Task Complexity Differentially Affects Executed and Imagined Movement Preparation: Evidence from Movement-Related Potentials
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{"title"=>"Task complexity differentially affects executed and imagined movement preparation: Evidence from movement-related potentials", "type"=>"journal", "authors"=>[{"first_name"=>"Cornelia", "last_name"=>"Kranczioch", "scopus_author_id"=>"15077752900"}, {"first_name"=>"Simon", "last_name"=>"Mathews", "scopus_author_id"=>"15063004900"}, {"first_name"=>"Philip", "last_name"=>"Dean", "scopus_author_id"=>"23110489100"}, {"first_name"=>"Annette", "last_name"=>"Sterr", "scopus_author_id"=>"6603894792"}], "year"=>2010, "source"=>"PLoS ONE", "identifiers"=>{"arxiv"=>"10.1371/journal.pone.0009284", "pui"=>"358466863", "isbn"=>"1932-6203", "sgr"=>"77949516228", "issn"=>"19326203", "pmid"=>"20174567", "scopus"=>"2-s2.0-77949516228", "doi"=>"10.1371/journal.pone.0009284"}, "id"=>"3dc96986-3a56-37b6-ab89-4112089a2811", "abstract"=>"BACKGROUND: The neural simulation theory predicts similarity for the neural mechanisms subserving overt (motor execution) and covert (movement imagination) actions. Here we tested this prediction for movement preparation, a key characteristic of motor cognition. METHODOLOGY/PRINCIPAL FINDINGS: High-density electroencephalogram (EEG) was recorded during covert and overt actions. Movement preparation was studied with a motor priming paradigm, which varied task complexity and amount of advance information. Participants performed simple or complex sequential finger movements either overtly or covertly. Advance information was either fully predictive or partially predictive. Stimulus-locked event-related potential (ERP) data showed the typical pattern of foreperiod activation for overt and covert movements. The foreperiod contingent negative variation (CNV) differed between simple and complex movements only in the execution task. ERP topographies differed between execution and imagination only when advance information was fully predictive. CONCLUSIONS/SIGNIFICANCE: Results suggest a differential contribution of the movement preparation network to action imagination and execution. Overt and covert actions seem to involve similar though not identical mechanisms, where overt actions engage a more fine-grained modulation of covert preparatory states.", "link"=>"http://www.mendeley.com/research/task-complexity-differentially-affects-executed-imagined-movement-preparation-evidence-movementrelat", "reader_count"=>58, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Researcher"=>18, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>5, "Other"=>2, "Student > Master"=>2, "Student > Bachelor"=>3, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Researcher"=>18, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>5, "Other"=>2, "Student > Master"=>2, "Student > Bachelor"=>3, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Engineering"=>3, "Medicine and Dentistry"=>7, "Agricultural and Biological Sciences"=>7, "Neuroscience"=>8, "Sports and Recreations"=>2, "Psychology"=>22, "Computer Science"=>3, "Economics, Econometrics and Finance"=>1, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Neuroscience"=>{"Neuroscience"=>8}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>22}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Computer Science"=>{"Computer Science"=>3}, "Linguistics"=>{"Linguistics"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"United States"=>3, "Brazil"=>1, "United Kingdom"=>2, "France"=>1}, "group_count"=>7}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/862360"], "description"=>"<p>CNV amplitudes for both sessions and all conditions for the early (700 to1000 ms) and late (1000 to 1300 ms) time windows.</p>", "links"=>[], "tags"=>["amplitudes", "sessions", "conditions", "to1000", "1300"], "article_id"=>532817, "categories"=>["Neuroscience", "Medicine"], "users"=>["Cornelia Kranczioch", "Simon Mathews", "Philip Dean", "Annette Sterr"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009284.t001", "stats"=>{"downloads"=>3, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_CNV_amplitudes_for_both_sessions_and_all_conditions_for_the_early_700_to1000_ms_and_late_1000_to_1300_ms_time_windows_/532817", "title"=>"CNV amplitudes for both sessions and all conditions for the early (700 to1000 ms) and late (1000 to 1300 ms) time windows.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 02:35:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/861961"], "description"=>"<p>Results are shown for (A) execution and (B) imagination sessions. (A, B) Amplitudes are pooled over fifteen central electrode sites (FC1 to 4, FCz, C1 to 4, Cz, CP1 to 4, CPz) in each condition for early and late time windows. Significant differences are indicated at the .05 (*), .01 (**) and .005 (***) level. Error bars show ±1 standard error.