Different Perception of Musical Stimuli in Patients with Monolateral and Bilateral Cochlear Implants

The aim of the present study is to measure the perceived pleasantness during the observation of a musical video clip in a group of cochlear implanted adult patients when compared to a group of normal hearing subjects. This comparison was performed by using the imbalance of the EEG power spectra in alpha band over frontal areas as a metric for the perceived pleasantness. Subjects were asked to watch a musical video clip in three different experimental conditions: with the original audio included (Norm), with a distorted version of the audio (Dist), and without the audio (Mute). The frontal EEG imbalance between the estimated power spectra for the left and right prefrontal areas has been calculated to investigate the differences among the two populations. Results suggested that the perceived pleasantness of the musical video clip in the normal hearing population and in the bilateral cochlear implanted populations has similar range of variation across the different stimulations (Norm, Dist, and Mute), when compared to the range of variation of video clip's pleasantness for the monolateral cochlear implanted population. A similarity exists in the trends of the perceived pleasantness across the different experimental conditions in the mono- and bilaterally cochlear implanted patients.

[1]  Laura Astolfi,et al.  Imaging the Social Brain by Simultaneous Hyperscanning during Subject Interaction , 2011, IEEE Intelligent Systems.

[2]  Richard J. Davidson,et al.  Neuropsychological Perspectives on Affective Styles and Their Cognitive Consequences , 2005 .

[3]  Fabio Babiloni,et al.  EEG frontal asymmetry related to pleasantness of music perception in healthy children and cochlear implanted users , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Shelley Witt,et al.  Recognition of “Real-World” Musical Excerpts by Cochlear Implant Recipients and Normal-Hearing Adults , 2005, Ear and hearing.

[5]  Febo Cincotti,et al.  Human cortical EEG rhythms during long-term episodic memory task. A high-resolution EEG study of the HERA model , 2004, NeuroImage.

[6]  L. Astolfi,et al.  A neural mass model for the simulation of cortical activity estimated from high resolution EEG during cognitive or motor tasks , 2006, Journal of Neuroscience Methods.

[7]  G. Borghini,et al.  Neuroscience and Biobehavioral Reviews , 2022 .

[8]  Febo Cincotti,et al.  High-resolution EEG techniques for brain–computer interface applications , 2008, Journal of Neuroscience Methods.

[9]  W. Klimesch EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.

[10]  Laura Astolfi,et al.  Testing the asymptotic statistic for the assessment of the significance of partial directed coherence connectivity patterns , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  Laura Astolfi,et al.  How the Statistical Validation of Functional Connectivity Patterns Can Prevent Erroneous Definition of Small-World Properties of a Brain Connectivity Network , 2012, Comput. Math. Methods Medicine.

[12]  J. Mueller,et al.  Comparison of Music Perception in Bilateral and Unilateral Cochlear Implant Users and Normal-Hearing Subjects , 2009, Audiology and Neurotology.

[13]  J. Knutson,et al.  Musical backgrounds, listening habits, and aesthetic enjoyment of adult cochlear implant recipients. , 2000, Journal of the American Academy of Audiology.

[14]  R. Davidson What does the prefrontal cortex “do” in affect: perspectives on frontal EEG asymmetry research , 2004, Biological Psychology.

[15]  Michael D. Robinson,et al.  Measures of emotion: A review , 2009, Cognition & emotion.

[16]  Laura Astolfi,et al.  On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research , 2011, Comput. Intell. Neurosci..

[17]  R. Davidson Anxiety and affective style: role of prefrontal cortex and amygdala , 2002, Biological Psychiatry.

[18]  Laura Astolfi,et al.  Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  G. Vecchiato,et al.  A hybrid platform based on EOG and EEG signals to restore communication for patients afflicted with progressive motor neuron diseases , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[20]  Fabio Babiloni,et al.  On the Use of Electrooculogram for Efficient Human Computer Interfaces , 2009, Comput. Intell. Neurosci..

[21]  Herbert F. Voigt,et al.  IEEE Engineering in Medicine and Biology Society , 2019, IEEE Transactions on Biomedical Engineering.

[22]  F Cincotti,et al.  Mapping of early and late human somatosensory evoked brain potentials to phasic galvanic painful stimulation , 2001, Human brain mapping.

[23]  Hugh J. McDermott Music Perception with Cochlear Implants: A Review , 2004, Trends in amplification.

[24]  Febo Cincotti,et al.  Human brain oscillatory activity phase‐locked to painful electrical stimulations: A multi‐channel EEG study , 2002, Human brain mapping.

[25]  R. Davidson Affective style, psychopathology, and resilience: brain mechanisms and plasticity. , 2000, The American psychologist.