Dynamic Change of Global and Local Information Processing in Propofol-Induced Loss and Recovery of Consciousness
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Dynamic Change of Global and Local Information Processing in Propofol-Induced Loss and Recovery of Consciousness", "type"=>"journal", "authors"=>[{"first_name"=>"Martin M.", "last_name"=>"Monti", "scopus_author_id"=>"18536758300"}, {"first_name"=>"Evan S.", "last_name"=>"Lutkenhoff", "scopus_author_id"=>"24471076700"}, {"first_name"=>"Mikail", "last_name"=>"Rubinov", "scopus_author_id"=>"26028456500"}, {"first_name"=>"Pierre", "last_name"=>"Boveroux", "scopus_author_id"=>"24467296700"}, {"first_name"=>"Audrey", "last_name"=>"Vanhaudenhuyse", "scopus_author_id"=>"22987043300"}, {"first_name"=>"Olivia", "last_name"=>"Gosseries", "scopus_author_id"=>"23984909200"}, {"first_name"=>"Marie Aurélie", "last_name"=>"Bruno", "scopus_author_id"=>"26429255700"}, {"first_name"=>"Quentin", "last_name"=>"Noirhomme", "scopus_author_id"=>"6507966650"}, {"first_name"=>"Mélanie", "last_name"=>"Boly", "scopus_author_id"=>"6506381189"}, {"first_name"=>"Steven", "last_name"=>"Laureys", "scopus_author_id"=>"7004546122"}], "year"=>2013, "source"=>"PLoS Computational Biology", "identifiers"=>{"pmid"=>"24146606", "doi"=>"10.1371/journal.pcbi.1003271", "sgr"=>"84887274229", "isbn"=>"1553-7358 (Electronic)\\r1553-734X (Linking)", "scopus"=>"2-s2.0-84887274229", "issn"=>"1553734X", "pui"=>"370217856"}, "id"=>"a274661d-3206-32ab-916c-db9fd869b3c8", "abstract"=>"Whether unique to humans or not, consciousness is a central aspect of our experience of the world. The neural fingerprint of this experience, however, remains one of the least understood aspects of the human brain. In this paper we employ graph-theoretic measures and support vector machine classification to assess, in 12 healthy volunteers, the dynamic reconfiguration of functional connectivity during wakefulness, propofol-induced sedation and loss of consciousness, and the recovery of wakefulness. Our main findings, based on resting-state fMRI, are three-fold. First, we find that propofol-induced anesthesia does not bear differently on long-range versus short-range connections. Second, our multi-stage design dissociated an initial phase of thalamo-cortical and cortico-cortical hyperconnectivity, present during sedation, from a phase of cortico-cortical hypoconnectivity, apparent during loss of consciousness. Finally, we show that while clustering is increased during loss of consciousness, as recently suggested, it also remains significantly elevated during wakefulness recovery. Conversely, the characteristic path length of brain networks (i.e., the average functional distance between any two regions of the brain) appears significantly increased only during loss of consciousness, marking a decrease of global information-processing efficiency uniquely associated with unconsciousness. These findings suggest that propofol-induced loss of consciousness is mainly tied to cortico-cortical and not thalamo-cortical mechanisms, and that decreased efficiency of information flow is the main feature differentiating the conscious from the unconscious brain.", "link"=>"http://www.mendeley.com/research/dynamic-change-global-local-information-processing-propofolinduced-loss-recovery-consciousness", "reader_count"=>110, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>8, "Researcher"=>25, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>31, "Student > Postgraduate"=>7, "Student > Master"=>13, "Other"=>7, "Student > Bachelor"=>8, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>8, "Researcher"=>25, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>31, "Student > Postgraduate"=>7, "Student > Master"=>13, "Other"=>7, "Student > Bachelor"=>8, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>8, "Engineering"=>5, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>20, "Agricultural and Biological Sciences"=>22, "Neuroscience"=>18, "Philosophy"=>3, "Physics and Astronomy"=>4, "Psychology"=>18, "Social Sciences"=>2, "Computer Science"=>8}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>5}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>20}, "Neuroscience"=>{"Neuroscience"=>18}, "Social Sciences"=>{"Social Sciences"=>2}, "Physics and Astronomy"=>{"Physics and Astronomy"=>4}, "Psychology"=>{"Psychology"=>18}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>22}, "Computer Science"=>{"Computer Science"=>8}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>8}, "Philosophy"=>{"Philosophy"=>3}}, "reader_count_by_country"=>{"Canada"=>1, "Finland"=>1, "Poland"=>1, "United Kingdom"=>2, "Italy"=>1, "France"=>1, "Switzerland"=>1, "Germany"=>2, "Spain"=>1}, "group_count"=>10}

CrossRef

