Music and ABS as a Potential Anxiety Intervention
Music and Auditory Beat Stimulation and Its Effect on Anxiety
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Adiel Mallik, PhD
- Phone Number: 4989 416-979-5000
- Email: adiel.mallik@ryerson.ca
Study Contact Backup
- Name: Kay Wright-Whyte, MSc
- Phone Number: 554989 4169795000
- Email: kww@torontomu.ca
Study Locations
-
-
Ontario
-
Toronto, Ontario, Canada, M5B 2K3
- Toronto Metropolitan University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- GAD-2 score of 1 or higher indicating generalized anxiety.
- Age between 18-30 years
- Undergraduate student
- Comfortable speaking and understanding English
- Self-reported normal hearing
Exclusion Criteria:
- Self-reported history of cardiovascular conditions (e.g., arrhythmia, heart disease)
- History of seizures or epilepsy
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Music and Theta Auditory Beat Stimulation
Behavioural: Listening to calm music and auditory beat stimulation Participants will listen to calm music with theta auditory beat stimulation for 24-27 minutes
|
Participants will listen to calm music with theta auditory beat stimulation for 24-27 minutes
|
|
Sham Comparator: Pink Noise (control)
Behavioural: Listening to pink noise Participants will listen to pink noise for 24 minutes
|
Participants will listen to pink noise for 24 minutes
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Self-Assessment Manikin
Time Frame: 24-27 minutes
|
Two series of Self-Assessment Manikins (SAM) will be administered to assess state emotional valence and arousal before and after the audio intervention.
Participants will be asked to rate on two scales with accompanying images how they are feeling right now (unhappy to happy) and their energy levels from calm to excited both on a scale from 1-5.
The pre-intervention SAM serves two purposes: the first, to assess baseline affect and the second, to select the playlist that the participant listens to if assigned to the audio intervention.
The post-intervention SAM will serve to assess changes in affect following the intervention.
|
24-27 minutes
|
|
Anxiety: EEG band power (alpha, beta, delta and theta bands)
Time Frame: 24-27 minutes
|
EEG band power is a good objective physiological measure of anxiety and relaxation.
It has good reliability and validity and has been used as an anxiety/relaxation measure in multiple studies (Aftanas, Pavlov, Reva, & Varlamov, 2003; Gálvez, Recuero, Canuet, & Del-Pozo, 2018; Knyazev, Savostyanov, & Levin, 2005; Lee, Bhattacharya, Sohn, & Verres, 2012; Tarrant, Viczko, & Cope, 2018).
|
24-27 minutes
|
|
Anxiety: Heart rate variability (HRV)
Time Frame: 24-27 minutes
|
Heart rate variability is a good objective physiological measure of anxiety.
It has good reliability and validity and has been used as an anxiety measure in multiple studies (Chalmers, Quintana, Abbott, & Kemp, 2014; Gorman & Sloan, 2000; Licht, de Geus, van Dyck, & Penninx, 2009; Pittig, Arch, Lam, & Craske, 2013).
|
24-27 minutes
|
|
Anxiety: Stress hormone levels: Salivary cortisol
Time Frame: 24-27 minutes
|
Salivary cortisol is a good objective measure of stress and anxiety.
It has good reliability and validity and has been used as an anxiety measure in multiple studies (Mantella et al., 2008; Vedhara et al., 2003; Vreeburg et al., 2010).
|
24-27 minutes
|
|
Anxiety: State Trait Inventory for Cognitive and Somatic Anxiety (STICSA)
Time Frame: 24-27 minutes
|
The State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) is a 21-item measure designed to measure somatic (11 items) and cognitive symptoms (10 items) of anxiety at both the trait and state levels.
To differentiate between state and trait anxiety symptoms, participants will complete two versions of the measure, one where they rate how they "feel right now at this very moment" (STICSA-State) and one where they rate "how they feel in general" (STICSA-Trait).
Respondents rate the degree to which each item is true for them on a Likert scale ranging from 1 = not at all to 4 = very much so.
Scores on the STICSA can range from 10 - 40 (cognitive) or 11 - 44 (somatic), with higher scores indicating greater anxiety.
|
24-27 minutes
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Absorption in Music Scale (AIMS)
Time Frame: 24-27 minutes
|
The Absorption in Music Scale (AIMS) is a 34-item measure of individuals' ability and willingness to allow music to draw them into an emotional experience.
The Absorption in Music Scale (AIMS) was administered post-intervention, after completing all other post-intervention measures to avoid biasing responses.
The AIMS will serve as a sub-group analysis to assess if individuals who report higher absorption respond better to the audio intervention in the treatment condition.
