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Changes in Memory Capacity across the Lifespan

Changes in Memory Capacity across the Lifespan
整个生命周期内存容量的变化
批准号:
6684354
负责人:
MICHAEL J WENGER
金额:
$7.18万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-06-15 至 2004-05-31

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中文摘要
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英文摘要
The proposed work seeks to examine the possible age- and disease-related changes in the real-time capacity of memory processing. A novel measure of processing capacity, based on response latencies, will be added to a performance measure that has been sensititive in detecting memory impairment (the Free and Cued Selective Reminding Test). Processing capacity will be compared in three groups of healthy adults: college-aged, middle-aged, and elderly. In addition, processing capacity in healthy elderly adults will be compared to processing capacity in elderly adults with mild cognitive impairment. It is expected that age- and disease-related changes in capacity will be detected, demonstrating the potential for augmenting diagnostic tools and providing additional insight into the nature of normal age-related changes in memory. Use of this measure requires application of novel statistical tools; consequently, this work will provide a demonstration of the utility and applicability of these statistical techniques.
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DOI: 10.1016/j.jmp.2009.04.012
发表时间: 2010-02-01
期刊: Journal of mathematical psychology
影响因子: 1.8
作者: [Wenger MK, Negash S, Petersen RC, Petersen L]
通讯作者: Petersen L
Characterizing the prevalence and nature of facial recognition deficits in non-proliferative diabetic retinopathy
  • 批准号:
    10667781
  • 项目类别:
  • 资助金额:
    $19.21万
  • 财政年份:
    2023
  • 负责人:
    MICHAEL J WENGER
  • 依托单位:
Iron Status at Perimenopause: Effects on Brain and Behavior
  • 批准号:
    9788455
  • 项目类别:
  • 资助金额:
    $19.57万
  • 财政年份:
    2018
  • 负责人:
    MICHAEL J WENGER
  • 依托单位:
Short-term Mentored Career Development Award: Iron Metabolism, Brain Energetics,
  • 批准号:
    8213978
  • 项目类别:
  • 资助金额:
    $10.97万
  • 财政年份:
    2011
  • 负责人:
    MICHAEL J WENGER
  • 依托单位:
High-Level Influences on Low-Level Learning
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