PMID- 36434488
OWN - NLM
STAT- MEDLINE
DCOM- 20221216
LR  - 20230126
IS  - 1534-6293 (Electronic)
IS  - 1528-4042 (Print)
IS  - 1528-4042 (Linking)
VI  - 22
IP  - 12
DP  - 2022 Dec
TI  - Rapid Response EEG: Current State and Future Directions.
PG  - 839-846
LID - 10.1007/s11910-022-01243-1 [doi]
AB  - PURPOSE OF REVIEW: To critically appraise the literature on the application, 
      methods, and advances in emergency electroencephalography (EEG). RECENT FINDINGS: 
      The development of rapid EEG (rEEG) technologies and other reduced montage 
      approaches, along with advances in machine learning over the past decade, has 
      increased the rate and access to EEG acquisition. These achievements have made 
      EEG in the emergency setting a practical diagnostic technique for detecting 
      seizures, suspected nonconvulsive status epilepticus (NCSE), altered mental 
      status, stroke, and in the setting of sedation. Growing evidence supports using 
      EEG to expedite medical decision-making in the setting of suspected acute 
      neurological injury. This review covers approaches to acquiring EEG in the 
      emergency setting in the adult and pediatric populations. We also cover the 
      clinical impact of this data, the time associated with emergency EEG, and the 
      costs of acquiring EEG in these settings. Finally, we discuss the advances in 
      artificial intelligence for rapid electrophysiological interpretation.
CI  - (c) 2022. The Author(s), under exclusive licence to Springer Science+Business 
      Media, LLC, part of Springer Nature.
FAU - Davey, Zachary
AU  - Davey Z
AUID- ORCID: 0000-0003-3673-8587
AD  - Department of Neurology, Walter Reed National Military Medical Center, Bethesda, 
      MD, USA.
FAU - Gupta, Pranjal Bodh
AU  - Gupta PB
AUID- ORCID: 0000-0003-3315-7971
AD  - Department of Emergency Medicine, Stanford Medicine, Palo Alto, CA, USA.
FAU - Li, David R
AU  - Li DR
AUID- ORCID: 0000-0001-5221-1334
AD  - Department of Emergency Medicine, Stanford Medicine, Palo Alto, CA, USA.
FAU - Nayak, Rahul Uday
AU  - Nayak RU
AUID- ORCID: 0000-0003-4114-8565
AD  - Department of Emergency Medicine, Stanford Medicine, Palo Alto, CA, USA.
FAU - Govindarajan, Prasanthi
AU  - Govindarajan P
AUID- ORCID: 0000-0002-6946-8360
AD  - Department of Emergency Medicine, Stanford Medicine, Palo Alto, CA, USA. 
      prashagovindarajan@stanford.edu.
LA  - eng
GR  - R01 HS026207/HS/AHRQ HHS/United States
PT  - Journal Article
PT  - Research Support, U.S. Gov't, P.H.S.
PT  - Review
DEP - 20221125
PL  - United States
TA  - Curr Neurol Neurosci Rep
JT  - Current neurology and neuroscience reports
JID - 100931790
SB  - IM
MH  - Adult
MH  - Child
MH  - Humans
MH  - Artificial Intelligence
MH  - Electroencephalography/methods
MH  - *Status Epilepticus/diagnosis
MH  - Seizures
MH  - *Mental Disorders
PMC - PMC9702853
OTO - NOTNLM
OT  - Altered mental status
OT  - Emergency electroencephalography
OT  - Nonconvulsive status epilepticus (NCSE)
OT  - Rapid response EEG
OT  - Seizure
OT  - Stroke
COIS- Zachary Davey: none. Pranjal Bodh Gupta: none. David R. Li: none. Rahul Nayak: 
      none. Prasanthi Govindarajan: 7/2019-6/2024, Funder: Agency for Healthcare 
      Research and Quality (R01HS026207-04), Title: Effect of Bypass Policies on Stroke 
      Treatment in a National Sample of Medicare Beneficiaries, Role: PI, 
      7/2022-6/2023, Funder: Centers for Disease Control and Prevention, Title: 
      Respiratory Virus Transmission Network, Role: Co-Investigator.
EDAT- 2022/11/27 06:00
MHDA- 2022/12/17 06:00
PMCR- 2022/11/28
CRDT- 2022/11/26 11:40
PHST- 2022/10/10 00:00 [accepted]
PHST- 2022/11/27 06:00 [pubmed]
PHST- 2022/12/17 06:00 [medline]
PHST- 2022/11/26 11:40 [entrez]
PHST- 2022/11/28 00:00 [pmc-release]
AID - 10.1007/s11910-022-01243-1 [pii]
AID - 1243 [pii]
AID - 10.1007/s11910-022-01243-1 [doi]
PST - ppublish
SO  - Curr Neurol Neurosci Rep. 2022 Dec;22(12):839-846. doi: 
      10.1007/s11910-022-01243-1. Epub 2022 Nov 25.