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Epilepsy is a neurological disorder with recurrent seizures of complexity and randomness. Until now, the mechanism of epileptic randomness has not been fully elucidated. Inspired by the recent finding that astrocyte GTPase-activating…

Neurons and Cognition · Quantitative Biology 2024-06-19 JiaJia Li , Peihua Feng , Liang Zhao , Junying Chen , Mengmeng Du , Yangyang Yu , Jian Song , Ying Wu

A seizure's electrographic dynamics are characterised by its spatiotemporal evolution, also termed dynamical "pathway" and the time it takes to complete that pathway, which results in the seizure's duration. Both seizure pathways and…

Diagnosing epilepsy requires accurate seizure detection and classification, but traditional manual EEG signal analysis is resource-intensive. Meanwhile, automated algorithms often overlook EEG's geometric and semantic properties critical…

Signal Processing · Electrical Eng. & Systems 2024-05-17 Arash Hajisafi , Haowen Lin , Yao-Yi Chiang , Cyrus Shahabi

Cognition is supported by neurophysiological processes that occur both in local anatomical neighborhoods and in distributed large-scale circuits. Recent evidence from network control theory suggests that white matter pathways linking…

Neurons and Cognition · Quantitative Biology 2016-06-30 John D. Medaglia , Shi Gu , Fabio Pasqualetti , Rebecca L. Ashare , Caryn Lerman , Joseph Kable , Danielle S. Bassett

This paper introduces an innovative framework designed for progressive (granular in time to onset) prediction of seizures through the utilization of a Deep Learning (DL) methodology based on non-invasive multi-modal sensor networks.…

Signal Processing · Electrical Eng. & Systems 2024-11-05 Ali Saeizadeh , Douglas Schonholtz , Joseph S. Neimat , Pedram Johari , Tommaso Melodia

Detecting seizure using brain neuroactivations recorded by intracranial electroencephalogram (iEEG) has been widely used for monitoring, diagnosing, and closed-loop therapy of epileptic patients, however, computational efficiency gains are…

Computer Vision and Pattern Recognition · Computer Science 2017-02-01 Nhan Truong , Levin Kuhlmann , Mohammad Reza Bonyadi , Jiawei Yang , Andrew Faulks , Omid Kavehei

Automated epileptic seizure detection from electroencephalogram (EEG) remains challenging due to significant individual differences in EEG patterns across patients. While existing studies achieve high accuracy with patient-specific…

Signal Processing · Electrical Eng. & Systems 2025-05-22 Rina Tazaki , Tomoyuki Akiyama , Akira Furui

Focal cortical dysplasia (FCD) is a leading cause of drug-resistant focal epilepsy, which can be cured by surgery. These lesions are extremely subtle and often missed even by expert neuroradiologists. "Ground truth" manual lesion masks are…

Image and Video Processing · Electrical Eng. & Systems 2023-06-06 Hannah Spitzer , Mathilde Ripart , Abdulah Fawaz , Logan Z. J. Williams , MELD project , Emma Robinson , Juan Eugenio Iglesias , Sophie Adler , Konrad Wagstyl

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

This review provides a dynamical systems perspective on psychiatric symptoms and disease, and discusses its potential implications for diagnosis, prognosis, and treatment. After a brief introduction into the theory of dynamical systems, we…

Neurons and Cognition · Quantitative Biology 2018-09-18 Daniel Durstewitz , Quentin J. M. Huys , Georgia Koppe

In clinical neuroscience, epileptic seizures have been associated with the sudden emergence of coupled activity across the brain. The resulting functional networks - in which edges indicate strong enough coupling between brain regions - are…

Applications · Statistics 2021-02-25 Xiaojing Zhu , Heather Shappell , Mark A. Kramer , Catherine J. Chu , Eric D. Kolaczyk

When the human brain manifests the birth of organised communication among local and large-scale neuronal populations activity remains undescribed. We report, in resting-state EEG source-estimates of 100 infants at term age, the existence of…

Neurons and Cognition · Quantitative Biology 2020-09-08 Steve Mehrkanoon

Network theory provides novel concepts that promise an improved characterization of interacting dynamical systems. Within this framework, evolving networks can be considered as being composed of nodes, representing systems, and of…

Neurons and Cognition · Quantitative Biology 2014-08-26 Klaus Lehnertz , Gerrit Ansmann , Stephan Bialonski , Henning Dickten , Christian Geier , Stephan Porz

Epileptic seizures detection and forecasting is nowadays widely recognized as a problem of great significance and social resonance, and still remains an open, grand challenge. Furthermore, the development of mobile warning systems and…

Quantitative Methods · Quantitative Biology 2018-12-10 Roberto Zingone , Chiara Mocenni , Dario Madeo

At the macroscale, the brain operates as a network of interconnected neuronal populations, which display rhythmic dynamics that support interareal communication. Understanding how stimulation of a particular brain area impacts such…

Neurons and Cognition · Quantitative Biology 2020-11-12 Lia Papadopoulos , Christopher W. Lynn , Demian Battaglia , Danielle S. Bassett

Patients with epilepsy can manifest short, sub-clinical epileptic "bursts" in addition to full-blown clinical seizures. We believe the relationship between these two classes of events---something not previously studied…

Machine Learning · Statistics 2014-07-29 Drausin F. Wulsin , Emily B. Fox , Brian Litt

Timely diagnosis is important for saving the life of epileptic patients. In past few years, a lot of treatments are available for epilepsy. These treatments require use of anti-seizure drugs but are not effective in controlling frequency of…

Machine Learning · Computer Science 2021-11-08 Shivam Gupta , Jyoti Meena , O. P Gupta

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.…

Epilepsy is one of the common neurological disorders characterized by recurrent and uncontrollable seizures, which seriously affect the life of patients. In many cases, electroencephalograms signal can provide important physiological…

Neurons and Cognition · Quantitative Biology 2023-08-15 Mohammad Reza Yousefi , Saina Golnejad , Melika Mohammad Hosseini , Amin Dehghani

Therapeutic intervention in neurological disorders still relies heavily on pharmacological solutions, while the treatment of patients with drug resistance remains an open challenge. This is particularly true for patients with epilepsy, 30%…

Human-Computer Interaction · Computer Science 2022-10-20 Margherita Ronchini , Yasser Rezaeiyan , Milad Zamani , Gabriella Panuccio , Farshad Moradi
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