The AIMS demonstrates strong convergent validity with the Tellegen Absorption Scale (r = .76)
and the Musical Involvement Scale (r = .74).
|
24-27 minutes
|
|
Mood: Positive and Negative Affect Scale (PANAS)
Time Frame: 24-27 minutes
|
The PANAS has good reliability and validity and has been widely used in many studies to assess mood (Gray, 2007; Watson, Clark, & Tellegen, 1988).
This scale generates two scores: 1) Positive affect (higher score indicates a better outcome), scores range from 10-50.
2) Negative affect (higher score indicates worse outcome), scores range from 10-50.
|
24-27 minutes
|
|
Anxiety Coping Measures
Time Frame: 24-27 minutes
|
This is a self-made questionnaire which asks whether the participant takes any anxiety medications, and about other coping strategies they may already employ.
|
24-27 minutes
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Frank Russo, PhD, Toronto Metropolitan University (formerly Ryerson University)
Publications and helpful links
General Publications
- Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988 Jun;54(6):1063-70. doi: 10.1037//0022-3514.54.6.1063.
- Tarrant J, Viczko J, Cope H. Virtual Reality for Anxiety Reduction Demonstrated by Quantitative EEG: A Pilot Study. Front Psychol. 2018 Jul 24;9:1280. doi: 10.3389/fpsyg.2018.01280. eCollection 2018.
- Jongkees BJ, Colzato LS. Spontaneous eye blink rate as predictor of dopamine-related cognitive function-A review. Neurosci Biobehav Rev. 2016 Dec;71:58-82. doi: 10.1016/j.neubiorev.2016.08.020. Epub 2016 Aug 21.
- Galvez G, Recuero M, Canuet L, Del-Pozo F. Short-Term Effects of Binaural Beats on EEG Power, Functional Connectivity, Cognition, Gait and Anxiety in Parkinson's Disease. Int J Neural Syst. 2018 Jun;28(5):1750055. doi: 10.1142/S0129065717500551. Epub 2017 Nov 13.
- Bringman H, Giesecke K, Thorne A, Bringman S. Relaxing music as pre-medication before surgery: a randomised controlled trial. Acta Anaesthesiol Scand. 2009 Jul;53(6):759-64. doi: 10.1111/j.1399-6576.2009.01969.x. Epub 2009 Apr 14.
- Padmanabhan R, Hildreth AJ, Laws D. A prospective, randomised, controlled study examining binaural beat audio and pre-operative anxiety in patients undergoing general anaesthesia for day case surgery. Anaesthesia. 2005 Sep;60(9):874-7. doi: 10.1111/j.1365-2044.2005.04287.x.
- Vreeburg SA, Zitman FG, van Pelt J, Derijk RH, Verhagen JC, van Dyck R, Hoogendijk WJ, Smit JH, Penninx BW. Salivary cortisol levels in persons with and without different anxiety disorders. Psychosom Med. 2010 May;72(4):340-7. doi: 10.1097/PSY.0b013e3181d2f0c8. Epub 2010 Feb 26.
- Chalmers JA, Quintana DS, Abbott MJ, Kemp AH. Anxiety Disorders are Associated with Reduced Heart Rate Variability: A Meta-Analysis. Front Psychiatry. 2014 Jul 11;5:80. doi: 10.3389/fpsyt.2014.00080. eCollection 2014.
- Bados A, Gomez-Benito J, Balaguer G. The state-trait anxiety inventory, trait version: does it really measure anxiety? J Pers Assess. 2010 Nov;92(6):560-7. doi: 10.1080/00223891.2010.513295.
- Gros DF, Antony MM, Simms LJ, McCabe RE. Psychometric properties of the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA): comparison to the State-Trait Anxiety Inventory (STAI). Psychol Assess. 2007 Dec;19(4):369-81. doi: 10.1037/1040-3590.19.4.369.
- Isik BK, Esen A, Buyukerkmen B, Kilinc A, Menziletoglu D. Effectiveness of binaural beats in reducing preoperative dental anxiety. Br J Oral Maxillofac Surg. 2017 Jul;55(6):571-574. doi: 10.1016/j.bjoms.2017.02.014. Epub 2017 Mar 18.
- McConnell PA, Froeliger B, Garland EL, Ives JC, Sforzo GA. Auditory driving of the autonomic nervous system: Listening to theta-frequency binaural beats post-exercise increases parasympathetic activation and sympathetic withdrawal. Front Psychol. 2014 Nov 14;5:1248. doi: 10.3389/fpsyg.2014.01248. eCollection 2014.
- Wahbeh H, Calabrese C, Zwickey H. Binaural beat technology in humans: a pilot study to assess psychologic and physiologic effects. J Altern Complement Med. 2007 Jan-Feb;13(1):25-32. doi: 10.1089/acm.2006.6196.
- Gorman JM, Sloan RP. Heart rate variability in depressive and anxiety disorders. Am Heart J. 2000 Oct;140(4 Suppl):77-83. doi: 10.1067/mhj.2000.109981.
