Aging and Error Processing: Age Related Increase in the Variability of the Error-Negativity Is Not Accompanied by Increase in Response Variability
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{"title"=>"Aging and error processing: Age related increase in the variability of the error-negativity is not accompanied by increase in response variability", "type"=>"journal", "authors"=>[{"first_name"=>"Sven", "last_name"=>"Hoffmann", "scopus_author_id"=>"36094540500"}, {"first_name"=>"Michael", "last_name"=>"Falkenstein", "scopus_author_id"=>"7004683697"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"79952230341", "pui"=>"361364903", "doi"=>"10.1371/journal.pone.0017482", "pmid"=>"21386986", "scopus"=>"2-s2.0-79952230341", "issn"=>"19326203", "isbn"=>"1932-6203"}, "id"=>"2ff90dcd-c8a4-3c27-a57b-b4c79fbc278f", "abstract"=>"BACKGROUND Several studies report an amplitude reduction of the error negativity (Ne or ERN), an event-related potential occurring after erroneous responses, in older participants. In earlier studies it was shown that the Ne can be explained by a single independent component. In the present study we aimed to investigate whether the Ne reduction usually found in older subjects is due to an altered component structure, i.e., a true alteration in response monitoring in older subjects. METHODOLOGY/PRINCIPAL FINDINGS Two age groups conducted two tasks with different stimulus response mappings and task difficulty. Both groups received fully balanced speed or accuracy instructions and an individually adapted deadline in both tasks. Event-related potentials, Independent Component analysis of EEG-data and between trial variability of the Ne were combined with analysis of error rates, coefficients of variation of RT-data and ex-Gaussian fittings to reaction times. The Ne was examined by means of ICA and PCA, yielding a prominent independent component on error trials, the Ne-IC. The Ne-IC was smaller in the older than the younger subjects for both speed and accuracy instructions. Also, the Ne-IC contributed to a much lesser extent to the Ne in older than in younger subjects. RT distribution parameters were not related to Ne/ERP-variability. CONCLUSIONS/SIGNIFICANCE The results show a genuine reduction as well as a different component structure of the Ne in older compared to young subjects. This reduction is not reflected in behaviour, apart from a general slowing of older participants. Also, the Ne decline in the elderly is not due to speed accuracy trade-off. Hence, the results indicate that older subjects can compensate the reduction in control reflected in the reduced Ne, at least in simple tasks that induce reaction slips.", "link"=>"http://www.mendeley.com/research/aging-error-processing-age-related-increase-variability-errornegativity-not-accompanied-increase-res", "reader_count"=>65, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>7, "Librarian"=>1, "Student > Doctoral Student"=>8, "Researcher"=>16, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>3, "Student > Master"=>7, "Other"=>2, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>3}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>7, "Librarian"=>1, "Student > Doctoral Student"=>8, "Researcher"=>16, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>3, "Student > Master"=>7, "Other"=>2, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>7, "Engineering"=>3, "Mathematics"=>1, "Agricultural and Biological Sciences"=>5, "Medicine and Dentistry"=>4, "Neuroscience"=>7, "Sports and Recreations"=>1, "Psychology"=>35, "Social Sciences"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Neuroscience"=>{"Neuroscience"=>7}, "Social Sciences"=>{"Social Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>35}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Computer Science"=>{"Computer Science"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>7}}, "reader_count_by_country"=>{"Canada"=>1, "Hungary"=>1, "United States"=>1, "Taiwan"=>1, "Germany"=>2}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/795177"], "description"=>"<p><u>Upper panel:</u> Dipole localizations of the Ne-IC cluster of the young group [Tal(x,y,z) = 2,10, 19; residual variance = 7.11%] and older subjects [Tal(x,y,z) = −1,10, 26; residual variance  = 7.1%].(young = green, old = blue). <u>Lower panel:</u> Contributions of the Ne-IC clusters of each group in the time-window from 0–150 ms following response. <i>Flanker task:</i> The Ne-IC of young subjects cluster accounted for about 51% of variation in the time window 0–150 ms following erroneous response. The Ne-IC of older participants accounted for about 11% of variation in the Ne time window. <i>Rotation task:</i> Here, Ne-IC cluster of older participants accounted for fewer percent of variation compared to younger subjects, too [39.8%<10.42%].</p>", "links"=>[], "tags"=>["localizations", "contributions", "ne-ic"], "article_id"=>465551, "categories"=>["Neuroscience"], "users"=>["Sven Hoffmann", "Michael Falkenstein"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017482.g003", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dipole_localizations_and_contributions_of_the_Ne_IC_cluster_to_the_grand_average_ERP_/465551", "title"=>"Dipole localizations and contributions of the Ne-IC cluster to the grand average ERP.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 20:16:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/795046"], "description"=>"<p>Estimation of the variability between trials in the Ne-time window for both tasks. Blue indicates less variability between trials; red indicates more variability between trials. Beside each topography a colour legend is provided indicating the number of principle components (PCs) explaining at least 90% of variance between trials. For example having a look at the topography of the young subjects in the flanker task, one can see that at FCz about three principle components explain at least 90% of variance between trials. In older participants (left) about five principle components explain at least 90% of variance between trials. Note that in general the signal is least variable at fronto-central positions and reflects the typical Ne-topography.</p>", "links"=>[], "tags"=>["components"], "article_id"=>465425, "categories"=>["Neuroscience"], "users"=>["Sven Hoffmann", "Michael Falkenstein"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017482.g002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Topographic_distribution_of_the_average_number_of_principle_components_accounting_for_90_of_variance_/465425", "title"=>"Topographic distribution of the average number of principle components accounting for 90% of variance.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 20:15:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/795282"], "description"=>"<p>Descriptive statistics by means of average reaction time[RT(mean)], standard deviation [RT(sd)] and ex-Gaussian parameters [µ,σ,τ].</p>", "links"=>[], "tags"=>["tasks"], "article_id"=>465658, "categories"=>["Neuroscience"], "users"=>["Sven Hoffmann", "Michael Falkenstein"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017482.t001", "stats"=>{"downloads"=>6, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Reaction_time_data_of_both_tasks_and_age_groups_/465658", "title"=>"Reaction time data of both tasks and age groups.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 20:16:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/794932"], "description"=>"<p>Red: Young subjects, black: older subjects. Zero indicates button press.</p>", "links"=>[], "tags"=>["negativity", "groups", "tasks", "parameterized"], "article_id"=>465303, "categories"=>["Neuroscience"], "users"=>["Sven Hoffmann", "Michael Falkenstein"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0017482.g001", "stats"=>{"downloads"=>2, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Error_related_negativity_response_related_for_both_groups_and_tasks_parameterized_at_FCz_/465303", "title"=>"Error-related negativity (response-related) for both groups and tasks parameterized at FCz.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 20:15:01"}

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Relative Metric

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