Literature DB >> 20863589

EPILEPSIAE - a European epilepsy database.

Matthias Ihle1, Hinnerk Feldwisch-Drentrup, César A Teixeira, Adrien Witon, Björn Schelter, Jens Timmer, Andreas Schulze-Bonhage.   

Abstract

With a worldwide prevalence of about 1%, epilepsy is one of the most common serious brain diseases with profound physical, psychological and, social consequences. Characteristic symptoms are seizures caused by abnormally synchronized neuronal activity that can lead to temporary impairments of motor functions, perception, speech, memory or, consciousness. The possibility to predict the occurrence of epileptic seizures by monitoring the electroencephalographic activity (EEG) is considered one of the most promising options to establish new therapeutic strategies for the considerable fraction of patients with currently insufficiently controlled seizures. Here, a database is presented which is part of an EU-funded project "EPILEPSIAE" aiming at the development of seizure prediction algorithms which can monitor the EEG for seizure precursors. High-quality, long-term continuous EEG data, enriched with clinical metadata, which so far have not been available, are managed in this database as a joint effort of epilepsy centers in Portugal (Coimbra), France (Paris) and Germany (Freiburg). The architecture and the underlying schema are here reported for this database. It was designed for an efficient organization, access and search of the data of 300 epilepsy patients, including high quality long-term EEG recordings, obtained with scalp and intracranial electrodes, as well as derived features and supplementary clinical and imaging data. The organization of this European database will allow for accessibility by a wide spectrum of research groups and may serve as a model for similar databases planned for the future.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20863589     DOI: 10.1016/j.cmpb.2010.08.011

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  21 in total

1.  Antiepileptic drugs induce subcritical dynamics in human cortical networks.

Authors:  Christian Meisel
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-01       Impact factor: 11.205

2.  Data integration: Combined imaging and electrophysiology data in the cloud.

Authors:  Lohith G Kini; Kathryn A Davis; Joost B Wagenaar
Journal:  Neuroimage       Date:  2015-06-02       Impact factor: 6.556

Review 3.  Collaborating and sharing data in epilepsy research.

Authors:  Joost B Wagenaar; Gregory A Worrell; Zachary Ives; Matthias Dümpelmann; Dümpelmann Matthias; Brian Litt; Andreas Schulze-Bonhage
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

4.  Measures of entropy and complexity in altered states of consciousness.

Authors:  D M Mateos; R Guevara Erra; R Wennberg; J L Perez Velazquez
Journal:  Cogn Neurodyn       Date:  2017-10-20       Impact factor: 5.082

Review 5.  EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review.

Authors:  Ijaz Ahmad; Xin Wang; Mingxing Zhu; Cheng Wang; Yao Pi; Javed Ali Khan; Siyab Khan; Oluwarotimi Williams Samuel; Shixiong Chen; Guanglin Li
Journal:  Comput Intell Neurosci       Date:  2022-06-17

6.  A Framework for Content-based Retrieval of EEG with Applications to Neuroscience and Beyond.

Authors:  Kyungmin Su; Kay A Robbins
Journal:  Proc Int Jt Conf Neural Netw       Date:  2013

7.  A taxonomy of seizure dynamotypes.

Authors:  Maria Luisa Saggio; Dakota Crisp; Jared M Scott; Philippa Karoly; Levin Kuhlmann; Mitsuyoshi Nakatani; Tomohiko Murai; Matthias Dümpelmann; Andreas Schulze-Bonhage; Akio Ikeda; Mark Cook; Stephen V Gliske; Jack Lin; Christophe Bernard; Viktor Jirsa; William C Stacey
Journal:  Elife       Date:  2020-07-21       Impact factor: 8.140

Review 8.  Big data sharing and analysis to advance research in post-traumatic epilepsy.

Authors:  Dominique Duncan; Paul Vespa; Asla Pitkänen; Adebayo Braimah; Niina Lapinlampi; Arthur W Toga
Journal:  Neurobiol Dis       Date:  2018-06-01       Impact factor: 5.996

9.  Intrinsic excitability measures track antiepileptic drug action and uncover increasing/decreasing excitability over the wake/sleep cycle.

Authors:  Christian Meisel; Andreas Schulze-Bonhage; Dean Freestone; Mark James Cook; Peter Achermann; Dietmar Plenz
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

Review 10.  Epileptic Seizures Detection Using Deep Learning Techniques: A Review.

Authors:  Afshin Shoeibi; Marjane Khodatars; Navid Ghassemi; Mahboobeh Jafari; Parisa Moridian; Roohallah Alizadehsani; Maryam Panahiazar; Fahime Khozeimeh; Assef Zare; Hossein Hosseini-Nejad; Abbas Khosravi; Amir F Atiya; Diba Aminshahidi; Sadiq Hussain; Modjtaba Rouhani; Saeid Nahavandi; Udyavara Rajendra Acharya
Journal:  Int J Environ Res Public Health       Date:  2021-05-27       Impact factor: 3.390

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