Evidence map›Paper›PMID 31505367›Full record

Trial reportNeuroImage. Clinical2019

Blame-rebalance fMRI neurofeedback in major depressive disorder: A randomised proof-of-concept trial.

Roland Zahn, Julie H Weingartner, Rodrigo Basilio, Patricia Bado, Paulo Mattos, João R Sato, Ricardo de Oliveira-Souza, Leo F Fontenelle, Allan H Young, Jorge Moll

3 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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.

NCT01920490 nacompletednot on this map

Rebalancing Blame Using fMRI Neurofeedback: a Double-blind Controlled Clinical Proof-of-concept Trial in Remitted Major Depressive Disorder

TypeinterventionalSponsorD'Or Institute for Research and EducationRan2013 to 2014Enrolled32ConditionsMajor Depressive DisorderArmsGUILT-INCREASE-CORRELATION, GUILT-STABILIZE-CORRELATION
NCT05627895 completednot on this mapstarted 2023, after this paper: background citation

A Feasibility Study of fMRI-neurofeedback in Parkinson's Disease

TypeobservationalSponsorMaastricht UniversityRan2023 to 2024Enrolled12ConditionsBasal-ganglia fMRI NeurofeedbackArmsNeurofeedback
NCT06582355 narecruitingnot on this mapstarted 2025, after this paper: background citation

MOTOR-NF - a Randomized Controlled Trial of FMRI-based Neurofeedback for Motor Symptoms of Parkinson's Disease

TypeinterventionalSponsorMaastricht University Medical CenterRan2025 to 2026Enrolled60ConditionsParkinson DiseaseArmsNeurofeedback, Kinesthetic imagery
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Effectiveness of fMRI-based Neurofeedback Therapy on Depression: A Systematic Review.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Clinical Application of Real-Time fMRI-Based Neurofeedback for Depression.Advances in experimental medicine and biology · 2021
    Article
  12. 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

10 authors.

Roland ZahnCentre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Julie H WeingartnerCognitive and Behavioral Neuroscience Unit, Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
Rodrigo BasilioCognitive and Behavioral Neuroscience Unit, Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
Patricia BadoCognitive and Behavioral Neuroscience Unit, Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; Instituto de Ciências Biomédicas (ICB), Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Paulo MattosCognitive and Behavioral Neuroscience Unit, Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
João R SatoCognitive and Behavioral Neuroscience Unit, Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; Center for Mathematics, Computation, and Cognition, Universidade Federal do ABC, Santo André, Brazil.
Ricardo de Oliveira-SouzaCognitive and Behavioral Neuroscience Unit, Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; Gaffrée e Guinle University Hospital, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil.
Leo F FontenelleCognitive and Behavioral Neuroscience Unit, Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.
Allan H YoungCentre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Jorge MollCognitive and Behavioral Neuroscience Unit, Neuroinformatics Workgroup, D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; Scients Institute, Palo Alto, USA. Electronic address: jorge.moll@idor.org.

Funding

Medical Research Council G0902304
6 · The paper itself

Abstract

Previously, using fMRI, we demonstrated lower connectivity between right anterior superior temporal (ATL) and anterior subgenual cingulate (SCC) regions while patients with major depressive disorder (MDD) experience guilt. This neural signature was detected despite symptomatic remission which suggested a putative role in vulnerability. This randomised controlled double-blind parallel group clinical trial investigated whether patients with MDD are able to voluntarily modulate this neural signature. To this end, we developed a fMRI neurofeedback software (FRIEND), which measures ATL-SCC coupling and displays its levels in real time. Twenty-eight patients with remitted MDD were randomised to two groups, each receiving one session of fMRI neurofeedback whilst retrieving guilt and indignation/anger-related autobiographical memories. They were instructed to feel the emotion whilst trying to increase the level of a thermometer-like display on a screen. Active intervention group: The thermometer levels increased with increasing levels of ATL-SCC correlations in the guilt condition. Control intervention group: The thermometer levels decreased when correlation levels deviated from the previous baseline level in the guilt condition, thus reinforcing stable correlations. Both groups also received feedback during the indignation condition reinforcing stable correlations. We confirmed our predictions that patients in the active intervention group were indeed able to increase levels of ATL-SCC correlations for guilt vs. indignation and their self-esteem after training compared to before training and that this differed significantly from the control intervention group. These data provide proof-of-concept for a novel treatment target for MDD patients and are in keeping with the hypothesis that ATL-SCC connectivity plays a key role in self-worth. https://clinicaltrials.gov/ct2/show/results/NCT01920490.

Indexed as

Functional NeuroimagingGuiltSelf ConceptAdultDouble-Blind MethodFemaleGyrus CinguliHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedNeurofeedbackProof of Concept StudyTemporal LobeAngerAnterior temporal lobeClinical trialfMRI neurofeedbackGuiltMajor depressive disorderReal-time fMRISelf-esteemSubgenual cingulate cortex

Identifiers

PMID31505367
PMCPMC6737344

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.