The connected brain: Causality, models and intrinsic dynamics
Not on the map. Why?
Abstract (arXiv)
Recently, there have been several concerted international efforts - the BRAIN initiative, European Human Brain Project and the Human Connectome Project, to name a few - that hope to revolutionize our understanding of the connected brain. Over the past two decades, functional neuroimaging has emerged as the predominant technique in systems neuroscience. This is foreshadowed by an ever increasing number of publications on functional connectivity, causal modeling, connectomics, and multivariate analyses of distributed patterns of brain responses. In this article, we summarize pedagogically the (deep) history of brain mapping. We will highlight the theoretical advances made in the (dynamic) causal modelling of brain function - that may have escaped the wider audience of this article - and provide a brief overview of recent developments and interesting clinical applications. We hope that this article will engage the signal processing community by showcasing the inherently multidisciplinary nature of this important topic and the intriguing questions that are being addressed.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Feb 2016.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 1.
4 papers.
- 2023Discovering Causal Relations and Equations from Datacited by 33
- 2024Graph-Based Representation Learning of Neuronal Dynamics and Behaviorcited by 2
- 2023Extracting the Multiscale Causal Backbone of Brain Dynamicscited by 1
- 2021Identification of brain states, transitions, and communities using functional MRIcited by 0
- 2024Graph-Based Representation Learning of Neuronal Dynamics and Behavior1 Oct 2024
- 2023Extracting the Multiscale Causal Backbone of Brain Dynamics31 Oct 2023
- 2023Discovering Causal Relations and Equations from Data21 May 2023
- 2021Identification of brain states, transitions, and communities using functional MRI26 Jan 2021