Reduced Variability of Ongoing and Evoked Cortical Activity Leads to Improved Behavioral Performance
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{"title"=>"Reduced variability of ongoing and evoked cortical activity leads to improved behavioral performance", "type"=>"journal", "authors"=>[{"first_name"=>"Anders", "last_name"=>"Ledberg", "scopus_author_id"=>"6602403928"}, {"first_name"=>"Anna", "last_name"=>"Montagnini", "scopus_author_id"=>"23028243000"}, {"first_name"=>"Richard", "last_name"=>"Coppola", "scopus_author_id"=>"7101902889"}, {"first_name"=>"Steven L.", "last_name"=>"Bressler", "scopus_author_id"=>"55403619000"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84865298110", "doi"=>"10.1371/journal.pone.0043166", "issn"=>"19326203", "pui"=>"365489832", "isbn"=>"1932-6203", "pmid"=>"22937021", "scopus"=>"2-s2.0-84865298110"}, "id"=>"40bdf190-88b0-3dc2-a86c-a4100c931ae8", "abstract"=>"Sensory responses of the brain are known to be highly variable, but the origin and functional relevance of this variability have long remained enigmatic. Using the variable foreperiod of a visual discrimination task to assess variability in the primate cerebral cortex, we report that visual evoked response variability is not only tied to variability in ongoing cortical activity, but also predicts mean response time. We used cortical local field potentials, simultaneously recorded from widespread cortical areas, to gauge both ongoing and visually evoked activity. Trial-to-trial variability of sensory evoked responses was strongly modulated by foreperiod duration and correlated both with the cortical variability before stimulus onset as well as with response times. In a separate set of experiments we probed the relation between small saccadic eye movements, foreperiod duration and manual response times. The rate of eye movements was modulated by foreperiod duration and eye position variability was positively correlated with response times. Our results indicate that when the time of a sensory stimulus is predictable, reduction in cortical variability before the stimulus can improve normal behavioral function that depends on the stimulus.", "link"=>"http://www.mendeley.com/research/reduced-variability-ongoing-evoked-cortical-activity-leads-improved-behavioral-performance", "reader_count"=>40, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>4, "Librarian"=>1, "Researcher"=>11, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>2, "Student > Master"=>3, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>4, "Librarian"=>1, "Researcher"=>11, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>2, "Student > Master"=>3, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Medicine and Dentistry"=>4, "Agricultural and Biological Sciences"=>14, "Neuroscience"=>6, "Psychology"=>7, "Computer Science"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Neuroscience"=>{"Neuroscience"=>6}, "Psychology"=>{"Psychology"=>7}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>14}, "Computer Science"=>{"Computer Science"=>3}, "Unspecified"=>{"Unspecified"=>6}}, "reader_count_by_country"=>{"Canada"=>2, "United States"=>2, "France"=>1, "Spain"=>1}, "group_count"=>6}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/586624"], "description"=>"<p>(<b>A</b>) Single-trial variability of the prestimulus LFP versus single-trial variability of the evoked response. The points correspond to single-trial data from one site (E) in subject T. The solid line shows the best linear fit. The linear correlation highly significant (). (<b>B</b>) The histogram shows the distribution of mean partial correlation coefficients between prestimulus and evoked variability for all the sites in the two subjects having significantly modulated evoked variability. The dotted line marks the level at which the mean partial correlation coefficients are significantly different from zero ( corrected for multiple comparisons). The cortical map shows the site locations in tones (black or gray) corresponding to those in the histogram.</p>", "links"=>[], "tags"=>["evoked", "correlated", "prestimulus"], "article_id"=>257118, "categories"=>["Physiology", "Biological Sciences", "Neuroscience", "Mental Health"], "users"=>["Anders Ledberg", "Anna Montagnini", "Richard Coppola", "Steven L. Bressler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0043166.g003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variability_in_the_evoked_response_is_correlated_with_prestimulus_variability_/257118", "title"=>"Variability in the evoked response is correlated with prestimulus variability.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-24 01:58:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/586684"], "description"=>"<p>(<b>A</b>) Mean response times for the two subjects as a function of fp duration (solid lines). Error bars show the standard errors. (<b>B</b>) Single-trial response times versus VEP variability estimate for one recording site in subject T. Solid line shows best linear fit. Inset show the sites that had a significant correlation between VEP variability and response time (, corrected for multiple comparisons). The black dot in the cortical map indicates the site corresponding to the scatter plot.