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84887274229"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84887274229?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84887274229&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84887274229&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84887274229", "dc:identifier"=>"SCOPUS_ID:84887274229", "eid"=>"2-s2.0-84887274229", "dc:title"=>"Dynamic Change of Global and Local Information Processing in Propofol-Induced Loss and Recovery of Consciousness", "dc:creator"=>"Monti M.", "prism:publicationName"=>"PLoS Computational Biology", "prism:issn"=>"1553734X", "prism:eIssn"=>"15537358", "prism:volume"=>"9", "prism:issueIdentifier"=>"10", "prism:pageRange"=>nil, "prism:coverDate"=>"2013-10-01", "prism:coverDisplayDate"=>"October 2013", "prism:doi"=>"10.1371/journal.pcbi.1003271", "citedby-count"=>"64", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"University of California, Los Angeles", "affiliation-city"=>"Los Angeles", "affiliation-country"=>"United States"}, {"@_fa"=>"true", "affilname"=>"David Geffen School of Medicine at UCLA", "affiliation-city"=>"Los Angeles", "affiliation-country"=>"United States"}], "pubmed-id"=>"24146606", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e1003271", "source-id"=>"4000151810", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fploscompbiol%2Farticle%3Fid%3D10.1371%252Fjournal.pcbi.1003271", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

Journal Comments | Further Information

Twitter

Counter

  • {"month"=>"10", "year"=>"2013", "pdf_views"=>"326", "xml_views"=>"13", "html_views"=>"2030"}
  • {"month"=>"11", "year"=>"2013", "pdf_views"=>"103", "xml_views"=>"11", "html_views"=>"1105"}
  • {"month"=>"12", "year"=>"2013", "pdf_views"=>"43", "xml_views"=>"1", "html_views"=>"234"}
  • {"month"=>"1", "year"=>"2014", "pdf_views"=>"36", "xml_views"=>"0", "html_views"=>"207"}
  • {"month"=>"2", "year"=>"2014", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"227"}
  • {"month"=>"3", "year"=>"2014", "pdf_views"=>"18", "xml_views"=>"3", "html_views"=>"160"}
  • {"month"=>"4", "year"=>"2014", "pdf_views"=>"21", "xml_views"=>"1", "html_views"=>"129"}
  • {"month"=>"5", "year"=>"2014", "pdf_views"=>"29", "xml_views"=>"2", "html_views"=>"166"}
  • {"month"=>"6", "year"=>"2014", "pdf_views"=>"28", "xml_views"=>"0", "html_views"=>"127"}
  • {"month"=>"7", "year"=>"2014", "pdf_views"=>"41", "xml_views"=>"0", "html_views"=>"197"}
  • {"month"=>"8", "year"=>"2014", "pdf_views"=>"15", "xml_views"=>"3", "html_views"=>"114"}
  • {"month"=>"9", "year"=>"2014", "pdf_views"=>"22", "xml_views"=>"1", "html_views"=>"140"}
  • {"month"=>"10", "year"=>"2014", "pdf_views"=>"24", "xml_views"=>"1", "html_views"=>"127"}
  • {"month"=>"11", "year"=>"2014", "pdf_views"=>"27", "xml_views"=>"1", "html_views"=>"110"}
  • {"month"=>"12", "year"=>"2014", "pdf_views"=>"11", "xml_views"=>"2", "html_views"=>"90"}
  • {"month"=>"1", "year"=>"2015", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"52"}
  • {"month"=>"2", "year"=>"2015", "pdf_views"=>"28", "xml_views"=>"0", "html_views"=>"54"}
  • {"month"=>"3", "year"=>"2015", "pdf_views"=>"53", "xml_views"=>"0", "html_views"=>"76"}
  • {"month"=>"4", "year"=>"2015", "pdf_views"=>"17", "xml_views"=>"1", "html_views"=>"59"}
  • {"month"=>"5", "year"=>"2015", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"60"}
  • {"month"=>"6", "year"=>"2015", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"73"}
  • {"month"=>"7", "year"=>"2015", "pdf_views"=>"53", "xml_views"=>"0", "html_views"=>"53"}
  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"47"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"37"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"12", "xml_views"=>"1", "html_views"=>"50"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"43"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"52"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"81"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"57"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"55"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"22", "xml_views"=>"0", "html_views"=>"67"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"38"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"17", "xml_views"=>"0", "html_views"=>"26"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"50"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"34"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"40"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"40"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"66"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"2", "html_views"=>"25"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"11", "xml_views"=>"1", "html_views"=>"58"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"42"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"49"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"46"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"40"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"16", "xml_views"=>"0", "html_views"=>"58"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"42"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