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Predicting disease states from functional brain connectivity is critical for the early diagnosis of severe neurodegenerative diseases such as Alzheimer's Disease and Parkinson's Disease. Existing studies commonly employ Graph Neural…

Machine Learning · Computer Science 2025-04-22 David Yang , Mostafa Abdelmegeed , John Modl , Minjeong Kim

Epilepsy significantly impacts global health, affecting about 65 million people worldwide, along with various animal species. The diagnostic processes of epilepsy are often hindered by the transient and unpredictable nature of seizures.…

Signal Processing · Electrical Eng. & Systems 2026-04-21 Z. Wang , S. Li , Dongrui Wu

Developing effective therapies against epilepsy remains a challenge. The complex and multifaceted nature of this disease still fuels controversies about its origin. In this perspective article, we argue that conflicting hypotheses can be…

Neurons and Cognition · Quantitative Biology 2022-06-22 Tristan Manfred Stöber , Danylo Batulin , Jochen Triesch , Rishikesh Narayanan , Peter Jedlicka

We study possible relations between the structure of the connectome, white matter connecting different regions of brain, and Alzheimer disease. Regression models in covariates including age, gender and disease status for the extent of white…

Methodology · Statistics 2021-04-22 Arkaprava Roy , Subhashis Ghosal , Jeffrey Prescott , Kingshuk Roy Choudhury

Epilepsy is one of the most common brain diseases that affect more than 1\% of the world's population. It is characterized by recurrent seizures, which come in different types and are treated differently. Electroencephalography (EEG) is…

Signal Processing · Electrical Eng. & Systems 2022-06-09 Hezam Albaqami , Ghulam Mubashar Hassan , Amitava Datta

In this paper, a genetic algorithm-based frequency-domain feature search (GAFDS) method is proposed for the electroencephalogram (EEG) analysis of epilepsy. In this method, frequency-domain features are first searched and then combined with…

Machine Learning · Computer Science 2017-01-24 Tingxi Wen , Zhongnan Zhang

Most brain disorders including Alzheimer's disease (AD) are related to alterations in the normal brain network organization and function. Exploring these network alterations using non-invasive and easy to use technique is a topic of great…

Neurons and Cognition · Quantitative Biology 2017-06-14 Aya Kabbara , Mahmoud Hassan , Mohamad Khalil , Wassim El Falou , Hassan Eid

Epilepsy affects more than 50 million people worldwide, making it one of the world's most prevalent neurological diseases. The main symptom of epilepsy is seizures, which occur abruptly and can cause serious injury or death. The ability to…

Signal Processing · Electrical Eng. & Systems 2024-02-06 Zakary Georgis-Yap , Milos R. Popovic , Shehroz S. Khan

Schizophrenia (SZ) is a brain disorder leading to detached mind's normally integrated processes. Hence, the exploration of the symptoms in relation to functional connectivity (FC) had great relevance in the field. FC can be investigated on…

Neurons and Cognition · Quantitative Biology 2026-04-08 Davide Coluzzi , Giuseppe Baselli

Medically uncontrolled epileptic seizures affect nearly 15 million people worldwide, resulting in enormous economic and psychological burdens. Treatment of medically refractory epilepsy is essential for patients to achieve remission,…

Quantitative Methods · Quantitative Biology 2025-12-25 Yaoyue Wang , Arian Ashourvan , Guilherme Ramos , Paul Bogdan , Emily Pereira

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

Epileptic seizures are one of the most well-known dysfunctions of the nervous system. During a seizure, a highly synchronized behavior of neural activity is observed that can cause symptoms ranging from mild sensual malfunctions to the…

Neurons and Cognition · Quantitative Biology 2011-08-01 Christian Kuehn , Christian Meisel

Absence epilepsy is believed to be associated with the abnormal interactions between the cerebral cortex and thalamus. Besides the direct coupling, anatomical evidence indicates that the cerebral cortex and thalamus also communicate…

Neurons and Cognition · Quantitative Biology 2015-06-18 Mingming Chen , Daqing Guo , Tiebin Wang , Wei Jing , Yang Xia , Peng Xu , Cheng Luo , Pedro A. Valdes-Sosa , Dezhong Yao

An Electroencephalogram (EEG) is a non-invasive exam that records the brain's electrical activity. This is used to help diagnose conditions such as different brain problems. EEG signals are taken for epilepsy detection, and with Discrete…

Machine Learning · Computer Science 2024-05-28 Rabel Guharoy , Nanda Dulal Jana , Suparna Biswas , Lalit Garg

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

Magnetic resonance imaging (MRI) is a crucial tool to identify brain abnormalities in a wide range of neurological disorders. In focal epilepsy MRI is used to identify structural cerebral abnormalities. For covert lesions, machine learning…

It is widely held that a substantial genetic component underlies Bipolar Disorder (BD) and other neuropsychiatric disease traits. Recent efforts have been aimed at understanding the genetic basis of disease susceptibility, with genome-wide…

Patients diagnosed with epilepsy experience cognitive dysfunction that may be due to a transient cognitive/memory impairment (TCI/TMI) caused by spontaneous epileptiform spikes. We asked in a cohort of 166 adult patients with medically…

Intracranial EEG (IEEG) is used for 2 main purposes, to determine: (1) if epileptic networks are amenable to focal treatment and (2) where to intervene. Currently these questions are answered qualitatively and sometimes differently across…

Over one third of the estimated 3 million people with epilepsy in the US are medication resistant. Responsive neurostimulation from chronically implanted electrodes provides a promising treatment option and alternative to resective surgery.…

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