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Music Genre Preference and Tempo Alter Alpha and Beta Waves in Human Non-Musicians

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Music Genre Preference and Tempo Alter Alpha and Beta Waves in Human Non-Musicians Page 1 of 11 Impulse: The Premier Undergraduate Neuroscience Journal 2013 Music genre preference and tempo alter alpha and beta waves in human non-musicians. Nicole Hurless1, Aldijana Mekic1, Sebastian Peña1, Ethan Humphries1, Hunter Gentry1, 1 David F. Nichols 1Roanoke College, Salem, Virginia 24153 This study examined the effects of music genre and tempo on brain activation patterns in 10 non- musicians. Two genres (rock and jazz) and three tempos (slowed, medium/normal, and quickened) were examined using EEG recording and analyzed through Fast Fourier Transform (FFT) analysis. When participants listened to their preferred genre, an increase in alpha wave amplitude was observed. Alpha waves were not significantly affected by tempo. Beta wave amplitude increased significantly as the tempo increased. Genre had no effect on beta waves. The findings of this study indicate that genre preference and artificially modified tempo do affect alpha and beta wave activation in non-musicians listening to preselected songs. Abbreviations: BPM – beats per minute; EEG – electroencephalography; FFT – Fast Fourier Transform; ERP – event related potential; N2 – negative peak 200 milliseconds after stimulus; P3 – positive peak 300 milliseconds after stimulus Keywords: brain waves; EEG; FFT. Introduction For many people across cultures, music The behavioral relationship between is a common form of entertainment. Dillman- music preference and other personal Carpentier and Potter (2007) suggested that characteristics, such as those studied by music is an integral form of human Rentfrow and Gosling (2003), is evident. communication used to relay emotion, group However, the neurological bases of preference identity, and even political information. need to be studied more extensively in order to Although the scientific study of music has be understood. To assess neurological investigated pitch, harmony, and rhythm, some differences based on genre and tempo, changes of the social behavioral factors such as in brain waves while listening to music can be preference have not been given adequate measured via electroencephalogram (EEG) or attention (Rentfrow and Gosling, 2003). event-related potential (ERP) (Davidson, 1988). A sequence of studies by Rentfrow and Gosling (2003) observed individual differences Neurological Measures of ERP and EEG in music preference. This was one of the first studies that developed a theory of music Both EEG and ERP techniques measure preference that would research basic questions electrical current on the scalp that passes about why people listen to music. Music through the meninges of the brain and the skull preference was found to relate to personality and (Frith and Friston, 2013). These electrical other behavioral characteristics (Rentfrow and readings are very small in comparison to an Gosling, 2003). Music preference may interact electrical signal created by somatic neurons, and with other facets to produce significant the greater the number of neurons in the brain individual differences in response to music that fire at the same time, the stronger the (Rentfrow and Gosling, 2003). EEG/ERP signal (Frith and Friston, 2013). The Page 2 of 11 Music genre preference and tempo alter alpha and beta wave activity patterns 2013 ERP is best for rapid stimuli, while EEG records Genre Preference Measured by ERP and EEG over longer durations, and both methods are very temporally accurate and are, therefore, Caldwell and Riby (2007) studied excellent for measuring quick responses to differences in ERP components in classical and stimuli (Coles and Rugg, 1995). The peaks of rock musicians when listening to their genre of brain activity measured by ERP are named for preference, as well as the other genre. Smaller the direction of the peak (i.e., positive or P3 amplitudes were seen when subjects listened negative) and the latency of the response after to their specialized genre of music, indicating the stimulus presentation (Coles and Rugg, that fewer “cognitive resources” were applied 1995). For example, a P2 component would be a (Caldwell and Riby, 2007). The P3 components positive peak occurring 200 ms after stimulus are related to conscious working memory and presentation. EEG measures brain wave activity the maintenance of a mental representation of a over longer epochs and activity of certain waves stimulus in conscious thought, and a reduction can be averaged over the duration of the in P3 amplitude may indicate familiarity with a recording (Coles and Rugg, 1995). This ability genre. Familiarity is related to preference in that to record over longer periods of time allows people usually spend the most time listening to participants to process complex stimuli the genre they prefer, thus becoming the most adequately and, therefore, makes EEG the better familiar with that genre (Caldwell and Riby, choice studying reactions to musical stimuli. 