2021
DOI: 10.1016/j.brs.2021.10.282
|View full text |Cite
|
Sign up to set email alerts
|

An individualized Neural Mass Model of ictal activity based on GABA-A pathology for personalization of brain stimulation protocols in epilepsy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…More specifically, large networks of 10 thousand neurons showed the longer-lasting effects on ED decrease, while small networks of 250 neurons only showed immediate effects. Recently, following the work of Wendling et al ( 2002 ) and Lopez-Sola et al ( 2021 ) provide a laminar NMM capable of realistically reproducing the electrical activity recorded by SEEG in the epileptogenic zone during interictal to ictal states. A novel element in the model is a physiologically motivated algorithm for chloride dynamics: the gain of GABAergic post-synaptic potentials is modulated by the pathological accumulation of chloride in pyramidal cells due to high inhibitory input and/or dysfunctional chloride transport.…”
Section: Resultsmentioning
confidence: 99%
“…More specifically, large networks of 10 thousand neurons showed the longer-lasting effects on ED decrease, while small networks of 250 neurons only showed immediate effects. Recently, following the work of Wendling et al ( 2002 ) and Lopez-Sola et al ( 2021 ) provide a laminar NMM capable of realistically reproducing the electrical activity recorded by SEEG in the epileptogenic zone during interictal to ictal states. A novel element in the model is a physiologically motivated algorithm for chloride dynamics: the gain of GABAergic post-synaptic potentials is modulated by the pathological accumulation of chloride in pyramidal cells due to high inhibitory input and/or dysfunctional chloride transport.…”
Section: Resultsmentioning
confidence: 99%