Digital Markers of Cognition Across the Spectrum of Preclinical Cognitive Impairment to Dementia

摘要 斯泰西·L·安德森是波士顿大学医学院的助理教授 医学。她寻求获得指导职业发展奖(K01)，以获得关键的知识技能 生物统计学、沟通模式、神经心理评估和神经成像，特别是当他们 与认知老化有关，以及导致独立职业生涯的必要研究经验 老龄化研究领域的神经学家，特别是在健康衰老和认知弹性领域。 培训方案详细说明了病理生理学基础的正式和非正式指导的五年计划。 与衰老和神经退行性疾病相关的大脑变化以及生物统计学和 分析方法。安德森博士的导师都是神经心理学领域的老牌专家， 神经成像和老年学已经与安徒生博士会面，制定了一项课程工作计划，指导研究， 研讨会和学术会议。短期职业目标包括完成语言学的课程作业， 神经成像方法和统计分析，通过以下方式传播高质量的指导研究成果 演讲和发表作品，从事职业发展活动，申请独立R 在授权期的第五年早期提供资助。长期的职业目标是成为一名独立的 神经精神病学流行病学家，在长寿的神经心理评估方面具有内容专业知识 个人，评估认知功能的技术的新应用，以及与 认知韧性。 研究的具体目标是：(1)使用专门的软件，提取认知 来自数字语音记录和数字捕获的马达性能的性能指标，(2)测试 语音和运动产生的数字指标对认知功能变化敏感的假说 和临床痴呆症状态，(3)检验语音和运动产生的数字度量是 与结构和功能MRI检测到的神经解剖底物相关，以及(4)研究所 前瞻性数据收集纵向的，数字化获取的神经心理测试数据。这项研究具有 将数字指标识别为认知功能的相关性以及可能的认知早期标记的可能性 允许更早诊断和干预的变化。 完成拟议的目标将提供初步结果，为赠款奠定基础 传统神经心理学与数字神经心理学纵向变化相关性的应用研究 认知障碍和痴呆症发生率的衡量标准以及与缺勤相关的因素 纵向认知变化(即认知复原力)。

ABSTRACT Stacy L. Andersen is an Assistant Professor in the Department of Medicine at Boston University School of Medicine. She seeks a mentored career development award (K01) to obtain critical knowledge skills in biostatistics, communication patterns, neuropsychological assessment, and neuroimaging, particularly as they relate to cognitive aging, and necessary research experience leading to an independent career as a neuroscientist in field of aging research, specifically in the field of healthy aging and cognitive resilience. The training proposal details a five-year plan of formal and informal instruction in the pathophysiologic basis of brain changes associated with aging and neurodegenerative disease as well as training in biostatistics and analysis methods. Dr. Andersen’s mentors, established experts in the fields of neuropsychology, neuroimaging, and gerontology have met with Dr. Andersen to formulate a plan of course work, guided study, seminars and academic meetings. Short-term career goals include to complete course work in linguistics, neuroimaging methods, and statistical analysis, disseminate high quality mentored research findings via presentations and published works, engage in career development activities and to apply for independent R grant funding early in the fifth year of the award period. Long-term career goals are to be an independent neuropsychiatric epidemiologist with content expertise in the neuropsychological assessment of long-lived individuals, novel applications of technology for evaluating cognitive function, and factors associated with cognitive resilience. The specific aims of the proposed research are to (1) with specialized software, extract cognitive performance metrics from digital voice recordings and digitally-captured motor performance, (2) test the hypothesis that digital metrics of speech and motor production are sensitive to variations in cognitive function and clinical dementia status, (3) test the hypothesis that digital metrics of speech and motor production are associated with neuroanatomical substrates as detected by structural and functional MRI, and (4) institute prospective data collection of longitudinal, digitally-acquired neuropsychological test data. This study has the potential to identify digital metrics as correlates of cognitive function and possibly early markers of cognitive change allowing for earlier diagnosis and intervention. Completion of the proposed aims will provide preliminary findings that will lay the groundwork for a grant application investigating the association of longitudinal changes in traditional and digital neuropsychological metrics with incidence of cognitive impairment and dementia as well as the factors associated with an absence of longitudinal cognitive change (i.e., cognitive resilience).