Neural Activity during Natural Viewing of Sesame Street Statistically Predicts Test Scores in Early Childhood
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{"title"=>"Neural Activity during Natural Viewing of Sesame Street Statistically Predicts Test Scores in Early Childhood", "type"=>"journal", "authors"=>[{"first_name"=>"Jessica F.", "last_name"=>"Cantlon", "scopus_author_id"=>"9436360900"}, {"first_name"=>"Rosa", "last_name"=>"Li", "scopus_author_id"=>"55974488300"}], "year"=>2013, "source"=>"PLoS Biology", "identifiers"=>{"sgr"=>"84873878986", "doi"=>"10.1371/journal.pbio.1001462", "pui"=>"368227035", "pmid"=>"23300385", "scopus"=>"2-s2.0-84873878986", "issn"=>"15449173", "isbn"=>"1545-7885"}, "id"=>"677e1423-6638-3b92-90f1-045c49c09b63", "abstract"=>"It is not currently possible to measure the real-world thought process that a child has while observing an actual school lesson. However, if it could be done, children's neural processes would presumably be predictive of what they know. Such neural measures would shed new light on children's real-world thought. Toward that goal, this study examines neural processes that are evoked naturalistically, during educational television viewing. Children and adults all watched the same Sesame Street video during functional magnetic resonance imaging (fMRI). Whole-brain intersubject correlations between the neural timeseries from each child and a group of adults were used to derive maps of \"neural maturity\" for children. Neural maturity in the intraparietal sulcus (IPS), a region with a known role in basic numerical cognition, predicted children's formal mathematics abilities. In contrast, neural maturity in Broca's area correlated with children's verbal abilities, consistent with prior language research. Our data show that children's neural responses while watching complex real-world stimuli predict their cognitive abilities in a content-specific manner. This more ecologically natural paradigm, combined with the novel measure of \"neural maturity,\" provides a new method for studying real-world mathematics development in the brain.", "link"=>"http://www.mendeley.com/research/neural-activity-during-natural-viewing-sesame-street-statistically-predicts-test-scores-early-childh", "reader_count"=>193, "reader_count_by_academic_status"=>{"Unspecified"=>7, "Professor > Associate Professor"=>11, "Librarian"=>1, "Researcher"=>46, "Student > Doctoral Student"=>10, "Student > Ph. D. Student"=>44, "Student > Postgraduate"=>8, "Other"=>3, "Student > Master"=>25, "Student > Bachelor"=>19, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>3, "Professor"=>15}, "reader_count_by_user_role"=>{"Unspecified"=>7, "Professor > Associate Professor"=>11, "Librarian"=>1, "Researcher"=>46, "Student > Doctoral Student"=>10, "Student > Ph. D. Student"=>44, "Student > Postgraduate"=>8, "Other"=>3, "Student > Master"=>25, "Student > Bachelor"=>19, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>3, "Professor"=>15}, "reader_count_by_subject_area"=>{"Unspecified"=>19, "Agricultural and Biological Sciences"=>27, "Arts and Humanities"=>1, "Chemistry"=>2, "Computer Science"=>4, "Economics, Econometrics and Finance"=>1, "Engineering"=>1, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>3, "Medicine and Dentistry"=>10, "Neuroscience"=>15, "Physics and Astronomy"=>2, "Psychology"=>89, "Social Sciences"=>16, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>10}, "Social Sciences"=>{"Social Sciences"=>16}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Psychology"=>{"Psychology"=>89}, "Mathematics"=>{"Mathematics"=>3}, "Unspecified"=>{"Unspecified"=>19}, "Environmental Science"=>{"Environmental Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Engineering"=>{"Engineering"=>1}, "Chemistry"=>{"Chemistry"=>2}, "Neuroscience"=>{"Neuroscience"=>15}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>27}, "Computer Science"=>{"Computer Science"=>4}, "Linguistics"=>{"Linguistics"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"Republic of Singapore"=>1, "Canada"=>7, "United States"=>9, "Finland"=>1, "Brazil"=>1, "United Kingdom"=>2, "France"=>2, "Switzerland"=>1, "Portugal"=>1, "Germany"=>3, "Spain"=>1}, "group_count"=>13}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/513113"], "description"=>"<p>(A) IPS regions that exhibited a correlation between children's natural viewing neural maturity and math IQ test score also exhibited a selective response to numerical stimuli compared to face, shape, and word stimuli in a traditional fMRI paradigm. (B) And vice versa, IPS regions that exhibited a significantly greater response to the numerical stimuli in a traditional fMRI paradigm in children (numbers > faces + words + shapes, FDR corrected, <i>p</i><0.05) also exhibited a significant correlation between children's neural maturity from the natural viewing paradigm and their mathematics test scores (TEMA-3).</p>", "links"=>[], "tags"=>["neuroscience"], "article_id"=>183617, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.g007", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cross_comparison_of_natural_viewing_and_traditional_task_results_/183617", "title"=>"Cross-comparison of natural viewing and traditional task results.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-03 01:00:17"}
