Evidence map›Paper›PMID 38609518›Full record

ReviewNpj mental health research2023

Technical and clinical considerations for electroencephalography-based biomarkers for major depressive disorder.

Leif Simmatis, Emma E Russo, Joseph Geraci, Irene E Harmsen, Nardin Samuel

Open access · diamondAbstract readReview
In one paragraph

Review in Npj mental health research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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  14. Physiologically Guided Modeling for EEG Multichannel Signals.Bioengineering (Basel, Switzerland) · 2026
    Article
  15. Article
  16. Article
  17. Review
  18. Moving toward precision and personalized treatment strategies in psychiatry.The international journal of neuropsychopharmacology · 2025
    Review
  19. Differences in resting state and task-based EEG measures between patients with major depressive disorder and healthy controls.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  20. Article
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 2 institutions in 1 country.

Leif SimmatisFaculty of Medicine, University of Toronto, Toronto, ON, Canada.
Emma E RussoFaculty of Medicine, University of Toronto, Toronto, ON, Canada.
Joseph GeraciCove Neurosciences Inc., Toronto, ON, Canada.
Irene E HarmsenFaculty of Medicine, University of Toronto, Toronto, ON, Canada.
Nardin SamuelFaculty of Medicine, University of Toronto, Toronto, ON, Canada. nardin.samuel@mail.utoronto.ca.ORCID http://orcid.org/0000-0002-5007-4134
University of Toronto · CAQueen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a prevalent and debilitating psychiatric disease that leads to substantial loss of quality of life. There has been little progress in developing new MDD therapeutics due to a poor understanding of disease heterogeneity and individuals' responses to treatments. Electroencephalography (EEG) is poised to improve this, owing to the ease of large-scale data collection and the advancement of computational methods to address artifacts. This review summarizes the viability of EEG for developing brain-based biomarkers in MDD. We examine the properties of well-established EEG preprocessing pipelines and consider factors leading to the discovery of sensitive and reliable biomarkers.

Identifiers

PMID38609518
PMCPMC10955915
OpenAlexW4387936925

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.