Guided Imagery and Music (GIM) is a range of therapeutic practices in which clients listen to music selected by a trained practitioner with the aim of gaining cognitive insight through evoked imagery that may be beneficial in working through various inner experiences, pain, or trauma. It is crucial to this process that the chosen music is tailored to the client's therapeutic goals and receptiveness. Wärja and Bonde [(2014). Music as co-therapist: Towards a taxonomy of music in therapeutic Music and Imagery work. Music and Medicine, 6(2), 16-27.] developed a taxonomy consisting of nine categories of musical-psychological characteristics and constructs (e.g., tempo, instrumentation, and mood) aligning with various therapeutic contexts (e.g., supporting and exploring) for helping GIM practitioners select appropriate music; however, its reliability has never before been assessed. In this paper, we present a listening study carried out with 63 GIM therapists and trainees, in order to measure the inter-rater agreement in (1) classifying 10 randomly selected pieces from 30 into one or more categories of the Wärja and Bonde [(2014). Music as co-therapist: Towards a taxonomy of music in therapeutic Music and Imagery work. Music and Medicine, 6(2), 16-27.] taxonomy, and (2) identifying for each piece heard one or more adjectives from the Hevner mood wheel that best characterize it. Our results indicate participants who utilized all categories but with slight to fair overall agreement; however, largely moderate agreement was reported for less musically complex pieces as well as across all pieces when considering only the three primary categories. Our findings not only support the continued use of the taxonomy and mood for helping select GIM music but also suggest the possible need for clearer descriptions in its subcategories and further training of practitioners who employ it in practice.
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http://dx.doi.org/10.1093/jmt/thad014 | DOI Listing |
BMC Res Notes
January 2025
Manipal Academy of Higher Education, Manipal, Karnataka, India.
Background: Most children experience distress while visiting a dentist, above which the sound of the airotor and suction machine results in fear and difficulty in performing further procedures.
Methods: This was a randomized controlled parallel-group study of 40 children aged 6-13 years who required cavity preparation via the airotor. The children were randomly allocated to either Group 1 (Piano music app; active distraction combined with audio analgesia) or Group 2 (basic behavioural guidance alone).
Perioper Med (Lond)
January 2025
Department of Neurosurgery, the Second People's Hospital of Yibin, Yibin, 644000, Sichuan Province, China.
Music therapy, known for its profound impact on human emotions and physiology, has gained increasing attention for its applications in medical settings, particularly in surgery. This study conducted a bibliometric analysis of publications on the application of music therapy in surgery from 2009 to 2023, utilizing the Web of Science Core Collection (WoSCC) as the primary database. A total of 479 publications were analyzed using VOSviewer, CiteSpace, Microsoft Excel, and online bibliometric tools.
View Article and Find Full Text PDFFront Psychiatry
January 2025
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Objective: This study aimed to summarize and assess the certainty of evidence of non-pharmacological interventions (NPIs) on the depressive outcomes in people with mild cognitive impairment (MCI) based on published systematic reviews (SRs).
Method: Databases including PubMed, EMBASE, PsycINFO, the Cochrane Database of Systematic Reviews, CNKI, CBM, Wanfang and VIP database were searched from their inception to June 6, 2023. The methodological quality of the SRs was evaluated using the AMSTAR2 tool, and the quality of evidence was assessed using the Grading of Recommendation Assessment, Development and Evaluation (GRADE) framework.
Front Artif Intell
January 2025
Faculty of Natural and Applied Sciences, Department of Computer Science and Information Technology, Sol Plaatje University, Kimberley, South Africa.
The rapid adoption and evolving nature of artificial intelligence (AI) is playing a significant role in shaping the music streaming industry. AI has become a key player in transforming the digital music streaming industry, particularly in enhancing user experiences and driving subscription growth. Through AI automation, platforms personalize music recommendations, optimize subscription offerings, and improve customer support services.
View Article and Find Full Text PDFJAC Antimicrob Resist
February 2025
Research Department, Zihi Institute, Nairobi, Kenya.
Background: The ability of microorganisms to resist antimicrobial medicines is called antimicrobial resistance (AMR). AMR awareness among the general public may be increased via a variety of approaches including the use of social media campaigns, traditional media, influencer outreach storytelling, community theatre, interactive games and quizzes and art and music. This analysis aims to evaluate YouTube videos to educate the general public about AMR.
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