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

Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I
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
批准号:
9348726
负责人:
HIROKO Hayama DODGE
金额:
$58.12万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-15 至 2017-06-30
关键词:
AdherenceAdvanced DevelopmentAgeAged, 80 and overAgingAlgorithmsAlzheimer&aposs DiseaseAmygdaloid structureAreaBrainBrain imagingCharacteristicsCognitionCognitiveCommunicationCommunitiesControl GroupsCross-Sectional StudiesDementiaDeveloped CountriesDiffusion Magnetic Resonance ImagingElderlyEpidemiologic StudiesEpisodic memoryFaceFeasibility StudiesFillerFunctional Magnetic Resonance ImagingFundingFutureHealthHome environmentImpaired cognitionIncidenceInternetInterventionInterviewerLanguageLeadLocationLonelinessLow incomeMagnetic Resonance ImagingMeals on WheelsMedication ManagementMichiganMonitorMoodsOregonOutcomeOutcome MeasureParticipantPersonal ComputersPersonal SatisfactionPersonsPhasePilot ProjectsPopulationPrevalencePreventionPrevention approachProtocols documentationPublic HealthRandomizedRecruitment ActivityResearch Project GrantsRestRisk FactorsSample SizeSamplingSocial InteractionSocial NetworkSocial isolationSpeechSpeedStructureStructure of superior temporal sulcusTechnologyTelephoneTemporal SulcusTimeTrainingTreatment EfficacyUnited States National Institutes of Healthagedaging populationbasebehavioral clinical trialbrain sizecognitive functioncostcost effectiveefficacy trialethnic minority populationexecutive functiongroup interventionhigh riskimprovedinclusion criteriainstrumental activity of daily livingintervention effectmild cognitive impairmentmorphometryphase 1 studyphase I trialprimary outcomepsychologicsecondary outcomesocialtouchscreenuser-friendlyweb-enabledweek trial

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Larger social networks and/or more frequent social interactions are associated with lower incidence of AD. At the population level; increasing social interaction may be a promising intervention for improving 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, while control subjects received weekly phone contacts. Despite a small sample size, this feasibility study demonstrated high adherence in an elderly population (mean age 80 years) and some efficacy in language-based executive functions and psychomotor speed. 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 80 and older with MCI and limited opportunities of social interactions. Our two primary outcomes are cognitive functions in the domains of executive function and episodic memory using composite scores, and a secondary outcome is a targeted IADL function (medication management). Psychological well-being (mood, loneliness) and 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 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 in amygdala volume and other ROIs using MRI and unbiased whole brain assessment (voxel-based morphometry), and structural and functional connectivity between amygdala and superior temporal sulcus using diffusion tensor imaging (DTI) and resting state fMRI (R-fMRI). A total of 144 MCI subjects will be recruited at Portland, Oregon, and Detroit, Michigan, collaborating with Meals on Wheels and Area Agency on Aging (AAA) at both locations, creating a large sampling frame of those with low income and from ethnic minorities. Approximately half of the 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 faces the highest risk of developing dementia and social isolation (risk factors of adverse health outcomes). User-friendly, sustainable prevention approaches, as sought here, are urgently needed in this population.
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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:
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  • 依托单位:
海外基金