Evidence map›Paper›PMID 38479461›Full record

ArticleNeuroImage2024

Validation of real-time fMRI neurofeedback procedure for cognitive training using counterbalanced active-sham study design.

Vadim Zotev, Jessica R McQuaid, Cidney R Robertson-Benta, Anne K Hittson, Tracey V Wick, Josef M Ling, Harm J van der Horn, Andrew R Mayer

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

8 authors at 1 institution in 1 country.

Vadim ZotevThe Mind Research Network/LBRI, Albuquerque, NM, USA. Electronic address: vzotev@mrn.org.
Jessica R McQuaidThe Mind Research Network/LBRI, Albuquerque, NM, USA.
Cidney R Robertson-BentaThe Mind Research Network/LBRI, Albuquerque, NM, USA.
Anne K HittsonThe Mind Research Network/LBRI, Albuquerque, NM, USA; Department of Pediatrics, University of New Mexico, Albuquerque, NM, USA.
Tracey V WickThe Mind Research Network/LBRI, Albuquerque, NM, USA.
Josef M LingThe Mind Research Network/LBRI, Albuquerque, NM, USA.
Harm J van der HornThe Mind Research Network/LBRI, Albuquerque, NM, USA.
Andrew R MayerThe Mind Research Network/LBRI, Albuquerque, NM, USA; Department of Psychiatry & Behavioral Sciences, University of New Mexico, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA; Department of Neurology, University of New Mexico, Albuquerque, NM, USA.
Mind Research Network · US

Funding

Pilot Project Program (PPP)P30GM122734 · NIGMS · THE MIND RESEARCH NETWORK · PI MAYER, ANDREW ROBERT · 2018 to 2022
$7.0M
Siemens MAGNETOM Prisma/Prisma fit upgradeS10OD025313 · OD · THE MIND RESEARCH NETWORK · PI MAYER, ANDREW ROBERT · 2018 to 2018
$1.5M
NIGMS NIH HHS P30 GM122734NIH HHS S10 OD025313
6 · The paper itself

Abstract

Investigation of neural mechanisms of real-time functional MRI neurofeedback (rtfMRI-nf) training requires an efficient study control approach. A common rtfMRI-nf study design involves an experimental group, receiving active rtfMRI-nf, and a control group, provided with sham rtfMRI-nf. We report the first study in which rtfMRI-nf procedure is controlled through counterbalancing training runs with active and sham rtfMRI-nf for each participant. Healthy volunteers (n = 18) used rtfMRI-nf to upregulate fMRI activity of an individually defined target region in the left dorsolateral prefrontal cortex (DLPFC) while performing tasks that involved mental generation of a random numerical sequence and serial summation of numbers in the sequence. Sham rtfMRI-nf was provided based on fMRI activity of a different brain region, not involved in these tasks. The experimental procedure included two training runs with the active rtfMRI-nf and two runs with the sham rtfMRI-nf, in a randomized order. The participants achieved significantly higher fMRI activation of the left DLPFC target region during the active rtfMRI-nf conditions compared to the sham rtfMRI-nf conditions. fMRI functional connectivity of the left DLPFC target region with the nodes of the central executive network was significantly enhanced during the active rtfMRI-nf conditions relative to the sham conditions. fMRI connectivity of the target region with the nodes of the default mode network was similarly enhanced. fMRI connectivity changes between the active and sham conditions exhibited meaningful associations with individual performance measures on the Working Memory Multimodal Attention Task, the Approach-Avoidance Task, and the Trail Making Test. Our results demonstrate that the counterbalanced active-sham study design can be efficiently used to investigate mechanisms of active rtfMRI-nf in direct comparison to those of sham rtfMRI-nf. Further studies with larger group sizes are needed to confirm the reported findings and evaluate clinical utility of this study control approach.

Indexed as

NeurofeedbackBrainBrain MappingCognitive TrainingHumansMagnetic Resonance ImagingCentral executive networkCounterbalanced designDefault mode networkDorsolateral prefrontal cortexNeurofeedbackReal-time fMRI

Identifiers

PMID38479461
PMCPMC11060147
OpenAlexW4392715155

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.