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

Dominique Duncan; Paul Vespa; Asla Pitkänen; Adebayo Braimah; Niina Lapinlampi; Arthur W. Toga

Neurobiology of Disease (Mar 2019)

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

Dominique Duncan,
Paul Vespa,
Asla Pitkänen,
Adebayo Braimah,
Niina Lapinlampi,
Arthur W. Toga

Affiliations

Dominique Duncan: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA; Corresponding author at: 2025 Zonal Ave. 208B, Los Angeles, CA 90033, USA.
Paul Vespa: Division of Neurosurgery and Department of Neurology, University of California at Los Angeles School of Medicine, Los Angeles, CA, USA
Asla Pitkänen: A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
Adebayo Braimah: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
Niina Lapinlampi: A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
Arthur W. Toga: Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA

Journal volume & issue: Vol. 123
pp. 127 – 136

Abstract

Read online

We describe the infrastructure and functionality for a centralized preclinical and clinical data repository and analytic platform to support importing heterogeneous multi-modal data, automatically and manually linking data across modalities and sites, and searching content. We have developed and applied innovative image and electrophysiology processing methods to identify candidate biomarkers from MRI, EEG, and multi-modal data. Based on heterogeneous biomarkers, we present novel analytic tools designed to study epileptogenesis in animal model and human with the goal of tracking the probability of developing epilepsy over time.

Published in Neurobiology of Disease

ISSN: 0969-9961 (Print); 1095-953X (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: https://www.journals.elsevier.com/neurobiology-of-disease

About the journal

Abstract

Keywords