Intra- and Inter-Task Reliability of Spatial Attention Measures in Pseudoneglect
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{"title"=>"Intra-and inter-task reliability of spatial attention measures in pseudoneglect", "type"=>"journal", "authors"=>[{"first_name"=>"Gemma", "last_name"=>"Learmonth", "scopus_author_id"=>"35315982400"}, {"first_name"=>"Aodhan", "last_name"=>"Gallagher", "scopus_author_id"=>"8976761800"}, {"first_name"=>"Jamie", "last_name"=>"Gibson", "scopus_author_id"=>"56937645700"}, {"first_name"=>"Gregor", "last_name"=>"Thut", "scopus_author_id"=>"6701774739"}, {"first_name"=>"Monika", "last_name"=>"Harvey", "scopus_author_id"=>"7202675460"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84945980951", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-84945980951", "pui"=>"606624526", "pmid"=>"26378925", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0138379"}, "id"=>"fcb8a358-6f64-356a-9d32-1fa046892986", "abstract"=>"<p>Healthy young adults display a leftward asymmetry of spatial attention (“pseudoneglect”) that has been measured with a wide range of different tasks. Yet at present there is a lack of systematic evidence that the tasks commonly used in research today are i) stable measures over time and ii) provide similar measures of spatial bias. Fifty right-handed young adults were tested on five tasks (<italic>manual line bisection</italic>, <italic>landmark</italic>, <italic>greyscales</italic>, <italic>gratingscales</italic> and <italic>lateralised visual detection</italic>) on two different days. All five tasks were found to be stable measures of bias over the two testing sessions, indicating that each is a reliable measure in itself. Surprisingly, no strongly significant inter-task correlations were found. However, principal component analysis revealed left-right asymmetries to be subdivided in 4 main components, namely asymmetries in size judgements (<italic>manual line bisection</italic> and <italic>landmark</italic>), luminance judgements (<italic>greyscales</italic>), stimulus detection (<italic>lateralised visual detection</italic>) and judgements of global/local features (<italic>manual line bisection</italic> and <italic>grating scales</italic>). The results align with recent research on hemispatial neglect which conceptualises the condition as multi-component rather than a single pathological deficit of spatial attention. We conclude that spatial biases in judgment of visual stimulus features in healthy adults (e.g., pseudoneglect) is also a multi-component phenomenon that may be captured by variations in task demands which engage task-dependent patterns of activation within the attention network.</p>", "link"=>"http://www.mendeley.com/research/intraand-intertask-reliability-spatial-attention-measures-pseudoneglect", "reader_count"=>31, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Researcher"=>5, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>7, "Student > Master"=>2, "Student > Bachelor"=>5, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Researcher"=>5, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>7, "Student > Master"=>2, "Student > Bachelor"=>5, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>5, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>3, "Neuroscience"=>2, "Psychology"=>18, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Neuroscience"=>{"Neuroscience"=>2}, "Psychology"=>{"Psychology"=>18}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Unspecified"=>{"Unspecified"=>5}}, "reader_count_by_country"=>{"Finland"=>1, "Italy"=>1, "Australia"=>1, "France"=>1, "Switzerland"=>1}, "group_count"=>4}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2268937"], "description"=>"<div><p>Healthy young adults display a leftward asymmetry of spatial attention (“pseudoneglect”) that has been measured with a wide range of different tasks. Yet at present there is a lack of systematic evidence that the tasks commonly used in research today are i) stable measures over time and ii) provide similar measures of spatial bias. Fifty right-handed young adults were tested on five tasks (<i>manual line bisection</i>, <i>landmark</i>, <i>greyscales</i>, <i>gratingscales</i> and <i>lateralised visual detection</i>) on two different days. All five tasks were found to be stable measures of bias over the two testing sessions, indicating that each is a reliable measure in itself. Surprisingly, no strongly significant inter-task correlations were found. However, principal component analysis revealed left-right asymmetries to be subdivided in 4 main components, namely asymmetries in size judgements (<i>manual line bisection</i> and <i>landmark</i>), luminance judgements (<i>greyscales</i>), stimulus detection (<i>lateralised visual detection</i>) and judgements of global/local features (<i>manual line bisection</i> and <i>grating scales</i>). The results align with recent research on hemispatial neglect which conceptualises the condition as multi-component rather than a single pathological deficit of spatial attention. We conclude that spatial biases in judgment of visual stimulus features in healthy adults (e.g., pseudoneglect) is also a multi-component phenomenon that may be captured by variations in task demands which engage task-dependent patterns of activation within the attention network.</p></div>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547137, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379", "stats"=>{"downloads"=>12, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Intra_and_Inter_Task_Reliability_of_Spatial_Attention_Measures_in_Pseudoneglect_/1547137", "title"=>"Intra- and Inter-Task Reliability of Spatial Attention Measures in Pseudoneglect", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268922"], "description"=>"<p><b>1a)</b> Stimulus B is centred at the horizontal midpoint of the screen. Stimuli A and C represent the most extremely deviated stimuli along the horizontal axis, with Stimulus A jittered 160 pixels (3.8° visual angle (VA)) leftward and C jittered 160 pixels rightward relative to centre. <b>1b)</b> The left and right sides of Stimulus A are of equal length, the left side of B is shorter by 24 pixels (0.53°) and the right side of C shorter by 24 pixels. <b>1c)</b> A central “zone of interest” (640 pixels wide, 15.1°) was shifted in 10-pixel (0.24°) increments leftward and rightward. The shading gradient is continuous from left to right in Stimulus A and the central section is shifted leftward by -80 pixels (1.9°) in B. <b>1d)</b> A 400-pixel wide (9.47°) zone of interest was shifted in 12-pixel (0.29°) increments leftward and rightward. The zone is centred in Stimulus A and shifted rightward by 96 pixels (2.28°) in B.