Evidence map›Paper›PMID 27242415›Full record

ArticleFrontiers in neuroscience2016

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

Sujoy Ghosh Hajra, Careesa C Liu, Xiaowei Song, Shaun Fickling, Luke E Liu, Gabriela Pawlowski, Janelle K Jorgensen, Aynsley M Smith, Michal Schnaider-Beeri, Rudi Van Den Broek and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 57 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 3 countries.

Sujoy Ghosh HajraFaculty of Applied Science, School of Engineering Science, Simon Fraser UniversityBurnaby, BC, Canada; NeuroTech Lab, Simon Fraser University and Fraser Health AuthoritySurrey, BC, Canada.
Careesa C LiuFaculty of Applied Science, School of Engineering Science, Simon Fraser UniversityBurnaby, BC, Canada; NeuroTech Lab, Simon Fraser University and Fraser Health AuthoritySurrey, BC, Canada.
Xiaowei SongFaculty of Applied Science, School of Engineering Science, Simon Fraser UniversityBurnaby, BC, Canada; NeuroTech Lab, Simon Fraser University and Fraser Health AuthoritySurrey, BC, Canada; Health Sciences and Innovation, Surrey Memorial Hospital, Fraser Health AuthoritySurrey, BC, Canada.
Shaun FicklingFaculty of Applied Science, School of Engineering Science, Simon Fraser UniversityBurnaby, BC, Canada; NeuroTech Lab, Simon Fraser University and Fraser Health AuthoritySurrey, BC, Canada.
Luke E LiuNeuroTech Lab, Simon Fraser University and Fraser Health Authority Surrey, BC, Canada.
Gabriela PawlowskiNeuroTech Lab, Simon Fraser University and Fraser Health AuthoritySurrey, BC, Canada; Biomedical Physiology and Kinesiology, Faculty of Science, Simon Fraser UniversityBurnaby, BC, Canada.
Janelle K JorgensenSports Medicine Center, Mayo Clinic Rochester, MN, USA.
Aynsley M SmithSports Medicine Center, Mayo Clinic Rochester, MN, USA.
Michal Schnaider-BeeriDepartment of Psychiatry, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Joseph Sagol Neuroscience Centre, Sheeba Medical CentreRamat Gan, Israel.
Rudi Van Den BroekHealthTech Connex Inc. Surrey, BC, Canada.
Rowena RizzottiHealthTech Connex Inc. Surrey, BC, Canada.
Kirk FisherHealthTech Connex Inc. Surrey, BC, Canada.
Ryan C N D'ArcyFaculty of Applied Science, School of Engineering Science, Simon Fraser UniversityBurnaby, BC, Canada; NeuroTech Lab, Simon Fraser University and Fraser Health AuthoritySurrey, BC, Canada; Health Sciences and Innovation, Surrey Memorial Hospital, Fraser Health AuthoritySurrey, BC, Canada; Biomedical Physiology and Kinesiology, Faculty of Science, Simon Fraser UniversityBurnaby, BC, Canada; HealthTech Connex Inc.Surrey, BC, Canada.
Fraser Health · CASimon Fraser University · CAMayo Clinic in Arizona · USIcahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

clinical neuroscienceERPsevoked potentialsneurologyvital signs

Identifiers

PMID27242415
PMCPMC4867677
OpenAlexW2355963356

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.