Evidence map›Paper›PMID 35957421›Full record

ReviewSensors (Basel, Switzerland)2022

Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review.

Rihui Li, Dalin Yang, Feng Fang, Keum-Shik Hong, Allan L Reiss, Yingchun Zhang

Registry-linked trialAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06974448 (Comparison of Frontal Hemodynamic Responses and Electrical Brain Activity During Dual Tasks in COPD Patients Versus Healthy Individuals), which is not on this map. Cited by 100 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 4 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.

NCT06974448 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Comparison of Frontal Hemodynamic Responses and Electrical Brain Activity During Dual Tasks in COPD Patients Versus Healthy Individuals

TypeobservationalSponsorHacettepe UniversityRan2025 to 2026Enrolled32ConditionsCOPD - Chronic Obstructive Pulmonary Disease, Healty Controls
3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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40 more citing papers are in PubMed but not listed here.

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

6 authors.

Rihui LiCenter for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0001-8006-7333
Dalin YangSchool of Mechanical Engineering, Pusan National University, Pusan 43241, Korea.
Feng FangDepartment of Biomedical Engineering, University of Houston, Houston, TX 77004, USA.ORCID 0000-0003-1004-7876
Keum-Shik HongSchool of Mechanical Engineering, Pusan National University, Pusan 43241, Korea.
Allan L ReissCenter for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-1979-4942
Yingchun ZhangDepartment of Biomedical Engineering, University of Houston, Houston, TX 77004, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better spatial resolution, though it is constrained by its poor temporal resolution. One important merit shared by the EEG and fNIRS is that both modalities have favorable portability and could be integrated into a compatible experimental setup, providing a compelling ground for the development of a multimodal fNIRS-EEG integration analysis approach. Despite a growing number of studies using concurrent fNIRS-EEG designs reported in recent years, the methodological reference of past studies remains unclear. To fill this knowledge gap, this review critically summarizes the status of analysis methods currently used in concurrent fNIRS-EEG studies, providing an up-to-date overview and guideline for future projects to conduct concurrent fNIRS-EEG studies. A literature search was conducted using PubMed and Web of Science through 31 August 2021. After screening and qualification assessment, 92 studies involving concurrent fNIRS-EEG data recordings and analyses were included in the final methodological review. Specifically, three methodological categories of concurrent fNIRS-EEG data analyses, including EEG-informed fNIRS analyses, fNIRS-informed EEG analyses, and parallel fNIRS-EEG analyses, were identified and explained with detailed description. Finally, we highlighted current challenges and potential directions in concurrent fNIRS-EEG data analyses in future research.

Indexed as

ElectroencephalographySpectroscopy, Near-InfraredBrainFunctional Neuroimagingconcurrent recordingEEGfunctional NIRSintegrated analysismultimodal neuroimaging

Identifiers

PMID35957421
PMCPMC9371171

What OpenQuestion holds

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Registered trials

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.