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    <responseDate>2026-10-15T05:19:05Z</responseDate>
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    <identifier>10.57760/sciencedb.37358</identifier>
    <datestamp>2026-03-05T10:27:55Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-03-05</dc:date>
  <dc:title>A Speech&amp;ndash;Cognitive Dual-Task Paradigm for Neurocognitive Assessment: Design, Feasibility, and Neuroimaging Evidence</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.37358</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This study designed a novel dual-task speech paradigm and tested its effectiveness and underlying mechanisms. Speech data was acquired using professional recording equipment and combined with corresponding pupillary measurement data and task-state functional magnetic resonance imaging (fMRI) data. Pupillary measurement data, raw acoustic feature data, and example fMRI data are attached. The study also includes code for the data acquisition paradigm and a complete data analysis workflow.</dc:description>
  <dc:subject>Neurocognitive assessment; Speech analysis; Dual-task; Neuroimaging</dc:subject>
  <dc:creator>杨立状</dc:creator>
  <dc:creator>Wang Xiao</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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