[HTML][HTML] Functional connectivity of interictal iEEG and the connectivity of high-frequency components in epilepsy

C Stergiadis, DM Halliday, D Kazis… - Brain Organoid and …, 2023 - Elsevier
Epilepsy is a disease of altered brain networks. The monitoring and analysis of functional
connectivity and network properties can yield a better understanding of the underlying …

A scoping review of the relationship between alcohol, memory consolidation and ripple activity: An overview of common methodologies to analyse ripples

M Ruelas, L Medina‐Ceja… - European Journal of …, 2023 - Wiley Online Library
Alcohol abuse is not only responsible for 5.3% of the total deaths in the world but also has a
substantial impact on neurological and memory disabilities throughout the population. One …

Epilepsy disrupts hippocampal phase precision and impairs working memory

ON Arski, SM Wong, NM Warsi, E Pang, E Kerr… - …, 2022 - Wiley Online Library
Objective Working memory deficits are prevalent in childhood epilepsy. Working memory
processing is thought to be supported by the phase of hippocampal neural oscillations …

Implementation of a morphological filter for removing spikes from the epileptic brain signals to improve identification ripples

AF Al-Bakri, R Martinek, M Pelc, J Zygarlicki… - Sensors, 2022 - mdpi.com
Epilepsy is a very common disease affecting at least 1% of the population, comprising a
number of over 50 million people. As many patients suffer from the drug-resistant version …

Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy

T Monsoor, Y Zhang, A Daida, S Oana, Q Lu… - Clinical …, 2023 - Elsevier
Objective This study aimed to explore sensitive detection methods for pathological high-
frequency oscillations (HFOs) to improve seizure outcomes in epilepsy surgery. Methods We …

Phase resetting in the anterior cingulate cortex subserves childhood attention and is impaired by epilepsy

SM Wong, ON Arski, NM Warsi, EW Pang… - Cerebral …, 2022 - academic.oup.com
The neural mechanisms that underlie selective attention in children are poorly understood.
By administering a set-shifting task to children with intracranial electrodes stereotactically …

[HTML][HTML] Epileptic tissue localization using graph-based networks in the high frequency oscillation range of intracranial electroencephalography

C Stergiadis, D Kazis, MA Klados - Seizure: European Journal of Epilepsy, 2024 - Elsevier
Abstract Purpose High frequency oscillations (HFOs) are an emerging biomarker of
epilepsy. However, very few studies have investigated the functional connectivity of interictal …

Efficient detection of high-frequency biomarker signals of epilepsy by a transfer-learning-based Convolutional Neural Network

Y Takayanagi, Y Takayama, K Iijima… - Advanced Biomedical …, 2021 - jstage.jst.go.jp
High-frequency oscillation (HFO) is an important electrophysiological biomarker for
estimating the epileptogenic zone in patients with epilepsy, but its clinical use is limited due …

Machine Learning-Based Cascade Filtering System for fNIRS Data Analysis

M Pelc, D Mikołajewski, T Ruotsalo… - 2023 Progress in …, 2023 - ieeexplore.ieee.org
This paper presents a preliminary study on the use of machine learning-based methods to
select the appropriate parameters of cascade filters in the analysis of brain signals recorded …

Automatic High-Frequency Oscillations Detection Using Time-Frequency Analysis

E Mirzakhalili, CD Adam, AV Ulyanova… - 2023 11th …, 2023 - ieeexplore.ieee.org
The role of high-frequency oscillations (HFO) has been established in a multitude of the
brain functions such as retrieval and consolidation of memory. Moreover, HFOs have been …