Evidence map›Paper›PMID 31001013›Full record

ArticleJournal of neurosciences in rural practice

Study of Frontal Alpha Asymmetry in Mild Depression: A Potential Biomarker or Not?

Ambrish S Dharmadhikari, Suyog Vijay Jaiswal, Avinash L Tandle, Deoraj Sinha, Nandini Jog

Abstract read
In one paragraph

Article in Journal of neurosciences in rural practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Aperiodic neural activity is a biomarker for depression severity.medRxiv : the preprint server for health sciences · 2023
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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.

Ambrish S DharmadhikariDepartment of Psychiatry, H. B. T. Medical College and Dr. R. N. Cooper Mun. Gen. Hospital, Mumbai, Maharashtra, India.
Suyog Vijay JaiswalDepartment of Psychiatry, H. B. T. Medical College and Dr. R. N. Cooper Mun. Gen. Hospital, Mumbai, Maharashtra, India.
Avinash L TandleDepartment of Electronics and Telecommunication, Mukesh Patel School of Technology, Management and Engineering, NMIMS University, Mumbai, Maharashtra, India.
Deoraj SinhaDepartment of Psychiatry, H. B. T. Medical College and Dr. R. N. Cooper Mun. Gen. Hospital, Mumbai, Maharashtra, India.
Nandini JogDepartment of Electronics and Telecommunication, Mukesh Patel School of Technology, Management and Engineering, NMIMS University, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression, despite being the most common of mental illness lacks any quantifiable and absolute biomarker. Frontal alpha asymmetry (FAA) is proposed as biomarker of depression both in resting and activated state. Yet, the location of extraction of alpha, clinical utility as well as validity of FAA is uncertain. With aim of obtaining clarity on this confusion we conducted this study. METHODOLOGY: Electroencephalographic frontal alpha power was calculated in patients of depression (

resultsFrontal alpha power was measured across FP1, FP2, F3, F4, F7, and F8. Mean powers were compared in resting (before), activated (during) and postactivated resting stage (after). FAA was statistically significant in F7-F8 pair of electrodes and on F7 electrode when compared between cases and controls.

conclusionQuest for biomarker for depression churned out FAA as frontrunner. Despite of vast amount of research on it, practical utility eludes us. We need to revisit our approach from conventional search of the diagnostic biomarker; as FAA might reflect component of depression but not totally disorder. In our opinion, we are not yet ready for it and have a road ahead to travel.

Indexed as

Alpha rhythmbiomarkerdepressive disorderelectroencephalographyfrontal alpha asymmetry

Identifiers

PMID31001013
PMCPMC6454961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.