| Title |
The epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker: Study design and protocol
|
|---|---|
| Published in |
Neurobiology of Disease, July 2018
|
| DOI | 10.1016/j.nbd.2018.07.025 |
| Pubmed ID | |
| Authors |
Paul M. Vespa, Vikesh Shrestha, Nicholas Abend, Denes Agoston, Alicia Au, Michael J. Bell, Thomas P. Bleck, Manuel Buitrago Blanco, Jan Claassen, Ramon Diaz-Arrastia, Dominique Duncan, Ben Ellingson, Brandon Foreman, Emily J. Gilmore, Lawrence Hirsch, Martin Hunn, Alaa Kamnaksh, David McArthur, Andrew Morokoff, Terrence O’Brien, Kristine O’Phelan, Courtney L. Robertson, Eric Rosenthal, Richard Staba, Arthur Toga, Frederick A. Willyerd, Lara Zimmermann, Elisa Yam, Susana Martinez, Courtney Real, Jerome Engel, For the EpiBioS4Rx Study Group |
| Abstract |
The Epilepsy Bioinformatics Study for Anti-epileptogenic Therapy (EpiBioS4Rx) is a longitudinal prospective observational study funded by the National Institute of Health (NIH) to discover and validate observational biomarkers of epileptogenesis after traumatic brain injury (TBI). A multidisciplinary approach has been incorporated to investigate acute electrical, neuroanatomical, and blood biomarkers after TBI that may predict the development of post-traumatic epilepsy (PTE). We plan to enroll 300 moderate-severe TBI patients with a frontal and/or temporal lobe hemorrhagic contusion. Acute evaluation with blood, imaging and electroencephalographic monitoring will be performed and then patients will be tracked for 2 years to determine the incidence of PTE. Validation of selected biomarkers that are discovered in planned animal models will be a principal feature of this work. Specific hypotheses regarding the discovery of biomarkers have been set forth in this study. An international cohort of 13 centers spanning 2 continents will be developed to facilitate this study, and for future interventional studies. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 8 | 9% |
| Other | 7 | 8% |
| Student > Master | 7 | 8% |
| Researcher | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Other | 15 | 17% |
| Unknown | 36 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 15% |
| Neuroscience | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Psychology | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 11 | 13% |
| Unknown | 39 | 45% |