0000000000069104

AUTHOR

Iballa Burunat

0000-0003-3948-1414

showing 18 related works from this author

Musical training predicts cerebello-hippocampal coupling during music listening.

2018

Cerebello-hippocampal interactions occur during accurate spatiotemporal prediction of movements. In the context of music listening, differences in cerebello-hippocampal functional connectivity may result from differences in predictive listening accuracy. Using functional MRI, we studied differences in this network between 18 musicians and 18 nonmusicians while they listened to music. Musicians possess a predictive listening advantage over nonmusicians, facilitated by strengthened coupling between produced and heard sounds through lifelong musical experience. Thus, we hypothesized that musicians would exhibit greater functional connectivity than nonmusicians as a marker of accurate online pr…

515 Psychologymedia_common.quotation_subjectmusiikkiMusicalMusic listeningHippocampal formationkuunteleminen050105 experimental psychology03 medical and health sciences0302 clinical medicinePerception0501 psychology and cognitive scienceshippokampusta515media_common05 social sciences3112 NeurosciencesGeneral Medicinecerebello-hippocampal interactionsCoupling (electronics)6131 Theatre dance music other performing artsta6131music listeningaivotPsychology030217 neurology & neurosurgerymusical trainingCognitive psychology
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Personality modulates brain responses to emotion in music: Comparing whole-brain and regions-of-variance approaches

2019

AbstractWhether and how personality traits explain the individual variance in neural responses to emotion in music remains unclear. The sparse studies on this topic report inconsistent findings. The present study extends previous work using regions of variance (ROVs) as regions of interest, compared with whole-brain analysis. Fifty-five subjects listened to happy, sad, and fearful music during functional Magnetic Resonance Imaging. Personality was measured with the Big Five Questionnaire. Results confirmed previous observations of Neuroticism being positively related to activation during sad music, in the left inferior parietal lobe. In an exploratory analysis, Openness was positively relat…

Extraversion and introversionmedicine.diagnostic_testBrain activity and meditationmedia_common.quotation_subject05 social sciencesbehavioral disciplines and activitiesNeuroticismhumanities050105 experimental psychology03 medical and health sciences0302 clinical medicineSupramarginal gyrusmental disordersOpenness to experiencemedicinePersonality0501 psychology and cognitive sciencesBig Five personality traitsPsychologyFunctional magnetic resonance imaginghuman activities030217 neurology & neurosurgeryCognitive psychologymedia_common
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Functional Magnetic Resonance Imaging (fMRI)

2017

medicine.diagnostic_testBrain activity and meditationComputer sciencemedia_common.quotation_subject05 social sciencesCognition050105 experimental psychology03 medical and health sciences0302 clinical medicinePerceptionmedicine0501 psychology and cognitive sciencesFunctional magnetic resonance imagingNeuroscience030217 neurology & neurosurgeryBrain functionmedia_common
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Musical expertise modulates functional connectivity of limbic regions during continuous music listening.

2015

Music is known to be an important facet of all human cultures (Merriam, 1964). Listening to music in order to influence moods, evoke strong emotions, and derive pleasure is becoming increasingly common, especially in this day and age when access to music is easy and quick. In recent years, exploring the neural correlates of musical emotions has attracted the attention of neuroscientists (Brattico & Pearce, 2013; Koelsch, Fritz, v. Cramon, Muller, & Friederici, 2006). However, the majority of these studies have not accounted for the effect of musical expertise, despite increasing evidence of structural and functional differences between musicians and nonmusicians, particularly in the regions…

Auditory perceptionCognitive scienceNeural correlates of consciousnessmedicine.diagnostic_testResting state fMRImedia_common.quotation_subjectfunctional connectivityfMRInaturalistic paradigmGeneral MedicineMusicalAuditory cortexta3112Pleasuremusical expertiselimbic systemta6131medicinefunctional MRIActive listeningFunctional magnetic resonance imagingPsychologymedia_commonCognitive psychology
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On application of kernel PCA for generating stimulus features for fMRI during continuous music listening

2017

Abstract Background There has been growing interest towards naturalistic neuroimaging experiments, which deepen our understanding of how human brain processes and integrates incoming streams of multifaceted sensory information, as commonly occurs in real world. Music is a good example of such complex continuous phenomenon. In a few recent fMRI studies examining neural correlates of music in continuous listening settings, multiple perceptual attributes of music stimulus were represented by a set of high-level features, produced as the linear combination of the acoustic descriptors computationally extracted from the stimulus audio. New method fMRI data from naturalistic music listening experi…

