Serotonin Differentially Regulates Short- and Long-Term Prediction of Rewards in the Ventral and Dorsal Striatum
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{"title"=>"Serotonin differentially regulates short- and long-term prediction of rewards in the ventral and dorsal striatum", "type"=>"journal", "authors"=>[{"first_name"=>"Saori C.", "last_name"=>"Tanaka", "scopus_author_id"=>"7405553243"}, {"first_name"=>"Nicolas", "last_name"=>"Schweighofer", "scopus_author_id"=>"6701542947"}, {"first_name"=>"Shuji", "last_name"=>"Asahi", "scopus_author_id"=>"7004764202"}, {"first_name"=>"Kazuhiro", "last_name"=>"Shishida", "scopus_author_id"=>"13406943000"}, {"first_name"=>"Yasumasa", "last_name"=>"Okamoto", "scopus_author_id"=>"7404537789"}, {"first_name"=>"Shigeto", "last_name"=>"Yamawaki", "scopus_author_id"=>"7101912827"}, {"first_name"=>"Kenji", "last_name"=>"Doya", "scopus_author_id"=>"7004163287"}], "year"=>2007, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-41149171114", "sgr"=>"41149171114", "pui"=>"351736594", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"18091999", "doi"=>"10.1371/journal.pone.0001333"}, "id"=>"0c3f20ed-e379-3ec9-8126-879954fb6630", "abstract"=>"Background. The ability to select an action by considering both delays and amount of reward outcome is critical for maximizing long-term benefits. Although previous animal experiments on impulsivity have suggested a role of serotonin in behaviors requiring prediction of delayed rewards, the underlying neural mechanism is unclear. Methodology/Principal Findings. To elucidate the role of serotonin in the evaluation of delayed rewards, we performed a functional brain imaging experiment in which subjects chose small-immediate or large-delayed liquid rewards under dietary regulation of tryptophan, a precursor of serotonin. A model-based analysis revealed that the activity of the ventral part of the striatum was correlated with reward prediction at shorter time scales, and this correlated activity was stronger at low serotonin levels. By contrast, the activity of the dorsal part of the striatum was correlated with reward prediction at longer time scales, and this correlated activity was stronger at high serotonin levels. Conclusions/Significance. Our results suggest that serotonin controls the time scale of reward prediction by differentially regulating activities within the striatum.", "link"=>"http://www.mendeley.com/research/serotonin-differentially-regulates-short-longterm-prediction-rewards-ventral-dorsal-striatum-2", "reader_count"=>73, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>6, "Researcher"=>22, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>22, "Other"=>4, "Student > Master"=>7, "Student > Bachelor"=>2, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>2, "Professor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>6, "Researcher"=>22, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>22, "Other"=>4, "Student > Master"=>7, "Student > Bachelor"=>2, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>2, "Professor"=>4}, "reader_count_by_subject_area"=>{"Engineering"=>5, "Unspecified"=>4, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Agricultural and Biological Sciences"=>8, "Medicine and Dentistry"=>10, "Neuroscience"=>14, "Psychology"=>23, "Computer Science"=>5, "Economics, Econometrics and Finance"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>5}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>10}, "Neuroscience"=>{"Neuroscience"=>14}, "Psychology"=>{"Psychology"=>23}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>8}, "Computer Science"=>{"Computer Science"=>5}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"Belgium"=>2, "United States"=>2, "Japan"=>6, "China"=>1, "Denmark"=>1, "United Kingdom"=>2, "Switzerland"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/939825"], "description"=>"<p>Voxels within the striatum (3D mesh surface) showing a significant correlation (<i>P</i><0.001 in one sample t-test, uncorrected for multiple comparisons, <i>n</i> = 12 subjects) with <i>V</i>(<i>t</i>) at different settings of γ are shown with color codes (red: γ = 0.6, orange: 0.7, yellow: 0.8, green: 0.9, cyan: 0.95, blue: 0.99). Red to yellow coded voxels, correlated with reward prediction at shorter time scales, are predominantly located in the ventral part of the striatum (ventral putamen and nucleus accumbens), while the green to blue coded voxels, correlated with reward prediction at longer time scales, are located in the dorsal part of the striatum (dorsal putamen and caudate body).</p>", "links"=>[], "tags"=>["neuroscience", "computational biology/computational neuroscience", "neuroscience/theoretical neuroscience"], "article_id"=>610269, "categories"=>["Neuroscience", "Medicine"], "users"=>["Saori C. Tanaka", "Nicolas Schweighofer", "Shuji Asahi", "Kazuhiro Shishida", "Yasumasa Okamoto", "Shigeto Yamawaki", "Kenji Doya"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001333.g002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regression_analysis_of_BOLD_signal_by_expected_future_reward_with_different_discount_rates_/610269", "title"=>"Regression analysis of BOLD signal by expected future reward with different discount rates.