Using fMRI Brain Activation to Identify Cognitive States Associated with Perception of Tools and Dwellings
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{"title"=>"Using fMRI brain activation to identify cognitive states associated with perception of tools and dwellings", "type"=>"journal", "authors"=>[{"first_name"=>"Svetlana V.", "last_name"=>"Shinkareva", "scopus_author_id"=>"14619690900"}, {"first_name"=>"Robert A.", "last_name"=>"Mason", "scopus_author_id"=>"35610316400"}, {"first_name"=>"Vincente L.", "last_name"=>"Malave", "scopus_author_id"=>"24401148500"}, {"first_name"=>"Wei", "last_name"=>"Wang", "scopus_author_id"=>"7501760568"}, {"first_name"=>"Tom M.", "last_name"=>"Mitchell", "scopus_author_id"=>"7402175019"}, {"first_name"=>"Marcel Adam", "last_name"=>"Just", "scopus_author_id"=>"7101650446"}], "year"=>2008, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"38949165373", "doi"=>"10.1371/journal.pone.0001394", "pui"=>"351223130", "pmid"=>"18167553", "scopus"=>"2-s2.0-38949165373", "issn"=>"19326203", "isbn"=>"1932-6203 (Electronic)"}, "id"=>"ee1bb59d-eed2-359e-8d40-4c2757088b64", "abstract"=>"Previous studies have succeeded in identifying the cognitive state corresponding to the perception of a set of depicted categories, such as tools, by analyzing the accompanying pattern of brain activity, measured with fMRI. The current research focused on identifying the cognitive state associated with a 4s viewing of an individual line drawing (1 of 10 familiar objects, 5 tools and 5 dwellings, such as a hammer or a castle). Here we demonstrate the ability to reliably (1) identify which of the 10 drawings a participant was viewing, based on that participant's characteristic whole-brain neural activation patterns, excluding visual areas; (2) identify the category of the object with even higher accuracy, based on that participant's activation; and (3) identify, for the first time, both individual objects and the category of the object the participant was viewing, based only on other participants' activation patterns. The voxels important for category identification were located similarly across participants, and distributed throughout the cortex, focused in ventral temporal perceptual areas but also including more frontal association areas (and somewhat left-lateralized). These findings indicate the presence of stable, distributed, communal, and identifiable neural states corresponding to object concepts.", "link"=>"http://www.mendeley.com/research/using-fmri-brain-activation-identify-cognitive-states-associated-perception-tools-dwellings", "reader_count"=>281, "reader_count_by_academic_status"=>{"Unspecified"=>8, "Professor > Associate Professor"=>16, "Researcher"=>93, "Student > Doctoral Student"=>14, "Student > Ph. D. Student"=>68, "Student > Postgraduate"=>14, "Student > Master"=>20, "Other"=>13, "Student > Bachelor"=>12, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>3, "Professor"=>16}, "reader_count_by_user_role"=>{"Unspecified"=>8, "Professor > Associate Professor"=>16, "Researcher"=>93, "Student > Doctoral Student"=>14, "Student > Ph. D. Student"=>68, "Student > Postgraduate"=>14, "Student > Master"=>20, "Other"=>13, "Student > Bachelor"=>12, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>3, "Professor"=>16}, "reader_count_by_subject_area"=>{"Unspecified"=>16, "Agricultural and Biological Sciences"=>34, "Arts and Humanities"=>2, "Philosophy"=>4, "Business, Management and Accounting"=>4, "Computer Science"=>32, "Engineering"=>14, "Environmental Science"=>1, "Materials Science"=>1, "Mathematics"=>3, "Medicine and Dentistry"=>22, "Neuroscience"=>23, "Design"=>2, "Sports and Recreations"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Physics and Astronomy"=>4, "Psychology"=>100, "Social Sciences"=>7, "Linguistics"=>10}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>22}, "Social Sciences"=>{"Social Sciences"=>7}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>4}, "Psychology"=>{"Psychology"=>100}, "Mathematics"=>{"Mathematics"=>3}, "Unspecified"=>{"Unspecified"=>16}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Design"=>{"Design"=>2}, "Engineering"=>{"Engineering"=>14}, "Neuroscience"=>{"Neuroscience"=>23}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>34}, "Computer Science"=>{"Computer Science"=>32}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>4}, "Linguistics"=>{"Linguistics"=>10}, "Philosophy"=>{"Philosophy"=>4}}, "reader_count_by_country"=>{"United States"=>25, "Japan"=>4, "United Kingdom"=>7, "Malaysia"=>1, "Portugal"=>1, "Switzerland"=>1, "Russia"=>1, "Canada"=>1, "Netherlands"=>3, "Sweden"=>1, "Austria"=>1, "Belgium"=>1, "China"=>1, "Ireland"=>2, "Finland"=>1, "Brazil"=>2, "Poland"=>1, "Italy"=>2, "France"=>1, "Australia"=>1, "Germany"=>3}, "group_count"=>10}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/939484"], "description"=>"<p>Voxel locations for the <i>tools</i> category are shown in red, and voxel locations for the <i>dwellings</i> category are shown in blue on the three-dimensional rendering of the T1 MNI single-subject brain. Yellow ellipses indicate commonality in voxel locations for the <i>tools</i> category in LIPL across participants.