Evidence map›Paper›PMID 40896716›Full record

ArticleMethodsX2025

An intelligent closed-loop CES for depression treatment using brain signals and machine learning.

Fahimeh Mosayebinejad, Hamid Mirhosseini, Sara Jambarsang, Fahimeh Saeed, Reza Daneshmand, Morteza Mojaver, Setareh Zargar, Asma Khosravi Najafabadi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Fahimeh MosayebinejadResearch Assistant, Shahid Sadoughi University of Medical Sciences, Yazd, , Iran.
Hamid MirhosseiniAssociate Professor, Department of psychiatry, Research center of addiction and behavioral sciences, Non-communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Sara JambarsangAssociate Professor, Department of Bio-Statistics and Epidemiology, Shahid Sadoughi University of Medical Sciences,Yazd, Iran.
Fahimeh SaeedAssistant Professor, Psychosis Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Reza DaneshmandPsychiatrist, Substance abuse and dependence Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Morteza MojaverCognitive Rehabilitation and Neurotherapy Practitioner, Dr. Reza Daneshmand Psychiatric Clinic, Tehran, Iran.
Setareh ZargarPsychiatry resident, Psychosis Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Asma Khosravi NajafabadiStudent Research Committee, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This method presents a double-blind, randomized, parallel-group clinical trial aimed at personalizing cranial electrotherapy stimulation (CES) according to individual brain signals, assessing the effect of Intelligent Closed-Loop Cranial Electrotherapy Stimulation (IC-CES) on Major Depressive Disorder (MDD).

Indexed as

Brain SignalsElectric stimulation therapyMachine learningMajor depressive disorder

Identifiers

PMID40896716
PMCPMC12398912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.