fMRI Course


Language of the fMRI Course will be in Turkish.

Kurs dili Türkçe olacaktır.

Introduction to fMRI – Physiological Basis of BOLD Signal
Brain Connectivity and Networks
Experimental Design for fMRI Studies – Task-Based and Resting-State Recordings

Practical Session: Experimental Design for fMRI Studies

Preprocessing of fMRI Data

Practical Session: Preprocessing of fMRI Data

Univariate Analysis of fMRI Data – Parametric, and Non-Parametric Approaches

General Linear Model (GLM)

Practical Session: GLM (SPM)

Critics on Univariate Parametric Approaches

Non-Parametric Univariate Approaches: Permutation Tests

Practical Session : Permutation Based t-Test

Multivariate Analysis of fMRI Data

Correlation-Based Connectivity Analyses

Practical Session : SPM/Conn Software

Independent Component Analysis

Practical Session : GIFT / FSL-MELODIC

Dynamic Functional Connectivity Analyses

Sliding Window and Temporal ICA

Time-Frequency Analysis

Supporting Approaches Based on Structural MRI

Structural Connectivity – Diffusion Tensor Imaging (DTI) and Tractography

Practical Session : DTI Analysis (FSL – TBSS)

Practical Session: Tractography

Multimodal Parcellation of Gray Matter

Presentation and Discussion of the COBIDAS (The OHBM Committee on Best Practice in Data Analysis and Sharing) Report on MRI Research
Questions & Answers

 

Instructors:
Metehan Çiçek – Ankara University, Brain Research Center (BAUM)
Tamer Demiralp – Istanbul University, Hulusi Behcet Life Sciences Research Lab.
Ali Bayram – Istanbul University, Aziz Sancar Institute of Experimental Medicine, Dept. of Neuroscience
Emre Kale – Ankara University, Brain Research Center (BAUM)
Sertaç Üstün – Ankara University, Medical Faculty, Dept. of Physiology
Elif Kurt – Istanbul University, Aziz Sancar Institute of Experimental Medicine, Dept. of Neuroscience
Çiğdem Ulaşoğlu Yıldız – Istanbul University, Hulusi Behcet Life Sciences Research Lab.