Platelet Serotonin Transporter Function Predicts Default-Mode Network Activity
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{"title"=>"Platelet serotonin transporter function predicts default-mode network activity", "type"=>"journal", "authors"=>[{"first_name"=>"Christian", "last_name"=>"Scharinger", "scopus_author_id"=>"35746926300"}, {"first_name"=>"Ulrich", "last_name"=>"Rabl", "scopus_author_id"=>"35746859800"}, {"first_name"=>"Christian H.", "last_name"=>"Kasess", "scopus_author_id"=>"14527196700"}, {"first_name"=>"Bernhard M.", "last_name"=>"Meyer", "scopus_author_id"=>"56150824500"}, {"first_name"=>"Tina", "last_name"=>"Hofmaier", "scopus_author_id"=>"55788514300"}, {"first_name"=>"Kersten", "last_name"=>"Diers", "scopus_author_id"=>"23102648900"}, {"first_name"=>"Lucie", "last_name"=>"Bartova", "scopus_author_id"=>"36664229000"}, {"first_name"=>"Gerald", "last_name"=>"Pail", "scopus_author_id"=>"37117536800"}, {"first_name"=>"Wolfgang", "last_name"=>"Huf", "scopus_author_id"=>"37080692000"}, {"first_name"=>"Zeljko", "last_name"=>"Uzelac", "scopus_author_id"=>"53867167300"}, {"first_name"=>"Beate", "last_name"=>"Hartinger", "scopus_author_id"=>"36561661600"}, {"first_name"=>"Klaudius", "last_name"=>"Kalcher", "scopus_author_id"=>"37117087100"}, {"first_name"=>"Thomas", "last_name"=>"Perkmann", "scopus_author_id"=>"8904629500"}, {"first_name"=>"Helmuth", "last_name"=>"Haslacher", "scopus_author_id"=>"35086275700"}, {"first_name"=>"Andreas", "last_name"=>"Meyer-Lindenberg", "scopus_author_id"=>"35272702000"}, {"first_name"=>"Siegfried", "last_name"=>"Kasper", "scopus_author_id"=>"55486030100"}, {"first_name"=>"Michael", "last_name"=>"Freissmuth", "scopus_author_id"=>"7007080023"}, {"first_name"=>"Christian", "last_name"=>"Windischberger", "scopus_author_id"=>"6701477098"}, {"first_name"=>"Matthäus", "last_name"=>"Willeit", "scopus_author_id"=>"7003991154"}, {"first_name"=>"Rupert", "last_name"=>"Lanzenberger", "scopus_author_id"=>"6507161719"}, {"first_name"=>"Harald", "last_name"=>"Esterbauer", "scopus_author_id"=>"7102641471"}, {"first_name"=>"Burkhard", "last_name"=>"Brocke", "scopus_author_id"=>"6604062082"}, {"first_name"=>"Ewald", "last_name"=>"Moser", "scopus_author_id"=>"7203026271"}, {"first_name"=>"Harald H.", "last_name"=>"Sitte", "scopus_author_id"=>"6603677494"}, {"first_name"=>"Lukas", "last_name"=>"Pezawas", "scopus_author_id"=>"6603851781"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84899853498", "doi"=>"10.1371/journal.pone.0092543", "pui"=>"373020672", "issn"=>"19326203", "pmid"=>"24667541", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "scopus"=>"2-s2.0-84899853498"}, "id"=>"ac4008a1-5504-37ff-ac94-7a207722999b", "abstract"=>"BACKGROUND: The serotonin transporter (5-HTT) is abundantly expressed in humans by the serotonin transporter gene SLC6A4 and removes serotonin (5-HT) from extracellular space. A blood-brain relationship between platelet and synaptosomal 5-HT reuptake has been suggested, but it is unknown today, if platelet 5-HT uptake can predict neural activation of human brain networks that are known to be under serotonergic influence.\\n\\nMETHODS: A functional magnetic resonance study was performed in 48 healthy subjects and maximal 5-HT uptake velocity (Vmax) was assessed in blood platelets. We used a mixed-effects multilevel analysis technique (MEMA) to test for linear relationships between whole-brain, blood-oxygen-level dependent (BOLD) activity and platelet Vmax.\\n\\nRESULTS: The present study demonstrates that increases in platelet Vmax significantly predict default-mode network (DMN) suppression in healthy subjects independent of genetic variation within SLC6A4. Furthermore, functional connectivity analyses indicate that platelet Vmax is related to global DMN activation and not intrinsic DMN connectivity.\\n\\nCONCLUSION: This study provides evidence that platelet Vmax predicts global DMN activation changes in healthy subjects. Given previous reports on platelet-synaptosomal Vmax coupling, results further suggest an important role of neuronal 5-HT reuptake in DMN regulation.", "link"=>"http://www.mendeley.com/research/platelet-serotonin-transporter-function-predicts-defaultmode-network-activity", "reader_count"=>82, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>10, "Student > Doctoral Student"=>6, "Student > Ph. D. 