Increasing robustness of pairwise methods for effective connectivity in Magnetic Resonance Imaging by using fractional moment series of BOLD signal distributions

28 Jun 2016 • Natalia Bielczyk • Alberto Llera • Jan Buitelaar • Jeffrey Glennon • Christian Beckmann

Estimating causal interactions in the brain from functional magnetic resonance imaging (fMRI) data remains a formidable task. Multiple studies have demonstrated that essentially all current analytical approaches to determine effective connectivity perform poorly even when applied to synthetic fMRI datasets... (read more)

PDF Abstract

Code

Add Remove Mark official

No code implementations yet. Submit your code now

Tasks

Add Remove

Results from the Paper

Add Remove

Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

METHOD	TYPE
🤖 No Methods Found	Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet

Increasing robustness of pairwise methods for effective connectivity in Magnetic Resonance Imaging by using fractional moment series of BOLD signal distributions

Code Edit Add Remove Mark official

Tasks Edit Add Remove

Results from the Paper Edit Add Remove

Methods used in the Paper Edit Add Remove

Code

Add Remove Mark official

Tasks

Add Remove

Results from the Paper

Add Remove

Methods used in the Paper

Add Remove