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RESEARCH PRODUCT
Event-related brain responses while listening to entire pieces of music
Minna HuotilainenMinna HuotilainenVinoo AlluriHanna PoikonenMari TervaniemiElvira BratticoElvira BratticoOlivier Lartillotsubject
Auditory perceptionAdultMaleSpeech recognitionMismatch negativityStimulus (physiology)Electroencephalographyevent-related potentialsta3112050105 experimental psychology03 medical and health sciencesYoung Adult0302 clinical medicineEvent-related potentialmedicineHumans0501 psychology and cognitive sciencesmusicN100P200Evoked PotentialsCerebral CortexN100CommunicationAudio signalmedicine.diagnostic_testbusiness.industryGeneral Neuroscience05 social sciencesMiddle Agedta6131Auditory PerceptionFemalePsychologybusinessTimbre030217 neurology & neurosurgeryelectroencephalographymusical featuresdescription
Brain responses to discrete short sounds have been studied intensively using the event-related potential (ERP) method, in which the electroencephalogram (EEG) signal is divided into epochs time-locked to stimuli of interest. Here we introduce and apply a novel technique which enables one to isolate ERPs in human elicited by continuous music. The ERPs were recorded during listening to a Tango Nuevo piece, a deep techno track and an acoustic lullaby. Acoustic features related to timbre, harmony, and dynamics of the audio signal were computationally extracted from the musical pieces. Negative deflation occurring around 100 milliseconds after the stimulus onset (N100) and positive deflation occurring around 200 milliseconds after the stimulus onset (P200) ERP responses to peak changes in the acoustic features were distinguishable and were often largest for Tango Nuevo. In addition to large changes in these musical features, long phases of low values that precede a rapid increase - and that we will call Preceding Low-Feature Phases - followed by a rapid increase enhanced the amplitudes of N100 and P200 responses. These ERP responses resembled those to simpler sounds, making it possible to utilize the tradition of ERP research with naturalistic paradigms.
year | journal | country | edition | language |
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2017-01-01 | Neuroscience |