2007). If the P3 component is related to active Different ERP components indicate cognitive processing, it would be expected to different types of mental processing, for have an inverse relationship with alpha wave example, the presence of an N2 component activity, which is related to relaxation. Preferred indicates subconscious processing, while a P3 genres produced less arousal, indicated by component indicates conscious cognitive smaller P3 amplitudes; expectedly, alpha waves processing of or attention to a stimulus would increase during decreased arousal (Caldwell and Riby, 2007). Components that are experienced while listening to preferred/familiar present in an ERP recording will indicate how genres of music (Teplan, 2002). the brain processes input. Regarding EEG, Höller et al. (2012) looked for any average wave amplitude over time will indicate similar effects on alpha and beta brain wave which brain waves were the most synchronous activity for non-musicians when participants (therefore most prevalent) during stimulus selected their own samples of music. EEG presentation. Each wave occurs within a specific recordings were analyzed using FFT to examine frequency range that can be used to identify the the energy of different frequency bands (i.e., waves. The specific brain wave type indicates alpha and beta). Höller et al. (2012) state that the type of brain activity occurring (Davidson, alpha wave activity is inversely related to 1988). Alpha waves (8-13 Hz) are more cognitive activity, so relaxing music can synchronous in the occipital region of the brain increase alpha wave activity, however alpha when a person is awake but relaxed, with his or wave activity did not discriminate between her eyes closed, and are indicative of a relaxed relaxing and activating music (all music pieces mental state (Teplan, 2002; Sammler, et al., were selected by participants as their favorite 2007). Beta waves (13-30 Hz) are more pieces to evoke relaxation or arousal), indicating synchronous during general consciousness and preference, rather than the mental relaxation of indicate a person is attentive, with his or her the participant produced by the music, has a eyes open (William and Harry, 1985; Abdou et greater effect on alpha wave activity. al., 2006; Teplan, 2002). Beta waves can be These studies support the effect of genre observed in the left temporal lobe during a state preference on differences in brain activity. of wakefulness (Overman et al., 2003). Both Specifically, EEG measurements indicate the alpha and beta waves are most prominent during presence of alpha waves during relaxing or wakefulness and have been studied well, familiar music (Berk, 2008). While the literature therefore, these waves will be examined in the related to preference involves the use of current study (Teplan, 2002). musicians and non-musicians, both populations Page 3 of 11 Impulse: The Premier Undergraduate Neuroscience Journal 2013 experienced similar brain activation with regard dancing, activating music may influence motor to preferred music. The current study will regions of the brain, which can result in beta examine potential relationships between alpha wave activity (Höller et al., 2012). wave activity and a relative preference between two pre-selected genres for non-musicians. Current Study The Effect of Tempo on Brain Activity The present study investigates the effects of music genre preference and tempo on In addition to genre, tempo also has the brain activation patterns in the alpha and beta potential to alter brain activity. Because tempo frequency band regions. It is predicted that has been shown to affect behavioral measures, genre on its own will not affect alpha wave such as cognitive performance and arousal activity; however, alpha waves will be more (Husain et al., 2002), an effect on the brain synchronous when participants listen to their waves related to arousal (i.e., beta waves) can be preferred genre, as opposed to an unpreferred observed. Consistent with this, Steinberg et al.’s genre (less cognitive resources are applied while (1992) review concluded that music tempo does listening to a preferred genre therefore the affect beta waves. participants will be more relaxed and have Kornysheva et al. (2010) investigated greater alpha wave activation). It is also individual differences in brain activation predicted that faster tempos will produce greater patterns in response to different tempos and also beta wave activation in the left temporal brain an individual’s preferred tempo. The region because of the arousing nature of fast- participants of their study were asked to rate paced music.
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