  • {"files"=>["https://ndownloader.figshare.com/files/513221"], "description"=>"<p>The statistical thresholds and parameter ranges are the same as in the original figures: <a href=\"http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001462#pbio-1001462-g002\" target=\"_blank\">Figures 2A</a> and <a href=\"http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001462#pbio-1001462-g007\" target=\"_blank\">7B</a>.</p>", "links"=>[], "tags"=>["overlap", "ips", "activation", "math-related", "number-related"], "article_id"=>183715, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.g008", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Illustration_of_overlap_in_IPS_activation_between_the_math_related_activation_from_the_natural_viewing_task_from_Figure_2A_and_the_number_related_activation_from_the_traditional_task_from_Figure_7B_/183715", "title"=>"Illustration of overlap in IPS activation between the math-related activation from the natural viewing task (from <b>Figure 2A</b>) and the number-related activation from the traditional task (from <b>Figure 7B</b>).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-03 01:01:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/513278"], "description"=>"<p>BA, Brodmann's area.</p>", "links"=>[], "tags"=>["correlations", "factors"], "article_id"=>183780, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.t001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regions_showing_correlations_between_8220_neural_maturity_8221_and_the_factors_of_age_verbal_score_and_math_score_in_children_/183780", "title"=>"Regions showing correlations between “neural maturity” and the factors of age, verbal score, and math score in children.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-01-03 01:03:00"}
  • {"files"=>["https://ndownloader.figshare.com/files/512990"], "description"=>"<p>In the top panel, intersubject correlations were calculated between each subject and the group mean (never including a subject's own data in the group mean for adult-to-adult correlations). In the bottom panel, the chart presents the correlation values when the correlation is calculated over the group mean timecourses for each region. The correlations were calculated across the 609 timepoints shown in <a href=\"http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001462#pbio-1001462-g003\" target=\"_blank\">Figures 3</a> and <a href=\"http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001462#pbio-1001462-g004\" target=\"_blank\">4</a>.</p>", "links"=>[], "tags"=>["intersubject", "adults-to-adults", "children-to-adults", "rois"], "article_id"=>183484, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.g005", "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Average_intersubject_correlation_for_adults_to_adults_and_children_to_adults_in_each_of_the_three_ROIs_from_Figure_2_right_IPS_left_IPS_and_Broca_s_area_/183484", "title"=>"Average intersubject correlation for adults-to-adults and children-to-adults in each of the three ROIs from <b>Figure 2</b>: right IPS, left IPS, and Broca's area.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-03 00:58:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/512677"], "description"=>"<p>(A) Children's intersubject correlation to adults in the IPS bilaterally predicts their performance on a mathematics IQ test (TEMA), independently of their KBIT IQ test performance (whole brain analysis, cluster corrected at <i>p</i><0.05, minimum 88 voxels). The figure shows regions that emerged from the whole brain correlation (top) and the mean correlation across the left and right IPS clusters (bottom). (B) Children's neural maturity in the left inferior frontal gyrus (Broca's area) predicts their performance on the KBIT verbal IQ test after regressing out their mathematics performance (TEMA). The top panel shows the results of the whole brain analysis (whole brain analysis, cluster corrected at <i>p</i><0.05, minimum 65 voxels). The bottom panel shows the mean correlation across the Broca's area cluster to illustrate individual subject data.</p>", "links"=>[], "tags"=>["neural", "maturity"], "article_id"=>183175, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.g002", "stats"=>{"downloads"=>3, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Whole_brain_correlation_of_natural_viewing_neural_maturity_and_test_scores_/183175", "title"=>"Whole-brain correlation of natural viewing neural maturity and test scores.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-03 00:52:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/513058"], "description"=>"<p>Percent signal change in the right IPS is significantly higher for the numerical content than the non-numerical content. The left IPS shows a marginally non-significant trend toward higher activation during numerical content than non-numerical content. Broca's area shows no difference between the numerical and non-numerical content.</p>", "links"=>[], "tags"=>["numerical", "non-numerical", "adults"], "article_id"=>183561, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.g006", "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percent_signal_change_for_the_numerical_content_versus_the_non_numerical_content_of_the_natural_viewing_video_in_adults_and_children_/183561", "title"=>"Percent signal change for the numerical content versus the non-numerical content of the natural viewing video in adults and children.