AdultMaleComputer scienceCognitive Neurosciencemedia_common.quotation_subjectSpeech recognitionmusiikkiSensory systemStimulus (physiology)ta3112050105 experimental psychologyKernel principal component analysisnaturalistic fMRImusic stimulusYoung Adult03 medical and health sciencestoiminnallinen magneettikuvaus0302 clinical medicineRhythmNeuroimagingPerceptionHumans0501 psychology and cognitive sciencesActive listeningmedia_commonBrain MappingPrincipal Component AnalysisNeural correlates of consciousnessGeneral Neuroscience05 social sciencesfunctional magnetic resonance imaging (fMRI)feature generationkernel PCABrainMagnetic Resonance Imagingta6131Auditory PerceptionFemaleärsykkeetMusic030217 neurology & neurosurgerymusical featuresJournal of Neuroscience Methods
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The chronnectome of musical beat

2020

Keeping time is fundamental for our everyday existence. Various isochronous activities, such as locomotion, require us to use internal timekeeping. This phenomenon comes into play also in other human pursuits such as dance and music. When listening to music, we spontaneously perceive and predict its beat. The process of beat perception comprises both beat inference and beat maintenance, their relative importance depending on the salience of beat in the music. To study functional connectivity associated with these processes in a naturalistic situation, we used functional magnetic resonance imaging to measure brain responses of participants while they were listening to a piece of music contai…

MalePower graph analysisPeriodicityInferencemusiikkipsykologiatoiminnallinen magneettikuvaus0302 clinical medicineCerebellumMusic information retrievalDefault mode networkmedia_commonmedicine.diagnostic_testfMRI05 social sciencesMotor CortexMagnetic Resonance ImagingBeatNeurologyAuditory PerceptionFemalePsychologybeatCognitive psychologyAdultNaturalistic imagingMusic information retrievalCognitive Neurosciencemedia_common.quotation_subjectmusic information retrievaldynamic connectivity050105 experimental psychologylcsh:RC321-571Young Adult03 medical and health sciencesPerceptionConnectomemedicineHumansmusic0501 psychology and cognitive scienceslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryAuditory Cortexnaturalistic imagingrytmiDynamic connectivityAcoustic Stimulationkognitiivinen neurotiedeCentralityFunctional magnetic resonance imagingBeat (music)Music030217 neurology & neurosurgeryNeuroImage
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The reliability of continuous brain responses during naturalistic listening to music

2015

Low-level (timbral) and high-level (tonal and rhythmical) musical features during continuous listening to music, studied by functional magnetic resonance imaging (fMRI), have been shown to elicit large-scale responses in cognitive, motor, and limbic brain networks. Using a similar methodological approach and a similar group of participants, we aimed to study the replicability of previous findings. Participants' fMRI responses during continuous listening of a tango Nuevo piece were correlated voxelwise against the time series of a set of perceptually validated musical features computationally extracted from the music. The replicability of previous results and the present study was assessed b…

MalePoison controlBrain mappingNOISE0302 clinical medicineInterclass correlationMusical featuresBrain Mappingmedicine.diagnostic_testResearch Support Non-U.S. Gov't05 social sciencesBrainCognitionReliabilityMagnetic Resonance ImaginghumanitiesVARIABILITYNeurologyNEUROSCIENCEFMRIta6131Naturalistic paradigmAuditory PerceptionFemaleTEST-RETEST RELIABILITYPsychologypsychological phenomena and processesCognitive psychologyAdultCognitive NeuroscienceLATERALIZATIONbehavioral disciplines and activitiesta3112050105 experimental psychologyLateralization of brain function03 medical and health sciencesTIMBREYoung AdultWORKING-MEMORYmedicineJournal ArticleHumans0501 psychology and cognitive sciencesActive listeningSet (psychology)ATTENTIONReproducibility of ResultsDice coefficientFunctional magnetic resonance imaging (fMRI)Acoustic StimulationFunctional magnetic resonance imagingNeuroscienceTimbrehuman activities030217 neurology & neurosurgeryMusicAUDITORY-CORTEXNeuroImage
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On application of kernel PCA for generating stimulus features for fMRI during continuous music listening

2018

Background There has been growing interest towards naturalistic neuroimaging experiments, which deepen our understanding of how human brain processes and integrates incoming streams of multifaceted sensory information, as commonly occurs in real world. Music is a good example of such complex continuous phenomenon. In a few recent fMRI studies examining neural correlates of music in continuous listening settings, multiple perceptual attributes of music stimulus were represented by a set of high-level features, produced as the linear combination of the acoustic descriptors computationally extracted from the stimulus audio. New method fMRI data from naturalistic music listening experiment were…

music stimulustoiminnallinen magneettikuvausfunctional magnetic resonance imaging (fMRI)feature generationmusiikkikernel PCAärsykkeetnaturalistic fMRImusical features
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Connectivity Patterns During Music Listening: Evidence for Action-Based Processing in Musicians

