NCT06784934

Brief Summary

The study examines the efficacy of a mindfulness-based neurofeedback protocol designed to improve academic performance and reduce performance anxiety in racial and ethnic minority college students. Using NeuroSky and BrainTrain technology, the intervention incorporates mindfulness principles to enhance participants' self-regulation skills. Continuous heart rate variability (HRV) data is collected to assess stress levels, sleep, and exercise. The research aims to explore the acceptability and feasibility of this approach, with the goal of addressing academic performance and anxiety in this population.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
39

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Jan 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

January 13, 2025

Completed
7 days until next milestone

First Posted

Study publicly available on registry

January 20, 2025

Completed
8 days until next milestone

Study Start

First participant enrolled

January 28, 2025

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 25, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 25, 2025

Completed
Last Updated

August 15, 2025

Status Verified

February 1, 2025

Enrollment Period

2 months

First QC Date

January 13, 2025

Last Update Submit

August 12, 2025

Conditions

Keywords

neurofeedbackunderrepresented populationcollege studentsacademic performanceanxietymindfulness meditationwearable devicesbiofeedbackHeart Rate VariabilityAlpha Neurofeedback

Outcome Measures

Primary Outcomes (5)

  • Academic Performance

    Trier Social Stress Test will be utilized to induce performance anxiety through a mock job interview and mental arithmetic task conducted in front of a non-responsive committee. This test uses a standardized protocol that not only facilitates a more robust evaluation of our intervention but also elevates the ecological validity of the study by assessing its effects in a real-life scenario. The social stress test not only facilitates a more robust evaluation of our intervention but also elevates the ecological validity of the study by assessing its effects in a real-life scenario.

    From enrollment to the end of treatment at 4 weeks

  • Academic Anxiety with Academic Anxiety Scale

    The Academic Anxiety Scale (AAS) will be used to examine performance anxiety (Aim 1). This 11-item questionnaire uses a 4-point Likert Scale (1 = not at all typical of me to 4 = very typical of me) and measures broader aspects of academic-based anxiety beyond cognitive factors. The AAS includes items designed to assess apprehension and anxiety in academic settings, with high reliability (split-half Guttman reliability of 0.91 and Cronbach's Alpha of 0.94).

    From enrollment to the end of treatment at 4 weeks

  • Acceptability

    Semi-structured interviews will be conducted during the weekly check-ins to further our understanding of the intervention's acceptability utilizing qualitative techniques such as thematic analysis.

    From enrollment to the end of treatment at 4 weeks

  • Academic Anxiety with Beck Anxiety Inventory

    The Beck Anxiety Inventory (BAI) will measure generalized anxiety using a 21-item Likert scale (0 to 3) to assess how distressing anxiety symptoms have been over the past week. Scores range from 0 to 63, with levels categorized as minimal (0-7), mild (8-15), moderate (16-25), and severe (30-63). The BAI has been widely used among racially diverse groups. The investigators hypothesize that BAI scores will vary significantly from pre- to post-intervention.

    From enrollment to the end of treatment at 4 weeks

  • Feasibility

    Semi-structured interviews will be conducted during the weekly check-ins to further our understanding of the intervention's feasibility utilizing qualitative techniques such as thematic analysis.

    From enrollment to the end of treatment at 4 weeks

Secondary Outcomes (4)

  • Attention with Integrated Visual and Auditory Continuous Performance Test

    From enrollment to the end of treatment at 4 weeks

  • Increased Alpha Activity

    From enrollment to the end of treatment at 4 weeks

  • Attention with Mental Stress Assessment

    From enrollment to the end of treatment at 4 weeks

  • Heart Rate Variability

    From enrollment to the end of treatment at 4 weeks

Study Arms (2)

Mindfulness Neurofeedback

EXPERIMENTAL

For the experimental group, participants will engage in a mindfulness-based neurofeedback training protocol designed to enhance academic performance and reduce performance anxiety. The intervention involves the use of NeuroSky and BrainTrain technology to provide real-time feedback on brain activity, helping participants develop better self-regulation skills. The training incorporates guided mindfulness exercises focused on promoting relaxation and sustained attention. After the training with the researcher, the experimental group participants will go home and practice independently (10 -15 minutes of mindfulness-based neurofeedback training once daily) with weekly 10-minute virtual check-ins for 4 weeks. Participants will also be asked to record 5 minutes of heart rate variability (HRV) data using the OptimalHRV device twice a day to measure their HRV. At the end of the study, participants will return to the lab for one final mindfulness-meditation session.

