avoid biased results and interpretations. In this educational talk, I will cover the diverse sources of systematic noise that we currently know about, including their origins and mechanisms, properties, and their potential impact on fMRI studies.
07:30		Acquisition Approaches to Characterize Noise View Presentation Video Jonathan Power