Task-Related Suppression of the Brainstem Frequency following Response
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{"title"=>"Task-Related Suppression of the Brainstem Frequency following Response", "type"=>"journal", "authors"=>[{"first_name"=>"W. David", "last_name"=>"Hairston", "scopus_author_id"=>"6506531601"}, {"first_name"=>"Tomasz R.", "last_name"=>"Letowski", "scopus_author_id"=>"7004183065"}, {"first_name"=>"Kaleb", "last_name"=>"McDowell", "scopus_author_id"=>"7004559183"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"23441150", "doi"=>"10.1371/journal.pone.0055215", "sgr"=>"84874134014", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "scopus"=>"2-s2.0-84874134014", "issn"=>"19326203", "pui"=>"368381766"}, "id"=>"92ce2f22-e4d4-3bac-86a0-3a85963652db", "abstract"=>"Recent evidence has shown top-down modulation of the brainstem frequency following response (FFR), generally in the form of signal enhancement from concurrent stimuli or from switching between attention-demanding task stimuli. However, it is also possible that the opposite may be true--the addition of a task, instead of a resting, passive state may suppress the FFR. Here we examined the influence of a subsequent task, and the relevance of the task modality, on signal clarity within the FFR. Participants performed visual and auditory discrimination tasks in the presence of an irrelevant background sound, as well as a baseline consisting of the same background stimuli in the absence of a task. FFR pitch strength and amplitude of the primary frequency response were assessed within non-task stimulus periods in order to examine influences due solely to general cognitive state, independent of stimulus-driven effects. Results show decreased signal clarity with the addition of a task, especially within the auditory modality. We additionally found consistent relationships between the extent of this suppressive effect and perceptual measures such as response time and proclivity towards one sensory modality. Together these results suggest that the current focus of attention can have a global, top-down effect on the quality of encoding early in the auditory pathway.", "link"=>"http://www.mendeley.com/research/taskrelated-suppression-brainstem-frequency-following-response", "reader_count"=>56, "reader_count_by_academic_status"=>{"Unspecified"=>7, "Professor > Associate Professor"=>4, "Student > Doctoral Student"=>4, "Researcher"=>5, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>1, "Student > Master"=>6, "Other"=>3, "Student > Bachelor"=>10, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>7, "Professor > Associate Professor"=>4, "Student > Doctoral Student"=>4, "Researcher"=>5, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>1, "Student > Master"=>6, "Other"=>3, "Student > Bachelor"=>10, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>14, "Engineering"=>4, "Agricultural and Biological Sciences"=>8, "Medicine and Dentistry"=>10, "Neuroscience"=>5, "Psychology"=>12, "Social Sciences"=>1, "Computer Science"=>1, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>4}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>10}, "Neuroscience"=>{"Neuroscience"=>5}, "Social Sciences"=>{"Social Sciences"=>1}, "Psychology"=>{"Psychology"=>12}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>8}, "Computer Science"=>{"Computer Science"=>1}, "Linguistics"=>{"Linguistics"=>1}, "Unspecified"=>{"Unspecified"=>14}}, "reader_count_by_country"=>{"United States"=>1, "United Kingdom"=>1}, "group_count"=>4}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/487081"], "description"=>"<p>Subjects responded faster (lower median response times) and more consistently (lower mean within-subject variance) with visual than auditory task stimuli (<b>A</b>). Error bars depict standard error across subjects. There was a high correlation across subjects' response times between the two tasks (r = 0.883, p<.05) such that subjects with longer responses during the visual task also tended to take longer to respond with auditory targets as well (<b>B</b>). The shaded area emphases how this relative difference increases consistently across subjects.</p>", "links"=>[], "tags"=>["sensory"], "article_id"=>157613, "categories"=>["Physiology", "Neuroscience"], "users"=>["W. David Hairston", "Tomasz R. Letowski", "Kaleb McDowell"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055215.g004", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Response_time_per_sensory_modality_/157613", "title"=>"Response time per sensory modality.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 15:13:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/486993"], "description"=>"<p>The strongest response occurs primarily within the 220 Hz frequency range, although a short broadboand response is seen at onset and offset in the response spectrogram (<b>A</b>). Differences across conditions were limited to only the primary frequency. Dashed lines represent time and frequency periods used for ANOVA; 100–200 Hz (yellow), 210–230 Hz (target range, orange), 240–400 Hz (yellow), and 553–613 Hz (green), pre- and post-stimulus onset. (<b>B</b>) shows group average autocorrelelograms reflecting the highly consistent response with this stimulus.</p>", "links"=>[], "tags"=>["time-frequency", "plots"], "article_id"=>157516, "categories"=>["Physiology", "Neuroscience"], "users"=>["W. David Hairston", "Tomasz R. Letowski", "Kaleb McDowell"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055215.g003", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fourier_time_frequency_plots_for_each_of_the_primary_conditions_/157516", "title"=>"Fourier time-frequency plots for each of the primary conditions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 15:13:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/487142"], "description"=>"<p>Temporal thresholds for each modality derived prior to the study (via staircase procedure) show no systematic relationship across subjects (<b>A</b>). Shaded areas represent whether a subject shows more temporal acuity in the visual (blue) or auditory (green) domain. There is, however, a high correlation between the amount of sensory bias (difference between visual and auditory thresholds) observed and reaction time differences across subjects (<b>B</b>).