Evidence map›Paper›PMID 41013008›Full record

SynthesisSensors (Basel, Switzerland)2025

Combined Use of Electroencephalography and Transcranial Electrical Stimulation: A Systematic Review.

Pasquale Arpaia, Anna Della Calce, Lucrezia Di Marino, Luciana Lorenzon, Luigi Maffei, Nicola Moccaldi, Pedro M Ramos

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 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

7 authors.

Pasquale ArpaiaDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.ORCID 0000-0002-5192-5922
Anna Della CalceDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.ORCID 0009-0003-8831-3756
Lucrezia Di MarinoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.ORCID 0009-0009-9515-2923
Luciana LorenzonCentro Neurologico Neuroagain, Via Pasquale Biondi, 12, 82016 Montesarchio, Italy.
Luigi MaffeiDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.
Nicola MoccaldiDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.ORCID 0000-0002-1035-5740
Pedro M RamosInstituto de Telecomunicações, Instituto Superior Técnico (IST), 1049-001 Lisboa, Portugal.ORCID 0000-0001-8914-9781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review examines the combined use of electroencephalography (EEG) and transcranial electrical stimulation (tES) in both clinical and healthy populations. The review focuses on EEG's role in guiding, monitoring, and evaluating tES interventions and assesses the generalizability of EEG responses to different tES protocols. A comprehensive search across Google Scholar, PubMed, Scopus, IEEE Xplore, ScienceDirect, and Web of Science identified 162 relevant studies using the query: "EEG AND (tDCS OR transcranial direct current stimulation OR tACS OR transcranial alternating current stimulation OR tRNS OR transcranial random noise stimulation OR tPCS OR transcranial pulsed current stimulation)". Quality was assessed using the Quality Assessment Tool for Quantitative Studies (QATQS). Most studies used EEG post tES to assess neuromodulatory effects, with fewer studies using EEG for protocol design or incorporating real-time EEG for adaptive stimulation. Some studies integrated EEG both before and after stimulation, but considerable heterogeneity in tES parameters and EEG metrics limited reproducibility and comparability. Many studies reported non-significant EEG changes despite standardized approaches. Methodological quality was generally low, and the link between EEG changes and clinical outcomes remains unclear. The findings underscore the potential of EEG-informed, personalized tES protocols, though the use of real-time closed-loop systems remains a limited approach in current research.

Indexed as

ElectroencephalographyTranscranial Direct Current StimulationBrainHumansclosed loopEEGpersonalizationtES

Identifiers

PMID41013008
PMCPMC12473811

What OpenQuestion holds

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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.