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Student"=>22, "Student > Postgraduate"=>5, "Other"=>3, "Student > Master"=>15, "Student > Bachelor"=>8, "Lecturer"=>1, "Professor"=>7}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Agricultural and Biological Sciences"=>18, "Chemistry"=>2, "Computer Science"=>3, "Engineering"=>4, "Environmental Science"=>1, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>2, "Medicine and Dentistry"=>14, "Neuroscience"=>12, "Sports and Recreations"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>2, "Physics and Astronomy"=>3, "Psychology"=>12, "Social Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>14}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Psychology"=>{"Psychology"=>12}, "Unspecified"=>{"Unspecified"=>5}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>2}, "Engineering"=>{"Engineering"=>4}, "Chemistry"=>{"Chemistry"=>2}, "Neuroscience"=>{"Neuroscience"=>12}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>18}, "Computer Science"=>{"Computer Science"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}}, "reader_count_by_country"=>{"Austria"=>2, "Netherlands"=>1, "United States"=>1, "Brazil"=>1, "Poland"=>1, "United Kingdom"=>4, "France"=>1, "Australia"=>1, "Germany"=>2}, "group_count"=>0}

Scopus | Further Information

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  • {"files"=>["https://ndownloader.figshare.com/files/1434509", "https://ndownloader.figshare.com/files/1434510", "https://ndownloader.figshare.com/files/1434511", "https://ndownloader.figshare.com/files/1434512", "https://ndownloader.figshare.com/files/1434513", "https://ndownloader.figshare.com/files/1434514", "https://ndownloader.figshare.com/files/1434515", "https://ndownloader.figshare.com/files/1434516", "https://ndownloader.figshare.com/files/1434517", "https://ndownloader.figshare.com/files/1434518", "https://ndownloader.figshare.com/files/1434519", "https://ndownloader.figshare.com/files/1434520", "https://ndownloader.figshare.com/files/1434521", "https://ndownloader.figshare.com/files/1434522"], "description"=>"<div><p>Background</p><p>The serotonin transporter (5-HTT) is abundantly expressed in humans by the serotonin transporter gene <i>SLC6A4</i> and removes serotonin (5-HT) from extracellular space. A blood-brain relationship between platelet and synaptosomal 5-HT reuptake has been suggested, but it is unknown today, if platelet 5-HT uptake can predict neural activation of human brain networks that are known to be under serotonergic influence.</p><p>Methods</p><p>A functional magnetic resonance study was performed in 48 healthy subjects and maximal 5-HT uptake velocity (V<sub>max</sub>) was assessed in blood platelets. We used a mixed-effects multilevel analysis technique (MEMA) to test for linear relationships between whole-brain, blood-oxygen-level dependent (BOLD) activity and platelet V<sub>max</sub>.</p><p>Results</p><p>The present study demonstrates that increases in platelet V<sub>max</sub> significantly predict default-mode network (DMN) suppression in healthy subjects independent of genetic variation within <i>SLC6A4</i>. Furthermore, functional connectivity analyses indicate that platelet V<sub>max</sub> is related to global DMN activation and not intrinsic DMN connectivity.</p><p>Conclusion</p><p>This study provides evidence that platelet V<sub>max</sub> predicts global DMN activation changes in healthy subjects. Given previous reports on platelet-synaptosomal V<sub>max</sub> coupling, results further suggest an important role of neuronal 5-HT reuptake in DMN regulation.</p></div>", "links"=>[], "tags"=>["Biochemistry", "Neurochemistry", "neurotransmitters", "Biogenic amines", "serotonin", "Neurochemicals", "proteomics", "Evolutionary biology", "population genetics", "Genetic polymorphism", "genetics", "neuroscience", "neuroimaging", "systems biology", "Clinical genetics", "Diagnostic medicine", "Clinical laboratory sciences", "Mental health and psychiatry", "transporter", "default-mode"], "article_id"=>973788, "categories"=>["Biological Sciences"], "users"=>["Christian Scharinger", "Ulrich Rabl", "Christian H. Kasess", "Bernhard M. Meyer", "Tina Hofmaier", "Kersten Diers", "Lucie Bartova", "Gerald Pail", "Wolfgang Huf", "Zeljko Uzelac", "Beate Hartinger", "Klaudius Kalcher", "Thomas Perkmann", "Helmuth Haslacher", "Andreas Meyer-Lindenberg", "Siegfried Kasper", "Michael Freissmuth", "Christian Windischberger", "Matthäus Willeit", "Rupert Lanzenberger", "Harald