How personality modulates brain responses to emotion in music : a regions-of-variance approach
Authors
Date
2018Discipline
Music, Mind and Technology (maisteriohjelma)Master's Degree Programme in Music, Mind and TechnologyCopyright
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Background: Personality is related to emotional tendencies, and emotion is an important part of musical experiences. In particular, the personality traits Extraversion and Neuroticism have been respectively related to positive and negative emotionality (Larsen & Ketelaar, 1991) and to neural responses to positive and negative emotional stimuli (e.g., Canli et al., 2001). Openness to Experience is not characterized by affective tendencies, but it has been related aesthetic sensitivity (Costa Jr & McCrae, 1992) and to the intensity of music-induced emotions (Vuoskoski & Eerola, 2011a). Research on the role of Extraversion and Neuroticism in neural responses to emotion in music has given some null (Koelsch, Skouras, & Jentschke, 2013) and unexpected findings (Park et al., 2013); this research may be extended with different methodological choices, particularly with a larger sample size and with a method of selecting Regions of Interest (ROIs) that is intended for investigating individual differences in brain function (Omura et al., 2005).
Aims: (1) To investigate the role of Extraversion, Neuroticism, and Openness to Experience in brain activations during implicit perception of emotions in music, and (2) to implement a data-driven method of selecting regions of interest as regions of variance (ROV; Omura et al., 2005).
Hypotheses: It was predicted that Extraversion and Neuroticism would be related to brain activity during perception of positively- and negatively-valenced musical stimuli, respectively. The investigation of Openness was exploratory as this trait is not characteristically related to affect. No specific hypotheses were tested with regards to brain areas, as the method for selecting regions of interest was data-driven.
Methods: Fifty-five participants were scanned using functional Magnetic Resonance Imaging while they listened to thirty, 4-second music excerpts portraying happiness, sadness, or fear, and they were asked to indicate the number of instruments following each excerpt. The Big Five Questionnaire (John & Srivastava, 1999) was used to measure personality traits. Regions of interest were selected as clusters of voxels with higher between-subjects variance in activation, relative to the mean within-subjects residual variance in activation, and a whole-brain voxelwise analysis additionally run for comparison.
Results: In the ROV analysis, Neuroticism was positively related to activation during Sad music in the left supramarginal and angular gyri (p<.001, corrected), and Openness was positively related to activation during Happy music in the region of the left superior temporal gyrus, extending into the temporal pole, middle temporal gyrus, Heschl’s gyrus, postcentral gyrus, supramarginal gyrus, and rolandic operculum (p<.05, corrected). In the whole-brain analysis, similar results were found for Neuroticism but not for Openness.
Discussion: These results support previous findings of trait-congruent links between personality and neural responses to emotional stimuli. Additionally, they indicate the usefulness of the ROV method for investigating individual differences; the ROV analysis was consistent with the robust whole-brain results and was additionally sensitive to clusters that did not survive whole-brain correction for multiple comparisons.
...
![showless](/themes/JYX2//images/showless.png)
![showmore](/themes/JYX2//images/showmore.png)
Keywords
individual differences regions of variance persoonallisuus tunteet musiikki toiminnallinen magneettikuvaus aivot aivotutkimus aivokuori ärsykkeet persoonallisuuden piirteet neurotieteet psykofysiologia personality emotions music functional magnetic resonance imaging brain brain research cerebral cortex stimuli (role related to effect) personality traits neurosciences psychophysiology
Metadata
Show full item recordCollections
- Pro gradu -tutkielmat [29041]
Related items
Showing items with similar title or keywords.
-
The relationship between structural properties of frontal cortical regions and response inhibition in 6–14-year-old children
Kujala, Jan; Matveinen, Sannamari; van Bijnen, Sam; Parviainen, Tiina (Elsevier, 2024)Development of attentional skills and inhibitory control rely on maturational changes in the brain across childhood and youth. However, both brain anatomy and different components of attention and inhibition show notable ... -
Identification of Proprioceptive Thalamocortical Tracts in Children : Comparison of fMRI, MEG, and Manual Seeding of Probabilistic Tractography
Jaatela, Julia; Aydogan, Dogu Baran; Nurmi, Timo; Vallinoja, Jaakko; Piitulainen, Harri (Oxford University Press (OUP), 2022)Studying white matter connections with tractography is a promising approach to understand the development of different brain processes, such as proprioception. An emerging method is to use functional brain imaging to select ... -
Predicting Individual Differences from Brain Responses to Music using Functional Network Centrality
Jain, Arihant; Brattico, Elvira; Toiviainen, Petri; Alluri, Vinoo (Conference Management Services, Inc., 2022)Individual differences are known to modulate brain responses to music. Recent neuroscience research suggests that each individual has unique and fundamentally stable functional brain connections irrespective of the task ... -
Acoustic, neural, and perceptual correlates of polyphonic timbre
Alluri, Vinoo (University of Jyväskylä, 2012) -
Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data
Hu, Guoqiang; Li, Huanjie; Zhao, Wei; Hao, Yuxing; Bai, Zonglei; Nickerson, Lisa D.; Cong, Fengyu (Elsevier, 2022)The study of brain network interactions during naturalistic stimuli facilitates a deeper understanding of human brain function. To estimate large-scale brain networks evoked with naturalistic stimuli, a tensor component ...