Evidence map›Paper›PMID 37340487›Full record

ReviewBioelectronic medicine2023

Remote collection of electrophysiological data with brain wearables: opportunities and challenges.

Richard James Sugden, Viet-Linh Luke Pham-Kim-Nghiem-Phu, Ingrid Campbell, Alberto Leon, Phedias Diamandis

Open access · goldAbstract readReview
In one paragraph

Review in Bioelectronic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Neurofeedback for functional neurological disorders: future directions for research and clinical practice.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
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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

5 authors at 1 institution in 1 country.

Richard James Sugden *Department of Medical Biophysics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
Viet-Linh Luke Pham-Kim-Nghiem-Phu *Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2C1, Canada.
Ingrid CampbellPrincess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2C1, Canada.
Alberto LeonPrincess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2C1, Canada.
Phedias DiamandisDepartment of Medical Biophysics, University of Toronto, Toronto, ON, M5S 1A8, Canada. p.diamandis@mail.utoronto.ca.ORCID http://orcid.org/0000-0001-5291-9068
University Health Network · CA

Funding

Adam Coules Brain Tumour Research Grant Adam Coules Brain Tumour Research GrantBrain Tumour Foundation of Canada Brain Tumour Foundation of CanadaCanadian Institute of Health Research Canadian Institute of Health ResearchNSERC CGSM NSERC CGSMOntario Cancer Institute/PMCC OSOTF Ontario Cancer Institute/PMCC OSOTFOntario Graduate Scholarship Ontario Graduate ScholarshipPrincess Margaret Cancer Foundation Princess Margaret Cancer FoundationTerry Fox Foundation Terry Fox Foundation
6 · The paper itself

Abstract

Collection of electroencephalographic (EEG) data provides an opportunity to non-invasively study human brain plasticity, learning and the evolution of various neuropsychiatric disorders. Traditionally, due to sophisticated hardware, EEG studies have been largely limited to research centers which restrict both testing contexts and repeated longitudinal measures. The emergence of low-cost "wearable" EEG devices now provides the prospect of frequent and remote monitoring of the human brain for a variety of physiological and pathological brain states. In this manuscript, we survey evidence that EEG wearables provide high-quality data and review various software used for remote data collection. We then discuss the growing body of evidence supporting the feasibility of remote and longitudinal EEG data collection using wearables including a discussion of potential biomedical applications of these protocols. Lastly, we discuss some additional challenges needed for EEG wearable research to gain further widespread adoption.

Indexed as

DiagnosticsElectroencephalographyNeuropathologyRemote medicineWearable devices

Identifiers

PMID37340487
PMCPMC10283168
OpenAlexW4381326034

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.