</p>", "links"=>[], "tags"=>["cnv"], "article_id"=>532422, "categories"=>["Neuroscience", "Medicine"], "users"=>["Cornelia Kranczioch", "Simon Mathews", "Philip Dean", "Annette Sterr"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009284.g003", "stats"=>{"downloads"=>3, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Grand_average_CNV_amplitudes_/532422", "title"=>"Grand average CNV amplitudes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 02:33:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/861652"], "description"=>"<p>(A) Experimental conditions and associated stimuli. S1 and S2 arrow stimuli are shown followed by the required tapping sequence. Shades of grey represent different arrow colours (blue, pink and green) per condition (counterbalanced across participants). Total trial counts are shown below the condition name for left (L) and right (R) hands. Grey dots next to the fingers indicate the thumb-finger tap sequence in each condition. (B) An example trial sequence showing a complex left hand trial.</p>", "links"=>[], "tags"=>["neuroscience/cognitive neuroscience", "neurological disorders/neuroimaging", "radiology and medical imaging/magnetic resonance imaging", "neuroscience/psychology", "neuroscience/experimental psychology"], "article_id"=>532102, "categories"=>["Neuroscience", "Medicine"], "users"=>["Cornelia Kranczioch", "Simon Mathews", "Philip Dean", "Annette Sterr"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009284.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Experimental_design_/532102", "title"=>"Experimental design.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 02:31:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/861854"], "description"=>"<p>Results are shown for (A) execution and (B) imagination sessions. Maps are shown for respectively six consecutive 100 ms time windows during the early and late CNV projected onto a realistic head surface for each condition. Scale is .5µV/step. Plotted electrodes define a 5 x 5 grid for formal testing of topographical differences. Starred maps indicate significant differences between execution and imagination sessions at the .05 (*) and .01 (**) level (uncorrected). Solutions are shown for execution (C) and imagination (D) sessions.</p>", "links"=>[], "tags"=>["topographical", "maps", "solutions", "differences", "sessions"], "article_id"=>532311, "categories"=>["Neuroscience", "Medicine"], "users"=>["Cornelia Kranczioch", "Simon Mathews", "Philip Dean", "Annette Sterr"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009284.g002", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_B_Grand_average_topographical_maps_and_C_D_minimum_norm_solutions_for_the_maps_in_A_and_B_for_which_significant_differences_between_execution_and_imagination_sessions_were_found_/532311", "title"=>"(A, B) Grand average topographical maps and (C, D) minimum norm solutions for the maps in A and B for which significant differences between execution and imagination sessions were found.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 02:33:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/862190"], "description"=>"<p>(A) EMG data for the imagination (IM) and execution (EX) sessions averaged across partial information (PIN), simple (SIM), and complex (COM) conditions and separately for left and right hand trials. (B) EMG data for the SIM and COM conditions of the EX session separately for left and right hand trials.</p>", "links"=>[], "tags"=>["emg"], "article_id"=>532649, "categories"=>["Neuroscience", "Medicine"], "users"=>["Cornelia Kranczioch", "Simon Mathews", "Philip Dean", "Annette Sterr"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009284.g005", "stats"=>{"downloads"=>3, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Grand_average_EMG_data_/532649", "title"=>"Grand average EMG data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 02:35:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/862129"], "description"=>"<p>Results are shown for (A) execution and (B) imagination sessions. (A, B) Shown is the CNV at electrode sites FCz, Cz and CPz and pooled over fifteen central electrode sites (Mean; FC1 to 4, FCz, C1 to 4, Cz, CP1 to 4, CPz) in each condition. Shaded bars indicate the early and late time windows selected for formal analysis of CNV.</p>", "links"=>[], "tags"=>["foreperiod"], "article_id"=>532591, "categories"=>["Neuroscience", "Medicine"], "users"=>["Cornelia Kranczioch", "Simon Mathews", "Philip Dean", "Annette Sterr"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009284.g004", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Grand_average_foreperiod_CNV_/532591", "title"=>"Grand average foreperiod CNV.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 02:34:40"}

PMC Usage Stats | Further Information

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Relative Metric

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