Investigating the Temporal Patterns within and between Intrinsic Connectivity Networks under Eyes-Open and Eyes-Closed Resting States: A Dynamical Functional Connectivity Study Based on Phase Synchronization
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{"title"=>"Investigating the temporal patterns within and between intrinsic connectivity networks under eyes-open and eyes-closed resting states: A dynamical functional connectivity study based on phase synchronization", "type"=>"journal", "authors"=>[{"first_name"=>"Xun Heng", "last_name"=>"Wang", "scopus_author_id"=>"14020786600"}, {"first_name"=>"Lihua", "last_name"=>"Li", "scopus_author_id"=>"7501447027"}, {"first_name"=>"Tao", "last_name"=>"Xu", "scopus_author_id"=>"56988304000"}, {"first_name"=>"Zhongxiang", "last_name"=>"Ding", "scopus_author_id"=>"14026439800"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"607111857", "pmid"=>"26469182", "doi"=>"10.1371/journal.pone.0140300", "issn"=>"19326203", "scopus"=>"2-s2.0-84949034871", "sgr"=>"84949034871", "isbn"=>"1932-6203 (Electronic)\r1932-6203 (Linking)"}, "id"=>"02faa5d3-ca93-32cf-be79-3454afe952a4", "abstract"=>"<p>The brain active patterns were organized differently under resting states of eyes open (EO) and eyes closed (EC). The altered voxel-wise and regional-wise resting state active patterns under EO/EC were found by static analysis. More importantly, dynamical spontaneous functional connectivity has been observed in the resting brain. To the best of our knowledge, the dynamical mechanisms of intrinsic connectivity networks (ICNs) under EO/EC remain largely unexplored. The goals of this paper were twofold: 1) investigating the dynamical intra-ICN and inter-ICN temporal patterns during resting state; 2) analyzing the altered dynamical temporal patterns of ICNs under EO/EC. To this end, a cohort of healthy subjects with scan conditions of EO/EC were recruited from 1000 Functional Connectomes Project. Through Hilbert transform, time-varying phase synchronization (PS) was applied to evaluate the inter-ICN synchrony. Meanwhile, time-varying amplitude was analyzed as dynamical intra-ICN temporal patterns. The results found six micro-states of inter-ICN synchrony. The medial visual network (MVN) showed decreased intra-ICN amplitude during EC relative to EO. The sensory-motor network (SMN) and auditory network (AN) exhibited enhanced intra-ICN amplitude during EC relative to EO. Altered inter-ICN PS was found between certain ICNs. Particularly, the SMN and AN exhibited enhanced PS to other ICNs during EC relative to EO. In addition, the intra-ICN amplitude might influence the inter-ICN synchrony. Moreover, default mode network (DMN) might play an important role in information processing during EO/EC. Together, the dynamical temporal patterns within and between ICNs were altered during different scan conditions of EO/EC. Overall, the dynamical intra-ICN and inter-ICN temporal patterns could benefit resting state fMRI-related research, and could be potential biomarkers for human functional connectome.</p>", "link"=>"http://www.mendeley.com/research/investigating-temporal-patterns-within-between-intrinsic-connectivity-networks-under-eyesopen-eyescl", "reader_count"=>24, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>3, "Researcher"=>8, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Student > Master"=>1, "Student > Bachelor"=>2, "Lecturer"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>3, "Researcher"=>8, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Student > Master"=>1, "Student > Bachelor"=>2, "Lecturer"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Unspecified"=>5, "Agricultural and Biological Sciences"=>6, "Medicine and Dentistry"=>2, "Neuroscience"=>5, "Psychology"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Neuroscience"=>{"Neuroscience"=>5}, "Psychology"=>{"Psychology"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Unspecified"=>{"Unspecified"=>5}}, "reader_count_by_country"=>{"United States"=>2, "United Kingdom"=>1, "Chile"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2362121"], "description"=>"<p><sup>a</sup> p<10<sup>−10</sup></p><p><sup>b</sup> p<0.0001</p><p><sup>c</sup> p<0.01</p><p>Relationships of DMN amplitude and DMN strength.</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577403, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.t002", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relationships_of_DMN_amplitude_and_DMN_strength_/1577403", "title"=>"Relationships of DMN amplitude and DMN strength.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362120"], "description"=>"<p>Names of 10 ICNs.