ClinicalTrials.Veeva

Menu

Predictors for Successful Neurofeedback Training

F

Frank Scharnowski

Status

Unknown

Conditions

Healthy

Treatments

Other: Neurofeedback training

Study type

Interventional

Funder types

Other

Identifiers

NCT03297437
PsychiatricUHZPUK

Details and patient eligibility

About

The primary objective of this study is to identify predictors of neurofeedback training success.

Full description

In the last decades, neurofeedback has been established as a promising scientific tool. Learning voluntary control over their own brain activity allows for establishing causal links between brain activity and mental functions. However, patients participants differ in their ability to learn control over their own brain activity with neurofeedback. It is thus crucial to understand why some participants are more successful in regulating their own brain activity than others. The objective of the present study is thus to identify predictors for successful learning self-regulation with real-time fMRI neurofeedback. To achieve this goal, we will evaluate the introspection ability of healthy participants using standardized psychological questionnaires and tasks. These scores will then be correlated with how well they learned self-regulation skills using established real-time fMRI neurofeedback protocols.

Enrollment

192 estimated patients

Sex

All

Ages

18 to 65 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Age 18 - 65 years. Magnetic resonance imaging compatibility.

Exclusion criteria

Physical or psychiatric disorders (DSM-V diagnosis). Current substance abuse. Exclusion criteria applicable to MRI (metallic implants, claustrophobia, epilepsy).

Trial design

Primary purpose

Basic Science

Allocation

Randomized

Interventional model

Single Group Assignment

Masking

Triple Blind

Trial contacts and locations

1

Loading...

Central trial contact

Frank Scharnowski, Prof. Dr.

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems