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Epilepsy is one of the most common neurological disorders, affecting about 1% of the population at all ages. Detecting the development of epilepsy, i.e., epileptogenesis (EPG), before any seizures occur could allow for early interventions…

Machine Learning · Computer Science 2020-06-18 Diyuan Lu , Sebastian Bauer , Valentin Neubert , Lara Sophie Costard , Felix Rosenow , Jochen Triesch

A normative electrographic activity map could be a powerful resource to understand normal brain function and identify abnormal activity. Here, we present a normative brain map using scalp EEG in terms of relative band power. In this…

Neurons and Cognition · Quantitative Biology 2023-04-07 Vytene Janiukstyte , Thomas W Owen , Umair J Chaudhary , Beate Diehl , Louis Lemieux , John S Duncan , Jane de Tisi , Yujiang Wang , Peter N Taylor

Objective: Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous seizures, which affects about one percent of the world's population. Most of the current seizure detection approaches strongly rely on…

Signal Processing · Electrical Eng. & Systems 2020-02-04 Xiang Zhang , Lina Yao , Manqing Dong , Zhe Liu , Yu Zhang , Yong Li

Objectives: This study examined whether currently existing clinical structural magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (18FDG-PET) capabilities and board-certified radiologists' reports and…

Neurons and Cognition · Quantitative Biology 2024-11-08 Rowena Mobbs , Fatima Nasrallah , Xuan Vinh To , John Magnussen , Jennifer Batchelor , Edward Hsiao , Mark Walterfang

Epilepsy is a disorder of the nervous system that can affect people of any age group. With roughly 50 million people worldwide diagnosed with the disorder, it is one of the most common neurological disorders. The EEG is an indispensable…

Populations and Evolution · Quantitative Biology 2022-02-21 Niamh McCallan , Scot Davidson , Kok Yew Ng , Pardis Biglarbeigi , Dewar Finlay , Boon Leong Lan , James McLaughlin

Prior work on the Image Quality Transfer on Diffusion MRI (dMRI) has shown significant improvement over traditional interpolation methods. However, the difficulty in obtaining ultra-high resolution Diffusion MRI scans poses a problem in…

Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach. Manual inspection of EEG brain signals is a time-consuming and laborious process, which puts heavy burden on neurologists…

Computer Vision and Pattern Recognition · Computer Science 2018-01-17 Ihsan Ullah , Muhammad Hussain , Emad-ul-Haq Qazi , Hatim Aboalsamh

Electrophysiological observation plays a major role in epilepsy evaluation. However, human interpretation of brain signals is subjective and prone to misdiagnosis. Automating this process, especially seizure detection relying on scalp-based…

Machine Learning · Computer Science 2018-07-06 David Ahmedt-Aristizabal , Clinton Fookes , Kien Nguyen , Sridha Sridharan

Complex spatial connectivity patterns, such as interictal suppression and ictal propagation, complicate accurate drug-resistant epilepsy (DRE) seizure detection using stereotactic electroencephalography (SEEG) and traditional machine…

Signal Processing · Electrical Eng. & Systems 2025-12-03 Yiping Wang , Peiren Wang , Zhenye Li , Fang Liu , Jinguo Huang

This paper asks whether integrating multimodal EEG and fMRI data offers a better characterisation of functional brain architectures than either modality alone. This evaluation rests upon a dynamic causal model that generates both EEG and…

Quantitative Methods · Quantitative Biology 2019-06-19 Huilin Wei , Amirhossein Jafarian , Peter Zeidman , Vladimir Litvak , Adeel Razi , Dewen Hu , Karl J. Friston

Focal epilepsy is a devastating neurological disorder that affects an overwhelming number of patients worldwide, many of whom prove resistant to medication. The efficacy of current innovative technologies for the treatment of these patients…

We localize the sources of brain activity of children with epilepsy based on EEG recordings acquired during a visual discrimination working memory task. For the numerical solution of the inverse problem, with the aid of age-specific MRI…

Neurons and Cognition · Quantitative Biology 2023-03-16 Evangelos Galaris , Ioannis Gallos , Ivan Myatchin , Lieven Lagae , Constantinos Siettos

We investigate the suitability of selected measures of complexity based on recurrence quantification analysis and recurrence networks for an identification of pre-seizure states in multi-day, multi-channel, invasive electroencephalographic…

State-of-the-art performance in electroencephalography (EEG) decoding tasks is currently often achieved with either Deep-Learning (DL) or Riemannian-Geometry-based decoders (RBDs). Recently, there is growing interest in Deep Riemannian…

Machine Learning · Computer Science 2024-11-12 Daniel Wilson , Robin Tibor Schirrmeister , Lukas Alexander Wilhelm Gemein , Tonio Ball

\hspace{2mm} Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique capabilities including noninvasive probing of tissue microstructure and structural connectivity. It is widely used for clinical assessment of…

Image and Video Processing · Electrical Eng. & Systems 2025-12-30 Davood Karimi , Simon K. Warfield

Objective: Epilepsy is one of the most prevalent neurological diseases among humans and can lead to severe brain injuries, strokes, and brain tumors. Early detection of seizures can help to mitigate injuries, and can be used to aid the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-20 Theekshana Dissanayake , Tharindu Fernando , Simon Denman , Sridha Sridharan , Clinton Fookes

Purpose: Understanding fluctuations of seizure severity within individuals is important for defining treatment outcomes and response to therapy, as well as developing novel treatments for epilepsy. Current methods for grading seizure…

Epilepsy and psychogenic non-epileptic seizures often present with similar seizure-like manifestations but require fundamentally different management strategies. Misdiagnosis is common and can lead to prolonged diagnostic delays,…

Computation and Language · Computer Science 2026-03-31 Shuang Zhou , Kai Yu , Zaifu Zhan , Huixue Zhou , Min Zeng , Feng Xie , Zhiyi Sha , Rui Zhang

Post-traumatic epilepsy (PTE) is a life-long complication of traumatic brain injury (TBI) and is a major public health problem that has an estimated incidence that ranges from 2%-50%, depending on the severity of the TBI. Currently, the…

Quantitative Methods · Quantitative Biology 2020-11-17 Md Navid Akbar , Marianna La Rocca , Rachael Garner , Dominique Duncan , Deniz Erdoğmuş

Background and Objectives: Many biological processes are modulated by rhythms on circadian and multidien timescales. In focal epilepsy, various seizure features, such as spread and duration, can change from one seizure to the next within…

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