- Pittig A, Arch JJ, Lam CW, Craske MG. Heart rate and heart rate variability in panic, social anxiety, obsessive-compulsive, and generalized anxiety disorders at baseline and in response to relaxation and hyperventilation. Int J Psychophysiol. 2013 Jan;87(1):19-27. doi: 10.1016/j.ijpsycho.2012.10.012. Epub 2012 Oct 27.
- Aftanas LI, Pavlov SV, Reva NV, Varlamov AA. Trait anxiety impact on the EEG theta band power changes during appraisal of threatening and pleasant visual stimuli. Int J Psychophysiol. 2003 Nov;50(3):205-12. doi: 10.1016/s0167-8760(03)00156-9.
- Davis, W. B., & Thaut, M. H. (1989). The Influence of Preferred Relaxing Music on Measures of State Anxiety, Relaxation, and Physiological Responses. Journal of Music Therapy, 26(4), 168-187. doi:10.1093/jmt/26.4.168
- Gray, E. K., Watson, D. (2007). Assessing positive and negative affect via self-report. In J. A. Coan, Allen, J.J.B. (Ed.), Handbook of emotion elicitation and assessment. New York, NY: Oxford University Press.
- Knyazev GG, Savostyanov AN, Levin EA. Uncertainty, anxiety, and brain oscillations. Neurosci Lett. 2005 Oct 28;387(3):121-5. doi: 10.1016/j.neulet.2005.06.016.
- Lagopoulos J, Xu J, Rasmussen I, Vik A, Malhi GS, Eliassen CF, Arntsen IE, Saether JG, Hollup S, Holen A, Davanger S, Ellingsen O. Increased theta and alpha EEG activity during nondirective meditation. J Altern Complement Med. 2009 Nov;15(11):1187-92. doi: 10.1089/acm.2009.0113.
- Lee EJ, Bhattacharya J, Sohn C, Verres R. Monochord sounds and progressive muscle relaxation reduce anxiety and improve relaxation during chemotherapy: a pilot EEG study. Complement Ther Med. 2012 Dec;20(6):409-16. doi: 10.1016/j.ctim.2012.07.002. Epub 2012 Aug 23.
- Licht CM, de Geus EJ, van Dyck R, Penninx BW. Association between anxiety disorders and heart rate variability in The Netherlands Study of Depression and Anxiety (NESDA). Psychosom Med. 2009 Jun;71(5):508-18. doi: 10.1097/PSY.0b013e3181a292a6. Epub 2009 May 4.
- Luque-Casado A, Perakakis P, Ciria LF, Sanabria D. Transient autonomic responses during sustained attention in high and low fit young adults. Sci Rep. 2016 Jun 8;6:27556. doi: 10.1038/srep27556.
- Mantella RC, Butters MA, Amico JA, Mazumdar S, Rollman BL, Begley AE, Reynolds CF, Lenze EJ. Salivary cortisol is associated with diagnosis and severity of late-life generalized anxiety disorder. Psychoneuroendocrinology. 2008 Jul;33(6):773-81. doi: 10.1016/j.psyneuen.2008.03.002. Epub 2008 Apr 14.
- Reedijk SA, Bolders A, Hommel B. The impact of binaural beats on creativity. Front Hum Neurosci. 2013 Nov 14;7:786. doi: 10.3389/fnhum.2013.00786. eCollection 2013.
- Reedijk SA, Bolders A, Colzato LS, Hommel B. Eliminating the Attentional Blink through Binaural Beats: A Case for Tailored Cognitive Enhancement. Front Psychiatry. 2015 Jun 4;6:82. doi: 10.3389/fpsyt.2015.00082. eCollection 2015.
- Roberts KE, Hart TA, Eastwood JD. Factor structure and validity of the State-Trait Inventory for Cognitive and Somatic Anxiety. Psychol Assess. 2016 Feb;28(2):134-146. doi: 10.1037/pas0000155. Epub 2015 May 25.
- Vedhara K, Miles J, Bennett P, Plummer S, Tallon D, Brooks E, Gale L, Munnoch K, Schreiber-Kounine C, Fowler C, Lightman S, Sammon A, Rayter Z, Farndon J. An investigation into the relationship between salivary cortisol, stress, anxiety and depression. Biol Psychol. 2003 Feb;62(2):89-96. doi: 10.1016/s0301-0511(02)00128-x.
- Ueberholz R, Glassman H, Mallik A, Russo FA. Effectiveness of music with auditory beat stimulation in reducing state anxiety in Canadian students with trait anxiety: protocol for a randomised controlled trial. BMJ Open. 2025 Jun 17;15(6):e094784. doi: 10.1136/bmjopen-2024-094784.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2020-068 LUCiD Anxiety
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.