Predicting posttraumatic epilepsy using admission electroencephalography after severe traumatic brain injury.
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| Title: | Predicting posttraumatic epilepsy using admission electroencephalography after severe traumatic brain injury. |
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| Authors: | Pease M; Department of Neurological Surgery, University of Pittsburgh Medical Center Healthcare System, Pittsburgh, Pennsylvania, USA., Elmer J; Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.; Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA., Shahabadi AZ; Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA., Mallela AN; Department of Neurological Surgery, University of Pittsburgh Medical Center Healthcare System, Pittsburgh, Pennsylvania, USA., Ruiz-Rodriguez JF; Department of Neurological Surgery, University of Washington, Seattle, Washington, USA., Sexton D; Department of Neurosurgery, Duke University, Durham, North Carolina, USA., Barot N; Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA., Gonzalez-Martinez JA; Department of Neurological Surgery, University of Pittsburgh Medical Center Healthcare System, Pittsburgh, Pennsylvania, USA., Shutter L; Department of Neurological Surgery, University of Pittsburgh Medical Center Healthcare System, Pittsburgh, Pennsylvania, USA.; Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.; Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA., Okonkwo DO; Department of Neurological Surgery, University of Pittsburgh Medical Center Healthcare System, Pittsburgh, Pennsylvania, USA., Castellano JF; Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA. |
| Source: | Epilepsia [Epilepsia] 2023 Jul; Vol. 64 (7), pp. 1842-1852. Date of Electronic Publication: 2023 May 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1528-1167 |
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| DOI: | 10.1111/epi.17622 |