2017

Musical expertise is visible both in the morphology and functionality of the brain. Recent research indicates that functional integration between multi-sensory, somato-motor, default-mode (DMN), and salience (SN) networks of the brain differentiates musicians from non-musicians during resting state. Here, we aimed at determining whether brain networks differentially exchange information in musicians as opposed to non-musicians during naturalistic music listening. Whole-brain graph-theory analyses were performed on participants' fMRI responses. Group-level differences revealed that musicians' primary hubs comprised cerebral and cerebellar sensorimotor regions whereas non-musicians' dominant …

musiikin kuuntelumuusikotgraph theoryfMRIfunctional connectivitymusiikkiaivotutkimusneurotieteetmusical training
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Action in Perception: Prominent Visuo-Motor Functional Symmetry in Musicians during Music Listening.

2015

Musical training leads to sensory and motor neuroplastic changes in the human brain. Motivated by findings on enlarged corpus callosum in musicians and asymmetric somatomotor representation in string players, we investigated the relationship between musical training, callosal anatomy, and interhemispheric functional symmetry during music listening. Functional symmetry was increased in musicians compared to nonmusicians, and in keyboardists compared to string players. This increased functional symmetry was prominent in visual and motor brain networks. Callosal size did not significantly differ between groups except for the posterior callosum in musicians compared to nonmusicians. We conclude…

6162 Cognitive scienceAuditory perceptionAdultMalemusic perceptionINFORMATIONmedia_common.quotation_subjectSEGMENTATIONmotor brain networkslcsh:MedicineSensory systemINTERHEMISPHERIC-TRANSFERAuditory cortexCorpus callosumta3112corpus callosumCORTICAL REPRESENTATIONPerceptionNeuroplasticitymedicineHumansPLASTICITYlcsh:ScienceLIFE-SPANmedia_commonCOORDINATIONMultidisciplinarymedicine.diagnostic_testMusic psychologylcsh:Rfunctional symmetryCORPUS-CALLOSUM SIZEHUMAN BRAINRadiographyvisual brain networksta6131Auditory PerceptionFemalelcsh:QSensorimotor CortexPsychologyFunctional magnetic resonance imagingMusicAUDITORY-CORTEXCognitive psychologyResearch Articlemusical trainingPLoS ONE
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Dynamics of brain activity underlying working memory for music in a naturalistic condition

2014

We aimed at determining the functional neuroanatomy of working memory (WM) recognition of musical motifs that occurs while listening to music by adopting a non-standard procedure. Western tonal music provides naturally occurring repetition and variation of motifs. These serve as WM triggers, thus allowing us to study the phenomenon of motif tracking within real music. Adopting a modern tango as stimulus, a behavioural test helped to identify the stimulus motifs and build a time-course regressor of WM neural responses. This regressor was then correlated with the participants' (musicians') functional magnetic resonance imaging (fMRI) signal obtained during a continuous listening condition. In…

AdultMaleMemory Long-TermAdolescentBrain activity and meditationCognitive NeuroscienceExperimental and Cognitive PsychologyCognitive neuroscienceStimulus (physiology)Recognition (Psychology)behavioral disciplines and activitiesHippocampusTemporal lobeYoung AdultCognitionmedicineHumansta515Working memory (WM)Brain MappingSupplementary motor areamedicine.diagnostic_testWorking memoryBrainRecognition PsychologyMiddle AgedMagnetic Resonance ImaginghumanitiesDorsolateral prefrontal cortexFunctional magnetic resonance imaging (fMRI)NaturalisticNeuropsychology and Physiological Psychologymedicine.anatomical_structureMemory Short-TermAcoustic Stimulationta6131Auditory PerceptionFemalePsychologyFunctional magnetic resonance imagingNeurosciencepsychological phenomena and processesMusicCognitive psychologyCORTEX
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Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis

2014

Background: Independent component analysis (ICA) has been often used to decompose fMRI data mostly for the resting-state, block and event-related designs due to its outstanding advantage. For fMRI data during free-listening experiences, only a few exploratory studies applied ICA.New method: For processing the fMRI data elicited by 512-s modern tango, a FFT based band-pass filter was used to further pre-process the fMRI data to remove sources of no interest and noise. Then, a fast model order selection method was applied to estimate the number of sources. Next, both individual ICA and group ICA were performed. Subsequently, ICA components whose temporal courses were significantly correlated …

