Rosch, ER;
Cooray, G;
Friston, KJ;
(2017)
Dynamic Causal Modelling of Dynamic Dysfunction in NMDA-Receptor Antibody Encephalitis.
In: Erdi, P and Bhattacharya, BS and Cochran, A, (eds.)
Computational Neurology and Psychiatry.
(pp. 121-148).
Springer: Cham, Switzerland.
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Abstract
Using electroencephalography (EEG) dynamic brain function can be measured and its abnormalities identified and described. However, inferring pathological mechanisms from EEG recordings is an ill-posed, inverse problem. Here we illustrate the use of neural mass model based dynamic causal modelling to address this inverse problem. Using Bayesian model inversion and model comparison, DCM allows evaluation of different hypotheses regarding pathomechanisms leading to dynamic brain dysfunction in NMDA receptor encephalitis.
| Type: | Book chapter |
|---|---|
| Title: | Dynamic Causal Modelling of Dynamic Dysfunction in NMDA-Receptor Antibody Encephalitis |
| ISBN-13: | 978-3-319-49959-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-49959-8_6 |
| Publisher version: | https://doi.org/10.1007/978-3-319-49959-8_6 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Model Inversion, Model Evidence, Neural Mass Model, Dynamic Causal Modelling, NMDAR Antibody |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1569667 |
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