Dissociable Neural Response Signatures for Slow Amplitude and Frequency Modulation in Human Auditory Cortex
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{"title"=>"Dissociable Neural Response Signatures for Slow Amplitude and Frequency Modulation in Human Auditory Cortex", "type"=>"journal", "authors"=>[{"first_name"=>"Molly J.", "last_name"=>"Henry"}, {"first_name"=>"Jonas", "last_name"=>"Obleser"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"563080256", "sgr"=>"84905624467", "issn"=>"1932-6203", "pmid"=>"24205309", "scopus"=>"2-s2.0-84905624467", "doi"=>"10.1371/journal.pone.0078758", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)"}, "id"=>"39ca9e39-18ea-3032-9d88-126bb8283908", "abstract"=>"Natural auditory stimuli are characterized by slow fluctuations in amplitude and frequency. However, the degree to which the neural responses to slow amplitude modulation (AM) and frequency modulation (FM) are capable of conveying independent time-varying information, particularly with respect to speech communication, is unclear. In the current electroencephalography (EEG) study, participants listened to amplitude- and frequency-modulated narrow-band noises with a 3-Hz modulation rate, and the resulting neural responses were compared. Spectral analyses revealed similar spectral amplitude peaks for AM and FM at the stimulation frequency (3 Hz), but amplitude at the second harmonic frequency (6 Hz) was much higher for FM than for AM. Moreover, the phase delay of neural responses with respect to the full-band stimulus envelope was shorter for FM than for AM. Finally, the critical analysis involved classification of single trials as being in response to either AM or FM based on either phase or amplitude information. Time-varying phase, but not amplitude, was sufficient to accurately classify AM and FM stimuli based on single-trial neural responses. Taken together, the current results support the dissociable nature of cortical signatures of slow AM and FM. These cortical signatures potentially provide an efficient means to dissect simultaneously communicated slow temporal and spectral information in acoustic communication signals.", "link"=>"http://www.mendeley.com/research/dissociable-neural-response-signatures-slow-amplitude-frequency-modulation-human-auditory-cortex-1", "reader_count"=>27, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>4, "Student > Doctoral Student"=>3, "Researcher"=>4, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>3, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>4, "Student > Doctoral Student"=>3, "Researcher"=>4, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>3, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>6, "Unspecified"=>3, "Agricultural and Biological Sciences"=>7, "Neuroscience"=>3, "Chemical Engineering"=>1, "Psychology"=>5, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>6}, "Neuroscience"=>{"Neuroscience"=>3}, "Psychology"=>{"Psychology"=>5}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Computer Science"=>{"Computer Science"=>2}, "Unspecified"=>{"Unspecified"=>3}, "Chemical Engineering"=>{"Chemical Engineering"=>1}}, "reader_count_by_country"=>{"Austria"=>1, "United States"=>2, "Japan"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1261159"], "description"=>"<p>(<b>A</b>) Amplitude-modulated (AM; left) and frequency-modulated (FM; right) narrow-band noise stimuli. Amplitude-modulated stimuli were characterized by sinusoidal fluctuations in amplitude over time (top left), but a flat frequency profile (bottom left). Frequency-modulated stimuli did not vary systematically in amplitude (top right), but were characterized by sinusoidal fluctuations in frequency over time (bottom right). (<b>B</b>) Output from an idealized cochlear-filter model for an exemplary AM (left) and FM (right) stimulus; both exemplary stimuli had 1000-Hz center frequency. The filter output for the AM stimulus was taken from the filter centered on 1125 Hz, and the filter output for the FM stimulus was taken from the filter centered on 875 Hz. Top panels show the amplitude envelope of the filter output, while bottom panels show spectral amplitude as a function of frequency resulting from an FFT. </p>", "links"=>[], "tags"=>["cochlear"], "article_id"=>834780, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Molly J. Henry", "Jonas Obleser"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078758.g001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Stimulus_acoustics_and_cochlear_filter_output_/834780", "title"=>"<i>Stimulus acoustics</i> and cochlear filter output.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-29 03:44:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/1261160"], "description"=>"<p>(<b>A</b>) Amplitude spectra as a function of frequency for AM (left, green) and FM (right, purple), averaged over participants. Solid colored lines show amplitude spectra resulting from phase-aligned trials, while dotted gray lines show amplitude spectra resulting from random-phase trials. Amplitudes are averaged over electrodes within an 18-electrode cluster of interest (see Methods). Inserted topographies show spectral amplitude at 3 Hz and 6 Hz. (<b>B</b>) FM spectral amplitude for individual participants (averaged over the same electrodes as in A) as a function of AM spectral amplitude, shown for 3 Hz (o’s) and 6 Hz (×’s). (<b>C</b>) Phase delays with respect to the full-band stimulus envelope of AM (green) and FM (purple) stimuli. Individual data points correspond to individual participant values, averaged over center frequencies and electrodes. (<b>D</b>) Classifier accuracy (proportion of correctly classified trials, PC) for phase time series (left) and amplitude time series (right). Dark gray bars correspond to classification based on only 3-Hz information, while light gray bars correspond to classification based on information in the 2–9 Hz frequency range. The horizontal dotted line corresponds to chance classification performance (PC = .50). Error bars denote standard error of the mean.</p>", "links"=>[], "tags"=>["neural", "responses", "am"], "article_id"=>834781, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Molly J. Henry", "Jonas Obleser"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078758.g002", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dissociable_neural_responses_to_AM_and_FM_/834781", "title"=>"Dissociable neural responses to AM and FM.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-29 03:44:35"}

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