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RecruitingNCT07211269Updated Oct 7, 2025

Individual Differences in Cognitive Control Predict Real-time fMRI Neurofeedback Performance

An interventional study of Real-time fMRI neurofeedback training in Healthy, sponsored by University of Electronic Science and Technology of China. Recruiting at 1 site in China. Open to participants aged 18 Years to 35 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-10-07.

Sponsored by University of Electronic Science and Technology of China · Not applicable, Interventional, and Basic science

From the registry’s dates

  • Primary completion was expected by Dec 2025, 9 months ago, but the record still lists the study as recruiting.
  • Started Sep 2025; still recruiting 1 year 1 month later.
Phase
Not applicable
Study type
Interventional
Enrollment
40
Allocation
Not applicable
Ages
18 Years to 35 Years
Sex
All
01

Study summary

The goal of this study is to investgate whether individual differences of cognitive control capacity could predict neurofeedback performance and the behavioral effects resulting from successful anterior insula regulation via interoceptive strategy.

Read the detailed description

The experimental protocol comprises two visits with a 3-7 days interval. The first visit includes: (1) completion of standardized psychological questionnaires, (2) pre-test of the heartbeat counting task (HCT), and (3) four validated cognitive control tasks, including the Go/No-Go task, Stroop task, Task-switching task, N-back task. The main task of the second visit is a fMRI task followed by a post-test of the HCT. The MRI scanning protocol includes anatomical scan, two resting-state scans (pre- and post-training), four runs of fMRI neurofeedback training and a transfer run without feedback. During the regulation block of the training task, participants are asked to upregulate the anterior insula activity followed by a pain empathy rating and strategy efficacy rating. All participants receive real-time neurofeedback from the left anterior insula. Scores of questionnaires including Positive and Negative Affect Schedule, Beck Depression Inventory-Ⅱ, Autism Spectrum Quotient, State-Trait Anxiety Inventory, Interpersonal Reactivity Index, Toronto Alexithymia scale, Bermond-Vorst Alexithymia Questionnaire, Interoceptive Confusion Questionnaire, Multidimensional Assessment of Interoceptive Awareness, Cognitive Flexibility Inventory are also collected before the experiment.

02

Conditions studied

  • Healthy

Keywords

  • Neurofeedback Performance
  • Interoception
  • Cognitive Control
03

In context

Lead sponsor

University of Electronic Science and Technology of China is the lead sponsor of 109 studies on the registry; 35 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 35 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Healthy subjects without any past or present psychiatric or neurological disorders

Exclusion criteria

Exclusion Criteria:

  • History of brain injury Medical or mental illness and color blindness or weakness.
  • The presence of metal in the body or claustrophobia.
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
40 participants (estimated)

Study arms

  • Experimental
    Neurofeedback group

    Participants received real-time neurofeedback information from the target regulation brain region.

    Other: Real-time fMRI neurofeedback training

Interventions

  • OtherReal-time fMRI neurofeedback training

    Real-time neurofeedback information is computed using the Turbo Brain voyager (TBV) 4.0 software (Brain Innovation, Maastricht, The Netherlands). Functional images are collected and processed in real time based on contrasts of regulation vs. rest conditions. The BOLD signal of the target region is then transformed into visual bars and displayed to participants via the projector screen while participants keep using regulation strategy (heartbeat interoception in our study) to upregulate the target region.

06

What researchers measure

Primary outcomes

  1. BOLD signal of the anterior insula during neurofeedback training

    The anterior insula activity induced by regulation relative to rest blocks in the neurofeedback training task and transfer task.

    Time frame: 1 hour

  2. Behavioral measurements in the cognitive control tasks

    Response time and accuracy are recorded in the cognitive control tasks (i.e., the Go/No-Go task, Stroop task, Task-switching, N-back task).

    Time frame: 1 hour

Secondary outcomes

  1. Pain empathy ratings scores

    Subjects were required to rate their empathic feeling towards painful pictures on a Likert Scale ranging from 1-9 (1 = not at all and 9 = very painful) after each block.

    Time frame: 1 hour

  2. Strategy efficacy rating scores

    Subjects were required to rate the strategy efficacy on a Likert Scale ranging from 1-9 (1 = not at all and 9 = very) after each block.

    Time frame: 1 hour

  3. Intero-ceptive accuracy

    The ratio of participants' perceived number of heartbeat relative to the recorded number of heartbeat in the heartbeat counting task.

    Time frame: 15 minutes

  4. Confidence rating scores of interoceptive sensitivity

    Subjects were asked to rate to what extent they can feel their heartbeat based on a Likert Scale ranging from 1-9 (1 = very low and 9 = very high) in the heartbeat counting task.

    Time frame: 15 minutes

07

Study locations

1 of 1 sites recruiting
  • University of Electronic Science and Technology of China
    Chengdu, Chengdu 611731, China
    Recruiting
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 7, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT07211269
Lead sponsor
University of Electronic Science and Technology of China
Responsible party
Shuxia Yao (Dr, University of Electronic Science and Technology of China) — Principal investigator
First posted
Oct 7, 2025
Start date
Sep 3, 2025
Primary completion
Dec 27, 2025 (estimated)
Completion
Jan 12, 2026 (estimated)
Last update
Oct 7, 2025

Study contacts

Keith M Kendrick, Dr.
Contact
k.kendrick.uestc@gmail.com
86-28-61830811
Yao Shuxia, Dr.
principal investigator · University of Electronic Science and Technology of China

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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