</p>", "links"=>[], "tags"=>["correlated", "foreperiod", "duration", "vep"], "article_id"=>257178, "categories"=>["Physiology", "Biological Sciences", "Neuroscience", "Mental Health"], "users"=>["Anders Ledberg", "Anna Montagnini", "Richard Coppola", "Steven L. Bressler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0043166.g004", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Response_time_is_is_correlated_with_foreperiod_fp_duration_and_VEP_variability_/257178", "title"=>"Response time is is correlated with foreperiod (fp) duration and VEP variability.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-24 01:59:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/308180"], "description"=>"<div><p>Sensory responses of the brain are known to be highly variable, but the origin and functional relevance of this variability have long remained enigmatic. Using the variable foreperiod of a visual discrimination task to assess variability in the primate cerebral cortex, we report that visual evoked response variability is not only tied to variability in ongoing cortical activity, but also predicts mean response time. We used cortical local field potentials, simultaneously recorded from widespread cortical areas, to gauge both ongoing and visually evoked activity. Trial-to-trial variability of sensory evoked responses was strongly modulated by foreperiod duration and correlated both with the cortical variability before stimulus onset as well as with response times. In a separate set of experiments we probed the relation between small saccadic eye movements, foreperiod duration and manual response times. The rate of eye movements was modulated by foreperiod duration and eye position variability was positively correlated with response times. Our results indicate that when the time of a sensory stimulus is predictable, reduction in cortical variability before the stimulus can improve normal behavioral function that depends on the stimulus.</p> </div>", "links"=>[], "tags"=>["reduced", "variability", "evoked", "cortical", "leads"], "article_id"=>120806, "categories"=>["Physiology", "Biological Sciences", "Neuroscience", "Mental Health"], "users"=>["Anders Ledberg", "Anna Montagnini", "Richard Coppola", "Steven L. Bressler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0043166", "stats"=>{"downloads"=>11, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Reduced_Variability_of_Ongoing_and_Evoked_Cortical_Activity_Leads_to_Improved_Behavioral_Performance/120806", "title"=>"Reduced Variability of Ongoing and Evoked Cortical Activity Leads to Improved Behavioral Performance", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-24 00:13:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/586384"], "description"=>"<p>(<b>A</b>) Outline of main components of the behavioral task. (<b>B</b>) Brain maps showing the approximate location of the recording sites for the two subjects. (<b>C</b>) 30 single-trial LFPs from one recording site (E in subject T) with foreperiod durations ms, LFP units arbitrary. (<b>D</b>) same as <b>C</b> but with foreperiods between 450 and 850 ms. (<b>E</b>) Sample variance (over trials) of the LFPs for the data shown in <b>C</b> and <b>D</b>. (<b>F</b>) LFP variability as a function of foreperiod duration for three example sites from subject T. The mean sample variance in a time-window indicated by the shaded box in <b>E</b> was calculated in 20 groups of trials sorted by foreperiod duration. The values are normalized to a maximum value of 1 for comparison between sites. Colored disks indicate the locations of the sites. (<b>G</b>) Rank correlations between VEP variability and foreperiod durations for all sites. Sites with significant correlations ( corrected for multiple comparisons) are shown in dark red both in the histogram and on the cortical map. (<b>H</b>) Noise correlations decrease with increasing foreperiod duration. Left panel shows how the VEP at one site (green color in panel <b>F</b>) depends on that of another site (blue color in panel <b>F</b>) for two groups of trials with different foreperiod duration (black dots: foreperiods ms; gray dots foreperiods ). Right panel shows how the noise correlations decrease as a function of foreperiod duration (calculations based on the same 20 groups of trials used in <b>F</b> and <b>G</b>).</p>", "links"=>[], "tags"=>["duration", "modulates", "trial-to-trial", "variability", "evoked"], "article_id"=>256875, "categories"=>["Physiology", "Biological Sciences", "Neuroscience", "Mental Health"], "users"=>["Anders Ledberg", "Anna Montagnini", "Richard Coppola", "Steven L. Bressler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0043166.g001", "stats"=>{"downloads"=>5, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Foreperiod_duration_modulates_trial_to_trial_variability_of_the_evoked_response_/256875", "title"=>"Foreperiod duration modulates trial-to-trial variability of the evoked response.