Evidence map›Paper›PMID 32193171›Full record

ArticleNeuroImage. Clinical2020

Connectome-wide search for functional connectivity locus associated with pathological rumination as a target for real-time fMRI neurofeedback intervention.

Masaya Misaki, Aki Tsuchiyagaito, Obada Al Zoubi, Martin Paulus, Jerzy Bodurka, Tulsa 1000 Investigators

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Neurofeedback in Major Depression.Advances in experimental medicine and biology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Editorial: Clinical Neurofeedback.NeuroImage. Clinical · 2022
    Article
  18. Review
  19. Article
  20. 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

6 authors.

Masaya MisakiLaureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, United States. Electronic address: mmisaki@laureateinstitute.org.
Aki TsuchiyagaitoLaureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, United States; Japan Society for the Promotion of Science, Tokyo, Japan.
Obada Al ZoubiLaureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, United States; Department of Electrical and Computer Engineering, University of Oklahoma, Tulsa, Oklahoma, United States.
Martin PaulusLaureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, United States.
Jerzy BodurkaLaureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, United States; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States. Electronic address: jbodurka@laureateinstitute.org.
Tulsa 1000 InvestigatorsLaureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, United States.

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI Maëlle Camille Marie Gueguen · 2017 to 2026
$23.7M
NIGMS NIH HHS P20 GM121312
6 · The paper itself

Abstract

Real-time fMRI neurofeedback (rtfMRI-nf) enables noninvasive targeted intervention in brain activation with high spatial specificity. To achieve this promise of rtfMRI-nf, we introduced and demonstrated a data-driven framework to design a rtfMRI-nf intervention through the discovery of precise target location associated with clinical symptoms and neurofeedback signal optimization. Specifically, we identified the functional connectivity locus associated with rumination symptoms, utilizing a connectome-wide search in resting-state fMRI data from a large cohort of mood and anxiety disorder individuals (N = 223) and healthy controls (N = 45). Then, we performed a rtfMRI simulation analysis to optimize the online functional connectivity neurofeedback signal for the identified functional connectivity. The connectome-wide search was performed in the medial prefrontal cortex and the posterior cingulate cortex/precuneus brain regions to identify the precise location of the functional connectivity associated with rumination severity as measured by the ruminative response style (RRS) scale. The analysis found that the functional connectivity between the loci in the precuneus (-6, -54, 48 mm in MNI) and the right temporo-parietal junction (RTPJ; 49, -49, 23 mm) was positively correlated with RRS scores (depressive, p < 0.001; brooding, p < 0.001; reflective, p = 0.002) in the mood and anxiety disorder group. We then performed a rtfMRI processing simulation to optimize the online computation of the precuneus-RTPJ connectivity. We determined that the two-point method without a control region was appropriate as a functional connectivity neurofeedback signal with less dependence on signal history and its accommodation of head motion. The present study offers a discovery framework for the precise location of functional connectivity targets for rtfMRI-nf intervention, which could help directly translate neuroimaging findings into clinical rtfMRI-nf interventions.

Indexed as

AdultAnxiety DisordersBrainConnectomeFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedMood DisordersNerve NetNeurofeedbackRumination, CognitiveConnectome-wide analysisMood and anxiety disorderPrecuneusReal-time fMRIRuminationTemporo-parietal junction

Identifiers

PMID32193171
PMCPMC7082218

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.