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-03 00:59:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/278553", "https://ndownloader.figshare.com/files/278606"], "description"=>"<div><p>It is not currently possible to measure the real-world thought process that a child has while observing an actual school lesson. However, if it could be done, children's neural processes would presumably be predictive of what they know. Such neural measures would shed new light on children's real-world thought. Toward that goal, this study examines neural processes that are evoked naturalistically, during educational television viewing. Children and adults all watched the same <em>Sesame Street</em> video during functional magnetic resonance imaging (fMRI). Whole-brain intersubject correlations between the neural timeseries from each child and a group of adults were used to derive maps of “neural maturity” for children. Neural maturity in the intraparietal sulcus (IPS), a region with a known role in basic numerical cognition, predicted children's formal mathematics abilities. In contrast, neural maturity in Broca's area correlated with children's verbal abilities, consistent with prior language research. Our data show that children's neural responses while watching complex real-world stimuli predict their cognitive abilities in a content-specific manner. This more ecologically natural paradigm, combined with the novel measure of “neural maturity,” provides a new method for studying real-world mathematics development in the brain.</p> </div>", "links"=>[], "tags"=>["neural", "scores", "childhood"], "article_id"=>114930, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>["https://dx.doi.org/10.1371/journal.pbio.1001462.s001", "https://dx.doi.org/10.1371/journal.pbio.1001462.s002"], "stats"=>{"downloads"=>2, "page_views"=>44, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Neural_Activity_during_Natural_Viewing_of_Sesame_Street_Statistically_Predicts_Test_Scores_in_Early_Childhood__/114930", "title"=>"Neural Activity during Natural Viewing of <em>Sesame Street</em> Statistically Predicts Test Scores in Early Childhood", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-01-03 01:22:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/512775"], "description"=>"<p>The timecourses are averaged across the IPS voxels from <a href=\"http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001462#pbio-1001462-g002\" target=\"_blank\">Figure 2A</a>. Percent signal change is calculated relative to the mean amplitude of the timecourse (the zero ordinate represents mean amplitude). The yellow bars indicate time periods where numerical information was presented in the video and the gray bars represent non-numerical video segments. The timecourses illustrate the correlation between the neural responses of children and adults.</p>", "links"=>[], "tags"=>["timecourses", "activation", "ips", "regions", "adults", "children"], "article_id"=>183267, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.g003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_BOLD_timecourses_of_activation_from_the_IPS_regions_from_adults_blue_and_children_red_from_the_video_series_/183267", "title"=>"BOLD timecourses of activation from the IPS regions from adults (blue) and children (red) from the video series.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-03 00:54:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/512887"], "description"=>"<p>The timecourses are averaged across the Broca's area voxels from <a href=\"http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001462#pbio-1001462-g002\" target=\"_blank\">Figure 2B</a>. Percent signal change is calculated relative to the mean amplitude of the timecourse (the zero ordinate represents mean amplitude). The yellow bars indicate time periods where numerical information was presented in the video and the gray bars represent non-numerical video segments.</p>", "links"=>[], "tags"=>["timecourses", "activation", "adults", "children"], "article_id"=>183388, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_BOLD_timecourses_of_activation_from_Broca_s_area_from_adults_blue_and_children_red_from_the_video_series_/183388", "title"=>"BOLD timecourses of activation from Broca's area from adults (blue) and children (red) from the video series.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-03 00:56:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/512538"], "description"=>"<p>(A) Example frames from the educational television series in the natural viewing movie paradigm. (B) The average group-level intersubject correlation in BOLD time-series during the 20-min movie (Fisher transformed one-sample <i>t</i>-test over individual children's mean r-maps versus the group mean correlation value; FDR-corrected, <i>q</i><0.01) for children correlated with adults (left), children correlated with children (middle), and adults correlated with adults (right). (C) Whole-brain statistical comparisons over intersubject correlations for children-to-adults, adults-to-adults, and children-to-children (Fisher transformed unpaired <i>t</i>-tests over individual subject mean r-maps).</p>", "links"=>[], "tags"=>["stimuli", "intersubject"], "article_id"=>183038, "categories"=>["Neuroscience"], "users"=>["Jessica F. Cantlon", "Rosa Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1001462.g001", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_stimuli_and_intersubject_correlations_/183038", "title"=>"Example stimuli and intersubject correlations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-03 00:50:38"}

PMC Usage Stats | Further Information

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