“Thinking about Not-Thinking”: Neural Correlates of Conceptual Processing during Zen Meditation
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{"title"=>"\"Thinking about not-thinking\": Neural correlates of conceptual processing during Zen meditation", "type"=>"journal", "authors"=>[{"first_name"=>"Giuseppe", "last_name"=>"Pagnoni", "scopus_author_id"=>"6602490107"}, {"first_name"=>"Milos", "last_name"=>"Cekic", "scopus_author_id"=>"13406705500"}, {"first_name"=>"Ying", "last_name"=>"Guo", "scopus_author_id"=>"55712514500"}], "year"=>2008, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"18769538", "doi"=>"10.1371/journal.pone.0003083", "sgr"=>"52349120092", "isbn"=>"1932-6203 (Electronic)", "scopus"=>"2-s2.0-52349120092", "issn"=>"19326203", "pui"=>"352399771"}, "id"=>"dd77f25f-f7ad-3c7f-9ba3-c8b03e3fc5ba", "abstract"=>"Recent neuroimaging studies have identified a set of brain regions that are metabolically active during wakeful rest and consistently deactivate in a variety the performance of demanding tasks. This \"default network\" has been functionally linked to the stream of thoughts occurring automatically in the absence of goal-directed activity and which constitutes an aspect of mental behavior specifically addressed by many meditative practices. Zen meditation, in particular, is traditionally associated with a mental state of full awareness but reduced conceptual content, to be attained via a disciplined regulation of attention and bodily posture. Using fMRI and a simplified meditative condition interspersed with a lexical decision task, we investigated the neural correlates of conceptual processing during meditation in regular Zen practitioners and matched control subjects. While behavioral performance did not differ between groups, Zen practitioners displayed a reduced duration of the neural response linked to conceptual processing in regions of the default network, suggesting that meditative training may foster the ability to control the automatic cascade of semantic associations triggered by a stimulus and, by extension, to voluntarily regulate the flow of spontaneous mentation.", "link"=>"http://www.mendeley.com/research/thinking-about-notthinking-neural-correlates-conceptual-processing-during-zen-meditation", "reader_count"=>249, "reader_count_by_academic_status"=>{"Unspecified"=>10, "Professor > Associate Professor"=>27, "Researcher"=>64, "Student > Doctoral Student"=>14, "Student > Ph. D. Student"=>48, "Student > Postgraduate"=>9, "Student > Master"=>21, "Other"=>14, "Student > Bachelor"=>13, "Lecturer"=>6, "Lecturer > Senior Lecturer"=>5, "Professor"=>18}, "reader_count_by_user_role"=>{"Unspecified"=>10, "Professor > Associate Professor"=>27, "Researcher"=>64, "Student > Doctoral Student"=>14, "Student > Ph. D. Student"=>48, "Student > Postgraduate"=>9, "Student > Master"=>21, "Other"=>14, "Student > Bachelor"=>13, "Lecturer"=>6, "Lecturer > Senior Lecturer"=>5, "Professor"=>18}, "reader_count_by_subject_area"=>{"Unspecified"=>21, "Agricultural and Biological Sciences"=>33, "Arts and Humanities"=>6, "Philosophy"=>2, "Business, Management and Accounting"=>4, "Computer Science"=>9, "Earth and Planetary Sciences"=>1, "Engineering"=>8, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>3, "Nursing and Health Professions"=>3, "Mathematics"=>2, "Medicine and Dentistry"=>41, "Neuroscience"=>22, "Physics and Astronomy"=>2, "Psychology"=>84, "Social Sciences"=>7}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>41}, "Social Sciences"=>{"Social Sciences"=>7}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Psychology"=>{"Psychology"=>84}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>21}, "Environmental Science"=>{"Environmental Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>6}, "Engineering"=>{"Engineering"=>8}, "Neuroscience"=>{"Neuroscience"=>22}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>33}, "Computer Science"=>{"Computer Science"=>9}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>3}, "Philosophy"=>{"Philosophy"=>2}}, "reader_count_by_country"=>{"Argentina"=>1, "United States"=>16, "United Kingdom"=>1, "Malaysia"=>2, "Thailand"=>1, "Kenya"=>1, "Portugal"=>1, "Spain"=>4, "India"=>2, "Venezuela"=>1, "Canada"=>1, "Sweden"=>1, "Korea (South)"=>1, "Belgium"=>1, "Finland"=>1, "Brazil"=>2, "Italy"=>2, "Chile"=>2, "Germany"=>3}, "group_count"=>10}

