Evidence map›Paper›PMID 39428875›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024

Mechanisms of brain self-regulation: psychological factors, mechanistic models and neural substrates.

Ranganatha Sitaram, Andrea Sanchez-Corzo, Gabriela Vargas, Aurelio Cortese, Wael El-Deredy, Andrew Jackson, Eberhard Fetz

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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.

Ranganatha SitaramMultimodal Functional Brain Imaging and Neurorehabilitation Hub, Diagnostic Imaging Department, Saint Jude Children's Research Hospital, 262 Danny Thomas Place Memphis , TN 38105, USA.ORCID 0000-0002-8577-8035
Andrea Sanchez-CorzoMultimodal Functional Brain Imaging and Neurorehabilitation Hub, Diagnostic Imaging Department, Saint Jude Children's Research Hospital, 262 Danny Thomas Place Memphis , TN 38105, USA.
Gabriela VargasInstitute of Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362 , Santiago de Chile 8330074, Chile.
Aurelio CorteseDepartment of Decoded Neurofeedback, ATR Computational Neuroscience Laboratories , Kyoto 619-0288, Japan.
Wael El-DeredyBrain Dynamics Lab, Universidad de Valparaíso , Valparaiso, Chile.
Andrew JacksonBiosciences Institute, Newcastle University , Newcastle NE2 4HH, UK.
Eberhard FetzDepartment of Physiology and Biophysics, Washington National Primate Research Center, University of Washington , Seattle, WA, USA.

Funding

ATR Computational Neuroscience LaboratoriesNational Institute of Health
6 · The paper itself

Abstract

While neurofeedback represents a promising tool for neuroscience and a brain self-regulation approach to psychological rehabilitation, the field faces several problems and challenges. Current research has shown great variability and even failure among human participants in learning to self-regulate target features of brain activity with neurofeedback. A better understanding of cognitive mechanisms, psychological factors and neural substrates underlying self-regulation might help improve neurofeedback's scientific and clinical practices. This article reviews the current understanding of the neural mechanisms of brain self-regulation by drawing on findings from human and animal studies in neurofeedback, brain-computer/machine interfaces and neuroprosthetics. In this article, we look closer at the following topics: cognitive processes and psychophysiological factors affecting self-regulation, theoretical models and neural substrates underlying self-regulation, and finally, we provide an outlook on the outstanding gaps in knowledge and technical challenges. This article is part of the theme issue 'Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation'.

Indexed as

BrainNeurofeedbackSelf-ControlAnimalsBrain-Computer InterfacesCognitionHumansModels, Neurologicalactive inferencebrain–computer interfacebrain–machine interfaceneurofeedbackreinforcement learning

Identifiers

PMID39428875
PMCPMC11491850

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.