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Title: Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy
Authors: Sinha, Nishant
Wang, Yujiang
Dauwels, Justin
Kaiser, Marcus
Thesen, Thomas
Forsyth, Rob
Taylor, Peter Neal
Keywords: Computational Model
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Sinha, N., Wang, Y., Dauwels, J., Kaiser, M., Thesen, T., Forsyth, R., & Taylor, P. N. (2019). Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy. NeuroImage: Clinical, 21, 101655-. doi:10.1016/j.nicl.2019.101655
Series/Report no.: NeuroImage: Clinical
Abstract: Patients with idiopathic generalised epilepsy (IGE) typically have normal conventional magnetic resonance imaging (MRI), hence diagnosis based on MRI is challenging. Anatomical abnormalities underlying brain dysfunctions in IGE are unclear and their relation to the pathomechanisms of epileptogenesis is poorly understood. In this study, we applied connectometry, an advanced quantitative neuroimaging technique for investigating localised changes in white-matter tissues in vivo. Analysing white matter structures of 32 subjects we incorporated our in vivo findings in a computational model of seizure dynamics to suggest a plausible mechanism of epileptogenesis. Patients with IGE have significant bilateral alterations in major white-matter fascicles. In the cingulum, fornix, and superior longitudinal fasciculus, tract integrity is compromised, whereas in specific parts of tracts between thalamus and the precentral gyrus, tract integrity is enhanced in patients. Combining these alterations in a logistic regression model, we computed the decision boundary that discriminated patients and controls. The computational model, informed with the findings on the tract abnormalities, specifically highlighted the importance of enhanced cortico-reticular connections along with impaired cortico-cortical connections in inducing pathological seizure-like dynamics. We emphasise taking directionality of brain connectivity into consideration towards understanding the pathological mechanisms; this is possible by combining neuroimaging and computational modelling. Our imaging evidence of structural alterations suggest the loss of cortico-cortical and enhancement of cortico-thalamic fibre integrity in IGE. We further suggest that impaired connectivity from cortical regions to the thalamic reticular nucleus offers a therapeutic target for selectively modifying the brain circuit for reversing the mechanisms leading to epileptogenesis.
ISSN: 2213-1582
DOI: 10.1016/j.nicl.2019.101655
Rights: © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
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