Cortical Response Similarities Predict which Audiovisual Clips Individuals Viewed, but Are Unrelated to Clip Preference
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{"title"=>"Cortical response similarities predict which audiovisual clips individuals viewed, but are unrelated to clip preference", "type"=>"journal", "authors"=>[{"first_name"=>"David A.", "last_name"=>"Bridwell", "scopus_author_id"=>"16678538400"}, {"first_name"=>"Cullen", "last_name"=>"Roth", "scopus_author_id"=>"55783195300"}, {"first_name"=>"Cota Navin", "last_name"=>"Gupta", "scopus_author_id"=>"56151147400"}, {"first_name"=>"Vince D.", "last_name"=>"Calhoun", "scopus_author_id"=>"7003595227"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"10.1371/journal.pone.0128833", "pui"=>"604923029", "issn"=>"19326203", "pmid"=>"26030422", "doi"=>"10.1371/journal.pone.0128833", "sgr"=>"84933059647", "scopus"=>"2-s2.0-84933059647"}, "id"=>"db190b3d-e279-3622-b028-bd500db681da", "abstract"=>"Cortical responses to complex natural stimuli can be isolated by examining the relationship between neural measures obtained while multiple individuals view the same stimuli. These inter-subject correlation's (ISC's) emerge from similarities in individual's cortical response to the shared audiovisual inputs, which may be related to their emergent cognitive and perceptual experience. Within the present study, our goal is to examine the utility of using ISC's for predicting which audiovisual clips individuals viewed, and to examine the relationship between neural responses to natural stimuli and subjective reports. The ability to predict which clips individuals viewed depends on the relationship of the EEG response across subjects and the nature in which this information is aggregated. We conceived of three approaches for aggregating responses, i.e. three assignment algorithms, which we evaluated in Experiment 1A. The aggregate correlations algorithm generated the highest assignment accuracy (70.83% chance = 33.33%) and was selected as the assignment algorithm for the larger sample of individuals and clips within Experiment 1B. The overall assignment accuracy was 33.46% within Experiment 1B (chance = 06.25%), with accuracies ranging from 52.9% (Silver Linings Playbook) to 11.75% (Seinfeld) within individual clips. ISC's were significantly greater than zero for 15 out of 16 clips, and fluctuations within the delta frequency band (i.e. 0-4 Hz) primarily contributed to response similarities across subjects. Interestingly, there was insufficient evidence to indicate that individuals with greater similarities in clip preference demonstrate greater similarities in cortical responses, suggesting a lack of association between ISC and clip preference. Overall these results demonstrate the utility of using ISC's for prediction, and further characterize the relationship between ISC magnitudes and subjective reports.", "link"=>"http://www.mendeley.com/research/cortical-response-similarities-predict-audiovisual-clips-individuals-viewed-unrelated-clip-preferenc", "reader_count"=>18, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Researcher"=>3, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Researcher"=>3, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Engineering"=>1, "Agricultural and Biological Sciences"=>1, "Arts and Humanities"=>1, "Neuroscience"=>5, "Business, Management and Accounting"=>1, "Physics and Astronomy"=>1, "Psychology"=>3, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Neuroscience"=>{"Neuroscience"=>5}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"France"=>1, "Australia"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2091464"], "description"=>"<p>Filmography: Detailed information about the video clips displayed within the main experiment.</p>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433325, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128833.t002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Filmography_Detailed_information_about_the_video_clips_displayed_within_the_main_experiment_/1433325", "title"=>"Filmography: Detailed information about the video clips displayed within the main experiment.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-06-01 04:54:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2091463"], "description"=>"<p>Filmography: Detailed information about the video clips displayed within the algorithm selection sessions.</p>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433324, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128833.t001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Filmography_Detailed_information_about_the_video_clips_displayed_within_the_algorithm_selection_sessions_/1433324", "title"=>"Filmography: Detailed information about the video clips displayed within the algorithm selection sessions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-06-01 04:54:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2091460"], "description"=>"<p>The assignment accuracy is indicated for each clip. The clips are organized with the highest (top) to lowest assignment accuracies. The white line indicates chance assignment accuracy (06.25%).</p>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433321, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128833.g005", "stats"=>{"downloads"=>2, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Assignment_accuracy_for_each_clip_/1433321", "title"=>"Assignment accuracy for each clip.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 04:54:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2091459"], "description"=>"<p>Similarities in preference (x-axis) (the Spearman’s rho between clip rankings for each subject pair) are plotted against similarities in delta EEG responses (y-axis) (represented by the average ISC). There was insufficient evidence of a relationship among clip preference and ISC’s (r(135) = -0.08; p = 0.34).</p>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433320, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128833.g004", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Preference_and_delta_ISC_8217_s_/1433320", "title"=>"Preference and delta ISC’s.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 04:54:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2091457"], "description"=>"<p>ISC’s were calculated across all unique subject pairs and electrodes. The ISC's were averaged across all electrodes and subject pairs for each individual. The distribution of individual average ISC’s are indicated in each boxplot, separately for each clip. The boxplots are organized with the highest average ISC’s on top and the lowest ISC’s on bottom. ISC’s were greater than zero (permutation test: p < 0.0028) for 15 out of 16 clips. Within each boxplot, the upper and lower bars indicate the maximum and minimum data points, respectively. The red bar spans the first (lower) and third (upper) quartiles. The solid line indicates the median and the circle indicates the mean.</p>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433318, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128833.g003", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_average_ISC_for_each_video_clip_/1433318", "title"=>"The average ISC for each video clip.