Epilepsyecosystem.org: Crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

L Kuhlmann; P Karoly; DR Freestone; BH Brinkmann; A Temko; A Barachant; F Li; G Titericz; BW Lang; D Lavery; K Roman; D Broadhead; S Dobson; G Jones; Q Tang; I Ivanenko; O Panichev; T Proix; M Náhlík; DB Grunberg; C Reuben; G Worrell; B Litt; DTJ Liley; DB Grayden; MJ Cook

Journal article

Epilepsyecosystem.org: Crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

L Kuhlmann, P Karoly, DR Freestone, BH Brinkmann, A Temko, A Barachant, F Li, G Titericz, BW Lang, D Lavery, K Roman, D Broadhead, S Dobson, G Jones, Q Tang, I Ivanenko, O Panichev, T Proix, M Náhlík, DB Grunberg Show all

Brain | OXFORD UNIV PRESS | Published : 2018

DOI: 10.1093/brain/awy210

Abstract

Accurate seizure prediction will transform epilepsy management by offering warnings to patients or triggering interventions. However, state-of-the-art algorithm design relies on accessing adequate long-term data. Crowd-sourcing ecosystems leverage quality data to enable cost-effective, rapid development of predictive algorithms. A crowd-sourcing ecosystem for seizure prediction is presented involving an international competition, a follow-up held-out data evaluation, and an online platform, Epilepsyecosystem.org, for yielding further improvements in prediction performance. Crowd-sourced algorithms were obtained via the 'Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge' con..

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University of Melbourne Researchers

Levin Kuhlmann Author

Pip Karoly Author

Dean Freestone Author Medicine - St Vincent's Hospital

David Liley Author

Related Projects (1)

CRITICAL SLOWING IN EPILEPSY

Seizures appear unpredictable and greatly affect the quality of all aspects of life for patients with epilepsy and their carers. New advance..

Grants

Awarded by University of Melbourne

Funding Acknowledgements

This work was supported by American Epilepsy Society, The Math Works Corporation, National Institute of Neurological Disorders and Stroke (NIH 1 U24 NS063930-01), The University of Melbourne, and National Health and Medical Research Council (APP1130468). A.T. received support from Science Foundation Ireland Research Centre Award (12/RC/2272). T.P. was supported by the National Institute of Neurological Disorders and Stroke (NINDS) (R01NS079533 - Truccolo Lab) and U.S. Department of Veterans Affairs, Merit Review Award (I01RX000668 - Truccolo Lab). G.W. and B.B. received support from National Institutes of Health (NIH) (R01-NS92882 and UH2NS095495). B.L. received support from NIH (UH2-NS095495-01, R01NS092882, 1K01ES025436-01, 5-U24-NS-063930-05, R01NS099348), Mirowski Foundation and Neil and Barbara Smit. L.K. and D.T.J.L. were supported by James S McDonnell Foundation (220020419).