Dynamic causal modelling of seizure activity in a rat model

Margarita Papadopoulou; Gerald  Cooray; Richard Rosch; Rosalyn Moran; Daniele  Marinazzo; Karl Friston

doi:10.1016/j.neuroimage.2016.08.062

Dynamic causal modelling of seizure activity in a rat model

Margarita Papadopoulou, Gerald Cooray, Richard Rosch, Rosalyn Moran, Daniele Marinazzo, Karl Friston

Department of Engineering Mathematics

Research output: Contribution to journal › Article (Academic Journal) › peer-review

23 Citations (Scopus)

443 Downloads (Pure)

Abstract

This paper presents a physiological account of seizure activity and its evolution over time using a rat model of induced epilepsy. We analyse spectral activity recorded in the hippocampi of three rats who received kainic acid injections in the right hippocampus .We use dynamic causal modelling of seizure activity and Bayesian model reduction to identify the key synaptic and activity parameters that underlie seizure onset. Using recent advances in hierarchical modelling (parametric empirical Bayes), we characterise seizure onset in terms of slow fluctuations in synaptic excitability of specific neuronal populations. Our results suggest differences in the pathophysiology of seizure activity in the lesioned versus the non-lesioned hippocampus – with larger changes in inhibition, excitation and temporal summation on the lesioned side.

Original language	English
Pages (from-to)	518-532
Number of pages	15
Journal	NeuroImage
Volume	146
Early online date	14 Sept 2016
DOIs	https://doi.org/10.1016/j.neuroimage.2016.08.062
Publication status	Published - 1 Feb 2017

Access to Document

10.1016/j.neuroimage.2016.08.062

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at http://www.sciencedirect.com/science/article/pii/S1053811916304542. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 1.79 MBLicence: CC BY-NC-ND

Handle.net

Persistent link

Cite this

@article{dfba10025355408dbe255340c6e87b51,

title = "Dynamic causal modelling of seizure activity in a rat model",

abstract = "This paper presents a physiological account of seizure activity and its evolution over time using a rat model of induced epilepsy. We analyse spectral activity recorded in the hippocampi of three rats who received kainic acid injections in the right hippocampus .We use dynamic causal modelling of seizure activity and Bayesian model reduction to identify the key synaptic and activity parameters that underlie seizure onset. Using recent advances in hierarchical modelling (parametric empirical Bayes), we characterise seizure onset in terms of slow fluctuations in synaptic excitability of specific neuronal populations. Our results suggest differences in the pathophysiology of seizure activity in the lesioned versus the non-lesioned hippocampus – with larger changes in inhibition, excitation and temporal summation on the lesioned side.",

author = "Margarita Papadopoulou and Gerald Cooray and Richard Rosch and Rosalyn Moran and Daniele Marinazzo and Karl Friston",

year = "2017",

month = feb,

day = "1",

doi = "10.1016/j.neuroimage.2016.08.062",

language = "English",

volume = "146",

pages = "518--532",

journal = "NeuroImage",

issn = "1053-8119",

publisher = "Elsevier",

}

TY - JOUR

T1 - Dynamic causal modelling of seizure activity in a rat model

AU - Papadopoulou, Margarita

AU - Cooray, Gerald

AU - Rosch, Richard

AU - Moran, Rosalyn

AU - Marinazzo, Daniele

AU - Friston, Karl

PY - 2017/2/1

Y1 - 2017/2/1

N2 - This paper presents a physiological account of seizure activity and its evolution over time using a rat model of induced epilepsy. We analyse spectral activity recorded in the hippocampi of three rats who received kainic acid injections in the right hippocampus .We use dynamic causal modelling of seizure activity and Bayesian model reduction to identify the key synaptic and activity parameters that underlie seizure onset. Using recent advances in hierarchical modelling (parametric empirical Bayes), we characterise seizure onset in terms of slow fluctuations in synaptic excitability of specific neuronal populations. Our results suggest differences in the pathophysiology of seizure activity in the lesioned versus the non-lesioned hippocampus – with larger changes in inhibition, excitation and temporal summation on the lesioned side.

AB - This paper presents a physiological account of seizure activity and its evolution over time using a rat model of induced epilepsy. We analyse spectral activity recorded in the hippocampi of three rats who received kainic acid injections in the right hippocampus .We use dynamic causal modelling of seizure activity and Bayesian model reduction to identify the key synaptic and activity parameters that underlie seizure onset. Using recent advances in hierarchical modelling (parametric empirical Bayes), we characterise seizure onset in terms of slow fluctuations in synaptic excitability of specific neuronal populations. Our results suggest differences in the pathophysiology of seizure activity in the lesioned versus the non-lesioned hippocampus – with larger changes in inhibition, excitation and temporal summation on the lesioned side.

U2 - 10.1016/j.neuroimage.2016.08.062

DO - 10.1016/j.neuroimage.2016.08.062

M3 - Article (Academic Journal)

C2 - 27639356

SN - 1053-8119

VL - 146

SP - 518

EP - 532

JO - NeuroImage

JF - NeuroImage

ER -

Dynamic causal modelling of seizure activity in a rat model

Abstract

Access to Document

Handle.net

Fingerprint

Cite this