BrainConn

Introduction

My name is Amit Jaiswal and I am Doctoral student at Aalto University in NBE group. This is my work repository under course NBE-E4530 Human Brain Connectivity.

Expected learnings

1. Application of Graph theory

• To be clear about nodes, edges in human brain.
• What to consider in which case

2. Difference in data handeling in case of different modalities

• Differeces to consider in difference data
• Useful measurements to consider
• Task related vs resting state

3. Considerable parameters and methods

• Improtance of preprocessing in connectivity analysis
• Methods for analysis
• Sensor level vs source level?
• Individial level vs Group level

4. Visualization

• Efficient visualization of underneath network
• What to show what and what not?

5. Result interpretation

• What to conclude from the result graphs
• How to correlate the findings with brain functions

6. Other pros and cons

• Applications and Limitations
• Further possibile developments
• Clinical applicability and reliability

Expected hands-on and practice

1. Hands on exercise
2. Work on real data (MEG data)
3. Write own codes for analysis (in Matlab)

Course Credit

• I need credit for my Doctoral course work.