AdultMalereal-world experiencesComputer scienceSpeech recognitionFast Fourier transformDiffusion mapTIME-SERIESfast model order selectionORDER SELECTION050105 experimental psychologyYoung AdultNUMBER03 medical and health sciences0302 clinical medicineImage Processing Computer-AssistedDiffusion mapHumans0501 psychology and cognitive sciencesICABlock (data storage)ta113Brain MappingPrincipal Component AnalysisGeneral NeurosciencefMRI05 social sciencesBrainFilter (signal processing)Magnetic Resonance ImagingIndependent component analysisSpectral clusteringOxygenMODELDIFFUSION MAPSAcoustic StimulationFFT filterta6131Auditory PerceptionFemaleHUMAN BRAIN ACTIVITYNoise (video)DYNAMICAL-SYSTEMSDigital filterMusic030217 neurology & neurosurgeryMRIJournal of Neuroscience Methods
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Music style not only modulates the auditory cortex, but also motor related areas

2021

The neuroscience of music has recently attracted significant attention, but the effect of music style on the activation of auditory-motor regions has not been explored. The aim of the present study is to analyze the differences in brain activity during passive listening to non-vocal excerpts of four different music genres (classical, reggaeton, electronic and folk). A functional magnetic resonance imaging (fMRI) experiment was performed. Twenty-eight participants with no musical training were included in the study. They had to passively listen to music excerpts of the above genres during fMRI acquisition. Imaging analysis was performed at the whole-brain-level and in auditory-motor regions …

0301 basic medicinemedicine.medical_specialtyBrain activity and meditationmusiikkigenretmusiikkipsykologiaMusicalAudiologyAuditory cortexbehavioral disciplines and activitiesStyle (sociolinguistics)03 medical and health sciences0302 clinical medicinetoiminnallinen magneettikuvausmedicineHumansActive listeningmusicmotoriikkaAuditory Cortexmusic genreBrain Mappingmedicine.diagnostic_testGeneral NeurosciencefMRIMotor CortexMagnetic Resonance ImaginghumanitiesImaging analysisClassical music030104 developmental biologyaivokuoriAcoustic Stimulationauditory-motor areasAuditory PerceptionPsychologyFunctional magnetic resonance imaginghuman activities030217 neurology & neurosurgeryMusicpsychological phenomena and processesärsykkeet
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Influence of Musical Expertise on the processing of Musical Features in a Naturalistic Setting

2019

Musical training causes structural and functional changes in the brain due to its sensory-motor demands, but the modulatory effect of musical training on music feature processing in the brain in a continuous music listening paradigm, has not been investigated thus far. In this work, we investigate the differences between musicians and non-musicians in the encoding of musical features encompassing musical timbre, rhythm and tone. 18 musicians and 18 non-musicians were scanned using fMRI while listening to 3 varied stimuli. Acoustic features corresponding to timbre, rhythm and tone were computationally extracted from the stimuli and correlated with brain responses, followed by t-tests on grou…

Cognitive sciencemuusikotneuropsykologiafMRInaturalistic stimulusmusiikkipsykologiaMusicalacoustic feature extractionbehavioral disciplines and activitieshumanitiestoiminnallinen magneettikuvausprosessointimusicians vs non-musiciansmusic processingPsychologyärsykkeetNaturalism2019 Conference on Cognitive Computational Neuroscience
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Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis

2017

Our sense of rhythm relies on orchestrated activity of several cerebral and cerebellar structures. Although functional connectivity studies have advanced our understanding of rhythm perception, this phenomenon has not been sufficiently studied as a function of musical training and beyond the General Linear Model (GLM) approach. Here, we studied pulse clarity processing during naturalistic music listening using a data-driven approach (independent component analysis; ICA). Participants’ (18 musicians and 18 controls) functional magnetic resonance imaging (fMRI) responses were acquired while listening to music. A targeted region of interest (ROI) related to pulse clarity processing was defined…

Speech recognitionMusiciansRhythm perceptionBehavioral Neuroscience0302 clinical medicinemedia_commonOriginal ResearchmuusikotFunctional integration (neurobiology)medicine.diagnostic_test05 social sciencesmusicianscerebral structurePulse (music)Psychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyforecaststa6131Psychologyaivotcerebellar structureärsykkeetmedia_common.quotation_subjectbrainAuditory areamusiikkinaturalisticta3112rhythmbehavioral disciplines and activities050105 experimental psychologylcsh:RC321-57103 medical and health sciencesRhythmRegion of interestPerceptionmedicine0501 psychology and cognitive sciencesmusicstimuli (role related to effect)lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological Psychiatryfunctional magnetic resonance imaging (fMRI)ennusteetIndependent Component Analysis (ICA)predictionIndependent component analysisrytmirhythm perceptionFunctional magnetic resonance imagingindependent component analysis (ICA)030217 neurology & neurosurgeryNeuroscienceFrontiers in Human Neuroscience
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Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions.

