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Review ArticleReview Article
Open Access

Neuronal network models of epileptogenesis

Aminu T. Abdullahi and Lawan H. Adamu
Neurosciences Journal April 2017, 22 (2) 85-93; DOI: https://doi.org/10.17712/nsj.2017.2.20160455
Aminu T. Abdullahi
From the Department of Psychiatry (Abdullahi), Aminu Kano Teaching Hospital, Department of Anatomy (Adamu), Faculty of Basic Medical Sciences, Bayero University, Kano, Nigeria
MBBS, Msc
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Lawan H. Adamu
From the Department of Psychiatry (Abdullahi), Aminu Kano Teaching Hospital, Department of Anatomy (Adamu), Faculty of Basic Medical Sciences, Bayero University, Kano, Nigeria
BSc. MSc
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    Figure 1

    - Basic components of the neuronal network.

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    Figure 2

    - Basic graph theoretical parameters.

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    Figure 3

    - Network pathway analyses using dynamic causal modelling.

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    Table 1

    Data sources, parameters and characteristics of the 2 models for neuronal network analyses.

    ModelsData source13,24-26Parameters35,21,25Strenghts17-21Weaknesses35Utility36
    Graph TheoryEEG, fMRI, Histologyi. Path length
    ii. Clustering coefficient
    iii. Centrality matrix
    i. Captures ictal and interictal events as intrinsic to the network.
    ii. Data sets could be generated and compared with each other for validation.
    i. Requires separate models for effective versus functional connectivity.
    ii. Analysis of effective connectivity often leads to heavy computational load
    Good for assessing extent of network changes relating to the interictal state
    DCMfMRI, EEGi. Correlation
    ii. Covariance
    iii. Coherence
    Incorporates directionality and therefore, effective connectivity as a basic aspect of analysisi. Assumes triggers of ictal and interictal events to be extraneous to the network under investigation.
    ii. Heavily constrained by spatial and temporal resolution of data source.
    Good for identifying seizure onset zone
    • fMRI - Functional magnetic resonance imaging, DCM - dynamic causal modelling, EEG-Electroencephalography

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    Table 2

    Comparison between focal and general epilepsy with respect to network changes.

    Syndrome typeStructures affected1,41,43,65-68Network changes14,62-65Implication40,51-53
    Focal epilepsy (e.g TLE)Lateral temporal, entorhinal, inferior frontal cortices, subcortical nuclei (the amygdala and medial thalamus), posterior cingulate, precuneus, inferior parietal, and medial prefrontal corticesA shift from small to world configuration towards a random configuration. a shift towards a more regular network organization. Decreased connectivity between hippocampi, decreased connectivity between the hippocampus and the orbito-frontal cortex.TLE is not restricted to the mesiotemporal lobe structures
    Generalized epilepsy (e.g Childhood Absence Epilepsy)Thalamo-cortical, Precuneus, posterior cingulate gyrus prefrontal cortex, temporal cortex and cerebellumFocal cortical changes in precuneus precede changes in the thalamus. Increase in connectivity in the frontal cortex, temporal cortex and the cerebellum. Preservation of normal network topologyGeneralized epilepsies are associated with a number of focal abnormalities.
    TLE- Temporal lobe epilepsy
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Neurosciences Journal: 22 (2)
Neurosciences Journal
Vol. 22, Issue 2
1 Apr 2017
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Neuronal network models of epileptogenesis
Aminu T. Abdullahi, Lawan H. Adamu
Neurosciences Journal Apr 2017, 22 (2) 85-93; DOI: 10.17712/nsj.2017.2.20160455

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Neuronal network models of epileptogenesis
Aminu T. Abdullahi, Lawan H. Adamu
Neurosciences Journal Apr 2017, 22 (2) 85-93; DOI: 10.17712/nsj.2017.2.20160455
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© 2025 Neurosciences Journal Neurosciences is copyright under the Berne Convention and the International Copyright Convention. All rights reserved. Neurosciences is an Open Access journal and articles published are distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC). Readers may copy, distribute, and display the work for non-commercial purposes with the proper citation of the original work. Electronic ISSN 1658-3183. Print ISSN 1319-6138.

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