腦功能連結分析

Content: Course orientation Homework for the next week: Install Matlab and SPM12

Content: Introduction to fMRI data preprocessing using SPM (I) • What is SPM? Basic preprocessing steps of fMRI data • Introduction to dataset • Handout of dataset Homework for the next week: Import data into SPM Preprocess data of all 10 subjects Install DPARSF Read DPARSF and DPABI papers

Content: Introduction to fMRI data preprocessing using SPM (II) • Student discussion of data preprocessing • How to quality check your data Conceptual introduction to functional brain connectivity Functional connectivity using DPARSF • How to preprocess data in DPARSF (linear detrend, regression, filter) • Define seed points • Run FC analysis • How to setup a contrast • How to do 1-sample t-test in SPM Homework for the next week: Choose RSN papers to read Preprocess data in DPARSF for next week calculate FC and SPM

Content: Student presentation (30 min) of RSN papers Homework for the next week: Hand out DMN and SAL papers to read Choose a paper using DPARSF and seed analysis Make a presentation of the selected paper

Content: Student presentation (20-30 min) of selected paper Homework for the next week: Do seed-based analysis and calculate FC for selected seed point Prepare presentation of seed analysis

Content: Student presentation of selected seed point analysis (compare with paper) More about SPM • What is the meaning of the files generated by SPM? What is the GLM? Homework for the next week: Read paper about MATLAB toolbox (Zhou et al., 2009)

Children's Day and Qingming Festival Holiday

Content: Other types of functional connectivity • MATLAB toolbox • Time lag • Coherence • Mutual information Show how to extract time series in DPARSF Other programs for visualization and atlases • MNI coordinates • XJVIEW • MRIcron • WFU pickatlas AAL3 Homework for the next week: Extract time series for multiple ROIs and do further analysis Prepare presentation for next week

Content: Students present their findings of time-series analysis Homework for the next week: Read GSR papers

Content: Issues with global signal regression • What is global signal regression? Why is it a problem? The multiple comparisons issue • What is it? • Different approaches (FDR, FWE, cluster vs voxel, TFCE) Homework for the next week: Recalculate FC with GSR and compare with old results Prepare presentation of GSR results

Content: Student presentations of results and feedback • With vs. without GSR Homework for the next week: Calculate global signal as a seed and do FC, SPM, time-lag etc.

Content: Student presentations of results and feedback • Seed-to-seed FC and the relationship with FC from whole-brain mask (global signal) Homework for the next week: Install GIFT toolbox Read ICA papers

Content: Introduction to ICA • What is ICA? • Noise removal • Identification of functional networks • Introduction to GIFT toolbox Homework for the next week: Do ICA on smoothed data Prepare presentation of ICA results

Content: Student presentation of ICA results • Discussion of issues with data processing for the report Homework for the next week: Calculate SPM regression with GS STD or RMS for seed points (positive/ negative contrasts)

Content: • Student presentation regression results #1 Homework for the next week: Write final report

Content: • Student presentation regression results #2 Homework for the next week: Write final report