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 04:54:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2091454"], "description"=>"<p>Individual [channel × time] segments were assigned to one of the video clips using the separate time series approach (a), the aggregate time series approach (b) or the aggregate correlations approach (c). Within (a), electrode-wise correlations are computed between the <i>withheld segment</i> and the <i>reference segments</i> (i.e. the segments recorded within all other sessions and clips). The reference segment which contributes to the highest correlation was identified, and the clip that corresponds to that segment was assigned to the withheld segment. Within b, the reference segments are averaged electrode-wise across identical clips prior to computing correlations, and within c, the electrode-wise correlations are averaged across sessions that correspond to the same clip. The clips are assigned in the same manner as a. The process is repeated using each segment as the withheld segment, generating an assignment for every segment. These approaches emphasize different aspects of similarities across subjects, where (a) is advantageous in instances where only a subset of subjects demonstrate a similar response on a given clip, (b) is advantageous in instances where subjects demonstrate similar cortical responses within a clip, and when these similarities would be obscured when averaging across time series (as in c). C preserves the similarities in the time series across individuals, and is thus advantageous when the majority of individual’s demonstrate similar responses to the clips, and averaging time series enhances these similarities (i.e. the signal).</p>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433315, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128833.g001", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Three_assignment_algorithms_/1433315", "title"=>"Three assignment algorithms.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 04:54:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2091465", "https://ndownloader.figshare.com/files/2091466"], "description"=>"<div><p>Cortical responses to complex natural stimuli can be isolated by examining the relationship between neural measures obtained while multiple individuals view the same stimuli. These inter-subject correlation’s (ISC’s) emerge from similarities in individual’s cortical response to the shared audiovisual inputs, which may be related to their emergent cognitive and perceptual experience. Within the present study, our goal is to examine the utility of using ISC’s for predicting which audiovisual clips individuals viewed, and to examine the relationship between neural responses to natural stimuli and subjective reports. The ability to predict which clips individuals viewed depends on the relationship of the EEG response across subjects and the nature in which this information is aggregated. We conceived of three approaches for aggregating responses, i.e. three assignment algorithms, which we evaluated in Experiment 1A. The aggregate correlations algorithm generated the highest assignment accuracy (70.83% chance = 33.33%) and was selected as the assignment algorithm for the larger sample of individuals and clips within Experiment 1B. The overall assignment accuracy was 33.46% within Experiment 1B (chance = 06.25%), with accuracies ranging from 52.9% (<i>Silver Linings Playbook</i>) to 11.75% (<i>Seinfeld</i>) within individual clips. ISC’s were significantly greater than zero for 15 out of 16 clips, and fluctuations within the delta frequency band (i.e. 0-4 Hz) primarily contributed to response similarities across subjects. Interestingly, there was insufficient evidence to indicate that individuals with greater similarities in clip preference demonstrate greater similarities in cortical responses, suggesting a lack of association between ISC and clip preference. Overall these results demonstrate the utility of using ISC’s for prediction, and further characterize the relationship between ISC magnitudes and subjective reports.</p></div>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433326, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0128833.s001", "https://dx.doi.org/10.1371/journal.pone.0128833.s002"], "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cortical_Response_Similarities_Predict_which_Audiovisual_Clips_Individuals_Viewed_but_Are_Unrelated_to_Clip_Preference_/1433326", "title"=>"Cortical Response Similarities Predict which Audiovisual Clips Individuals Viewed, but Are Unrelated to Clip Preference", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-06-01 04:54:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2091461"], "description"=>"<p>The assignment accuracy was examined within the data collected in the main experiment using N = 1, 2, 3, … 16 subjects as reference. The assignment accuracy was 33.46% (chance = 06.25%, solid black line) when all 16 subjects were used as reference. The shaded area represents the standard deviation of assignment accuracies observed with repeated assignments (i.e. across the assignments generated with all unique combinations of subjects drawn from the sample of 16).</p>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433322, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128833.g006", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Assignment_accuracy_as_a_function_of_the_number_of_subjects_/1433322", "title"=>"Assignment accuracy as a function of the number of subjects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 04:54:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2091455"], "description"=>"<p>The average ISC was calculated for each individual across matching clips (in red) and non-matching clips (in black) across all unique subject pairs and electrodes. The distribution of individual ISC’s are indicated when computed from the full spectrum (i.e. 0–50 Hz), and when computed from signals wavelet filtered within the ~0–4 Hz, 4–8 Hz, 8–16 Hz, 16–32 Hz, and 32–48 Hz frequency bands. The upper and lower bars indicate the maximum and minimum data points, respectively. The red bar spans the first (lower) and third (upper) quartiles. The solid line indicates the median and the circle indicates the mean.</p>", "links"=>[], "tags"=>["similarity", "Clip Preference Cortical responses", "delta frequency band", "Audiovisual Clips Individuals", "Silver Linings Playbook", "eeg", "clips individuals", "isc", "relationship", "clip preference", "Cortical Response Similarities Predict", "Experiment 1 B", "assignment", "algorithm", "stimuli"], "article_id"=>1433316, "categories"=>["Biological Sciences"], "users"=>["David A. Bridwell", "Cullen Roth", "Cota Navin Gupta", "Vince D. Calhoun"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128833.g002", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Average_ISC_8217_s_within_different_frequencies_/1433316", "title"=>"Average ISC’s within different frequencies.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 04:54:42"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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