Device: NeuroSky Mindfulness-Based Neurofeedback

Business as Usual

NO INTERVENTION

The control group participants will not engage in mindfulness-based neurofeedback training. Participants in the control group will continue their daily routines without meditation for 4 weeks. Heart rate variability (HRV) will be monitored using the OptimalHRV device to monitor HRV, but no intervention will be provided. Weekly 10-minute virtual check-ins with the research team will ensure compliance, address questions, and maintain engagement. Data collected from the OptimalHRV device will provide a baseline for comparison, helping to evaluate the effectiveness of the neurofeedback intervention in the experimental group.

Interventions

NeuroSky will monitor participants' brain response to the intervention and provide feedback based on the participants' performance. Neurofeedback Intervention: When practicing the mindfulness-based intervention, NeuroSky will provide instructions before beginning the sessions. Dr. Saul will assist with set up and answer any questions. The apps audio and visual feedback will assist the participants as they practice mindfulness meditation. Participants in the experimental group will practice for 10 minutes in the lab during Sessions 1 and 5 and then at home for 10-20 minutes daily for 4 weeks with weekly 10-minute virtual check-ins with Dr. Saul to ensure acceptability and feasibility. Dr. Saul will also monitor participants' progress using the secure participant portal and de-identified usernames available through NeuroSky.

Mindfulness Neurofeedback

Eligibility Criteria

Age18 Years - 30 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Aged between 18 and 30 years old
  • Currently enrolled in a 4-year university
  • Individuals from an ethnic or racial minority background (i.e., "The minority racial and ethnic groups defined by Office of Management and Budget's (OMB) are American Indian or Alaska Native, Asian, Black or African American, and Native Hawaiian or Pacific Islander. The ethnicity used is Latino or Hispanic.")

You may not qualify if:

  • Severe depression (cut off score of 15 or higher on Patient Health Questionnaire 9 (PHQ-9))
  • Previously receiving biofeedback training.
  • Severe medical condition (e.g., pacemaker, cardiac arrhythmia, hypertension, diabetes).
  • Showing symptoms of psychosis
  • Having a neurological condition (e.g., Parkinson's disease) that would complicate the interpretation of physiological data.
  • Taking medications such as SSRIs, alpha/beta-blockers, or withdrawal or maintenance medications (e.g., Librium, methadone)
  • Using substances such as tobacco and illicit drugs, and 8)alcohol consumption as defined by National Institute of Health (NIH) as "more than 2 drinks (1 drink for women) in a day or drinking more than 5 drinks (4 for women) on the same occasion (i.e., at the same time or within a couple of hours of each other) on at least 1 day in the past month" are excluded due to their potential to affect the data.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Florida International University

Miami, Florida, 33199, United States

Location

Related Publications (15)

  • Rogers JM, Johnstone SJ, Aminov A, Donnelly J, Wilson PH. Test-retest reliability of a single-channel, wireless EEG system. Int J Psychophysiol. 2016 Aug;106:87-96. doi: 10.1016/j.ijpsycho.2016.06.006. Epub 2016 Jun 16.

    PMID: 27318008BACKGROUND
  • Stinson B, Arthur D. A novel EEG for alpha brain state training, neurobiofeedback and behavior change. Complement Ther Clin Pract. 2013 Aug;19(3):114-8. doi: 10.1016/j.ctcp.2013.03.003. Epub 2013 Apr 19.

    PMID: 23890456BACKGROUND
  • Hunkin H, King DL, Zajac IT. Evaluating the feasibility of a consumer-grade wearable EEG headband to aid assessment of state and trait mindfulness. J Clin Psychol. 2021 Nov;77(11):2559-2575. doi: 10.1002/jclp.23189. Epub 2021 Jun 1.

