Week 1

Cocoan Lab overview (Wani)

L01: Lab overview

• Philosophy
• Research direction
• 성공적인 대학원 생활을 위해서?

Week 2

Data management (Sungwoo & Jihoon)

• Neuroimaging data type
• Cocoan data structure
• Github

Week 3

Doing fMRI experiments (Hongji & Byeol)

• What you need to do for fMRI experiments (e.g., MR safety training, IRB, etc.)
• fMRI data collection, considerations

Week 4

Preprocessing and data QC 1 (Byeol, Hongji, and Wani)

• Matlab 기초, intro to PTB
• Preprocessing, QC - cocoanprep
• Canlab tools, Cocoanlab tools

Week 5

Preprocessing and data QC 2 (Sungwoo & Jaejoong)

• Nipype, fmriprep
• JJprep, FSL, AFNI, etc.

Week 6

First-level fMRI data analysis (Byeol, Hongji & Jungwoo)

• First-level analysis (GLM), Single-trial model, FIR model
• custom regressor
• HRF modeling (derivative, etc.)

Week 7

Second-level fMRI data analysis (Suhwan)

• Second-level analysis (e.g., robust regression), thresholding, multiple comparisons

Week 8

Mediation analysis (Wani & Suhwan)

• Mediation analysis basics
• Mediation dream parallelize

Week 9

Representational Similarity Analysis (Wani)

Week 10

Predictive modeling (whole-brain, searchlight [information]): PCR, SVM (Lada, Soo ahn)

Week 11

Python tools for fMRI (NILearn) (Sungwoo)

Week 12

Functional connectivity & network modeling (from basics to advanced [e.g., multilayer community analysis]) (Jaejoong)

Week 13

Visualization (Wani, Sungwoo, Jiwon, Lada, & Jaejoong)

• basics: MRIcroGL, barplot, boxplot, etc. (matlab)
• python tools (python)
• pycortex (python)
• ggplot (R)
• connectivity

Week 14

Dimensionality reduction (PCA, ICA, NNMF) (Jungwoo & Donghee)