Using EEG Operant Conditioning to Improve Trait Self-Control and Promote Healthy Behavior

NCT ID: NCT01801254

Last Updated: 2015-04-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

PHASE1

Total Enrollment

16 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-02-28

Study Completion Date

2015-02-28

Brief Summary

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The field of neuroeconomics has begun to elucidate neural mechanisms underlying self-control; however, researchers have not yet harnessed neuroeconomics findings to develop interventions for improving self-control ability. The investigators are currently developing such an intervention. The investigators' approach involves using a brain-computer interface with audiovisual feedback to show people what is happening in their own brains, in real time. Through this interface, individuals are trained to increase levels of neural activity that may facilitate self-control, which, in turn, may improve the ability to exhibit self-controlled behaviors. This may increase the ability to engage in heath behaviors for which self-control is required (eg, dieting and exercising). The investigators' long-term goal is to create a tool that will help people develop the self-control needed to achieve lasting improvements in health behaviors.

Detailed Description

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Conditions

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Obesity Type II Diabetes Cardiovascular Disease Health Behavior

Keywords

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Obesity Type II diabetes Cardiovascular disease Health behavior promotion Neuroeconomics EEG biofeedback Low-resolution electromagnetic tomography (LORETA) EEG

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

PREVENTION

Blinding Strategy

SINGLE

Participants

Study Groups

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STRIDES

Brain-computer interface training protocol designed to up-regulate specific types of neural activity in regions including the left dorsolateral prefrontal cortex, the anterior cingulate cortex, and Brodmann area 6 bilaterally. Targeted neural activity types are positively associated with self-controlled behavior.

Group Type EXPERIMENTAL

STRIDES

Intervention Type OTHER

Self-Control TRaining for Increasing Delay of gratification through EEG operant conditioning with Source localization (STRIDES). Brain-computer interface training protocol designed to up-regulate specific types of neural activity, in regions including the left dorsolateral prefrontal cortex, the anterior cingulate cortex, and Brodmann area 6 bilaterally. Targeted neural activity types are positively associated with self-controlled behavior.

Sham Control

Brain-computer interface training protocol that is designed to have no effect on self-controlled behavior. Stimuli used and durations of training sessions for this protocol are identical to those used in the treatment condition.

Group Type SHAM_COMPARATOR

Sham Control

Intervention Type OTHER

Brain-computer interface training protocol that is designed to have no effect on self-controlled behavior.

Interventions

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STRIDES

Self-Control TRaining for Increasing Delay of gratification through EEG operant conditioning with Source localization (STRIDES). Brain-computer interface training protocol designed to up-regulate specific types of neural activity, in regions including the left dorsolateral prefrontal cortex, the anterior cingulate cortex, and Brodmann area 6 bilaterally. Targeted neural activity types are positively associated with self-controlled behavior.

Intervention Type OTHER

Sham Control

Brain-computer interface training protocol that is designed to have no effect on self-controlled behavior.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Can read and write fluently in English
* At least 18 years of age
* Right-handed
* Overweight or obese (BMI \> 24.9)
* Currently has a University of Rochester meal plan
* Currently in contemplation or action stages of change with respect to weight loss (measured with the Weight Stages of Change Algorithm; Rossi, Rossi, Velicer, \& Prochaska, 1995).

Exclusion Criteria

* History of diabetes, epilepsy, celiac disease, lactose intolerance, food allergies, veganism, mental illness, or eating disorders
* Currently taking a medication that may have a strong effect on EEG recordings (eg, an antidepressant, stimulant medication, etc.)
* Currently drinks more than 3 cups of coffee per day or roughly equivalent caffeine intake
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Rochester

OTHER

Sponsor Role lead

Responsible Party

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Jordan Silberman

Medical Student

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Jordan Silberman, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Rochester

Locations

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University of Rochester

Rochester, New York, United States

Site Status

Countries

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United States

Other Identifiers

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RSRB00043988

Identifier Type: -

Identifier Source: org_study_id