Liu Martha, Arseneau-Bruneau Isabelle, Farrés Franch Marcel, Latorre Marie-Elise, Samuels Joshua, Issa Emily, Payumo Alexandre, Rahman Nayemur, Loureiro Naíma, Leung Tsz Chun Matthew, Nave Karli M, von Handorf Kristi M, Hoddinott Joshua D, Coffey Emily B J, Grahn Jessica, Zatorre Robert J
Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Centre for Research in Brain, Language and Music, Montreal, QC, Canada.
Front Psychol. 2025 Mar 28;16:1538511. doi: 10.3389/fpsyg.2025.1538511. eCollection 2025.
This study investigates the interactions between musicianship and two auditory cognitive processes: auditory working memory (AWM) and stream segregation. The primary hypothesis is that AWM could mediate a relationship between musical training and enhanced stream segregation capabilities. Two groups of listeners were tested: the first aimed to establish the relationship between the three variables, and the second aimed to replicate the effect in an independent sample. Music experience history and behavioral data were collected from a total of 145 healthy young adults with normal binaural hearing. The AWM task involved the manipulation of tonal patterns in working memory, while the Music-in-Noise Task (MINT) measured stream segregation abilities in a tonal context. The MINT expands measurements beyond traditional Speech-in-Noise assessments by capturing auditory subskills (rhythm, visual, spatial attention, prediction) relevant to stream segregation. Our results showed that musical training is associated with enhanced AWM and MINT performance and that this effect is replicable across independent samples. Moreover, we found in both samples that the enhancement of stream segregation was largely mediated by AWM capacity. The results suggest that musical training and/or aptitude enhances stream segregation by way of improved AWM capacity.
听觉工作记忆(AWM)和流分离。主要假设是,AWM可能介导音乐训练与增强的流分离能力之间的关系。对两组听众进行了测试:第一组旨在建立这三个变量之间的关系,第二组旨在在独立样本中复制该效应。从总共145名双耳听力正常的健康年轻成年人中收集了音乐体验历史和行为数据。AWM任务涉及在工作记忆中对音调模式进行操作,而噪声中的音乐任务(MINT)则在音调背景下测量流分离能力。MINT通过捕捉与流分离相关的听觉子技能(节奏、视觉、空间注意力、预测),将测量范围扩展到传统的噪声中的语音评估之外。我们的结果表明,音乐训练与增强的AWM和MINT表现相关,并且这种效应在独立样本中是可复制的。此外,我们在两个样本中都发现,流分离的增强很大程度上是由AWM容量介导的。结果表明,音乐训练和/或天赋通过提高AWM容量来增强流分离。