Evidence map›Paper›PMID 41426558›Full record

ArticleFrontiers in medicine2025

fNIRS vs. EEG in audiological diagnostics: novel approaches to recording brain responses to auditory stimulation.

Tomas Mimra, Martin Augustynek, Lukas Klein

Abstract read
In one paragraph

Article in Frontiers in medicine, 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
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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

3 authors.

Tomas MimraDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
Martin AugustynekDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
Lukas KleinENET Centre - CEET, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, Ostrava, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electroencephalography (EEG) is the traditional method for Auditory Evoked Potentials (AEPs) like Brainstem Auditory Evoked Response (BERA), offering excellent temporal resolution but facing limitations in portability and patient comfort. This study investigates functional Near-Infrared Spectroscopy (fNIRS) as a non-invasive, hemodynamic-based alternative. Methods: We performed simultaneous EEG and fNIRS measurements on healthy volunteers to compare responses to two auditory stimuli: rapid "clicks" ( Results: For rapid click stimulation, EEG demonstrated its superiority in detecting millisecond-scale Jewett waves. While fNIRS showed transient features in temporal proximity to auditory brainstem responses (ABRs), it could not resolve these fast potentials. For the slower warble stimulation, fNIRS excelled, detecting significant hemodynamic changes in all participants. A comprehensive analysis, including a repeated-measures Analysis of Spatial Specificity (ANOVA), confirmed a highly structured, repeatable, and spatially specific response, arguing against systemic artifacts and supporting a neural origin. Conclusion: EEG remains the indispensable tool for rapid auditory brainstem diagnostics. However, fNIRS shows significant potential for measuring robust cortical responses to slower, more complex auditory stimuli. With advantages in comfort and portability, fNIRS can serve as a valuable complement to EEG, particularly in clinical scenarios where EEG application is constrained, such as in pediatric or mobile audiological assessments.

Indexed as

audiological diagnosticsauditory stimulationBERAEEGevoked potentialsfNIRShemodynamic response

Identifiers

PMID41426558
PMCPMC12714936

What Socratic holds

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Registered trials

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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 Socratic graph.