</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547122, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.g001", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Examples_of_the_a_manual_line_bisection_MLB_b_landmark_LM_c_greyscales_GRE_and_d_gratingscales_GRA_stimuli_/1547122", "title"=>"Examples of the (a) manual line bisection (MLB), (b) landmark (LM), (c) greyscales (GRE) and (d) gratingscales (GRA) stimuli.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268924"], "description"=>"<p>* represents a significant leftward bias (p<0.002).</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547124, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.g002", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_bias_for_the_MLB_task_/1547124", "title"=>"Mean bias for the MLB task.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268925"], "description"=>"<p>The asymmetry of the presented stimulus is shown on the x-axis, where 0 = “both sides equal length” (LM) or “both bars equal darkness/thin stripes” (GRE/GRA respectively). Negative asymmetry values represent trials where the target feature is located on the left side and positive values on the right side. One unit on the x-axis equates to 3 pixels (0.07°) for the LM task, 10 pixels (0.24°) for GRE and 12 pixels (0.29°) for GRA.</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547125, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.g003", "stats"=>{"downloads"=>2, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_psychometric_function_curves_for_the_LM_GRE_and_GRA_tasks_/1547125", "title"=>"Mean psychometric function curves for the LM, GRE and GRA tasks.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268926"], "description"=>"<p>Separate curves for the left and right VFs are shown, across the 5 stimulus sizes.</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547126, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.g004", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_detection_accuracy_for_the_LVD_task_/1547126", "title"=>"Mean detection accuracy for the LVD task.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268928"], "description"=>"<p>Negative and positive values represent leftward and rightward biases respectively. The LM and MLB tasks show significantly leftward biases on both days and the GRE rightward on Day 1 only (± standard error of the mean (SEM)). The LVD task (d’ and PF 50%) is presented separately on the lower axes for clarity, due to smaller bias values. * represents a significant attentional bias compared to zero (p<0.05).</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547128, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.g005", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Grand_average_spatial_attention_bias_for_the_5_tasks_/1547128", "title"=>"Grand average spatial attention bias for the 5 tasks.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268930"], "description"=>"<p>Day 1 vs Day 2 biases are significantly correlated for all 5 tasks (i.e. each task provides a stable measure) over the two testing days (all p-values <0.05). Line of best fit and 95% confidence intervals are marked. * represents a significant correlation at α = 0.05.</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547130, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.g006", "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Intra_task_correlations_/1547130", "title"=>"Intra-task correlations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268932"], "description"=>"<p>Only the mean task biases (Day 1 and Day 2 averaged) for the MLB and GRA tasks were significantly correlated at α = 0.05 prior to correction, with all other comparisons p>0.05. * represents significant correlation at α = 0.05 but not when Bonferroni corrected to α = 0.005.</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547132, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.g007", "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Inter_task_correlations_/1547132", "title"=>"Inter-task correlations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268934"], "description"=>"<p>Visualisation of principal component analysis (PCA) loadings.</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547134, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.g008", "stats"=>{"downloads"=>4, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Visualisation_of_principal_component_analysis_PCA_loadings_/1547134", "title"=>"Visualisation of principal component analysis (PCA) loadings.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-17 03:02:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/2268935"], "description"=>"<p>PCA loadings.</p>", "links"=>[], "tags"=>["judgement", "stimulus", "detection", "research", "line bisection", "component", "lateralised", "asymmetrie", "greyscale", "Spatial Attention Measures", "bias", "task", "pseudoneglect", "landmark"], "article_id"=>1547135, "categories"=>["Uncategorised"], "users"=>["Gemma Learmonth", "Aodhan Gallagher", "Jamie Gibson", "Gregor Thut", "Monika Harvey"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0138379.t002", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_PCA_loadings_/1547135", "title"=>"PCA loadings.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-09-17 03:02:19"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"11", "full-text"=>"13", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"22", "full-text"=>"25", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"10", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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