Functional Cortical Network in Alpha Band Correlates with Social Bargaining
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{"title"=>"Functional cortical network in alpha band correlates with social bargaining", "type"=>"journal", "authors"=>[{"first_name"=>"Pablo", "last_name"=>"Billeke", "scopus_author_id"=>"8229414600"}, {"first_name"=>"Francisco", "last_name"=>"Zamorano", "scopus_author_id"=>"36130783400"}, {"first_name"=>"Mario", "last_name"=>"Chavez", "scopus_author_id"=>"9242166800"}, {"first_name"=>"Diego", "last_name"=>"Cosmelli", "scopus_author_id"=>"6602343550"}, {"first_name"=>"Francisco", "last_name"=>"Aboitiz", "scopus_author_id"=>"56279089200"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"600099809", "sgr"=>"84907731813", "issn"=>"19326203", "pmid"=>"25286240", "scopus"=>"2-s2.0-84907731813", "doi"=>"10.1371/journal.pone.0109829", "isbn"=>"1932-6203"}, "id"=>"a4637614-699a-3f21-b959-d5d635734efc", "abstract"=>"Solving demanding tasks requires fast and flexible coordination among different brain areas. Everyday examples of this are the social dilemmas in which goals tend to clash, requiring one to weigh alternative courses of action in limited time. In spite of this fact, there are few studies that directly address the dynamics of flexible brain network integration during social interaction. To study the preceding, we carried out EEG recordings while subjects played a repeated version of the Ultimatum Game in both human (social) and computer (non-social) conditions. We found phase synchrony (inter-site-phase-clustering) modulation in alpha band that was specific to the human condition and independent of power modulation. The strength and patterns of the inter-site-phase-clustering of the cortical networks were also modulated, and these modulations were mainly in frontal and parietal regions. Moreover, changes in the individuals' alpha network structure correlated with the risk of the offers made only in social conditions. This correlation was independent of changes in power and inter-site-phase-clustering strength. Our results indicate that, when subjects believe they are participating in a social interaction, a specific modulation of functional cortical networks in alpha band takes place, suggesting that phase synchrony of alpha oscillations could serve as a mechanism by which different brain areas flexibly interact in order to adapt ongoing behavior in socially demanding contexts.", "link"=>"http://www.mendeley.com/research/functional-cortical-network-alpha-band-correlates-social-bargaining", "reader_count"=>35, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>4, "Student > Doctoral Student"=>4, "Researcher"=>3, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>1, "Student > Master"=>7, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>4, "Student > Doctoral Student"=>4, "Researcher"=>3, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>1, "Student > Master"=>7, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>4, "Unspecified"=>3, "Agricultural and Biological Sciences"=>3, "Neuroscience"=>8, "Business, Management and Accounting"=>1, "Psychology"=>13, "Social Sciences"=>1, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>4}, "Neuroscience"=>{"Neuroscience"=>8}, "Social Sciences"=>{"Social Sciences"=>1}, "Psychology"=>{"Psychology"=>13}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>3}}, "reader_count_by_country"=>{"Chile"=>1, "Germany"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/1707185/Figure_1.tif"], "description"=>"<p>Proposers (black box) and responders (gray box, computational simulations, see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0109829#s2\" target=\"_blank\">Methods</a>) played a repeated Ultimatum Game. The proposer makes an offer on how to split 100 Chilean pesos between the responder and himself/herself (offer phase). The responder decides to either accept or reject it (response phase). If the responder accepts the offer, the money is split as proposed, and if he/she rejects it, the money is lost. The response is shown on the screen during 1 s (feedback phase). Each game consists of 15 offers. At the beginning of each game, the proposer sees a cue that indicates if his/her partner is a human (“H”) or computer (“PC”).</p>", "links"=>[], "tags"=>["eeg", "phase synchrony", "Alpha Band Correlates", "brain network integration", "subject", "Functional Cortical Network", "strength", "modulation", "brain areas flexibly", "interaction"], "article_id"=>1195751, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Pablo Billeke", "Francisco Zamorano", "Mario Chavez", "Diego Cosmelli", "Francisco Aboitiz"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0109829.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Timeline_of_a_game_/1195751", "title"=>"Timeline of a game.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-10-06 03:39:16"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/1707187/Figure_2.tif"], "description"=>"<p><b>A, B,</b> Time-frequency charts of the difference between risky and save offers in human (<b>A</b>) and computer games (<b>B</b>). The upper panel shows differences in the overall power (dB) and the lower panel in strength of synchrony (inter-site-phase-clustering). <b>C, D</b> Inter-site-phase-clustering strength in alpha band (7–10 Hz) in safe (blue) and risky (red) offer in human (<b>C</b>) and computer (<b>D</b>) games. Areas represent the standard error of means. <b>E, F,</b> Difference between human and computer games in overall power (<b>E</b>) and synchrony (<b>F</b>). <b>A–F,</b> The non-significant areas are overshadowed and for each significant area, the scalp distribution of p-values is shown. Time-frequency charts and time line plots show the mean of the power or the sum of inter-site-phase-clustering strengths across all electrodes, and the topographic plots show the distribution of the significant time-frequency windows highlighted.