Workshop: Application of Graph Theory and Deep Learning to Brain Connectivity

Dates: 

27/October, 17/November and 1/December. 

For more information and registration, please click here.

We will introduce you to novel brain connectivity tools based on graph theory, dynamic connectivity and deep learning and show you how you can use them to extract more information from your structural MRI (T1-weighted or DWI), functional MRI (resting-state or task-based) and PET data. 
 

The 1st lecture will be hybrid, and you can watch here with zoom link:

https://stockholmuniversity.zoom.us/meeting/register/u5wkc-6hrjooGdVrolgQY971hdReDc9frmY1

Participants are encouraged to bring their own data for the hands-on sessions.

Workshop organizers:

Joana Pereira, Department of Neurobiology, Care Sciences and Society, Karolinska Institute
Giovanni Volpe, Department of Physics, University of Gothenburg 
Emiliano Gomez Ruiz, Department of Physics, University of Gothenburg 

Anna Canal Garcia, Department of Neurobiology, Care Sciences and Society, Karolinska Institute

Yu-Wei Chang, Department of Physics, University of Gothenburg 

Location:

Stockholm University Brain Imaging Center (SUBIC)

Svante Arrhenius väg 16A, 114 18 Stockholm