2022
DOI: 10.3390/biology11030371
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Mimicking CA3 Temporal Dynamics Controls Limbic Ictogenesis

Abstract: Mesial temporal lobe epilepsy (MTLE) is the most common partial complex epilepsy in adults and the most unresponsive to medications. Electrical deep brain stimulation (DBS) of the hippocampus has proved effective in controlling seizures in epileptic rodents and in drug-refractory MTLE patients. However, current DBS paradigms implement arbitrary fixed-frequency or patterned stimuli, disregarding the temporal profile of brain electrical activity. The latter, herein included hippocampal spontaneous firing, has be… Show more

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Cited by 6 publications
(23 citation statements)
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References 68 publications
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“…Ictal events were defined based on tonic-like or tonic-clonic-like signal features, disregarding duration cut-off criteria commonly used by other works in the field. Ictal activity was labeled either manually or by means of an automated seizure detection algorithm based on Daubechies discrete wavelet transform type 4 [46], followed by multiple resolution analysis (as in [15]). Detected events were confirmed/corrected by visual inspection as applicable.…”
Section: Discussionmentioning
confidence: 99%
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“…Ictal events were defined based on tonic-like or tonic-clonic-like signal features, disregarding duration cut-off criteria commonly used by other works in the field. Ictal activity was labeled either manually or by means of an automated seizure detection algorithm based on Daubechies discrete wavelet transform type 4 [46], followed by multiple resolution analysis (as in [15]). Detected events were confirmed/corrected by visual inspection as applicable.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, the bridge robustness to failure may reside in the preserved temporal statistics of the relayed interictal events. [15]), indicating that the inter-pulse intervals represent a subset of the same population. * p < 0.05; ** p < 0.01; *** p < 0.001.…”
Section: The Bridge Is Robust To Ca3 Functional Impairmentmentioning
confidence: 99%
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“…For pulse distribution parameters, we computed the geometric mean () and standard deviation (), since the inter-pulse intervals were lognormally distributed (cf. 18 ); the coefficient of variation (CV) was computed as /.…”
Section: Methodsmentioning
confidence: 99%