Brain Networks Responsible for Sense of Agency: An EEG Study
Publication Date
August 13, 2015
Journal
PLOS ONE
Authors
Suk Yun Kang, Chang Hwan Im, Miseon Shim, Fatta B. Nahab, et al
Volume
10
Issue
8
Pages
e0135261
DOI
https://dx.plos.org/10.1371/journal.pone.0135261
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0135261
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/26270552
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536203
Europe PMC
http://europepmc.org/abstract/MED/26270552
Web of Science
000359492800046
Scopus
84943149449
Mendeley
http://www.mendeley.com/research/brain-networks-responsible-sense-agency-eeg-study
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Mendeley | Further Information

{"title"=>"Brain networks responsible for sense of agency: An EEG study", "type"=>"journal", "authors"=>[{"first_name"=>"Suk Yun", "last_name"=>"Kang", "scopus_author_id"=>"56849664300"}, {"first_name"=>"Chang Hwan", "last_name"=>"Im", "scopus_author_id"=>"7005671177"}, {"first_name"=>"Miseon", "last_name"=>"Shim", "scopus_author_id"=>"55172770200"}, {"first_name"=>"Fatta B.", "last_name"=>"Nahab", "scopus_author_id"=>"18134026900"}, {"first_name"=>"Jihye", "last_name"=>"Park", "scopus_author_id"=>"57196405323"}, {"first_name"=>"Do Won", "last_name"=>"Kim", "scopus_author_id"=>"56965771200"}, {"first_name"=>"John", "last_name"=>"Kakareka", "scopus_author_id"=>"6507296798"}, {"first_name"=>"Nathanial", "last_name"=>"Miletta", "scopus_author_id"=>"50361781500"}, {"first_name"=>"Mark", "last_name"=>"Hallett", "scopus_author_id"=>"55552602400"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84943149449", "pmid"=>"26270552", "pui"=>"606195940", "issn"=>"19326203", "isbn"=>"1932-6203 (Electronic)\r1932-6203 (Linking)", "scopus"=>"2-s2.0-84943149449", "doi"=>"10.1371/journal.pone.0135261"}, "id"=>"9b55f008-51d8-3349-8d30-30142ff3f722", "abstract"=>"BACKGROUND: Self-agency (SA) is a person's feeling that his action was generated by himself. The neural substrates of SA have been investigated in many neuroimaging studies, but the functional connectivity of identified regions has rarely been investigated. The goal of this study is to investigate the neural network related to SA.\\n\\nMETHODS: SA of hand movements was modulated with virtual reality. We examined the cortical network relating to SA modulation with electroencephalography (EEG) power spectrum and phase coherence of alpha, beta, and gamma frequency bands in 16 right-handed, healthy volunteers.\\n\\nRESULTS: In the alpha band, significant relative power changes and phase coherence of alpha band were associated with SA modulation. The relative power decrease over the central, bilateral parietal, and right temporal regions (C4, Pz, P3, P4, T6) became larger as participants more effectively controlled the virtual hand movements. The phase coherence of the alpha band within frontal areas (F7-FP2, F7-Fz) was directly related to changes in SA. The functional connectivity was lower as the participants felt that they could control their virtual hand. In the other frequency bands, significant phase coherences were observed in the frontal (or central) to parietal, temporal, and occipital regions during SA modulation (Fz-O1, F3-O1, Cz-O1, C3-T4L in beta band; FP1-T6, FP1-O2, F7-T4L, F8-Cz in gamma band).\\n\\nCONCLUSIONS: Our study suggests that alpha band activity may be the main neural oscillation of SA, which suggests that the neural network within the anterior frontal area may be important in the generation of SA.", "link"=>"http://www.mendeley.com/research/brain-networks-responsible-sense-agency-eeg-study", "reader_count"=>66, "reader_count_by_academic_status"=>{"Unspecified"=>5, "Professor > Associate Professor"=>4, "Researcher"=>14, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>3, "Student > Master"=>15, "Other"=>1, "Student > Bachelor"=>5, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>5, "Professor > Associate Professor"=>4, "Researcher"=>14, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>3, "Student > Master"=>15, "Other"=>1, "Student > Bachelor"=>5, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>8, "Engineering"=>3, "Nursing and Health Professions"=>4, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>2, "Neuroscience"=>12, "Philosophy"=>1, "Arts and Humanities"=>2, "Sports and Recreations"=>1, "Psychology"=>25, "Social