Predictive Value of Early Quantitative EEG Features in Critically Ill Moderate-severe Traumatic Brain Injury (TBI) Patient Prognostication (P12-7.008)
To evaluate predictive performance of quantitative electroencephalogram (qEEG) features in predicting outcomes among moderate-severe traumatic brain injury (msTBI) patients.
Authors
- Sonja Darwish
- Boris Jung (ORCID: https://orcid.org/0000-0003-2522-1531)
- Walter Valesky (ORCID: https://orcid.org/0000-0002-5213-8277)
- Michael Lekawa
- Michelle Goodwin
- Cyrus Dastur
- S. Tong
- Kotaro Tsutsumi (ORCID: https://orcid.org/0000-0002-6576-0970)
- Areg Grigorian (ORCID: https://orcid.org/0000-0002-0998-796X)
- Kurt Y. Qing (ORCID: https://orcid.org/0000-0003-1283-2931)
- Wengui Yu (ORCID: https://orcid.org/0000-0003-1664-3580)
- Sara Stern‐Nezer (ORCID: https://orcid.org/0000-0001-9765-0971)
- Jefferson W. Chen (ORCID: https://orcid.org/0000-0003-0624-6864)
- Patrick M. Chen (ORCID: https://orcid.org/0000-0003-4505-964X)
- Yama Akbari (ORCID: https://orcid.org/0000-0003-0729-5617)
- Jeffry T. Nahmias (ORCID: https://orcid.org/0000-0003-0094-571X)
Institutions
- University of California, Irvine (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000212375
- Primary Topic
- Traumatic Brain Injury and Neurovascular Disturbances
- Type
- article
- Field-Weighted Citation Impact
- 0.00