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    <responseDate>2026-10-13T21:28:47Z</responseDate>
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    <identifier>10.57760/sciencedb.29573</identifier>
    <datestamp>2026-01-22T17:43:47Z</datestamp>
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  <dc:date>2026-01-22</dc:date>
  <dc:title>A Speech-Based Dual-Task Paradigm for Neurocognitive Assessment: Design, Feasibility, and Neuroimaging Evidence</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.29573</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This study designed a novel dual task paradigm for speech and examined its effectiveness and underlying mechanisms. The study used professional recording equipment for voice data collection, combined with corresponding pupil measurement data and task state fMRI. Pupil measurement data and raw acoustic feature data are attached below.&amp;nbsp;</dc:description>
  <dc:subject>Speech analysis; Neurocognitive assessment; Dual-task; Criterion validity; Cognitive load</dc:subject>
  <dc:creator>王潇</dc:creator>
  <dc:rights>PUBLIC</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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