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-24 01:54:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/586813"], "description"=>"<p>(<b>A</b>) Example showing that an increase in variability leads to a decrease in mutual information. Two stimuli (S1,S2) are presented with equal probability. This generates ‘sensory evidence’ () which is used to make the decision (here taken as a continuous one-dimensional variable). The variability in the ‘sensory evidence’ is illustrated by plotting the likelihood functions (black for S1, gray for S2). These functions are taken as normal distributions with a standard deviation of 0.5 (solid lines) or 1 (dotted lines). The inset shows how the mutual information depends on the standard deviation of the likelihood functions. (<b>B</b>) Illustration of a qualitative model of how mean response time depends on mutual information. At stimulus onset a decision variable starts moving towards a decision threshold (dashed line). The response time is the time between stimulus onset and reaching threshold. The mean rate of rise (slope) of the decision variable is a monotonously increasing function of the mutual information. The different slopes for ‘sensory evidence’ with low variance (solid line) compared to that with higher variance (dotted line) leads to different mean response times. (<b>C</b>) Variability at an extrastriate site in monkey T (black dot in in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0043166#pone-0043166-g004\" target=\"_blank\">Figure 4B</a>) can account for how mean response times depend on foreperiod duration. Variability of the VEP was converted to mutual information (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0043166#s4\" target=\"_blank\">Material and Methods</a>) and subsequently used to fit the mean response times.</p>", "links"=>[], "tags"=>["links", "variability", "sensory", "responses"], "article_id"=>257304, "categories"=>["Physiology", "Biological Sciences", "Neuroscience", "Mental Health"], "users"=>["Anders Ledberg", "Anna Montagnini", "Richard Coppola", "Steven L. Bressler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0043166.g006", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Phenomenological_model_links_variability_in_sensory_responses_to_response_time_/257304", "title"=>"Phenomenological model links variability in sensory responses to response time.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-24 02:01:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/586485"], "description"=>"<p>(<b>A</b>) Normalized variance of the prestimulus data as a function of foreperiod duration for the same three sites shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0043166#pone-0043166-g001\" target=\"_blank\">Figure 1F</a>. Same color code as in that figure. (<b>B</b>) Histogram showing correlation coefficients between prestimulus variance and foreperiod duration. Data from both monkeys. Sites with a significant ( corrected for multiple comparisons) negative correlation in dark red. Sites with a significant positive correlation in blue. Pink color signifies non-significant cases. The brain map to the right shows the corresponding locations. (<b>C</b>) Amplitude spectra as a function of foreperiod duration for three representative sites from monkey T. The different foreperiod groups are indicated by the color of the spectra according to the color bar in the mid-panel. The locations of the sites are shown by the three brain maps. (<b>D</b>) Scatter plots of the log average amplitudes for two groups of foreperiods (short ms; long ms). Each point of a particular color corresponds to a recording site. The different colors corresponds to frequencies according to the color bar shown. The area of a dot is proportional to the variability of the corresponding data. The black dotted line (the diagonal) shows the points where the amplitudes are the same for short and long foreperiods. That is, the further a point is from this line the larger is the dependence on foreperiod duration. In monkey T (to the left) three sites had amplitudes that increased as a function of foreperiod duration (see <b>B</b>). These sites corresponds to the points above the diagonal.</p>", "links"=>[], "tags"=>["prestimulus", "depends", "foreperiod"], "article_id"=>256978, "categories"=>["Physiology", "Biological Sciences", "Neuroscience", "Mental Health"], "users"=>["Anders Ledberg", "Anna Montagnini", "Richard Coppola", "Steven L. Bressler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0043166.g002", "stats"=>{"downloads"=>1, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variability_of_prestimulus_activity_depends_on_foreperiod_duration_/256978", "title"=>"Variability of prestimulus activity depends on foreperiod duration.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-24 01:56:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/586750"], "description"=>"<p>(<b>A</b>) Mean response times as a function of foreperiod duration. Error bars show standard errors. (<b>B</b>) Rate of small saccades in a 200 ms window immediately preceding stimulus onset. Error bars show standard errors.</p>", "links"=>[], "tags"=>["movements", "modulated", "foreperiod"], "article_id"=>257247, "categories"=>["Physiology", "Biological Sciences", "Neuroscience", "Mental Health"], "users"=>["Anders Ledberg", "Anna Montagnini", "Richard Coppola", "Steven L. Bressler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0043166.g005", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Rate_of_small_eye_movements_is_modulated_by_foreperiod_duration_/257247", "title"=>"Rate of small eye movements is modulated by foreperiod duration.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-24 02:00:47"}

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  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}

Relative Metric

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