"31"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"12", "xml_views"=>"1", "html_views"=>"32"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"8", "xml_views"=>"2", "html_views"=>"137"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"50"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"15", "xml_views"=>"1", "html_views"=>"23"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"27", "xml_views"=>"0", "html_views"=>"29"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"14", "xml_views"=>"2", "html_views"=>"23"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"22"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"10"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"8", "xml_views"=>"3", "html_views"=>"21"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"4", "html_views"=>"12"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"17"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"12", "xml_views"=>"2", "html_views"=>"13"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"9", "xml_views"=>"2", "html_views"=>"13"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"28"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"15", "xml_views"=>"1", "html_views"=>"26"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"24", "xml_views"=>"3", "html_views"=>"29"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"28"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"20"}
  • {"month"=>"6", "year"=>"2019", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"11"}
  • {"month"=>"7", "year"=>"2019", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"15"}
  • {"month"=>"8", "year"=>"2019", "pdf_views"=>"24", "xml_views"=>"0", "html_views"=>"10"}
  • {"month"=>"9", "year"=>"2019", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"9"}
  • {"month"=>"10", "year"=>"2019", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"16"}
  • {"month"=>"11", "year"=>"2019", "pdf_views"=>"11", "xml_views"=>"1", "html_views"=>"14"}
  • {"month"=>"12", "year"=>"2019", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"18"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1245635"], "description"=>"<p>Distribution of the top 1% connections contributing to correct SVM classification for (A) S vs. W, (B) LOC vs. S (middle), and (C) R vs. LOC. See <a href=\"http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003271#pcbi-1003271-g001\" target=\"_blank\">Figure 1</a> for abbreviations; in addition ‘p’ indicates positive correlations; ‘n’ indicates negative correlations.</p>", "links"=>[], "tags"=>["classifying"], "article_id"=>826285, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.g004", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_classifying_connections_/826285", "title"=>"Distribution of classifying connections.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245634"], "description"=>"<p>Top 1% connections contributing to the group SVM classification of (A) all wakefulness conditions (W&R) vs. all sedation conditions (S&LOC); (B) W vs. S; (C) S vs. LOC; (D) LOC vs. R. For each comparison, the upper triangle shows the connections contributing to correctly classifying the first condition, the lower triangle shows the connections contributing to correctly classifying the second condition. Red connections indicate positive correlations contributing to the correct classification of a condition, blue connections indicate negative correlations contributing to the correct classification of a condition. (Since classifications are relative to a comparison group, top classifying nodes for a given condition may differ according to what group it is classified against.) See <a href=\"http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003271#pcbi-1003271-g001\" target=\"_blank\">Figure 1</a> for abbreviations.</p>", "links"=>[], "tags"=>[], "article_id"=>826284, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.g003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Classification_results_/826284", "title"=>"Classification results.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245641"], "description"=>"<p>Mean number of modules for each condition at each density threshold (SD reported in parenthesis).</p>", "links"=>[], "tags"=>["modules"], "article_id"=>826289, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.t002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_number_of_modules_for_each_condition_at_each_density_threshold_SD_reported_in_parenthesis_/826289", "title"=>"Mean number of modules for each condition at each density threshold (SD reported in parenthesis).