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Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I Administrative Supplement

Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I Administrative Supplement
基于网络的社交互动可延缓 MCI 老年人认知能力下降:第一阶段行政补充
批准号:
10363310
负责人:
HIROKO Hayama DODGE
金额:
$38.44万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2023-03-31

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Project Summary Larger social networks and more frequent social interactions are found to be associated with lower incidence of dementia in observational studies. Increasing social interaction may be a promising intervention for increasing cognitive reserve and sustaining the cognitive well-being of older adults. In our previous randomized controlled behavioral clinical trial, we developed a conversation-based social interaction cognitive stimulation protocol delivered by trained interviewers through personal computers, webcams, and a user-friendly interactive Internet interface with a touch screen (ClinicalTrials.gov:NCT01571427). Daily 30-minute face-to-face communications were conducted over a 6- week trial period in the intervention group. Despite a small sample size, this pilot study (completed 6/30/2014) demonstrated feasibility, high adherence in an elderly population (mean age 80 years) and efficacy in language-based executive functions among the intervention group in comparison to the control group. Based upon these positive results, we propose a Phase I trial to advance development of this intervention. Primary aim (Aim 1) is to examine the efficacy of our intervention on cognitive functions among the target group - those aged 75 and older with MCI and limited opportunities of social interactions. Our primary outcome is a global cognitive function measured by Montreal Cognitive Assessment tests (MoCA) and secondary outcomes are cognitive domains in language-based executive and memory functions. These cognitive outcome results are cross-validated by NIH toolbox cognitive battery. Exploratory outcomes include: a targeted IADL function (medication use and adherence) and emotional well-being. Person-specific levels of social interactions (i.e., average conversation outside of the trial) will be monitored and controlled in the analyses. Exploratory Aim 2 is to examine whether the intervention could lead to changes in speech and language characteristics over time by analyzing recorded daily conversational sessions, based on our promising cross-sectional findings in this area. Exploratory Aim 3 is to examine underlying mechanisms of efficacy by assessing pre- and post- trial changes measured by fMRI connectivity for targeted networks including the default mode network (DMN), the dorsal attention network (DAN), and the salience network (SN). A total of 144 MCI subjects will be recruited and randomized at Portland, Oregon, and Detroit, Michigan. Half of the eligible participants will be randomly selected and invited to participate in the brain imaging study. Increasing daily social contact through communication technologies could offer a cost-effective home- based prevention that could slow cognitive decline, delay the onset of AD, and thereby reduce the overall societal burden of dementia. The oldest old is the fastest growing segment of the population in most developed countries, and face the highest risk of developing dementia and social isolation (risk factors of adverse health outcomes). User-friendly sustainable prevention approaches are urgently needed in this population.
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会议论文
OPTIMIZE WAV2VEC2S ARCHITECTURE FOR SMALL TRAINING SET THROUGH ANALYZING ITS PRE-TRAINED MODELS ATTENTION PATTERN.
通过分析其预训练模型的注意力模式,优化小型训练集的WAV2VEC2S架构。
DOI: 10.1109/icassp43922.2022.9747831
发表时间: 2022
期刊: Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
影响因子: --
作者: [Chen,Liu, Asgari,Meysam, Dodge,HirokoH]
通讯作者: Dodge,HirokoH
Short: Causal structural learning of conversational engagement for socially isolated older adults.
简短:社会孤立的老年人对话参与的因果结构学习。
DOI: 10.1016/j.smhl.2023.100384
发表时间: 2023
期刊: Smart health (Amsterdam, Netherlands)
影响因子: --
作者: [Yuan,Fengpei, Zhou,Wenjun, Dodge,HirokoH, Zhao,Xiaopeng]
通讯作者: Zhao,Xiaopeng
DOI: 10.1142/9789811270611_0002
发表时间: 2022-11
期刊: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
影响因子: --
作者: [Guangliang Liu;Zhiyu Xue;L. Zhan;H. Dodge;Jiayu Zhou]
通讯作者: Guangliang Liu;Zhiyu Xue;L. Zhan;H. Dodge;Jiayu Zhou
Subject Harmonization of Digital Biomarkers: Improved Detection of Mild Cognitive Impairment from Language Markers
数字生物标记的主题协调:改进语言标记对轻度认知障碍的检测
DOI: --
发表时间: 2023
期刊: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
影响因子: --
作者: [Bao Hoang, Yijiang Pang, Hiroko H. Dodge, Jiayu Zhou]
通讯作者: Jiayu Zhou
6
    Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers
    • 批准号:
      10709094
    • 项目类别:
    • 资助金额:
      $33.03万
    • 财政年份:
      2021
    • 负责人:
      HIROKO Hayama DODGE
    • 依托单位:
    Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers
    • 批准号:
      10212669
    • 项目类别:
    • 资助金额:
      $228.64万
    • 财政年份:
      2021
    • 负责人:
      HIROKO Hayama DODGE
    • 依托单位:
    Data Management and Statistical Core
    • 批准号:
      10369036
    • 项目类别:
    • 资助金额:
      $44.74万
    • 财政年份:
      2020
    • 负责人:
      HIROKO Hayama DODGE
    • 依托单位:
    Data Management and Statistical Core
    • 批准号:
      10203772
    • 项目类别:
    • 资助金额:
      $42.36万
    • 财政年份:
      2020
    • 负责人:
      HIROKO Hayama DODGE
    • 依托单位:
    海外基金