Abstract:It is well known that damage to the peripheral auditory system causes deficits in tone detection as well as pitch and loudness perception across a wide range of frequencies. However, the extent to which to which the auditory cortex plays a critical role in these basic aspects of spectral processing, especially with regard to speech, music, and environmental sound perception, remains unclear. Recent experiments indicate that primary auditory cortex is necessary for the normally-high perceptual acuity exhibited … Show more
“…Similarly, categorization of frequency modulated (FM) tones based on their intensity seems to mainly engage the left auditory cortex (AC) shown by an fMRI experiment with contralateral noise presentation (Angenstein and Brechmann, 2013a). Yet another psychoacoustic study did not find any difference between left and right ear presentation during loudness discrimination on pure tones with 20 dB softer contralateral noise (Dykstra et al, 2012).…”
Section: Introductionmentioning
confidence: 86%
“…We derived this hypothesis from the previous study in which FM tones had to be categorized based on their intensity (Angenstein and Brechmann, 2013a). With respect to the comparison of tones based on their intensity no specific hypothesis can be formulated due to the equivocal results of the previous studies employing comparison of intensity within pairs of sounds (Dykstra et al, 2012;Milner, 1962;Reiterer et al, 2008). However, our own results on sequential comparisons of other features of sounds would suggest a bias towards the left AC (Angenstein and Brechmann, 2013b;Brechmann et al, 2007).…”
Section: Introductionmentioning
confidence: 96%
“…In addition, Angenstein and Brechmann (2013a) found a stronger left-hemispheric involvement in intensity processing with FM sweeps. Moreover, studies with tones found diverse results regarding hemispheric involvement (Belin et al, 1998;Dykstra et al, 2012;Milner, 1962;Reiterer et al, 2008). Thus, the kind of stimuli does not seem to be an important factor for biasing lateralization of intensity processing.…”
Section: Introductionmentioning
confidence: 99%
“…In most of the studies mentioned above, the intensity had to be compared within pairs of sounds (Brancucci et al, 2005;Dykstra et al, 2012;Milner, 1962;Reiterer et al, 2008) and thus required sequential comparison between the actual and the previous tone. This means with each presented pair the reference for comparison had to be updated.…”
Section: Introductionmentioning
confidence: 99%
“…Such sequential comparison can change the lateralization of activity towards the left AC even though the processing of the feature itself is lateralized to the right AC (Angenstein and Brechmann, 2013b;Brechmann et al, 2007). Whatsoever, the majority of studies on intensity discrimination employing such comparisons did not find a bias towards the left hemisphere (Brancucci et al, 2005;Dykstra et al, 2012;Milner, 1962; but see Reiterer et al, 2008).…”
“…Similarly, categorization of frequency modulated (FM) tones based on their intensity seems to mainly engage the left auditory cortex (AC) shown by an fMRI experiment with contralateral noise presentation (Angenstein and Brechmann, 2013a). Yet another psychoacoustic study did not find any difference between left and right ear presentation during loudness discrimination on pure tones with 20 dB softer contralateral noise (Dykstra et al, 2012).…”
Section: Introductionmentioning
confidence: 86%
“…We derived this hypothesis from the previous study in which FM tones had to be categorized based on their intensity (Angenstein and Brechmann, 2013a). With respect to the comparison of tones based on their intensity no specific hypothesis can be formulated due to the equivocal results of the previous studies employing comparison of intensity within pairs of sounds (Dykstra et al, 2012;Milner, 1962;Reiterer et al, 2008). However, our own results on sequential comparisons of other features of sounds would suggest a bias towards the left AC (Angenstein and Brechmann, 2013b;Brechmann et al, 2007).…”
Section: Introductionmentioning
confidence: 96%
“…In addition, Angenstein and Brechmann (2013a) found a stronger left-hemispheric involvement in intensity processing with FM sweeps. Moreover, studies with tones found diverse results regarding hemispheric involvement (Belin et al, 1998;Dykstra et al, 2012;Milner, 1962;Reiterer et al, 2008). Thus, the kind of stimuli does not seem to be an important factor for biasing lateralization of intensity processing.…”
Section: Introductionmentioning
confidence: 99%
“…In most of the studies mentioned above, the intensity had to be compared within pairs of sounds (Brancucci et al, 2005;Dykstra et al, 2012;Milner, 1962;Reiterer et al, 2008) and thus required sequential comparison between the actual and the previous tone. This means with each presented pair the reference for comparison had to be updated.…”
Section: Introductionmentioning
confidence: 99%
“…Such sequential comparison can change the lateralization of activity towards the left AC even though the processing of the feature itself is lateralized to the right AC (Angenstein and Brechmann, 2013b;Brechmann et al, 2007). Whatsoever, the majority of studies on intensity discrimination employing such comparisons did not find a bias towards the left hemisphere (Brancucci et al, 2005;Dykstra et al, 2012;Milner, 1962; but see Reiterer et al, 2008).…”
Recent studies have demonstrated a close relationship between computational acoustic features and neural brain activities, and have largely advanced our understanding of auditory information processing in the human brain. Along this line, we proposed a multidisciplinary study to examine whether power spectral density (PSD) profiles can be decoded from brain activities during naturalistic auditory experience. The study was performed on a high resolution functional magnetic resonance imaging (fMRI) dataset acquired when participants freely listened to the audio-description of the movie "Forrest Gump". Representative PSD profiles existing in the audio-movie were identified by clustering the audio samples according to their PSD descriptors. Support vector machine (SVM) classifiers were trained to differentiate the representative PSD profiles using corresponding fMRI brain activities. Based on PSD profile decoding, we explored how the neural decodability correlated to power intensity and frequency deviants. Our experimental results demonstrated that PSD profiles can be reliably decoded from brain activities. We also suggested a sigmoidal relationship between the neural decodability and power intensity deviants of PSD profiles. Our study in addition substantiates the feasibility and advantage of naturalistic paradigm for studying neural encoding of complex auditory information.
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