Data analysis protocol for early autonomic dysfunction characterization after severe traumatic brain injury
This study will provide a detailed characterization of acute changes in ANS function after sTBI through quantified indices from cardiac waveform data, thereby enhancing our understanding of the development and course of eAD post-sTBI.
Authors
- Frederick K. Korley (ORCID: https://orcid.org/0000-0003-4920-8278)
- Vijay Krishnamoorthy (ORCID: https://orcid.org/0000-0003-4153-2348)
- Željka Minić (ORCID: https://orcid.org/0000-0002-8427-9605)
- William J. Meurer (ORCID: https://orcid.org/0000-0002-1158-5302)
- Joseph Miller
- Luis Ulloa (ORCID: https://orcid.org/0000-0002-7702-7549)
- Benjamin Alan Goldstein (ORCID: https://orcid.org/0000-0001-5261-3632)
- Daniel T. Laskowitz (ORCID: https://orcid.org/0000-0003-3430-8815)
- Monica S. Vavilala (ORCID: https://orcid.org/0000-0002-2354-5279)
- Huaxin Sheng (ORCID: https://orcid.org/0000-0002-4325-2940)
- Xiao Hu (ORCID: https://orcid.org/0000-0001-9478-5571)
- Kejun Dong (ORCID: https://orcid.org/0000-0001-6407-4330)
- Tetsu Ohnuma
Institutions
- Emory University (US)
- University of Rijeka (HR)
- Duke University (US)
- Wayne State University (US)
- University of Washington (US)
- University of Michigan (US)
- Henry Ford Hospital (US)
- Duke Medical Center (US)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-12-24
- DOI
- https://doi.org/10.3389/fneur.2024.1484986
- Citations
- 2
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- National Institutes of Health