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  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/921624/Figure_1.tif"], "description"=>"<p>The <i>t</i>-map is thresholded at <i>p</i><0.001, <i>k</i>>27 voxels (α<0.05).</p>", "links"=>[], "tags"=>["clusters", "pooled"], "article_id"=>592075, "categories"=>["Neuroscience"], "users"=>["Giuseppe Pagnoni", "Milos Cekic", "Ying Guo"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0003083.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Activated_clusters_for_the_contrast_words_nonwords_on_the_pooled_data_CTRL_MEDT_/592075", "title"=>"Activated clusters for the contrast <i>words-nonwords</i> on the pooled data (CTRL+MEDT).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 09:31:14"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/921787/Figure_2.tif"], "description"=>"<p>Abbreviations for ROI names are the same as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0003083#pone-0003083-t002\" target=\"_blank\">Table 2</a>, where the index 1 and 2 for clusters with the same anatomical label follows the order in the table.</p>", "links"=>[], "tags"=>["averages", "gamma", "beta", "coefficients", "words", "nonwords", "controls", "meditators"], "article_id"=>592233, "categories"=>["Neuroscience"], "users"=>["Giuseppe Pagnoni", "Milos Cekic", "Ying Guo"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0003083.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_ROI_based_averages_of_the_Gamma_model_beta_coefficients_for_words_8220_wo_8221_and_nonwords_8220_nw_8221_in_controls_CTRL_and_meditators_MEDT_/592233", "title"=>"ROI-based averages of the Gamma model beta coefficients for words (“wo”) and nonwords (“nw”) in controls (CTRL) and meditators (MEDT).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 09:32:07"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/922002/Figure_3.tif"], "description"=>"<p>The Gamma function model for a standard hemodynamic response is plotted as a black dotted line for reference.</p>", "links"=>[], "tags"=>["semantic", "roi", "fitting", "spline", "hemodynamic", "subtracting", "nonwords", "words", "meditators"], "article_id"=>592444, "categories"=>["Neuroscience"], "users"=>["Giuseppe Pagnoni", "Milos Cekic", "Ying Guo"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0003083.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Estimates_of_the_BOLD_response_associated_with_semantic_processing_in_the_ROI_set_obtained_by_fitting_a_spline_basis_set_model_for_the_hemodynamic_function_and_subtracting_the_average_response_to_nonwords_8220_nw_8221_from_the_average_response_to_words_8/592444", "title"=>"Estimates of the BOLD response associated with semantic processing in the ROI set, obtained by fitting a spline basis set model for the hemodynamic function and subtracting the average response to nonwords (“nw”) from the average response to words (“wo”) in meditators and controls.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 09:33:22"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/922119/Figure_4.tif"], "description"=>"<p>Error bars represent standard errors and a reference Gamma function model for the BOLD response to a single brief stimulus is plotted as a black line for reference.</p>", "links"=>[], "tags"=>["controls", "meditators", "conceptual"], "article_id"=>592572, "categories"=>["Neuroscience"], "users"=>["Giuseppe Pagnoni", "Milos Cekic", "Ying Guo"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0003083.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Difference_between_controls_and_meditators_CTRL_MEDT_in_the_estimated_profile_of_the_BOLD_response_related_to_conceptual_activity_/592572", "title"=>"Difference between controls and meditators (CTRL-MEDT) in the estimated profile of the BOLD response related to conceptual activity.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 09:34:08"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/922322/Table_2.xls"], "description"=>"<p>Cluster sizes are in voxels, t-values refer to the peak voxel in the cluster, and stereotactic coordinates are in MNI space (mm). Abbreviations: L = Left, MCC = middle cingulate cortex, PCC = posterior cingulate cortex, rACC = rostral anterior cingulate cortex, g = gyrus, s = sulcus, sup = superior, inf = inferior. The indices (1) and (2) are used to distinguish different clusters in similar anatomical locations.</p>", "links"=>[], "tags"=>["activation", "pooled", "thresholded", "voxels"], "article_id"=>592774, "categories"=>["Neuroscience"], "users"=>["Giuseppe Pagnoni", "Milos Cekic", "Ying Guo"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0003083.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Clusters_of_activation_for_the_contrast_words_nonwords_on_the_pooled_data_CTRL_MEDT_thresholded_at_p_k_27_voxels_/592774", "title"=>"Clusters of activation for the contrast <i>words-nonwords</i> on the pooled data (CTRL+MEDT), thresholded at <i>p</i><0.001 and <i>k</i>>27 voxels (α<0.05).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 09:35:11"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/922343/Table_3.xls"], "description"=>"<p>The reported <i>p</i>-values are Bonferroni corrected. Significance codes: <sup>*</sup><0.05, <sup>**</sup><0.01, <sup>***</sup><0.001.</p>", "links"=>[], "tags"=>["differences", "cumulative", "semantic", "post-stimulus"], "article_id"=>592790, "categories"=>["Neuroscience"], "users"=>["Giuseppe Pagnoni", "Milos Cekic", "Ying Guo"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0003083.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Tests_of_group_differences_in_the_cumulative_measure_of_the_BOLD_signal_related_to_semantic_processing_in_the_6_8211_14_s_post_stimulus_period_within_each_ROI_/592790", "title"=>"Tests of group differences in the cumulative measure of the BOLD signal related to semantic processing in the 6–14 s post-stimulus period within each ROI.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 09:35:22"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/922370/Table_1.xls"], "description"=>"<p>Behavioral data for the lexical decision task: mean response times (in ms, st. dev. in parentheses), mean number of errors, and omissions (st. dev. in parentheses).</p>", "links"=>[], "tags"=>["lexical", "times", "omissions"], "article_id"=>592825, "categories"=>["Neuroscience"], "users"=>["Giuseppe Pagnoni", "Milos Cekic", "Ying Guo"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0003083.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Behavioral_data_for_the_lexical_decision_task_mean_response_times_in_ms_st_dev_in_parentheses_mean_number_of_errors_and_omissions_st_dev_in_parentheses_/592825", "title"=>"Behavioral data for the lexical decision task: mean response times (in ms, st. dev. in parentheses), mean number of errors, and omissions (st. dev. in parentheses).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 09:35:32"}

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  • {"unique-ip"=>"21", "full-text"=>"13", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"15", "full-text"=>"16", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
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  • {"unique-ip"=>"22", "full-text"=>"26", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
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  • {"unique-ip"=>"30", "full-text"=>"35", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"30", "full-text"=>"32", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"38", "full-text"=>"39", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
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  • {"unique-ip"=>"23", "full-text"=>"26", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"22", "full-text"=>"22", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"4"}
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Relative Metric

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