2016

Music is often used to regulate emotions and mood. Typically, music conveys and induces emotions even when one does not attend to them. Studies on the neural substrates of musical emotions have, however, only examined brain activity when subjects have focused on the emotional content of the music. Here we address with functional magnetic resonance imaging (fMRI) the neural processing of happy, sad, and fearful music with a paradigm in which 56 subjects were instructed to either classify the emotions (explicit condition) or pay attention to the number of instruments playing (implicit condition) in 4-s music clips. In the implicit vs. explicit condition, stimuli activated bilaterally the infe…

MaleBrain activity and meditationCaudateEmotionsHappinessBehavioral Neuroscience0302 clinical medicineImage Processing Computer-AssistedBRAIN-REGIONSAttentionmedia_commonBrain MappingCognitive neuroscience of musicmedicine.diagnostic_test05 social sciencesPROSODYBrainFearMiddle AgedFUNCTIONAL MRIMagnetic Resonance ImaginghumanitiesSadnessmedicine.anatomical_structureNEUROSCIENCEFMRIta6131CAUDATE-NUCLEUSFemalePsychologyimplicit processingCognitive psychologyExplicit processingAdultexplicit processing515 PsychologyCognitive Neurosciencemedia_common.quotation_subjectmusiikkiemotionExperimental and Cognitive PsychologyImplicit processingbehavioral disciplines and activitiesta3112050105 experimental psychologyPremotor cortex03 medical and health sciencesYoung AdultJournal ArticlemedicineMiddle frontal gyrusHumans0501 psychology and cognitive sciencescaudateMEANINGLESS SPEECHBACKGROUND MUSICEmotion3112 NeurosciencesOxygenAcoustic StimulationMusic and emotionOrbitofrontal cortexVOXEL-BASED METAANALYSISFunctional magnetic resonance imaginghuman activities030217 neurology & neurosurgeryMusicPhotic StimulationRESPONSESNeuropsychologia
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Connectivity patterns during music listening: Evidence for action-based processing in musicians

2017

Musical expertise is visible both in the morphology and functionality of the brain. Recent research indicates that functional integration between multi-sensory, somato-motor, default-mode (DMN), and salience (SN) networks of the brain differentiates musicians from non-musicians during resting state. Here, we aimed at determining whether brain networks differentially exchange information in musicians as opposed to non-musicians during naturalistic music listening. Whole-brain graph-theory analyses were performed on participants' fMRI responses. Group-level differences revealed that musicians' primary hubs comprised cerebral and cerebellar sensorimotor regions whereas non-musicians' dominant …

Auditory perceptionRadiological and Ultrasound TechnologyResting state fMRIMusic psychology05 social sciencesSomatosensory systemAuditory cortexBrain mapping050105 experimental psychology03 medical and health sciences0302 clinical medicineNeurologySalience (neuroscience)0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingNeurology (clinical)Anatomy10. No inequalityPsychology030217 neurology & neurosurgeryMirror neuronCognitive psychologyHuman Brain Mapping
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Decoding Musical Training from Dynamic Processing of Musical Features in the Brain

2018

AbstractPattern recognition on neural activations from naturalistic music listening has been successful at predicting neural responses of listeners from musical features, and vice versa. Inter-subject differences in the decoding accuracies have arisen partly from musical training that has widely recognized structural and functional effects on the brain. We propose and evaluate a decoding approach aimed at predicting the musicianship class of an individual listener from dynamic neural processing of musical features. Whole brain functional magnetic resonance imaging (fMRI) data was acquired from musicians and nonmusicians during listening of three musical pieces from different genres. Six mus…

AdultMaleoppiminenSpeech recognitionlcsh:MedicineMusical050105 experimental psychologykuunteleminenArticle03 medical and health sciencesYoung Adult0302 clinical medicinemusiikintutkimusalgoritmitmedicineFeature (machine learning)Journal ArticleharjoitteluHumans0501 psychology and cognitive sciencesActive listeningTonalitylcsh:Sciencelearning algorithmsBrain MappingMultidisciplinarymedicine.diagnostic_testMusic psychology05 social scienceslcsh:RBrainMagnetic Resonance Imagingneural decodingAcoustic StimulationPattern recognition (psychology)Auditory Perceptionlcsh:QFemaleFunctional magnetic resonance imagingPsychologyaivotTimbre030217 neurology & neurosurgeryMusic
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