</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577402, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.t001", "stats"=>{"downloads"=>6, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Names_of_10_ICNs_/1577402", "title"=>"Names of 10 ICNs.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362115"], "description"=>"<p>Subfigures A, B, C, D, E and F denote states 1, 2, 3, 4, 5, and 6, respectively. Red lines denote increased PS during EC relative to EO. Blue lines denote decreased PS during EC relative to EO. Red circles denote increased amplitude during EC relative to EO. Blue circles denote decreased amplitude during EC relative to EO. (<i>p</i> < 0.001,FDR corrected).</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577397, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.g006", "stats"=>{"downloads"=>2, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Altered_inter_ICN_dynamical_PS_and_intra_ICN_amplitude_under_EO_and_EC_/1577397", "title"=>"Altered inter-ICN dynamical PS and intra-ICN amplitude under EO and EC.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362114"], "description"=>"<p>Subfigures A, B, C, D, E and F denote states 1, 2, 3, 4, 5, and 6, respectively.</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577396, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.g005", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_dynamical_intra_ICN_amplitude_of_each_cluster_/1577396", "title"=>"Mean dynamical intra-ICN amplitude of each cluster.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362109"], "description"=>"<p>The red rectangles denote the boundaries of clusters. The blue numbers denote the indices of clusters.</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577391, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.g002", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dendogram_of_clustering_of_dynamical_inter_ICN_PS_/1577391", "title"=>"Dendogram of clustering of dynamical inter-ICN PS.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362110"], "description"=>"<p>Subfigure A denotes the pie chart of clusters for eyes-closed resting state. Subfigure B denotes the pie chart of clusters for eyes-open resting state. The red, blue, green, baby blue, pink, and yellow colors denote clusters 1, 2, 3, 4, 5, and 6, respectively.</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577392, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.g003", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percentages_of_clusters_of_dynamical_inter_ICN_PS_/1577392", "title"=>"Percentages of clusters of dynamical inter-ICN PS.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362108"], "description"=>"<p>The time-courses of ICNs are generated with GLMs. The time-varying amplitude and phase synchronization are obtained from Hilbert transform. After removing motion artifacts, the micro-states of dynamical synchrony are detected by hierarchical clustering analysis.</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577390, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.g001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Data_processing_flowchart_/1577390", "title"=>"Data processing flowchart.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362137", "https://ndownloader.figshare.com/files/2362138", "https://ndownloader.figshare.com/files/2362139", "https://ndownloader.figshare.com/files/2362140", "https://ndownloader.figshare.com/files/2362141", "https://ndownloader.figshare.com/files/2362142", "https://ndownloader.figshare.com/files/2362143", "https://ndownloader.figshare.com/files/2362144", "https://ndownloader.figshare.com/files/2362145", "https://ndownloader.figshare.com/files/2362146", "https://ndownloader.figshare.com/files/2362147"], "description"=>"<div><p>The brain active patterns were organized differently under resting states of eyes open (EO) and eyes closed (EC). The altered voxel-wise and regional-wise resting state active patterns under EO/EC were found by static analysis. More importantly, dynamical spontaneous functional connectivity has been observed in the resting brain. To the best of our knowledge, the dynamical mechanisms of intrinsic connectivity networks (ICNs) under EO/EC remain largely unexplored. The goals of this paper were twofold: 1) investigating the dynamical intra-ICN and inter-ICN temporal patterns during resting state; 2) analyzing the altered dynamical temporal patterns of ICNs under EO/EC. To this end, a cohort of healthy subjects with scan conditions of EO/EC were recruited from 1000 Functional Connectomes Project. Through Hilbert transform, time-varying phase synchronization (PS) was applied to evaluate the inter-ICN synchrony. Meanwhile, time-varying amplitude was