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    <identifier>10.57760/sciencedb.12820</identifier>
    <datestamp>2026-05-29T18:20:15Z</datestamp>
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  <dc:date>2026-05-29</dc:date>
  <dc:title>Data for Affective forecasting in people with autistic traits, social anhedonia, and subthreshold depression: A multi-method study</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.12820</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The ability to predict future emotions for upcoming events (affective forecasting, AF) is crucial for mental health. This data compared the distinct and shared characteristics of AF in participants with high levels of autistic traits (AT, n = 76), social anhedonia (SA, n = 107), subthreshold depression (SD, n = 102), and 99 controls. Participants completed the laboratory-based and real-life AF tasks, and resting-state functional magnetic resonance imaging.</dc:description>
  <dc:subject>affective forecasting; schizophrenia; depression; autism</dc:subject>
  <dc:creator>Yan Gao</dc:creator>
  <dc:creator>Yi Wang</dc:creator>
  <dc:creator>Yi hang Huang</dc:creator>
  <dc:creator>Chao Yan</dc:creator>
  <dc:creator>Jia Huang</dc:creator>
  <dc:creator>Ke ying Wang</dc:creator>
  <dc:creator>Zhao tong Yao</dc:creator>
  <dc:creator>Simon S. Y. Lui</dc:creator>
  <dc:creator>Tian xiao Yang</dc:creator>
  <dc:creator>Raymond C.K. Chan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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