Course Identification

Title:

fMRI Methods

Code:

20213211

Lecturers and Teaching Assistants

Lecturers:

Dr. Tali Weiss, Dr. Talia Brandman, Prof. Roy Mukamel, Dr. Michal Ramot, Dr. Avi Mendelsohn, Dr. Edna Furman-Haran, Prof. Tzipi Horowitz Kraus

TA's:

Or Yizhar, Noam Saadon-Grosman, Dr. Alexey Onikul Kulpanovich, Lior Gorodisky

Course Schedule and Location

Year:

2021

Semester:

First Semester

When / Where:

Tuesday, 10:15 - 12:00

Tutorials
Tuesday, 12:15 - 14:00,

First Lecture:

27/10/2020

Field of Study, Course Type and Credit Points

Life Sciences: Lecture; Elective; Regular; 3.00 points
Life Sciences (Molecular and Cellular Neuroscience Track): Lecture; Elective; Regular; 3.00 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Lecture; Elective; Regular; 3.00 points
Life Sciences (Computational and Systems Biology Track): Lecture; Elective; Regular; 3.00 points

Comments

N/A

Prerequisites

Basic knowledge of Matlab and statistics (distribution, ttest, correlations)

Restrictions

Participants:

25

Language of Instruction

English

Attendance and participation

Expected and Recommended

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

Assignments:

100%

assignments related to the reading material in the course

Evaluation Type

No final exam or assignment

Scheduled date 1

Date / due date

N/A

Location

N/A

Time

-

Remarks

N/A

Estimated Weekly Independent Workload (in hours)

3

Syllabus

The goal of the course is to cover the major technical topics and methodological issues in the field of functional magnetic resonance imaging (fMRI) brain research.

With this background, students will be equipped with better tools to design and implement their own fMRI experiments, analyze fMRI data, and importantly appreciate the advantages and limitations of fMRI research.

Assignments:

50% tutorials (using matlab)

50% lectures (using FSL)

Design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data/ Dr. Tali Weiss

basic MR physics and functional MRS/ Alexey Kulpanovich

Using natural stimuli in brain imaging/ Dr. Talia Brandman

Retinotopic topography/ Or Yizhar

Somatosensory topography/ Dr. Noam Saadon-Grosman

Multi-Voxel Pattern Analysis (MVPA)/ Prof. Roy Mukamel

fmri neurofeedback/ Prof. Michal Ramot

Learning Outcomes

Upon successful completion of this course students should be able to:

[1] Design and implement fMRI experiments, analyze fMRI experimental data using FSL package and matlab

[2] Be able to read, appreciate, and be critical of fMRI studies/research

Reading List

[1]Functional Magnetic Resonance Imaging: An Introduction to Methods

Peter Jezzard, Paul M Matthews, and Stephen M Smith

[2]Introduction to Resting State fMRI Functional Connectivity

Janine Bijsterbosch, Stephen M. Smith, and Christian F. Beckmann

[3] https://fsl.fmrib.ox.ac.uk/fslcourse/

Website

N/A