analyzed as dynamical intra-ICN temporal patterns. The results found six micro-states of inter-ICN synchrony. The medial visual network (MVN) showed decreased intra-ICN amplitude during EC relative to EO. The sensory-motor network (SMN) and auditory network (AN) exhibited enhanced intra-ICN amplitude during EC relative to EO. Altered inter-ICN PS was found between certain ICNs. Particularly, the SMN and AN exhibited enhanced PS to other ICNs during EC relative to EO. In addition, the intra-ICN amplitude might influence the inter-ICN synchrony. Moreover, default mode network (DMN) might play an important role in information processing during EO/EC. Together, the dynamical temporal patterns within and between ICNs were altered during different scan conditions of EO/EC. Overall, the dynamical intra-ICN and inter-ICN temporal patterns could benefit resting state fMRI-related research, and could be potential biomarkers for human functional connectome.</p></div>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577419, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0140300.s001", "https://dx.doi.org/10.1371/journal.pone.0140300.s002", "https://dx.doi.org/10.1371/journal.pone.0140300.s003", "https://dx.doi.org/10.1371/journal.pone.0140300.s004", "https://dx.doi.org/10.1371/journal.pone.0140300.s005", "https://dx.doi.org/10.1371/journal.pone.0140300.s006", "https://dx.doi.org/10.1371/journal.pone.0140300.s007", "https://dx.doi.org/10.1371/journal.pone.0140300.s008", "https://dx.doi.org/10.1371/journal.pone.0140300.s009", "https://dx.doi.org/10.1371/journal.pone.0140300.s010", "https://dx.doi.org/10.1371/journal.pone.0140300.s011"], "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Investigating_the_Temporal_Patterns_within_and_between_Intrinsic_Connectivity_Networks_under_Eyes_Open_and_Eyes_Closed_Resting_States_A_Dynamical_Functional_Connectivity_Study_Based_on_Phase_Synchronization_/1577419", "title"=>"Investigating the Temporal Patterns within and between Intrinsic Connectivity Networks under Eyes-Open and Eyes-Closed Resting States: A Dynamical Functional Connectivity Study Based on Phase Synchronization", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362119"], "description"=>"<p>Subfigures A, B, C, D, E and F denote states 1, 2, 3, 4, 5, and 6, respectively. Blue rectangles represent increased linear relationships between DMN amplitude and network PS during EC relative to EO. Red rectangles represent decreased linear relationships between DMN amplitude and network PS during EC relative to EO. (<i>p</i> < 0.001,FDR corrected).</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577401, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.g008", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Altered_relationships_of_DMN_amplitude_and_inter_ICN_PS_under_EO_and_EC_/1577401", "title"=>"Altered relationships of DMN amplitude and inter-ICN PS under EO and EC.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362117"], "description"=>"<p>Subfigures A, B, C, D, E and F denote states 1, 2, 3, 4, 5, and 6, respectively. Solid dots and lines represent EC-related resting state. Soft dots and dashed lines represent EO-related resting state.</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577399, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.g007", "stats"=>{"downloads"=>3, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_DMN_amplitude_correlates_DMN_strength_of_PS_for_EO_and_EC_/1577399", "title"=>"DMN amplitude correlates DMN strength of PS for EO and EC.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-15 04:06:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2362113"], "description"=>"<p>In each subfigure, the names of ICNs are listed in the diagonal line. Subfigures A, B, C, D, E and F denote states 1, 2, 3, 4, 5, and 6, respectively.</p>", "links"=>[], "tags"=>["scan conditions", "Dynamical Functional Connectivity Study", "dmn", "ps", "pattern", "Intrinsic Connectivity Networks", "1000 Functional Connectomes Project", "eo", "ec", "smn", "mvn", "amplitude", "default mode network", "icn"], "article_id"=>1577395, "categories"=>["Uncategorised"], "users"=>["Xun-Heng Wang", "LiHua Li", "Tao Xu", "Zhongxiang Ding"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0140300.g004", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_dynamical_inter_ICN_PS_of_each_cluster_/1577395", "title"=>"Mean dynamical inter-ICN PS of each cluster.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-10-15 04:06:35"}

PMC Usage Stats | Further Information

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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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