Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches

Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches

In the past two decades, functional Magnetic Resonance Imaging (fMRI) has been used to relate neuronal network activity to cognitive processing and behavior. Recently this approach has been augmented by algorithms that allow us to infer causal links between component populations of neuronal networks...

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Bibliographic Details
Main Authors: Natalia Z. Bielczyk, Sebo Uithol, Tim van Mourik, Paul Anderson, Jeffrey C. Glennon, Jan K. Buitelaar
Format: Article
Language:English
Published: The MIT Press 2019-02-01
Series:Network Neuroscience
Subjects:
Causal inference
Effective connectivity
Functional Magnetic Resonance Imaging
Dynamic Causal Modeling
Granger Causality
Structural Equation Modeling
Bayesian Nets
Directed Acyclic Graphs
Pairwise inference
Large-scale brain networks
Online Access:https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00062

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https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00062

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