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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 44 out of 100. Digital health tools

Topic: Risk, prevention and care in population studies

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.

Key findings

Why it matters

This paper proposes a framework for extracting event-related brain potentials as potential brain vital signs for monitoring brain function. It confirmed specific ERPs at the individual level and age-related differences, but it is a monitoring framework, not a treatment or cure for Alzheimer's disease.

Study details

How this study scored 44/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 2 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 0 of 4; Effect reported 2 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 4 of 7; Citations per year 2 of 5; Impact for its field and year 3 of 6; Cited by studies here 0 of 6; Still being cited 2 of 4; Senior author's track record 2 of 4; Institution's track record 2 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 44 of 100.44 of 100 points earned56 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Frontiers in neuroscience)
Journal's citation record 2 / 4 Frontiers in Neuroscience: journal h-index 226 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2016 — within 20 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 4 / 7 Cited 58 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 4.8 citations a year over 12 year(s) since 2016
Impact for its field and year 3 / 6 Cited 4.1× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 2 / 4 Cited 17 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Ryan C.N. D’Arcy: h-index 34 (OpenAlex, whole career)
Institution's track record 2 / 3 Mayo Clinic: institution h-index 1,606 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 6 institution(s) in 3 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 27242415)
Free to read 2 / 2 Free to read
Total 44 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Ghosh Hajra, S., Liu, C. C., Song, X., Fickling, S., Liu, L. E., Pawlowski, G., et al. (2016). Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2016.00211

Vancouver

Ghosh Hajra S, Liu CC, Song X, Fickling S, Liu LE, Pawlowski G, et al. Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time. Frontiers in neuroscience. 2016. doi:10.3389/fnins.2016.00211. PMID: 27242415.

BibTeX

@article{ghoshhajra2016-27242415,
  author  = {Ghosh Hajra, S. and Liu, C. C. and Song, X. and Fickling, S. and Liu, L. E. and Pawlowski, G. and Jorgensen, J. K. and Smith, A. M. and others},
  title   = {{Developing Brain Vital Signs: Initial Framework for Monitoring Brain Function Changes Over Time}},
  journal = {Frontiers in neuroscience},
  year    = {2016},
  doi     = {10.3389/fnins.2016.00211},
  pmid    = {27242415},
  url     = {https://doi.org/10.3389/fnins.2016.00211}
}

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Referenced by this study and also in the alzhub library, so you can read them here.

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