Pannexin-1 deficiency decreases epileptic activity in mice

MS Aquilino, P Whyte-Fagundes, MK Lukewich… - International Journal of …, 2020 - mdpi.com
Objective: Pannexin-1 (Panx1) is suspected of having a critical role in modulating neuronal
excitability and acute neurological insults. Herein, we assess the changes in behavioral and …

Percept-related EEG classification using machine learning approach and features of functional brain connectivity

AE Hramov, V Maksimenko, A Koronovskii… - … Journal of Nonlinear …, 2019 - pubs.aip.org
Machine learning is a promising approach for electroencephalographic (EEG) trials
classification. Its efficiency is largely determined by the feature extraction and selection …

Wavelet entropy of stochastic processes

L Zunino, DG Pérez, M Garavaglia, OA Rosso - Physica A: Statistical …, 2007 - Elsevier
We compare two different definitions for the wavelet entropy associated to stochastic
processes. The first one, the normalized total wavelet entropy (NTWS) family [S. Blanco, A …

A potential compensatory role of Panx3 in the VNO of a Panx1 knock out mouse model

P Whyte-Fagundes, S Kurtenbach, C Zoidl… - Frontiers in molecular …, 2018 - frontiersin.org
Pannexins (Panx) are integral membrane proteins, with Panx1 being the best-characterized
member of the protein family. Panx1 is implicated in sensory processing, and knockout (KO) …

Daily rhythmic behaviors and thermoregulatory patterns are disrupted in adult female MeCP2-deficient mice

RG Wither, S Colic, C Wu, BL Bardakjian, L Zhang… - PLoS …, 2012 - journals.plos.org
Mutations in the X-linked gene encoding Methyl-CpG-binding protein 2 (MECP2) have been
associated with neurodevelopmental and neuropsychiatric disorders including Rett …

Characterization of seizure-like events recorded in vivo in a mouse model of Rett syndrome

S Colic, RG Wither, L Zhang, JH Eubanks… - Neural networks, 2013 - Elsevier
Rett syndrome is a neurodevelopmental disorder caused by mutations in the X-linked gene
encoding methyl-CpG-binding protein 2 (MECP2). Spontaneous recurrent discharge …

Complexity in neuronal noise depends on network interconnectivity

D Serletis, OC Zalay, TA Valiante… - Annals of biomedical …, 2011 - Springer
Abstract “Noise,” or noise-like activity (NLA), defines background electrical membrane
potential fluctuations at the cellular level of the nervous system, comprising an important …

System characterization of neuronal excitability in the hippocampus and its relevance to observed dynamics of spontaneous seizure-like transitions

OC Zalay, D Serletis, PL Carlen… - Journal of neural …, 2010 - iopscience.iop.org
Most forms of epilepsy are marked by seizure episodes that arise spontaneously. The low-
magnesium/high-potassium (low-Mg 2+/high-K+) experimental model of epilepsy is an acute …

Online prediction of onsets of seizure-like events in hippocampal neural networks using wavelet artificial neural networks

AWL Chiu, EE Kang, M Derchansky, PL Carlen… - Annals of biomedical …, 2006 - Springer
It has been previously shown that wavelet artificial neural networks (WANNs) are able to
classify the different states of epileptiform activity and predict the onsets of seizure-like …

Wavelet-based Gaussian-mixture hidden Markov model for the detection of multistage seizure dynamics: A proof-of-concept study

AWL Chiu, M Derchansky, M Cotic, PL Carlen… - Biomedical engineering …, 2011 - Springer
Background Epilepsy is a common neurological disorder characterized by recurrent
electrophysiological activities, known as seizures. Without the appropriate detection …