EEG Infrastructure Within the Veterans Administration: A Survey

There is large variability in EEG infrastructure across the VA. Tele-EEG has the potential to maintain continuity of operations through challenges affecting staffing and to improve EEG service access, especially in resource-limited settings. Expanding access to quantitative, rapid, and tele-EEG services may enhance patient management and may be a potential avenue to explore as the VA continues to invest in and grow its capacity for treating neurologic conditions.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Neurophysiology
Published
2024-11-12
DOI
https://doi.org/10.1097/wnp.0000000000001132
Citations
2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EEG Infrastructure Within the Veterans Administration: A Survey

Kiranmayi Konda Lakshmi Chandra, David C. McCarthy, Kamakshi Patel, Zulfi Haneef et al.
2 citations
Journal of Clinical Neurophysiology
EEG and Brain-Computer Interfaces
0.69
article

EEG Infrastructure Within the Veterans Administration: A Survey

Kiranmayi Konda Lakshmi Chandra, David C. McCarthy, Kamakshi Patel, Zulfi Haneef, A. Lu, Stephan J. Eisenschenk, Dmitri Kovalev, Edward N. Savarese
article en
2 citations

Abstract

There is large variability in EEG infrastructure across the VA. Tele-EEG has the potential to maintain continuity of operations through challenges affecting staffing and to improve EEG service access, especially in resource-limited settings. Expanding access to quantitative, rapid, and tele-EEG services may enhance patient management and may be a potential avenue to explore as the VA continues to invest in and grow its capacity for treating neurologic conditions.

Journal of Clinical NeurophysiologyVol. 42(5)
Michael E. DeBakey VA Medical Center (US), Baylor College of Medicine (US), University of Florida Health (US), VA Boston Healthcare System (US), Malcom Randall VA Medical Center (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 30%
EEG and Brain-Computer Interfaces
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EEG Infrastructure Within the Veterans Administration: A Survey — Kiranmayi Konda Lakshmi Chandra, David C. McCarthy, et al. · Journal of Clinical Neurophysiology (2024) | TGRS Research Map | TGRS