2020
DOI: 10.1007/978-3-030-59277-6_10
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Differential Effects of Trait Empathy on Functional Network Centrality

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Cited by 4 publications
(5 citation statements)
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“…The close connections of empathy to both functional processing and emotional associations have inspired copious work in the field of neurosciences and music (Huron & Vuoskoski, 2020; Wallmark et al, 2018). “Trait empathy” (as a stable component of personality) is widely acknowledged as a factor that can modulate response patterns (Moorthigari et al, 2020) and research has repeatedly investigated gender differences in empathy (e.g., Löffler & Greitemeyer, 2021).…”
Section: Psychopathological Psychological and Cognitive Differencesmentioning
confidence: 99%
“…The close connections of empathy to both functional processing and emotional associations have inspired copious work in the field of neurosciences and music (Huron & Vuoskoski, 2020; Wallmark et al, 2018). “Trait empathy” (as a stable component of personality) is widely acknowledged as a factor that can modulate response patterns (Moorthigari et al, 2020) and research has repeatedly investigated gender differences in empathy (e.g., Löffler & Greitemeyer, 2021).…”
Section: Psychopathological Psychological and Cognitive Differencesmentioning
confidence: 99%
“…found that using dynamic functional connectivity patterns as features outperformed by a significant margin their static counterparts in identifying individuals. Using eigenvector centrality mapping, Moorthigari et al 13 . found that cognitive empathy was associated with higher centrality in sensorimotor regions responsible for motor mimicry, while affective empathy was associated with higher centrality in regions related to auditory affect processing.…”
Section: Model‐based and Model‐free Approaches To Investigating Brain...mentioning
confidence: 99%
“…Model-free No external regressor ISC 6 and ISPS 12 PCA, 11 ICA, 11,14 and graph-based methods 10,13 Abbreviations: ICA, independent component analysis; ISC, inter-subject correlation; ISPS, inter-subject phase synchrony; PCA, principal components analysis; PPI, psychophysiological interaction analysis; SPM, statistical parametric mapping.…”
Section: Segregation Integrationmentioning
confidence: 99%
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“…New solutions are suggested by the research work that has been done in music psychology in the decades since Bunt et al (1988) discussed the challenges to collaboration. The advent of computational resources capable of handling highly dimensional data has allowed researchers studying neural responses to music begin to use naturalistic music stimuli in studies rather than more easily controlled (but less ecologically valid) MIDI recordings or sine waves (e.g., Alluri et al, 2012;Cong et al, 2013;Omigie, Lehongre, Navarro, Claude, & Samson, 2019), and to understand the neural processing of music in terms of networks rather than regions of interest (e.g., Moorthigari, Carlson, Toiviainen, Brattico, Alluri, 2020). Similarly, those studying motor responses to music have begun to analyze complex, whole-body movements (e.g., Burger, 2013;Toiviainen, Luck, & Thompson, 2010) and tackle the challenges of analyzing movement in social settings (e.g., Carlson et al, 2018;Solberg & Jensenius, 2017); music performance as a social behavior is also being studied (e.g., Novembre, Ticini, Schu ¨tz-Bosbach, & Keller, 2014).…”
mentioning
confidence: 99%