</p>", "links"=>[], "tags"=>["voxel", "locations", "having", "highest", "classification"], "article_id"=>609920, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001394.g005", "stats"=>{"downloads"=>3, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Commonality_in_voxel_locations_across_the_three_participants_having_the_highest_category_classification_accuracies_/609920", "title"=>"Commonality in voxel locations across the three participants having the highest category classification accuracies.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-01-02 02:45:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/462664", "https://ndownloader.figshare.com/files/462706"], "description"=>"<div><p>Previous studies have succeeded in identifying the cognitive state corresponding to the perception of a set of depicted categories, such as <em>tools</em>, by analyzing the accompanying pattern of brain activity, measured with fMRI. The current research focused on identifying the cognitive state associated with a 4s viewing of an individual line drawing (1 of 10 familiar objects, 5 <em>tools</em> and 5 <em>dwellings</em>, such as a <em>hammer</em> or a <em>castle</em>). Here we demonstrate the ability to reliably (1) identify which of the 10 drawings a participant was viewing, based on that participant's characteristic whole-brain neural activation patterns, excluding visual areas; (2) identify the category of the object with even higher accuracy, based on that participant's activation; and (3) identify, for the first time, both individual objects and the category of the object the participant was viewing, based only on other participants' activation patterns. The voxels important for category identification were located similarly across participants, and distributed throughout the cortex, focused in ventral temporal perceptual areas but also including more frontal association areas (and somewhat left-lateralized). These findings indicate the presence of stable, distributed, communal, and identifiable neural states corresponding to object concepts.</p></div>", "links"=>[], "tags"=>["fmri", "activation", "states", "tools", "dwellings"], "article_id"=>151195, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0001394.s001", "https://dx.doi.org/10.1371/journal.pone.0001394.s002"], "stats"=>{"downloads"=>7, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Using_fMRI_Brain_Activation_to_Identify_Cognitive_States_Associated_with_Perception_of_Tools_and_Dwellings/151195", "title"=>"Using fMRI Brain Activation to Identify Cognitive States Associated with Perception of Tools and Dwellings", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2008-01-02 00:19:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/939274"], "description"=>"<p>Yellow ellipses indicate the commonality of the voxel locations for object identification in LIPL across participants.</p>", "links"=>[], "tags"=>["diagnostic", "voxels", "exemplar", "classification", "having", "highest", "accuracies", "three-dimensional", "rendering", "t1", "mni", "single-subject"], "article_id"=>609708, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001394.g003", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Locations_of_the_diagnostic_voxels_in_object_exemplar_classification_for_the_three_participants_having_the_highest_accuracies_are_shown_on_the_three_dimensional_rendering_of_the_T1_MNI_single_subject_brain_/609708", "title"=>"Locations of the diagnostic voxels in object exemplar classification for the three participants having the highest accuracies are shown on the three-dimensional rendering of the T1 MNI single-subject brain.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-01-02 02:41:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/939033"], "description"=>"<p>Schematic depiction of presentation timing.</p>", "links"=>[], "tags"=>["depiction"], "article_id"=>609479, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001394.g001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Schematic_depiction_of_presentation_timing_/609479", "title"=>"Schematic depiction of presentation timing.