Esterbauer", "Burkhard Brocke", "Ewald Moser", "Harald H. Sitte", "Lukas Pezawas"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0092543.s001", "https://dx.doi.org/10.1371/journal.pone.0092543.s002", "https://dx.doi.org/10.1371/journal.pone.0092543.s003", "https://dx.doi.org/10.1371/journal.pone.0092543.s004", "https://dx.doi.org/10.1371/journal.pone.0092543.s005", "https://dx.doi.org/10.1371/journal.pone.0092543.s006", "https://dx.doi.org/10.1371/journal.pone.0092543.s007", "https://dx.doi.org/10.1371/journal.pone.0092543.s008", "https://dx.doi.org/10.1371/journal.pone.0092543.s009", "https://dx.doi.org/10.1371/journal.pone.0092543.s010", "https://dx.doi.org/10.1371/journal.pone.0092543.s011", "https://dx.doi.org/10.1371/journal.pone.0092543.s012", "https://dx.doi.org/10.1371/journal.pone.0092543.s013", "https://dx.doi.org/10.1371/journal.pone.0092543.s014"], "stats"=>{"downloads"=>49, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Platelet_Serotonin_Transporter_Function_Predicts_Default_Mode_Network_Activity_/973788", "title"=>"Platelet Serotonin Transporter Function Predicts Default-Mode Network Activity", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-03-25 03:31:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/1434487"], "description"=>"<p>Medial prefrontal cortex, mPFC; anterior cingulate cortex, ACC; motor cortex, MOC; premotor cortex, PMC; posterior cingulate cortex, PCC; precuneus, PRE; middle temporal gyrus, MTG; inferior temporal gyrus, ITG; p, uncorrected p value; significance level after correction for multiple comparisons based on recent recommendations <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092543#pone.0092543-Johnson1\" target=\"_blank\">[63]</a>: ***p<0.001; **p<0.005; *p<0.05; x, y, z are coordinates in Talairach space; L, left hemisphere; R, right hemisphere; cluster size expressed as number of voxels.</p>", "links"=>[], "tags"=>["Biochemistry", "Neurochemistry", "neurotransmitters", "Biogenic amines", "serotonin", "Neurochemicals", "proteomics", "Evolutionary biology", "population genetics", "Genetic polymorphism", "genetics", "neuroscience", "neuroimaging", "systems biology", "Clinical genetics", "Diagnostic medicine", "Clinical laboratory sciences", "Mental health and psychiatry", "maximal", "platelet", "5-ht", "uptake", "velocity", "neuronal", "activation"], "article_id"=>973766, "categories"=>["Biological Sciences"], "users"=>["Christian Scharinger", "Ulrich Rabl", "Christian H. Kasess", "Bernhard M. Meyer", "Tina Hofmaier", "Kersten Diers", "Lucie Bartova", "Gerald Pail", "Wolfgang Huf", "Zeljko Uzelac", "Beate Hartinger", "Klaudius Kalcher", "Thomas Perkmann", "Helmuth Haslacher", "Andreas Meyer-Lindenberg", "Siegfried Kasper", "Michael Freissmuth", "Christian Windischberger", "Matthäus Willeit", "Rupert Lanzenberger", "Harald Esterbauer", "Burkhard Brocke", "Ewald Moser", "Harald H. Sitte", "Lukas Pezawas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092543.t001", "stats"=>{"downloads"=>2, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_analysis_between_maximal_platelet_5_HT_uptake_velocity_V_max_and_neuronal_activation_n_8202_8202_48_/973766", "title"=>"Correlation analysis between maximal platelet 5-HT uptake velocity (V<sub>max</sub>) and neuronal activation (n = 48).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-25 03:31:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/1434485"], "description"=>"<p>(<b>A</b>) Figures display right-hemispheric surface mappings of a functional connectivity analysis utilizing the mPFC cluster as seed region. Areas showing increased coupling with the mPFC comprised the PCC, precuneus, MTG and temporal parietal junction. All of these areas correspond to core regions of the DMN. (<b>B</b>) Figures display right-hemispheric surface mappings of a functional connectivity analysis utilizing the MOC cluster as seed region. Areas showing increased coupling with the MOC have been found exclusively in brain regions that spatially correspond to the CEN or SN, while functional coupling with the DMN was absent. The corresponding left-hemispheric mappings are shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092543#pone.0092543.s006\" target=\"_blank\">Figure S6</a>. Colorbars represent mean Pearson’s r. Medial prefrontal cortex, mPFC; posterior cingulate cortex, PCC; middle temporal gyrus, MTG; motor cortex, MOC; default-mode network, DMN; central executive network, CEN; salience network, SN.