    PMID: 34061998BACKGROUND
  • Hunt CA, Hoffman MA, Mohr JJ, Williams AL. Assessing Perceived Barriers to Meditation: the Determinants of Meditation Practice Inventory-Revised (DMPI-R). Mindfulness (N Y). 2020 May;11(5):1139-1149. doi: 10.1007/s12671-020-01308-7. Epub 2020 Feb 10.

    PMID: 33664878BACKGROUND
  • Russell L, Orellana L, Ugalde A, Milne D, Krishnasamy M, Chambers R, Livingston PM. Exploring Knowledge, Attitudes, and Practice Associated With Meditation Among Patients With Melanoma. Integr Cancer Ther. 2018 Jun;17(2):237-247. doi: 10.1177/1534735417699514. Epub 2017 Mar 24.

    PMID: 28627247BACKGROUND
  • Allen AP, Kennedy PJ, Dockray S, Cryan JF, Dinan TG, Clarke G. The Trier Social Stress Test: Principles and practice. Neurobiol Stress. 2016 Nov 12;6:113-126. doi: 10.1016/j.ynstr.2016.11.001. eCollection 2017 Feb.

    PMID: 28229114BACKGROUND
  • Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988 Dec;56(6):893-7. doi: 10.1037//0022-006x.56.6.893. No abstract available.

    PMID: 3204199BACKGROUND
  • Cassady JC, Pierson EE, Starling JM, editors. Predicting student depression with measures of general and academic anxieties. Frontiers in Education; 2019: Frontiers Media SA.

    BACKGROUND
  • Bigliassi M, Galano BM, Lima-Silva AE, Bertuzzi R. Effects of mindfulness on psychological and psychophysiological responses during self-paced walking. Psychophysiology. 2020 Apr;57(4):e13529. doi: 10.1111/psyp.13529. Epub 2020 Jan 17.

    PMID: 31953844BACKGROUND
  • Saul AD, Fish MT. Anxiety and college students: The benefits of mindfulness-based meditation. Recreation, Parks, and Tourism in Public Health. 2019;3(1):139-54.

    BACKGROUND
  • Saul AD. The Efficacy of an Evidence-Based Biofeedback Intervention to Reduce Anxiety in College Students: East Carolina University; 2021.

    BACKGROUND
  • Fish MT, Saul AD. The gamification of meditation: a randomized-controlled study of a prescribed mobile mindfulness meditation application in reducing college students' depression. Simulation & Gaming. 2019;50(4):419-35.

    BACKGROUND
  • Russ SL, Maruyama G, Sease TB, Jellema S. Do early experiences matter? Development of an Early Meditation Hindrances Scale linked to novice meditators' intention to persist. Psychology of Consciousness: Theory, Research, and Practice. 2017;4(3):274.

    BACKGROUND
  • Kiken LG, Garland EL, Bluth K, Palsson OS, Gaylord SA. From a state to a trait: Trajectories of state mindfulness in meditation during intervention predict changes in trait mindfulness. Pers Individ Dif. 2015 Jul 1;81:41-46. doi: 10.1016/j.paid.2014.12.044.

    PMID: 25914434BACKGROUND
  • Garland EL, Hanley A, Farb NA, Froeliger BE. State Mindfulness During Meditation Predicts Enhanced Cognitive Reappraisal. Mindfulness (N Y). 2015 Apr 1;6(2):234-242. doi: 10.1007/s12671-013-0250-6.

    PMID: 26085851BACKGROUND

Related Links

MeSH Terms

Conditions

Anxiety Disorders

Condition Hierarchy (Ancestors)

Mental Disorders

Study Officials

  • Amelia D Saul, PhD

    Florida International University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Teaching Professor

Study Record Dates

First Submitted

January 13, 2025

First Posted

January 20, 2025

Study Start

January 28, 2025

Primary Completion

March 25, 2025

Study Completion

March 25, 2025

Last Updated

August 15, 2025

Record last verified: 2025-02

Locations