</p>", "links"=>[], "tags"=>["thresholds"], "article_id"=>157670, "categories"=>["Physiology", "Neuroscience"], "users"=>["W. David Hairston", "Tomasz R. Letowski", "Kaleb McDowell"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055215.g005", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Temporal_thresholds_and_the_relation_to_RT_/157670", "title"=>"Temporal thresholds and the relation to RT.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 15:13:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/486840"], "description"=>"<p>Non-task relevant ABR-eliciting stimuli per presented every 455 ms, with task target stimuli occurring asynchronously, randomly presented (6750 ms mean ISI). Only background tones falling between task stimuli (shaded area) were used in the analysis.</p>", "links"=>[], "tags"=>["physiology", "neuroscience"], "article_id"=>157358, "categories"=>["Physiology", "Neuroscience"], "users"=>["W. David Hairston", "Tomasz R. Letowski", "Kaleb McDowell"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055215.g001", "stats"=>{"downloads"=>2, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_experimental_paradigm_/157358", "title"=>"The experimental paradigm.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 15:12:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/487197"], "description"=>"<p>Subjects with higher pitch strength (<b>A</b>) and higher target frequency response amplitude (<b>B</b>) also showed the greatest response time difference (increasingly negative values) when comparing auditory and visual performance. Dashed lines connect each subject's data for the three conditions. This relationship between RT and each FFR metric is consistent regardless of which task (<i>auditory</i>, <i>visual</i>, or <i>no-task</i>, see table in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055215#pone-0055215-g006\" target=\"_blank\">Figure 6</a>, <b>C</b>) subjects were performing at the time (similarity of dotted line in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055215#pone-0055215-g006\" target=\"_blank\">Figure 6</a>) Table lists correlation coefficients between response times (columns) and each of the two FFR metrics (rows), as observed within each of the three recording conditions (A = Auditory, V = Visual, N = No task). Highlighted values depict correlations significant at p<.05.</p>", "links"=>[], "tags"=>["changes", "ffr"], "article_id"=>157724, "categories"=>["Physiology", "Neuroscience"], "users"=>["W. David Hairston", "Tomasz R. Letowski", "Kaleb McDowell"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055215.g006", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_RT_changes_relative_to_each_FFR_metric_/157724", "title"=>"RT changes relative to each FFR metric.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 15:14:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/487255"], "description"=>"<p>The degree of subjects' sensory bias significantly predicts auditory task-related suppression in primary FFR frequency amplitude (relative to no task), such that those subjects that are more highly acute in the auditory domain show minimal or no suppression. Meanwhile, those whom display less bias or a proclivity more towards vision appear more susceptible to the suppressive effect. A similar trend occurs when comparing auditory against visual tasks, but not for visual above baseline, as well as with FFR pitch strength as the metric.</p>", "links"=>[], "tags"=>["sensory"], "article_id"=>157783, "categories"=>["Physiology", "Neuroscience"], "users"=>["W. David Hairston", "Tomasz R. Letowski", "Kaleb McDowell"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055215.g007", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_FFR_change_related_to_sensory_bias_/157783", "title"=>"FFR change related to sensory bias.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 15:14:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/486887"], "description"=>"<p>Pitch strength significantly decreased for both <i>visual</i> and <i>auditory</i> tasks (<b>A</b>) relative to baseline (no task). In addition, average signal amplitude within the target frequency (220 Hz) decreased for auditory, but not visual tasks (<b>B</b>). Error bars represent standard error across subjects Asterisks on right denote significant (p<.05) differences. Note that only background stimuli not overlapping with the task and identical in all conditions were used in this analysis, suggesting a tonic suppression of background auditory signals that may be greater when also performing an auditory task.</p>", "links"=>[], "tags"=>["metrics"], "article_id"=>157427, "categories"=>["Physiology", "Neuroscience"], "users"=>["W. David Hairston", "Tomasz R. Letowski", "Kaleb McDowell"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055215.g002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_FFR_metrics_for_each_task_type_/157427", "title"=>"FFR metrics for each task type.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 15:12:26"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}

Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Biology and life sciences/Anatomy and physiology", "average_usage"=>[256, 428]}, {"subject_area"=>"/Biology and life sciences/Neuroscience", "average_usage"=>[261, 444, 554, 655, 748, 834, 923, 1004, 1089, 1170, 1244, 1315, 1380]}, {"subject_area"=>"/Computer and information sciences/Systems science", "average_usage"=>[271, 427, 520, 640, 714, 773, 841, 899, 961, 1057, 1131, 1229, 1280, 1364]}, {"subject_area"=>"/Medicine and health sciences", "average_usage"=>[264, 460, 584, 692, 794, 887, 978, 1067, 1154, 1241, 1328, 1408, 1474]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[259, 431, 541, 639, 727, 816, 898, 980, 1061, 1136, 1214, 1294, 1356]}, {"subject_area"=>"/Physical sciences/Physics", "average_usage"=>[254, 421, 527, 626, 720, 813, 900, 983, 1063, 1136, 1210, 1283, 1342]}, {"subject_area"=>"/Social sciences", "average_usage"=>[289, 475, 593, 703, 805, 902, 990, 1078, 1158, 1250, 1336, 1417, 1482]}]}
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