</p>", "links"=>[], "tags"=>["Biochemistry", "Neurochemistry", "neurotransmitters", "Biogenic amines", "serotonin", "Neurochemicals", "proteomics", "Evolutionary biology", "population genetics", "Genetic polymorphism", "genetics", "neuroscience", "neuroimaging", "systems biology", "Clinical genetics", "Diagnostic medicine", "Clinical laboratory sciences", "Mental health and psychiatry", "connectivity", "mpfc", "moc"], "article_id"=>973764, "categories"=>["Biological Sciences"], "users"=>["Christian Scharinger", "Ulrich Rabl", "Christian H. Kasess", "Bernhard M. Meyer", "Tina Hofmaier", "Kersten Diers", "Lucie Bartova", "Gerald Pail", "Wolfgang Huf", "Zeljko Uzelac", "Beate Hartinger", "Klaudius Kalcher", "Thomas Perkmann", "Helmuth Haslacher", "Andreas Meyer-Lindenberg", "Siegfried Kasper", "Michael Freissmuth", "Christian Windischberger", "Matthäus Willeit", "Rupert Lanzenberger", "Harald Esterbauer", "Burkhard Brocke", "Ewald Moser", "Harald H. Sitte", "Lukas Pezawas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092543.g002", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Functional_connectivity_analysis_of_the_mPFC_and_MOC_cluster_/973764", "title"=>"Functional connectivity analysis of the mPFC and MOC cluster.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:31:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/1434482"], "description"=>"<p>(<b>A–B</b>) Figures display right-hemispheric surface mappings of a whole-brain correlation analysis between platelet V<sub>max</sub> and BOLD activity (n = 48). Significant brain areas showed positive and negative correlations. Negatively correlated clusters comprised areas of the DMN such as regions within the mPFC/ACC as well as the PCC, MTG, and ITG. Positive correlations were found in the fronto-parietal control system encompassing the CEN and SN with a significant cluster located in the right MOC and PMC. The corresponding left-hemispheric mapping is shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092543#pone.0092543.s002\" target=\"_blank\">Figure S2</a>. Colorbar represents t-values. (<b>C</b>) Scatter plot shows the negative relationship between platelet V<sub>max</sub> and BOLD activity averaged across the mPFC cluster (peak at [−7.7, 44.1, 27.5]). (<b>D</b>) Scatter plot shows the positive relationship between platelet V<sub>max</sub> and BOLD activity averaged across the MOC cluster (peak at [20.8, −21.6, 69.1]). All analyses are controlled for age, gender and 5-HTTLPR. Serotonin, 5-HT; maximal 5-HT uptake velocity, V<sub>max</sub>; default mode network, DMN; medial prefrontal cortex, mPFC; anterior cingulate cortex, ACC; posterior cingulate cortex, PCC; middle temporal gyrus, MTG; inferior temporal gyrus, ITG; central executive network, CEN; salience network, SN; motor cortex, MOC; premotor cortex, PMC; blood-oxygen-level dependent, BOLD; a.u., arbitrary units.</p>", "links"=>[], "tags"=>["Biochemistry", "Neurochemistry", "neurotransmitters", "Biogenic amines", "serotonin", "Neurochemicals", "proteomics", "Evolutionary biology", "population genetics", "Genetic polymorphism", "genetics", "neuroscience", "neuroimaging", "systems biology", "Clinical genetics", "Diagnostic medicine", "Clinical laboratory sciences", "Mental health and psychiatry", "correlates", "platelet", "5-ht", "uptake"], "article_id"=>973761, "categories"=>["Biological Sciences"], "users"=>["Christian Scharinger", "Ulrich Rabl", "Christian H. Kasess", "Bernhard M. Meyer", "Tina Hofmaier", "Kersten Diers", "Lucie Bartova", "Gerald Pail", "Wolfgang Huf", "Zeljko Uzelac", "Beate Hartinger", "Klaudius Kalcher", "Thomas Perkmann", "Helmuth Haslacher", "Andreas Meyer-Lindenberg", "Siegfried Kasper", "Michael Freissmuth", "Christian Windischberger", "Matthäus Willeit", "Rupert Lanzenberger", "Harald Esterbauer", "Burkhard Brocke", "Ewald Moser", "Harald H. Sitte", "Lukas Pezawas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092543.g001", "stats"=>{"downloads"=>0, "page_views"=>31, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Functional_brain_correlates_of_platelet_5_HT_uptake_velocity_/973761", "title"=>"Functional brain correlates of platelet 5-HT uptake velocity.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-25 03:31:02"}

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Relative Metric

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