Epilepsy

Epilepsy-on-a-chip System for Antiepileptic Drug Discovery

Epilepsy-on-a-chip System for Antiepileptic Drug Discovery

Author(s): Jing Liu, Anna R. Sternberg, Shabnam Ghiasvand, Yevgeny Berdichevsky
Epilepsy-on-a-chip System for Antiepileptic Drug Discovery 170 177 IEEE Transactions on Biomedical Engineering (TBME)

    Development of antiepileptic drugs is currently complicated by the long time course of epileptogenesis. This process occurs on a time scale of weeks to months in animal models, and…

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Estimating Brain Connectivity with Varying-Length Time Lags Using a Recurrent Neural Network

Estimating Brain Connectivity with Varying-Length Time Lags Using a Recurrent Neural Network

Author(s): Yueming Wang, Kang Lin, Yu Qi, Qi Lian, Shaozhe Feng, Gang Pan, Zhaohui Wu
Estimating Brain Connectivity with Varying-Length Time Lags Using a Recurrent Neural Network 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Computer-aided estimation of brain connectivity aims to reveal information propagation in brain automatically, which has great potential in clinical applications, e.g. epilepsy foci diagnosis. Granger causality is an effective tool…

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A Functional-genetic Scheme for Seizure Forecasting in Canine Epilepsy

A Functional-genetic Scheme for Seizure Forecasting in Canine Epilepsy

Author(s): Elie Bou Assi, Dang K. Nguyen, Sandy Rihana, Mohamad Sawan
A Functional-genetic Scheme for Seizure Forecasting in Canine Epilepsy 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Epilepsy is a chronic condition characterized by recurrent, spontaneous, and unpredictable seizures resulting from the abnormal and excessive synchronization of groups of neurons. While first line of treatment consists of…

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SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal

SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal

Author(s): Han-Tai Shiao, Vladimir Cherkassky, Jieun Lee, Brandon Veber, Edward E. Patterson, Benjamin H. Brinkmann, Gregory A. Worrell
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal 170 177 IEEE Transactions on Biomedical Engineering (TBME)

This paper describes a data-analytic modeling approach for the prediction of epileptic seizures from intracranial electroencephalogram (iEEG) recording of brain activity. Even though it is widely accepted that statistical characteristics…

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Epileptogenic Source Imaging Using Cross Frequency Coupled Signals from Scalp EEG

Epileptogenic Source Imaging Using Cross Frequency Coupled Signals from Scalp EEG

Author(s): Chunsheng Li, Daniel Jacobs, Trevor Hilton, Martin del Campo, Yotin Chinvarun, Peter L. Carlen, Berj L. Bardakjian
Epileptogenic Source Imaging Using Cross Frequency Coupled Signals from Scalp EEG 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Chunsheng Li, Daniel Jacobs, Trevor Hilton, Martin del Campo, Yotin Chinvarun, Peter L Carlen, and Berj L Bardakjian, University of Toronto, Canada. The epileptogenic zone (EZ) is a brain region…

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Time-Frequency Strategies for Increasing High-Frequency Oscillation Detectability in Intracerebral EEG

Author(s): Nicolas Roehri, Jean-Marc Lina, John C. Mosher, Fabrice Bartolomei, Christian-George Bénar
Time-Frequency Strategies for Increasing High-Frequency Oscillation Detectability in Intracerebral EEG 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Nicolas Roehri, Jean-Marc Lina, John C. Mosher, Fabrice Bartolomei, and Christian-George Bénar, Institut de Neurosciences des Systèmes & Clinical Neurophysiology, Marseille, France, École de technologie supérieure, Canada, Cleveland Clinic Neurological Institute, USA High-frequency oscillations…

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Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features

Author(s): Koichi Fujiwara, Miho Miyajima, Toshitaka Yamakawa, Erika Abe, Yoko Suzuki, Yuriko Sawada, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Taeko Sasai-Sakuma, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Epilepsy is a common neurological disorder that causes seizures with various symptoms such as convulsion and loss of consciousness. Approximately 30% of epileptic patients do not achieve seizure control even…

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Spatial Coherence Profiles of Ictal High Frequency Oscillations Correspond to those of Interictal Low Frequency Oscillations in the ECoG of Epileptic Patients

Author(s): Marija Cotic, Yotin Chinvarun, Martin del Campo, Peter L. Carlen, Berj L. Bardakjian
Spatial Coherence Profiles of Ictal High Frequency Oscillations Correspond to those of Interictal Low Frequency Oscillations in the ECoG of Epileptic Patients 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Marija Cotic,Yotin Chinvarun, Martin del Campo,Peter L. Carlen,and Berj L. Bardakjian, University of Toronto, Canada; Hospital, Bangkok, Thailand; Toronto Western Hospital, Toronto, Canada With the advent of new recording techniques, fast…

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Dysfunction of Neurovascular/Metabolic Coupling in Chronic Focal Epilepsy

Author(s): Yinchen Song, Rafael A. Torres, Sarahy Garcia, Yisel Frometa, Jihye Bae, Abhay Deshmukh, Wei-Chiang Lin, Ying Zheng, Jorge J. Riera
Dysfunction of Neurovascular/Metabolic Coupling in Chronic Focal Epilepsy 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Yinchen Song, Rafael A. Torres, Sarahy Garcia, Yisel Frometa, Jihye Bae, Abhay Deshmukh Wei-Chiang Lin, Ying Zheng, and Jorge J. Riera, Florida International University, USA & University of Reading, UK…

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Matching Pursuit Based Time-Variant Bispectral Analysis and its Application to Biomedical Signals

Author(s): Karin Schiecke, Matthias Wacker, Franz Benninger, Martha Feucht, Lutz Leistritz, Herbert Witte
Matching Pursuit Based Time-Variant Bispectral Analysis and its Application to Biomedical Signals 260 216 IEEE Transactions on Biomedical Engineering (TBME)

Advanced time-variant and non-linear approaches can be beneficially used for analysis of biomedical signals and are able to gain new insights into specific signal characteristics like short term patterns in…

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