Sciences"=>2, "Computer Science"=>3}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Neuroscience"=>{"Neuroscience"=>12}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>25}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>4}, "Unspecified"=>{"Unspecified"=>8}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Turkey"=>1, "Belgium"=>1, "Japan"=>3, "Brazil"=>1, "United Kingdom"=>1}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2211496"], "description"=>"<p>Each frequency band represents the group-averaged, relative power spectrum. (A) Topographic maps according to % control conditions. Higher number of the % control indicates better control of the subjects’ virtual hands (0% control, no control; 100% control, complete control). Blue colors indicate relative power decreases and red colors indicate power increases. (B) alpha (8–12 Hz) band. (C) beta (13–30 Hz) band. (D) gamma (31–50 Hz) band. In each frequency band, the bar charts in the rectangles show the changes of relative powers over sense of agency (SA) modulation in the corresponding electrodes of the individual rectangles. The insets at each electrode location are the ones with significant power changes using Friedman test. The dots indicate electrode positions. Overall, alpha bands are closely related to SA changes, compared with other frequency bands. The relative power changes over SA changes are significant in the central, bilateral parietal, and right temporal regions showing the relative power decreases are bigger at the higher level of % control. The asterisks indicate significant differences between the pairs of % control conditions (Bonferroni corrected p-values for pair-wise post-hoc analysis). *<i>p</i><0.05, **<i>p</i><0.01, ***<i>p</i><0.001.</p>", "links"=>[], "tags"=>["SA modulation", "eeg", "region", "fp", "gamma frequency bands", "hand movements", "phase coherence"], "article_id"=>1510261, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Suk Yun Kang", "Chang-Hwan Im", "Miseon Shim", "Fatta B. Nahab", "Jihye Park", "Do-Won Kim", "John Kakareka", "Nathanial Miletta", "Mark Hallett"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0135261.g003", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Frequency_specific_relative_power_changes_over_SA_modulation_/1510261", "title"=>"Frequency-specific relative power changes over SA modulation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-13 03:11:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/2211485"], "description"=>"<p>The location of all recording electrodes in the international 10–20 EEG system.</p>", "links"=>[], "tags"=>["SA modulation", "eeg", "region", "fp", "gamma frequency bands", "hand movements", "phase coherence"], "article_id"=>1510251, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Suk Yun Kang", "Chang-Hwan Im", "Miseon Shim", "Fatta B. Nahab", "Jihye Park", "Do-Won Kim", "John Kakareka", "Nathanial Miletta", "Mark Hallett"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0135261.g001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_location_of_all_recording_electrodes_in_the_international_10_8211_20_EEG_system_/1510251", "title"=>"The location of all recording electrodes in the international 10–20 EEG system.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-13 03:11:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/2211500", "https://ndownloader.figshare.com/files/2211501"], "description"=>"<div><p>Background</p><p>Self-agency (SA) is a person’s feeling that his action was generated by himself. The neural substrates of SA have been investigated in many neuroimaging studies, but the functional connectivity of identified regions has rarely been investigated. The goal of this study is to investigate the neural network related to SA.</p><p>Methods</p><p>SA of hand movements was modulated with virtual reality. We examined the cortical network relating to SA modulation with electroencephalography (EEG) power spectrum and phase coherence of alpha, beta, and gamma frequency bands in 16 right-handed, healthy volunteers.