1
|
Belo J, Clerc M, Schön D. The effect of familiarity on neural tracking of music stimuli is modulated by mind wandering. AIMS Neurosci 2023; 10:319-331. [PMID: 38188009 PMCID: PMC10767062 DOI: 10.3934/neuroscience.2023025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/29/2023] [Accepted: 11/06/2023] [Indexed: 01/09/2024] Open
Abstract
One way to investigate the cortical tracking of continuous auditory stimuli is to use the stimulus reconstruction approach. However, the cognitive and behavioral factors impacting this cortical representation remain largely overlooked. Two possible candidates are familiarity with the stimulus and the ability to resist internal distractions. To explore the possible impacts of these two factors on the cortical representation of natural music stimuli, forty-one participants listened to monodic natural music stimuli while we recorded their neural activity. Using the stimulus reconstruction approach and linear mixed models, we found that familiarity positively impacted the reconstruction accuracy of music stimuli and that this effect of familiarity was modulated by mind wandering.
Collapse
Affiliation(s)
- Joan Belo
- Athena Project Team, INRIA, Université Côte d'Azur, Nice, France
- Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France
| | - Maureen Clerc
- Athena Project Team, INRIA, Université Côte d'Azur, Nice, France
| | - Daniele Schön
- Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France
- Institute for Language, Communication, and the Brain, Aix-en-Provence, France
| |
Collapse
|
2
|
Hausfeld L, Disbergen NR, Valente G, Zatorre RJ, Formisano E. Modulating Cortical Instrument Representations During Auditory Stream Segregation and Integration With Polyphonic Music. Front Neurosci 2021; 15:635937. [PMID: 34630007 PMCID: PMC8498193 DOI: 10.3389/fnins.2021.635937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 08/24/2021] [Indexed: 11/13/2022] Open
Abstract
Numerous neuroimaging studies demonstrated that the auditory cortex tracks ongoing speech and that, in multi-speaker environments, tracking of the attended speaker is enhanced compared to the other irrelevant speakers. In contrast to speech, multi-instrument music can be appreciated by attending not only on its individual entities (i.e., segregation) but also on multiple instruments simultaneously (i.e., integration). We investigated the neural correlates of these two modes of music listening using electroencephalography (EEG) and sound envelope tracking. To this end, we presented uniquely composed music pieces played by two instruments, a bassoon and a cello, in combination with a previously validated music auditory scene analysis behavioral paradigm (Disbergen et al., 2018). Similar to results obtained through selective listening tasks for speech, relevant instruments could be reconstructed better than irrelevant ones during the segregation task. A delay-specific analysis showed higher reconstruction for the relevant instrument during a middle-latency window for both the bassoon and cello and during a late window for the bassoon. During the integration task, we did not observe significant attentional modulation when reconstructing the overall music envelope. Subsequent analyses indicated that this null result might be due to the heterogeneous strategies listeners employ during the integration task. Overall, our results suggest that subsequent to a common processing stage, top-down modulations consistently enhance the relevant instrument's representation during an instrument segregation task, whereas such an enhancement is not observed during an instrument integration task. These findings extend previous results from speech tracking to the tracking of multi-instrument music and, furthermore, inform current theories on polyphonic music perception.
Collapse
Affiliation(s)
- Lars Hausfeld
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands
- Maastricht Brain Imaging Centre (MBIC), Maastricht University, Maastricht, Netherlands
| | - Niels R Disbergen
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands
- Maastricht Brain Imaging Centre (MBIC), Maastricht University, Maastricht, Netherlands
| | - Giancarlo Valente
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands
- Maastricht Brain Imaging Centre (MBIC), Maastricht University, Maastricht, Netherlands
| | - Robert J Zatorre
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- International Laboratory for Brain, Music and Sound Research (BRAMS), Montreal, QC, Canada
| | - Elia Formisano
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands
- Maastricht Brain Imaging Centre (MBIC), Maastricht University, Maastricht, Netherlands
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, Netherlands
- Brightlands Institute for Smart Society (BISS), Maastricht University, Maastricht, Netherlands
| |
Collapse
|