Modulatory Interactions of Resting-State Brain Functional Connectivity
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{"title"=>"Modulatory Interactions of Resting-State Brain Functional Connectivity", "type"=>"journal", "authors"=>[{"first_name"=>"Xin", "last_name"=>"Di", "scopus_author_id"=>"44061081500"}, {"first_name"=>"Bharat B.", "last_name"=>"Biswal", "scopus_author_id"=>"7005313518"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"24023609", "doi"=>"10.1371/journal.pone.0071163", "sgr"=>"84883347135", "isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)", "scopus"=>"2-s2.0-84883347135", "issn"=>"19326203", "pui"=>"369734553"}, "id"=>"c98780ce-090a-3f4d-b21e-af409f91e3f1", "abstract"=>"The functional brain connectivity studies are generally based on the synchronization of the resting-state functional magnetic resonance imaging (fMRI) signals. Functional connectivity measures usually assume a stable relationship over time; however, accumulating studies have reported time-varying properties of strength and spatial distribution of functional connectivity. The present study explored the modulation of functional connectivity between two regions by a third region using the physiophysiological interaction (PPI) technique. We first identified eight brain networks and two regions of interest (ROIs) representing each of the networks using a spatial independent component analysis. A voxel-wise analysis was conducted to identify regions that showed modulatory interactions (PPI) with the two ROIs of each network. Mostly, positive modulatory interactions were observed within regions involved in the same system. For example, the two regions of the dorsal attention network revealed modulatory interactions with the regions related to attention, while the two regions of the extrastriate network revealed modulatory interactions with the regions in the visual cortex. In contrast, the two regions of the default mode network (DMN) revealed negative modulatory interactions with the regions in the executive network, and vice versa, suggesting that the activities of one network may be associated with smaller within network connectivity of the competing network. These results validate the use of PPI analysis to study modulation of resting-state functional connectivity by a third region. The modulatory effects may provide a better understanding of complex brain functions.", "link"=>"http://www.mendeley.com/research/modulatory-interactions-restingstate-brain-functional-connectivity-3", "reader_count"=>62, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>5, "Researcher"=>19, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>19, "Student > Postgraduate"=>2, "Student > Master"=>8, "Student > Bachelor"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>5, "Researcher"=>19, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>19, "Student > Postgraduate"=>2, "Student > Master"=>8, "Student > Bachelor"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>9, "Engineering"=>5, "Agricultural and Biological Sciences"=>13, "Medicine and Dentistry"=>6, "Neuroscience"=>11, "Physics and Astronomy"=>3, "Psychology"=>14, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>5}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Neuroscience"=>{"Neuroscience"=>11}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Psychology"=>{"Psychology"=>14}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>13}, "Computer Science"=>{"Computer Science"=>1}, "Unspecified"=>{"Unspecified"=>9}}, "reader_count_by_country"=>{"Canada"=>1, "Austria"=>1, "United States"=>1, "Japan"=>1, "Finland"=>1, "United Kingdom"=>1, "Italy"=>1, "Germany"=>1}, "group_count"=>2}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1186796"], "description"=>"<p>The green circles represent the ROIs used in this PPI analysis. The maps were thresholded at p<0.05 FDR corrected with a heigth threshold of p<0.001. The x and z values represent the coordinates in the MNI space.</p>", "links"=>[], "tags"=>["biotechnology", "Bioengineering", "Biomedical Engineering", "neuroscience", "neuroimaging", "fmri", "Anatomy and physiology", "Mental health", "neurology", "radiology", "biophysics", "psychology", "correlated", "modulation", "connectivity", "dmn", "rois", "replication"], "article_id"=>785580, "categories"=>["Physics", "Medicine", "Engineering", "Biological Sciences", "Sociology"], "users"=>["Xin Di", "Bharat B. Biswal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0071163.g001", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Clusters_correlated_with_positive_in_hot_and_negative_in_cold_modulation_effect_of_the_functional_connectivity_between_the_two_DMN_ROIs_in_the_discovery_A_and_replication_B_samples_/785580", "title"=>"Clusters correlated with positive (in hot) and negative (in cold) modulation effect of the functional connectivity between the two DMN ROIs in the discovery (A) and replication (B) samples.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-08-30 02:12:18"}
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Relative Metric

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