Investigating Electroencephalographic Predictors of Default Mode Network Anticorrelation in Healthy Adults

NCT05592600 | Completed Results

• 2 other identifiers: 22080093891R21MH127384-01A1
• Study Type: interventional
• Target: 24
• Locations: 1 country
• Sites: 1

Brief Summary

Healthy adult subjects will participate in two sessions. The first session will involve measurements of brain activity using simultaneous recordings with electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI). During brain activity measurement, participants will perform cognitive tasks assessing attention. The second will involve fMRI-based neurofeedback during simultaneous EEG-fMRI recording. Participants will receive real-time visual feedback of signals measured from specific parts of their brain and will try to control that activity.

Conditions

Healthy

Outcome Measures

Primary Outcomes (1)

• Association Between EEG Measurements and Default Mode Network Brain Activity Measured With fMRI

  The investigators determined the degree to which features within EEG signals can approximate fMRI (default mode network activation) while participants performed cognitive tasks and brain activity was recorded with simultaneous EEG-fMRI. Model predictions (EEG prediction of fMRI) within each participant were generated from multiple EEG features, including spectral power in different frequency bands (Theta: 4-7 Hz, Alpha: 8-12 Hz, Beta1: 13-22 Hz, Beta2: 23-29 Hz, Gamma: 30-50 Hz). The average temporal correlation across the two sessions was computed between EEG and fMRI. A higher correlation indicated that EEG was more predictive of fMRI, whereas a lower correlation indicated EEG was less predictive of fMRI.

  Two sessions 3 to 62 days

Study Arms (1)

Neurofeedback

EXPERIMENTAL

Subjects will undergo one session where they will visualize real-time feedback of signals recorded from their brains.

Behavioral: Neurofeedback

Interventions

Neurofeedback BEHAVIORAL

Participants will visualize real-time feedback of signals recorded from their brains as measured with functional MRI.

Neurofeedback

Eligibility Criteria

• Age: 18 Years - 35 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• Age between 18-35

You may not qualify if:

• History of psychiatric or neurological disorder
• contraindication for MRI

Sponsors & Collaborators

• Drexel University: lead
• National Institute of Mental Health (NIMH): collaborator

Study Sites (1)

Drexel University

Philadelphia, Pennsylvania, 19104, United States

Location

MeSH Terms

Interventions

Neurofeedback

Intervention Hierarchy (Ancestors)

Biofeedback, Psychology; Mind-Body Therapies; Complementary Therapies; Therapeutics; Behavior Therapy; Psychotherapy; Behavioral Disciplines and Activities; Feedback, Psychological

Results Point of Contact

• Title: Aaron Kucyi
• Organization: Drexel University

aaron.kucyi@drexel.edu

2155537124

Publication Agreements

• PI is Sponsor Employee: No
• Restrictive Agreement: No

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: BASIC SCIENCE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: October 18, 2022
• First Posted: October 24, 2022
• Study Start: October 6, 2023
• Primary Completion: February 24, 2025
• Study Completion: February 24, 2025
• Last Updated: March 12, 2026
• Results First Posted: March 12, 2026

Record last verified: 2026-02

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL, ANALYTIC CODE
• Time Frame: Availability: April 2024 until 2030
• Access Criteria: Publicly available

Locations

US (1)