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-12-19 00:04:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/939891"], "description"=>"<p>Bar plots show the regression coefficients (betas) of <i>V</i>(<i>t</i>) with γ = 0.6 (white bars) and 0.99 (gray bars) for the BOLD signals in the regions of interest (ROI) in the ventral (A) ((x, y, z) = (26, 0, −4) and (−26, 0, −8); see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0001333#pone.0001333.s007\" target=\"_blank\">Table S2</a>) and dorsal (B) ((x, y, z) = (24, 2, 22) and (−16, 2, 28)) parts of the striatum. Data shown are group averages (<i>n</i> = 12 subjects), and error bars represent standard errors. * significantly different from zero at <i>P</i><0.05 in a two-tailed one sample t-test.</p>", "links"=>[], "tags"=>["tryptophan", "short-", "ventral", "dorsal", "parts"], "article_id"=>610330, "categories"=>["Neuroscience", "Medicine"], "users"=>["Saori C. Tanaka", "Nicolas Schweighofer", "Shuji Asahi", "Kazuhiro Shishida", "Yasumasa Okamoto", "Shigeto Yamawaki", "Kenji Doya"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001333.g003", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_tryptophan_levels_on_short_and_long_term_reward_prediction_in_ventral_and_dorsal_parts_of_the_striatum_/610330", "title"=>"Effects of tryptophan levels on short- and long-term reward prediction in ventral and dorsal parts of the striatum.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-12-19 00:05:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/463066", "https://ndownloader.figshare.com/files/463122", "https://ndownloader.figshare.com/files/463153", "https://ndownloader.figshare.com/files/463183", "https://ndownloader.figshare.com/files/463216", "https://ndownloader.figshare.com/files/463319", "https://ndownloader.figshare.com/files/463335"], "description"=>"<div><h3>Background</h3><p>The ability to select an action by considering both delays and amount of reward outcome is critical for maximizing long-term benefits. Although previous animal experiments on impulsivity have suggested a role of serotonin in behaviors requiring prediction of delayed rewards, the underlying neural mechanism is unclear.</p><h3>Methodology/Principal Findings</h3><p>To elucidate the role of serotonin in the evaluation of delayed rewards, we performed a functional brain imaging experiment in which subjects chose small-immediate or large-delayed liquid rewards under dietary regulation of tryptophan, a precursor of serotonin. A model-based analysis revealed that the activity of the ventral part of the striatum was correlated with reward prediction at shorter time scales, and this correlated activity was stronger at low serotonin levels. By contrast, the activity of the dorsal part of the striatum was correlated with reward prediction at longer time scales, and this correlated activity was stronger at high serotonin levels.</p><h3>Conclusions/Significance</h3><p>Our results suggest that serotonin controls the time scale of reward prediction by differentially regulating activities within the striatum.</p></div>", "links"=>[], "tags"=>["serotonin", "differentially", "regulates", "short-", "rewards", "ventral", "dorsal", "striatum"], "article_id"=>151266, "categories"=>["Neuroscience", "Medicine"], "users"=>["Saori C. Tanaka", "Nicolas Schweighofer", "Shuji Asahi", "Kazuhiro Shishida", "Yasumasa Okamoto", "Shigeto Yamawaki", "Kenji Doya"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0001333.s001", "https://dx.doi.org/10.1371/journal.pone.0001333.s002", "https://dx.doi.org/10.1371/journal.pone.0001333.s003", "https://dx.doi.org/10.1371/journal.pone.0001333.s004", "https://dx.doi.org/10.1371/journal.pone.0001333.s005", "https://dx.doi.org/10.1371/journal.pone.0001333.s006", "https://dx.doi.org/10.1371/journal.pone.0001333.s007"], "stats"=>{"downloads"=>8, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Serotonin_Differentially_Regulates_Short_and_Long_Term_Prediction_of_Rewards_in_the_Ventral_and_Dorsal_Striatum/151266", "title"=>"Serotonin Differentially Regulates Short- and Long-Term Prediction of Rewards in the Ventral and Dorsal Striatum", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2007-12-19 00:21:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/939764"], "description"=>"<p>A subject was asked to select either a white or yellow square by pressing a button on the corresponding side. In the example shown here, if the subject chooses a white square at each step, a small amount of juice (0.8 ml) is delivered in two steps (2.5×2 = 5 sec). If the subject chooses a yellow square, four yellow choices (2.5×4 = 10 sec) must be repeated to obtain a larger amount of juice (3.2 ml). The position of the squares (left or right) was changed randomly at each step.</p>", "links"=>[], "tags"=>["neuroscience", "computational biology/computational neuroscience", "neuroscience/theoretical neuroscience"], "article_id"=>610199, "categories"=>["Neuroscience", "Medicine"], "users"=>["Saori C. Tanaka", "Nicolas Schweighofer", "Shuji Asahi", "Kazuhiro Shishida", "Yasumasa Okamoto", "Shigeto Yamawaki", "Kenji Doya"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0001333.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Experimental_task_/610199", "title"=>"Experimental task.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-12-19 00:03:19"}

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Relative Metric

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