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245638"], "description"=>"<p>Regions displaying a significant effect of condition on local metrics. (a) Nodal strength (yellow-red colors indicate regions in which degree was stronger, on average, for the S and LOC conditions, while blue-lightblue colors indicate regions in which degree was stronger for W and R). (b) Local efficiency (yellow-red colors indicate regions in which the measure is stronger, on average for the LOC and R conditions). Color intensity is assigned on the basis of the (FDR adjusted) p-value for the condition factor in the 2-way repeated measures ANOVA. (Surface rendering was performed using Caret <a href=\"http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003271#pcbi.1003271-VanEssen1\" target=\"_blank\">[98]</a>.)</p>", "links"=>[], "tags"=>[], "article_id"=>826287, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.g006", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Local_metrics_/826287", "title"=>"Local metrics.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245640"], "description"=>"<p>Parcellation of brain data into 194 cortical, subcortical and cerebellar ROIs.</p>", "links"=>[], "tags"=>[], "article_id"=>826288, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.g007", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_ROI_selection_/826288", "title"=>"ROI selection.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245637"], "description"=>"<p>Average normalized global network metrics for each condition at each threshold (bars depict standard error). Abbreviations: Clustering, ; characteristic path length, ; small-worldness, ; efficiency, ; modularity, nQ. Significance level: ‘***’; ‘**’; ‘*’; ‘∼’; ‘ns’.</p>", "links"=>[], "tags"=>[], "article_id"=>826286, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.g005", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Global_metrics_/826286", "title"=>"Global metrics.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245632"], "description"=>"<p>(a) Frequency distribution of ROI correlations for each condition (and boxplot); (b) Strength of ROI correlations for each condition as a function of inter-ROI distance (for display purposes regions are binned in fifteen-9 mm distance groups).</p>", "links"=>[], "tags"=>[], "article_id"=>826283, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.g002", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlations_description_/826283", "title"=>"Correlations description.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245631"], "description"=>"<p>Within each subdivision/lobe, ROIs appear in a rostral-to-caudal fashion. Abbreviations: : cortex, frontal lobe; : cortex, temporal lobe; : cortex, parietal lobe; : cortex, occipital lobe; BG: basal ganglia; Thl: thalamus; BS: brainstem; Crbl: cerebellum.</p>", "links"=>[], "tags"=>["connectivity", "matrices"], "article_id"=>826282, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.g001", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_connectivity_matrices_for_each_condition_/826282", "title"=>"Mean connectivity matrices for each condition.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245644", "https://ndownloader.figshare.com/files/1245645", "https://ndownloader.figshare.com/files/1245646"], "description"=>"<div><p>Whether unique to humans or not, consciousness is a central aspect of our experience of the world. The neural fingerprint of this experience, however, remains one of the least understood aspects of the human brain. In this paper we employ graph-theoretic measures and support vector machine classification to assess, in 12 healthy volunteers, the dynamic reconfiguration of functional connectivity during wakefulness, propofol-induced sedation and loss of consciousness, and the recovery of wakefulness. Our main findings, based on resting-state fMRI, are three-fold. First, we find that propofol-induced anesthesia does not bear differently on long-range versus short-range connections. Second, our multi-stage design dissociated an initial phase of thalamo-cortical and cortico-cortical hyperconnectivity, present during sedation, from a phase of cortico-cortical hypoconnectivity, apparent during loss of consciousness. Finally, we show that while clustering is increased during loss of consciousness, as recently suggested, it also remains significantly elevated during wakefulness recovery. Conversely, the characteristic path length of brain networks (i.e., the average functional distance between any two regions of the brain) appears significantly increased only during loss of consciousness, marking a decrease of global information-processing efficiency uniquely associated with unconsciousness. These findings suggest that propofol-induced loss of consciousness is mainly tied to cortico-cortical and not thalamo-cortical mechanisms, and that decreased efficiency of information flow is the main feature differentiating the conscious from the unconscious brain.