Evaluation of Music Based Responses and Cognitive Interventions for Adults with Major Depressive Disorder and Suicide Risk
Notice bibliographique
Résumé
Individuals with Major Depressive Disorder (MDD) often experience impairments in attention and executive function, which can lead to difficulties in daily functioning. These cognitive deficits, along with disruptions in hedonic functions, contribute to increased feelings of hopelessness and heightened suicide risk. This dissertation investigates the potential of music-based responses to evaluate music reward and self-perception of hedonic states, as well as the cognitive applications of Neurologic Music Therapy (NMT) for adults with MDD at suicide risk, through three empirical studies.The first two studies used data collected through CAN-BIND 5, an arm of the Canadian Biomarker Integration Network in Depression initiative at St. Michael’s Hospital examining the biomarkers of suicidality. The first study investigated the use of the Barcelona Music Reward Questionnaire (BMRQ) and a semantic differential profile scale to evaluate how individuals experience music and self-perception respectively. Results revealed no significant differences in BMRQ results among individuals with MDD, across different levels of suicidal ideation and history of attempt, and healthy controls. However, there were differences in self-perception, as measured by the semantic differential profile scale. Listening to preferred music led to a marginally positive, yet significant shift in the self-perception among individuals with MDD, both with and without suicidal ideation. This was not as pronounced as the positive attitudes towards self, observed in healthy controls. Findings from the semantic differential profile scale highlight the potential use of this measure in identifying behavioural markers of suicidality in response to music. The second study examined the effectiveness of single-session NMT in enhancing short-term memory, processing speed, cognitive flexibility, and set shifting. Two NMT cognitive domain applications were delivered: Musical Attention Control Training (MACT) and Musical Executive Function Training (MEFT). Despite no significant improvements in short-term memory, processing speed, cognitive flexibility, and set shifting post-intervention for adults with MDD, the study suggests that longer intervention durations may be necessary to fully understand the potential of music-based cognitive training. This led to the development of the third study, evaluating the feasibility, acceptability, and preliminary effectiveness of an 8-week NMT intervention using the same cognitive domain applications as the second study: MACT and MEFT. Results revealed high participant satisfaction and some improvements in short-term memory, cognitive flexibility, and inhibitory control. Additionally, there were significant reductions in suicidal ideation intensity and improvements in quality of life. Collectively, these studies highlight the potential use of music responses as behavioural markers for suicidality and underscore the role of music-based applications, in enhancing cognitive function and emotional well-being in individuals with MDD and suicide risk. The findings establish a basis for future research and suggest broader clinical applications of music-based responses and interventions to support adults with MDD and suicide ideation.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».