</p><p>Results</p><p>In the alpha band, significant relative power changes and phase coherence of alpha band were associated with SA modulation. The relative power decrease over the central, bilateral parietal, and right temporal regions (C4, Pz, P3, P4, T6) became larger as participants more effectively controlled the virtual hand movements. The phase coherence of the alpha band within frontal areas (F7-FP2, F7-Fz) was directly related to changes in SA. The functional connectivity was lower as the participants felt that they could control their virtual hand. In the other frequency bands, significant phase coherences were observed in the frontal (or central) to parietal, temporal, and occipital regions during SA modulation (Fz-O1, F3-O1, Cz-O1, C3-T4L in beta band; FP1-T6, FP1-O2, F7-T4L, F8-Cz in gamma band).</p><p>Conclusions</p><p>Our study suggests that alpha band activity may be the main neural oscillation of SA, which suggests that the neural network within the anterior frontal area may be important in the generation of SA.</p></div>", "links"=>[], "tags"=>["SA modulation", "eeg", "region", "fp", "gamma frequency bands", "hand movements", "phase coherence"], "article_id"=>1510265, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Suk Yun Kang", "Chang-Hwan Im", "Miseon Shim", "Fatta B. Nahab", "Jihye Park", "Do-Won Kim", "John Kakareka", "Nathanial Miletta", "Mark Hallett"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0135261.s001", "https://dx.doi.org/10.1371/journal.pone.0135261.s002"], "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Brain_Networks_Responsible_for_Sense_of_Agency_An_EEG_Study_/1510265", "title"=>"Brain Networks Responsible for Sense of Agency: An EEG Study", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-08-13 03:11:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/2211490"], "description"=>"<p>The x-axis indicates the degree of % control of virtual hand movements in the monitor. The y-axis indicates the value (mean ± SEM) of % control that participants report (i.e., subjective feelings). Perception of control is well correlated with the presentation level of the virtual hands in the monitor. These results are consistent with a previous study in our lab (Nahab et al., 2011).</p>", "links"=>[], "tags"=>["SA modulation", "eeg", "region", "fp", "gamma frequency bands", "hand movements", "phase coherence"], "article_id"=>1510257, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Suk Yun Kang", "Chang-Hwan Im", "Miseon Shim", "Fatta B. Nahab", "Jihye Park", "Do-Won Kim", "John Kakareka", "Nathanial Miletta", "Mark Hallett"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0135261.g002", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Behavioral_data_of_visual_feedback_of_virtual_hand_movements_in_16_participants_/1510257", "title"=>"Behavioral data of visual feedback of virtual hand movements in 16 participants.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-13 03:11:25"}
  • {"files"=>["https://ndownloader.figshare.com/files/2211498"], "description"=>"<p>(A) alpha (8–12 Hz) band. (B) beta (13–30 Hz) band. (C) gamma (31–50 Hz) band. In each frequency band, topographic maps show group-averaged, phase coherence. The dots indicate electrode positions. Red lines indicate significant phase coherence increases and blue lines indicate significant phase coherence decreases, compared to the value of phase coherence in the resting condition. Graphs represent the pairs of electrodes showing significant phase coherence changes according to SA modulation. The bar charts show the electrode pairs with significant variations of phase coherence according to SA changes in three frequency bands (alpha, beta, gamma). The asterisks indicate significant differences between the pairs of % control condition (Bonferroni corrected p-values for pair-wise post-hoc analysis). *<i>p</i><0.05, **<i>p</i><0.01.</p>", "links"=>[], "tags"=>["SA modulation", "eeg", "region", "fp", "gamma frequency bands", "hand movements", "phase coherence"], "article_id"=>1510263, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Suk Yun Kang", "Chang-Hwan Im", "Miseon Shim", "Fatta B. Nahab", "Jihye Park", "Do-Won Kim", "John Kakareka", "Nathanial Miletta", "Mark Hallett"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0135261.g004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Frequency_specific_phase_coherence_changes_over_SA_modulation_/1510263", "title"=>"Frequency-specific phase coherence changes over SA modulation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-13 03:11:25"}

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Relative Metric

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