</p></div>", "links"=>[], "tags"=>["propofol-induced"], "article_id"=>826291, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>["https://dx.doi.org/10.1371/journal.pcbi.1003271.s001", "https://dx.doi.org/10.1371/journal.pcbi.1003271.s002", "https://dx.doi.org/10.1371/journal.pcbi.1003271.s003"], "stats"=>{"downloads"=>0, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dynamic_Change_of_Global_and_Local_Information_Processing_in_Propofol_Induced_Loss_and_Recovery_of_Consciousness_/826291", "title"=>"Dynamic Change of Global and Local Information Processing in Propofol-Induced Loss and Recovery of Consciousness", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-10-17 02:50:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1245642"], "description"=>"<p>‘*’ indicates the classification survives Bonferroni correction.</p>", "links"=>[], "tags"=>["classification", "svm"], "article_id"=>826290, "categories"=>["Information And Computing Sciences", "Biological Sciences"], "users"=>["Martin M. Monti", "Evan S. Lutkenhoff", "Mikail Rubinov", "Pierre Boveroux", "Audrey Vanhaudenhuyse", "Olivia Gosseries", "Marie-Aurélie Bruno", "Quentin Noirhomme", "Mélanie Boly", "Steven Laureys"], "doi"=>"https://dx.doi.org/10.1371/journal.pcbi.1003271.t001", "stats"=>{"downloads"=>1, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_brain_network_group_classification_with_SVM_algorithm_/826290", "title"=>"Results of brain network group classification with SVM algorithm.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-10-17 02:50:22"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"12", "full-text"=>"11", "pdf"=>"26", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2013", "month"=>"10"}
  • {"unique-ip"=>"33", "full-text"=>"35", "pdf"=>"20", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"14", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"11"}
  • {"unique-ip"=>"32", "full-text"=>"33", "pdf"=>"21", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"12"}
  • {"unique-ip"=>"18", "full-text"=>"19", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"1"}
  • {"unique-ip"=>"19", "full-text"=>"19", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"2"}
  • {"unique-ip"=>"22", "full-text"=>"32", "pdf"=>"19", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"3"}
  • {"unique-ip"=>"20", "full-text"=>"21", "pdf"=>"18", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"5"}
  • {"unique-ip"=>"14", "full-text"=>"11", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"6"}
  • {"unique-ip"=>"14", "full-text"=>"12", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"4"}
  • {"unique-ip"=>"18", "full-text"=>"17", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"7"}
  • {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"15", "full-text"=>"10", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"24", "full-text"=>"17", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"4", "cited-by"=>"1", "year"=>"2014", "month"=>"11"}
  • {"unique-ip"=>"11", "full-text"=>"14", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"12", "full-text"=>"8", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"2"}
  • {"unique-ip"=>"13", "full-text"=>"12", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2015", "month"=>"3"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"4"}
  • {"unique-ip"=>"10", "full-text"=>"14", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"5"}
  • {"unique-ip"=>"15", "full-text"=>"27", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"11", "full-text"=>"10", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"4", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"7", "full-text"=>"5", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"10", "full-text"=>"11", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"7", "full-text"=>"4", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"13", "full-text"=>"11", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"8", "full-text"=>"15", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"1", "full-text"=>"2", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"11", "full-text"=>"13", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"6", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"8", "full-text"=>"6", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"3", "full-text"=>"1", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"10", "full-text"=>"13", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"6", "full-text"=>"4", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"13", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"1", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "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"=>"/Computer and information sciences/Neural networks", "average_usage"=>[284, 481, 590, 705, 782, 880, 969, 1051, 1141, 1227, 1337, 1399, 1463]}, {"subject_area"=>"/Medicine and health sciences", "average_usage"=>[264, 460, 584, 692, 794, 887, 978, 1067, 1154, 1241, 1328, 1408, 1474]}, {"subject_area"=>"/Medicine and health sciences/Pathology and laboratory medicine", "average_usage"=>[267, 466, 592, 709, 806, 901, 989, 1075, 1162, 1254, 1342, 1424, 1486]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[259, 431, 541, 639, 727, 816, 898, 980, 1061, 1136, 1214, 1294, 1356]}]}
Loading … Spinner
There are currently no alerts