Evidence map›Paper›PMID 40808811›Full record

ArticleFrontiers in human neuroscience2025

ILF-neurofeedback in clinical practice: examining symptom change and performance metrics across diagnostic groups.

Thomas Theis, Ute Bolduan, Sigrid Seuß, Johannes Spallek, Bernhard Wandernoth, René Mayer-Pelinski

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Thomas TheisREHA Point, Group of Occupational Therapy Clinics in Kassel, Kassel, Germany.
Ute BolduanREHA Point, Group of Occupational Therapy Clinics in Kassel, Kassel, Germany.
Sigrid SeußBEE Medic GmbH, Singen, Germany.
Johannes SpallekBEE Medic GmbH, Singen, Germany.
Bernhard WandernothBEE Medic GmbH, Singen, Germany.
René Mayer-PelinskiBEE Medic GmbH, Singen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Neurofeedback (NF), particularly Infra-Low Frequency (ILF) Neurofeedback, is an emerging method of neuromodulation aimed at enhancing the brain's self-regulation. It is a potentially powerful tool to complement the clinician's toolbox, supporting the treatment of symptoms stemming from arousal regulation deficiencies. Despite the broad use and applicability of the arousal regulation model, there is a gap between its practical use and academic research. This study examines the effectiveness of ILF Neurofeedback across different diagnostic groups and explores whether subjective symptom changes correlate with objective performance measures. Methods: Between 2015 and 2024, a study of 256 patients in an occupational therapy practice focused on comparing the influence of ILF Neurofeedback on different symptomatic groups. The groups were divided according to the ICD-10 F-codes for "F3-Mood Disorders" (MO), "F4-Neurotic, Stress-Related, and Somatoform Disorders" (NS), "F8-Developmental Disorders" (PD), and 'F9-Childhood/Adolescent Behavioral Disorders' (BE). Symptom tracking and the Continuous Performance Test (CPT) for assessing errors and reaction times were used to monitor progress before and after neurofeedback therapy. Results: Discriminant analysis showed significant symptom profile differences across diagnostic groups with an accuracy of 79%. A linear mixed model revealed consistent symptom reduction over Neurofeedback sessions, with a faster decline in early sessions. ILF Neurofeedback improved response times, reduced errors, enhanced discriminative ability, and increased caution, with no group differences. Correlation analysis showed that symptom tracking correlated with reduced commission errors and improved d-prime in the MO group, while in NS, it was linked to d-prime increase. In PD, symptom tracking correlated with correct responses and fewer omission errors; no significant correlations were found in BE. Discussion: This study confirms that ILF Neurofeedback is equally effective across four diagnostic groups regarding self-report and performance. Symptoms significantly decreased during NF, with the fastest decline in the first 10 sessions. Performance improvements were seen in Continuous Performance Test measures, but symptom decline only correlated with performance in some groups. This suggests that subjective ratings and performance may be independent or depend on the diagnostic group. Further research with a control group is needed to explore ILF's effects.

Indexed as

continuous performance taskEEG-biofeedbackILFinfra-low-frequencymental disordersneurofeedbacksymptom tracking

Identifiers

PMID40808811
PMCPMC12343661

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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 OpenQuestion graph.