Impaired emotional processing of chords in congenital amusia: Electrophysiological and behavioral evidence

Zhou, Linshu; Liu, Fang; Jiang, Jun; Jiang, Cunmei

doi:10.1016/j.bandc.2019.06.001

Cited by 14 publications

(15 citation statements)

References 76 publications

(99 reference statements)

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“…The sequences were composed using consonant (pleasant sounding) and dissonant (unpleasant sounding) chords (see Supporting information for details). Following previous studies (Steinbeis & Koelsch, 2011; Zhou et al, 2019), the consonant chords in the present experiment were major chords in the root position (e.g., C‐E‐G‐C). Dissonant stimuli were non‐triads (e.g., C–F sharp–B–C).…”

Section: Methodssupporting

confidence: 74%

The autistic brain can process local but not global emotion regularities in facial and musical sequences

Zhou

Liu

et al. 2021

Autism Research

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Whether autism spectrum disorder (ASD) is associated with a global processing deficit remains controversial. Global integration requires extraction of regularity across various timescales, yet little is known about how individuals with ASD process regularity at local (short timescale) versus global (long timescale) levels. To this end, we used event‐related potentials to investigate whether individuals with ASD would show different neural responses to local (within trial) versus global (across trials) emotion regularities extracted from sequential facial expressions; and if so, whether this visual abnormality would generalize to the music (auditory) domain. Twenty individuals with ASD and 21 age‐ and IQ‐matched individuals with typical development participated in this study. At an early processing stage, ASD participants exhibited preserved neural responses to violations of local emotion regularity for both faces and music. At a later stage, however, there was an absence of neural responses in ASD to violations of global emotion regularity for both faces and music. These findings suggest that the autistic brain responses to emotion regularity are modulated by the timescale of sequential stimuli, and provide insight into the neural mechanisms underlying emotional processing in ASD.

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Section: Methodssupporting

confidence: 74%

The autistic brain can process local but not global emotion regularities in facial and musical sequences

Zhou

Liu

et al. 2021

Autism Research

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“…Affective priming tasks have been used to evaluate the emotional meaning of the musical stimuli over the years (e.g., Costa, 2012;Daltrozzo & Schön, 2009;Goerlich et al, 2012;Sollberger et al, 2003;Steinbeis & Koelsch, 2011;Tay & Ng, 2019;Zhou et al, 2014Zhou et al, , 2019. In general terms, the cross-modal integration process between music and visual stimuli have been evaluated by means of neurophysiological and behavioral measures.…”

Section: Discussionmentioning

confidence: 99%

“…As in tasks using words, musical stimuli presented as primes can also bias the latency of the emotional evaluation of target stimuli (e.g., Costa, 2012;Daltrozzo & Schön, 2009;Goerlich et al, 2012;Sollberger et al, 2003;Steinbeis & Koelsch, 2011;Tay & Ng, 2019;Zhou et al, 2014Zhou et al, , 2019. Regarding the acoustic elements, Sollberger et al (2003) conducted an experiment with non-musician in which consonant or dissonant chords were presented as primes for positive or negative target-words.…”

mentioning

confidence: 99%

Affective priming caused by musical chords on human facial expressions

Huziwara

Cedro

Rodrigues

et al. 2022

Psychology of Music

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The emotional valence of a given stimulus is more quickly identified when such stimulus is preceded by another stimulus with a congruent valence (e.g., a positive word preceded by another positive word), a phenomenon termed affective priming. The present study investigated whether affective priming occurs when chords (consonant/dissonant, high/low pitch) are used as primes, and faces (happy or sad) are used as targets. Forty undergraduate students were submitted to 64 trials divided in eight experimental conditions with eight trials each. The eight experimental conditions were half congruent and half incongruent. The congruent combinations consisted of (a) consonant/high pitch—happy, (b) consonant/low pitch—happy, (c) dissonant/high pitch—sad, and (d) dissonant/low pitch—sad, while the incongruent combinations consisted of (e) dissonant/high pitch—happy, (f) dissonant/low pitch—happy, (g) consonant/high pitch—sad, and (h) consonant/low pitch—sad. Faster responses were found in the congruent condition when compared with the incongruent one, except when the high pitch—happy face combination was presented. These results partially replicate previous findings suggesting that the salience of the target stimuli can hinder the affective priming effect, which seems consistent with the happiness superiority effect literature.

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“…This system is mainly divided into three parts [13].As shown in Figure 4: The first part is music emotion recognition. Locate the main track in the MIDI sound source file, then extract the features such as pitch, length, and intensity in the music to construct a feature space and input it into the music emotion recognition system to obtain the emotion recognition result of the MIDI music [14].…”

Section: Design Of Music Emotion Recognition Application System 41 Th...mentioning

confidence: 99%

Computer analysis and automatic recognition technology of music emotion

Fang¹,

Liu²

2022

International Conference on Mechanisms and Robotics (ICMAR 2022)

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The development of computer technology, multimedia technology and communication technology has made the application of computers more and more widespread in people's lives. The next direction of computer development is to expect to be able to use computers to analyze, simulate and express human subjective thinking activities. As a part of people's lives, music has a strong emotional appeal. The stronger the musical emotion, the more audiences representing the song. Most of the computer technology related to music is still in the storage, tuning, compression, etc. of music, but with the development of computer analysis and automatic recognition technology, today’s computer technology can already realize the cognition of music emotions through models and programs and creation. This article first briefly introduces computer analysis and automatic recognition technology, then analyzes and discusses the current representation model of music emotion recognition, and finally tries to design a music emotion recognition model design and proposes to introduce BP neural network into music emotion recognition technology to realize the automatic emotion analysis and recognition of the main music track.

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Impaired emotional processing of chords in congenital amusia: Electrophysiological and behavioral evidence

Cited by 14 publications

References 76 publications

The autistic brain can process local but not global emotion regularities in facial and musical sequences

The autistic brain can process local but not global emotion regularities in facial and musical sequences

Affective priming caused by musical chords on human facial expressions

Computer analysis and automatic recognition technology of music emotion

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