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-01-02 02:37:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/939352"], "description"=>"<p>Reliable (p<0.001) accuracies for classification of objects by category (filled bars) were reached for all participants and reliable (p<0.001) accuracies for classification of objects by category when training on the union of data from eleven participants (unfilled bars) were reached for ten out of twelve participants. The dashed line indicates the highest mean of the permutation distribution across participants under the null hypothesis of no difference among the categories (i.e., chance level) for cross-participants category identification.</p>", "links"=>[], "tags"=>["classification", "accuracies"], "article_id"=>609798, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001394.g004", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_High_classification_accuracies_for_object_categories_/609798", "title"=>"High classification accuracies for object categories.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-01-02 02:43:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/939784"], "description"=>"<p>L indicates left, and R indicates right hemisphere.</p>", "links"=>[], "tags"=>["regions", "singly", "produced", "classification", "accuracies"], "article_id"=>610225, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001394.t001", "stats"=>{"downloads"=>5, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Anatomical_regions_out_of_71_that_singly_produced_reliable_average_classification_accuracies_across_the_twelve_participants_for_category_identification_/610225", "title"=>"Anatomical regions (out of 71) that singly produced reliable average classification accuracies across the twelve participants for category identification.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-01-02 00:03:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/939660"], "description"=>"<p>The first principal component separates anterior and posterior regions, and accounts for 8% of the variance. The second principal component separates parietal and temporal regions, and accounts for 6% of the variance in the data. Region labels are color-coded by lobe, and are described in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0001394#pone-0001394-t001\" target=\"_blank\">Table 1</a>. The arrows are used to separate labels that are close to each other.</p>", "links"=>[], "tags"=>["regions", "components", "matrix"], "article_id"=>610102, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001394.g007", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Brain_regions_in_the_space_of_the_first_two_principal_components_of_the_compromise_matrix_based_on_the_regions_confusion_errors_/610102", "title"=>"Brain regions in the space of the first two principal components of the compromise matrix based on the regions' confusion errors.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-01-02 00:01:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/939110"], "description"=>"<p>Reliable (p<0.001) accuracies for the classification of object exemplars within participants (filled bars) were reached for eleven out of twelve participants, and reliable (p<0.001) accuracies for the classification of object exemplars when training on the union of data from eleven participants (unfilled bars) were reached for eight out of twelve participants. The dashed line indicates the highest mean of the permutation distribution across participants under the null hypothesis of no difference, i.e., chance level, among object exemplars for cross-participants object exemplar identification.</p>", "links"=>[], "tags"=>["classification", "accuracies"], "article_id"=>609555, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001394.g002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_High_classification_rank_accuracies_for_object_exemplars_/609555", "title"=>"High classification rank accuracies for object exemplars.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-01-02 02:39:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/939577"], "description"=>"<p>Activation is projected onto a surface rendering.</p>", "links"=>[], "tags"=>["activation", "areas", "objects", "compared"], "article_id"=>610017, "categories"=>["Neuroscience"], "users"=>["Svetlana V. Shinkareva", "Robert A. Mason", "Vicente L. Malave", "Wei Wang", "Tom M. Mitchell", "Marcel Adam Just"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001394.g006", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Brain_activation_showing_areas_of_greater_activity_for_A_objects_compared_to_fixation_and_B_tools_compared_to_dwellings_/610017", "title"=>"Brain activation showing areas of greater activity for (A) objects compared to fixation, and (B) <i>tools</i> compared to <i>dwellings.</i>", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-01-02 00:00:17"}

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Relative Metric

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