ISSN# 1545-4428 | Published date: 19 April, 2024
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At-A-Glance Session Detail
   
fMRI for All
Weekend Course
ORGANIZERS: Xiao-Qi (Juliana) Huang, Christin Sander, Allen Song, Wietske van der Zwaag
Saturday, 04 May 2024
Nicoll 3
08:00 -  12:00
Moderators: Seong-Gi Kim & Pohchoo Seow
Skill Level: Basic to Intermediate
Session Number: WE-05
CME Credit

Session Number: WE-05

Overview
In these lectures, we will go from the basic physiology underlying the BOLD response to how that is measured and visualised with MRI, via task-based and resting-state fMRI to clinical applications and signal interpretation.

Target Audience
Anyone interested in brain function and how we can use MRI to probe it. The course has lectures both for clinicians and physicists and starts from basic up to intermediate level.

Educational Objectives
As a result of attending this course, participants should be able to:
- Design an fMRI experiment with the underlying physiology in mind;
- Describe the steps in fMRI data processing, whether task-based or resting-state; and
- Interpret findings from fMRI and relate these to clinical practice cases.

08:00 Basic BOLD Physiology
João Jorge

Keywords: Contrast mechanisms: fMRI, Neuro: Brain function, Neuro: Cerebrovascular

Since its demonstration in the early 90's, the blood oxygen level-dependent (BOLD) contrast has proved to be a revolutionary tool to probe brain function non-invasively. But what lies under the hood? Rather than a direct measure of neuronal activity (or any single physiological parameter), BOLD signals reflect a complex interplay of neuronal, vascular and metabolic factors. In this talk, we will introduce the basic physiology and physics that underlie the BOLD contrast, and which govern the spatial and temporal properties of the signal we measure with fMRI.
08:30 Data Acquisition for fMRI
SoHyun Han

Keywords: Contrast mechanisms: fMRI

This lecture will describe the data acquisition for functional MRI focusing on 2D echo planar imaging (EPI) sequence. Sequence parameters (TE, TR, echo spacing, voxel size, acceleration factors, etc.) will be introduced. Parallel imaging (SENSE, GRAPPA, SMS) methods and typical EPI related artifacts (ghosting, geometric distortions, signal loss) will also be discussed.
09:00 Preprocessing in fMRI
Sungho Tak

Keywords: Neuro: Brain

In this course, we describe an overview of basic pre-processing operations for fMRI data that are typically performed before statistical analysis of regional activation and connectivity. We then present the details of methods used for motion correction, slice timing correction, segmentation, spatial normalization, and physiological noise correction. Additionally, we provide recent advances in the preprocessing methods and discuss future directions. The target audience includes fMRI researchers interested in learning about basic methods and software for preprocessing in humans. 
09:30 Task-Based fMRI
Luca Vizioli
10:00 Break & Meet the Teachers
10:30 Resting-State Basics: why asking your subjects to do nothing can open a window into brain function, cerebral physiology, and data nuisance.
Stefano Moia

Keywords: Neuro: Brain function, Neuro: Brain connectivity, Neuro: Cerebrovascular

Resting state (RS) functional MRI is a versatile data acquisition paradigm that can be adopted to obtain meaningful information about brain function, cerebral physiology, and data nuisance.
This talk will introduce basics concepts of RS fMRI, starting by exploring the most common data-driven methods to analyse RS data, as well as the metrics used to assess its signal properties, discussing possible interpretations of the results. It will then address perks and pitfalls of RS, as well as the latest developments in the field of functional MRI aiming at overcoming the limitations of RS.
11:00 Interpretation of BOLD fMRI
Natalia Petridou

Keywords: Contrast mechanisms: fMRI, Neuro: Brain function, Neuro: Cerebrovascular

Blood-oxygen-level-dependent (BOLD) fMRI is the most-widely used technique to measure brain function non-invasively. BOLD however is a surrogate measure of brain function as the signals reflect local changes in hemodynamics. Understanding the relationship between neuronal activity and hemodynamics is therefore critical in interpreting BOLD data. This lecture will discuss neuronal and vascular contributions to BOLD in terms of spatial and temporal specificity, and address factors that affect the variability and linearity of the BOLD response. It will also discuss the importance of signal quality and data analysis methods, and the role of models, in interpreting BOLD fMRI data.
11:30 Application of fMRI in Psychiatric Disorders
Qiyong Gong

Keywords: Neuro: Brain

This lecture will provide an overview of the use of fMRI in psychiatric disorders, while also introducing the application of other psychoradiology modalities.