Computational Models in Electroencephalography
Open Access
- 29 March 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Brain Topography
- Vol. 35 (1), 142-161
- https://doi.org/10.1007/s10548-021-00828-2
Abstract
Computational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses in silico and predict the outcome of experiments and interactions that are very hard to test in reality. Yet, what is meant by “computational model” is understood in many different ways by researchers in different fields of neuroscience and psychology, hindering communication and collaboration. In this review, we point out the state of the art of computational modeling in Electroencephalography (EEG) and outline how these models can be used to integrate findings from electrophysiology, network-level models, and behavior. On the one hand, computational models serve to investigate the mechanisms that generate brain activity, for example measured with EEG, such as the transient emergence of oscillations at different frequency bands and/or with different spatial topographies. On the other hand, computational models serve to design experiments and test hypotheses in silico. The final purpose of computational models of EEG is to obtain a comprehensive understanding of the mechanisms that underlie the EEG signal. This is crucial for an accurate interpretation of EEG measurements that may ultimately serve in the development of novel clinical applications.Keywords
Funding Information
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (170873)
- Fundacao para a Ciia e a Tecnologia (CEECIND/03325/2017)
- Tiny Blue Dot Foundation
- Tuscany Regional Government
- National Institutes of Health (R01NS092802, RF1AG062196, R56AG064873)
- Fondation Asile des Aveugles (232933)
- Université de Lausanne
This publication has 210 references indexed in Scilit:
- The Virtual Brain: a simulator of primate brain network dynamicsFrontiers in Neuroscience, 2013
- Computational modeling of epilepsy for an experimental neurologistExperimental Neurology, 2012
- How Local Is the Local Field Potential?Neuron, 2011
- Effects of the anesthetic agent propofol on neural populationsCognitive Neurodynamics, 2009
- Macroscopic Models of Local Field Potentials and the Apparent 1/f Noise in Brain ActivityBiophysical Journal, 2009
- Dynamic causal modelling for EEG and MEGCognitive Neurodynamics, 2008
- A neural mass model of spectral responses in electrophysiologyNeuroImage, 2007
- A theoretical basis for standing and traveling brain waves measured with human EEG with implications for an integrated consciousnessClinical Neurophysiology, 2006
- Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columnsBiological Cybernetics, 1995
- A mathematical theory of the functional dynamics of cortical and thalamic nervous tissueKybernetik, 1973