</p>", "links"=>[], "tags"=>["eeg", "phase synchrony", "Alpha Band Correlates", "brain network integration", "subject", "Functional Cortical Network", "strength", "modulation", "brain areas flexibly", "interaction"], "article_id"=>1195753, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Pablo Billeke", "Francisco Zamorano", "Mario Chavez", "Diego Cosmelli", "Francisco Aboitiz"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0109829.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Scalp_levels_/1195753", "title"=>"Scalp levels.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-10-06 03:39:16"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/1707191/Figure_3.tif"], "description"=>"<p><b>A,</b> Cortical areas that represent each node in the global network (colors represent node indexes in random order). <b>B,</b> Areas where the synchrony (inter-site-phase-clustering) differences between risky and safe offers in human game were significant (FDR, q<0.05). <b>C,</b> Community structure of the population networks by conditions (colors represent de community index). Note that there are no main variations between risky and safe offers in the computer game, while there is a notorious variation in human games. <b>D,</b> Correlation between the differences in the risk of the offers made (logit of the probability to acceptance, risky offers – safe offers) and the change of the community structure per each subject. Note that only in human games there is a significant correlation. Blue depicts human games and red computer games.</p>", "links"=>[], "tags"=>["eeg", "phase synchrony", "Alpha Band Correlates", "brain network integration", "subject", "Functional Cortical Network", "strength", "modulation", "brain areas flexibly", "interaction"], "article_id"=>1195757, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Pablo Billeke", "Francisco Zamorano", "Mario Chavez", "Diego Cosmelli", "Francisco Aboitiz"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0109829.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Source_level_/1195757", "title"=>"Source level.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-10-06 03:39:16"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/1707192/Table_1.xls"], "description"=>"<p>Model of the risk of offers.</p>", "links"=>[], "tags"=>["eeg", "phase synchrony", "Alpha Band Correlates", "brain network integration", "subject", "Functional Cortical Network", "strength", "modulation", "brain areas flexibly", "interaction"], "article_id"=>1195758, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Pablo Billeke", "Francisco Zamorano", "Mario Chavez", "Diego Cosmelli", "Francisco Aboitiz"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0109829.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Model_of_the_risk_of_offers_/1195758", "title"=>"Model of the risk of offers.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-06 03:39:16"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/1707193/Table_2.xls"], "description"=>"<p>Model of the difference in modularity between risky and safe offer (Rand Index).</p>", "links"=>[], "tags"=>["eeg", "phase synchrony", "Alpha Band Correlates", "brain network integration", "subject", "Functional Cortical Network", "strength", "modulation", "brain areas flexibly", "interaction"], "article_id"=>1195759, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Pablo Billeke", "Francisco Zamorano", "Mario Chavez", "Diego Cosmelli", "Francisco Aboitiz"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0109829.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Model_of_the_difference_in_modularity_between_risky_and_safe_offer_Rand_Index_/1195759", "title"=>"Model of the difference in modularity between risky and safe offer (Rand Index).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-06 03:39:16"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/1707194/File_S1.docx"], "description"=>"<div><p>Solving demanding tasks requires fast and flexible coordination among different brain areas. Everyday examples of this are the social dilemmas in which goals tend to clash, requiring one to weigh alternative courses of action in limited time. In spite of this fact, there are few studies that directly address the dynamics of flexible brain network integration during social interaction. To study the preceding, we carried out EEG recordings while subjects played a repeated version of the Ultimatum Game in both human (social) and computer (non-social) conditions. We found phase synchrony (inter-site-phase-clustering) modulation in alpha band that was specific to the human condition and independent of power modulation. The strength and patterns of the inter-site-phase-clustering of the cortical networks were also modulated, and these modulations were mainly in frontal and parietal regions. Moreover, changes in the individuals’ alpha network structure correlated with the risk of the offers made only in social conditions. This correlation was independent of changes in power and inter-site-phase-clustering strength. Our results indicate that, when subjects believe they are participating in a social interaction, a specific modulation of functional cortical networks in alpha band takes place, suggesting that phase synchrony of alpha oscillations could serve as a mechanism by which different brain areas flexibly interact in order to adapt ongoing behavior in socially demanding contexts.</p></div>", "links"=>[], "tags"=>["eeg", "phase synchrony", "Alpha Band Correlates", "brain network integration", "subject", "Functional Cortical Network", "strength", "modulation", "brain areas flexibly", "interaction"], "article_id"=>1195760, "categories"=>["Biological Sciences", "Science Policy", "Ecology"], "users"=>["Pablo Billeke", "Francisco Zamorano", "Mario Chavez", "Diego Cosmelli", "Francisco Aboitiz"], "doi"=>["http://dx.doi.org/10.1371/journal.pone.0109829"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Functional_Cortical_Network_in_Alpha_Band_Correlates_with_Social_Bargaining_/1195760", "title"=>"Functional Cortical Network in Alpha Band Correlates with Social Bargaining", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-06 03:39:16"}

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