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Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time

Clinical assessment of brain function relies heavily on indirect behavior-based tests. Unfortunately, behavior-based assessments are subjective and therefore susceptible to several confounding factors. Event-related brain potentials (ERPs), derived from electroencephalography (EEG), are often used t...

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Autores principales: Ghosh Hajra, Sujoy, Liu, Careesa C., Song, Xiaowei, Fickling, Shaun, Liu, Luke E., Pawlowski, Gabriela, Jorgensen, Janelle K., Smith, Aynsley M., Schnaider-Beeri, Michal, Van Den Broek, Rudi, Rizzotti, Rowena, Fisher, Kirk, D'Arcy, Ryan C. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867677/
https://www.ncbi.nlm.nih.gov/pubmed/27242415
http://dx.doi.org/10.3389/fnins.2016.00211
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author Ghosh Hajra, Sujoy
Liu, Careesa C.
Song, Xiaowei
Fickling, Shaun
Liu, Luke E.
Pawlowski, Gabriela
Jorgensen, Janelle K.
Smith, Aynsley M.
Schnaider-Beeri, Michal
Van Den Broek, Rudi
Rizzotti, Rowena
Fisher, Kirk
D'Arcy, Ryan C. N.
author_facet Ghosh Hajra, Sujoy
Liu, Careesa C.
Song, Xiaowei
Fickling, Shaun
Liu, Luke E.
Pawlowski, Gabriela
Jorgensen, Janelle K.
Smith, Aynsley M.
Schnaider-Beeri, Michal
Van Den Broek, Rudi
Rizzotti, Rowena
Fisher, Kirk
D'Arcy, Ryan C. N.
author_sort Ghosh Hajra, Sujoy
collection PubMed
description Clinical assessment of brain function relies heavily on indirect behavior-based tests. Unfortunately, behavior-based assessments are subjective and therefore susceptible to several confounding factors. Event-related brain potentials (ERPs), derived from electroencephalography (EEG), are often used to provide objective, physiological measures of brain function. Historically, ERPs have been characterized extensively within research settings, with limited but growing clinical applications. Over the past 20 years, we have developed clinical ERP applications for the evaluation of functional status following serious injury and/or disease. This work has identified an important gap: the need for a clinically accessible framework to evaluate ERP measures. Crucially, this enables baseline measures before brain dysfunction occurs, and might enable the routine collection of brain function metrics in the future much like blood pressure measures today. Here, we propose such a framework for extracting specific ERPs as potential “brain vital signs.” This framework enabled the translation/transformation of complex ERP data into accessible metrics of brain function for wider clinical utilization. To formalize the framework, three essential ERPs were selected as initial indicators: (1) the auditory N100 (Auditory sensation); (2) the auditory oddball P300 (Basic attention); and (3) the auditory speech processing N400 (Cognitive processing). First step validation was conducted on healthy younger and older adults (age range: 22–82 years). Results confirmed specific ERPs at the individual level (86.81–98.96%), verified predictable age-related differences (P300 latency delays in older adults, p < 0.05), and demonstrated successful linear transformation into the proposed brain vital sign (BVS) framework (basic attention latency sub-component of BVS framework reflects delays in older adults, p < 0.05). The findings represent an initial critical step in developing, extracting, and characterizing ERPs as vital signs, critical for subsequent evaluation of dysfunction in conditions like concussion and/or dementia.
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spelling pubmed-48676772016-05-30 Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time Ghosh Hajra, Sujoy Liu, Careesa C. Song, Xiaowei Fickling, Shaun Liu, Luke E. Pawlowski, Gabriela Jorgensen, Janelle K. Smith, Aynsley M. Schnaider-Beeri, Michal Van Den Broek, Rudi Rizzotti, Rowena Fisher, Kirk D'Arcy, Ryan C. N. Front Neurosci Neuroscience Clinical assessment of brain function relies heavily on indirect behavior-based tests. Unfortunately, behavior-based assessments are subjective and therefore susceptible to several confounding factors. Event-related brain potentials (ERPs), derived from electroencephalography (EEG), are often used to provide objective, physiological measures of brain function. Historically, ERPs have been characterized extensively within research settings, with limited but growing clinical applications. Over the past 20 years, we have developed clinical ERP applications for the evaluation of functional status following serious injury and/or disease. This work has identified an important gap: the need for a clinically accessible framework to evaluate ERP measures. Crucially, this enables baseline measures before brain dysfunction occurs, and might enable the routine collection of brain function metrics in the future much like blood pressure measures today. Here, we propose such a framework for extracting specific ERPs as potential “brain vital signs.” This framework enabled the translation/transformation of complex ERP data into accessible metrics of brain function for wider clinical utilization. To formalize the framework, three essential ERPs were selected as initial indicators: (1) the auditory N100 (Auditory sensation); (2) the auditory oddball P300 (Basic attention); and (3) the auditory speech processing N400 (Cognitive processing). First step validation was conducted on healthy younger and older adults (age range: 22–82 years). Results confirmed specific ERPs at the individual level (86.81–98.96%), verified predictable age-related differences (P300 latency delays in older adults, p < 0.05), and demonstrated successful linear transformation into the proposed brain vital sign (BVS) framework (basic attention latency sub-component of BVS framework reflects delays in older adults, p < 0.05). The findings represent an initial critical step in developing, extracting, and characterizing ERPs as vital signs, critical for subsequent evaluation of dysfunction in conditions like concussion and/or dementia. Frontiers Media S.A. 2016-05-12 /pmc/articles/PMC4867677/ /pubmed/27242415 http://dx.doi.org/10.3389/fnins.2016.00211 Text en Copyright © 2016 Ghosh Hajra, Liu, Song, Fickling, Liu, Pawlowski, Jorgensen, Smith, Schnaider-Beeri, Van Den Broek, Rizzotti, Fisher and D'Arcy. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Ghosh Hajra, Sujoy
Liu, Careesa C.
Song, Xiaowei
Fickling, Shaun
Liu, Luke E.
Pawlowski, Gabriela
Jorgensen, Janelle K.
Smith, Aynsley M.
Schnaider-Beeri, Michal
Van Den Broek, Rudi
Rizzotti, Rowena
Fisher, Kirk
D'Arcy, Ryan C. N.
Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time
title Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time
title_full Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time
title_fullStr Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time
title_full_unstemmed Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time
title_short Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time
title_sort developing brain vital signs: initial framework for monitoring brain function changes over time
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867677/
https://www.ncbi.nlm.nih.gov/pubmed/27242415
http://dx.doi.org/10.3389/fnins.2016.00211
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