Digital monitoring of autonomic activity to detect empathy loss in behavioral variant frontotemporal dementia

对自主活动进行数字监测以检测行为变异型额颞叶痴呆的同理心丧失

• 批准号: 10722938
• 负责人: Emma Rhodes
• 金额: $ 16.29万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10722938
• 关键词: Accelerometer; Address; Adult; Age; Anterior; Area; Arousal; Atrophic; Autonomic nervous system; Behavior; Behavioral; Behavioral Symptoms; Caregiver Burden; Caregivers; Classification; Clinical; Cognitive; Collaborations; Cues; Data; Dementia; Detection; Development; Devices; Digital biomarker; Distress; Early Diagnosis; Electrocardiogram; Emotional; Emotions; Empathy; Environment; Family; Functional Magnetic Resonance Imaging; Functional disorder; Galvanic Skin Response; Goals; Impaired cognition; Individual; Insula of Reil; Investigation; K-Series Research Career Programs; Knowledge; Link; Machine Learning; Measurement; Measures; Mediating; Mediation; Mentorship; Methodology; Methods; Modeling; Monitor; Morphologic artifacts; Motion; Movement; Nervous System Physiology; Neuroanatomy; Neurodegenerative Disorders; Neuropsychology; Output; Parasympathetic Nervous System; Participant; Pathway Analysis; Patients; Pattern; Pennsylvania; Performance; Persons; Phase; Physiological; Reporting; Research; Research Personnel; Rest; Role; Sampling; Scientific Inquiry; Signal Transduction; Sinus; Standardization; Statistical Methods; Stimulus; Sympathetic Nervous System; Symptoms; Technology; Testing; Training; Universities; behavior measurement; behavioral variant frontotemporal dementia; cingulate cortex; clinical diagnosis; cognitive function; daily functioning; design; detector; diagnostic accuracy; digital; digital monitoring; early onset; feature selection; frontotemporal degeneration; improved; innovation; machine learning method; multimodal neuroimaging; network dysfunction; neuroimaging; neuropsychiatric symptom; novel; recruit; respiratory; response; segregation; sensor; skills; smart watch; social; social deficits; symptom treatment; wearable device

PROJECT SUMMARY/ABSTRACT Patients with behavioral variant frontotemporal dementia (bvFTD) develop progressive and highly distressing symptoms of social and emotional dysfunction, including loss of empathy for other people. Scientific research has struggled to understand the specific causes of empathy loss in bvFTD because empathy is difficult to measure in a way that is meaningful and not biased by other factors, such as caregiver burden, and because individuals with bvFTD have highly variable patterns of cognitive and behavioral functioning. A relatively unexplored but promising avenue of scientific inquiry is the role of autonomic nervous system (ANS) activity in empathy loss in bvFTD. The ANS is comprised of two complementary subsystems, the sympathetic and parasympathetic nervous systems, which operate together to increase and decrease levels of physiologic arousal in response to cues from the environment. Patients with bvFTD show subtle abnormalities in ANS activity that are linked to symptoms of social dysfunction, including loss of empathy, but this line of research has been hindered by reliance on traditional methods of measuring ANS output, namely hard-wired EKG and skin conductance sensors, which restrict the movement of the patient and are sensitive to motion artifacts. Recent advances in wearable smartwatch technology allow for precise, unobtrusive measurement of ANS activity with built-in motion detectors to account for changes in ANS signals that are due to movement. Smartwatch technology is well-suited for continuous measurement of ANS functioning to detect subtle abnormalities that correspond to behavioral measures of empathy in bvFTD. This project has the potential to identify specific physiologic contributions to empathy loss in bvFTD, which can be used to develop new treatments and improve early detection of social and emotional dysfunction in bvFTD.

项目总结/摘要 行为变异型额颞叶痴呆（bvFTD）患者发生进行性和高度痛苦的 社交和情感功能障碍的症状，包括对他人失去同理心。科研 一直在努力理解bvFTD中共情丧失的具体原因，因为共情很难理解。 以有意义的方式进行测量，不受其他因素（如照顾者负担）的影响，因为 bvFTD患者的认知和行为功能模式高度可变。相对 尚未探索但有希望的科学探索途径是自主神经系统（ANS）活动在 bvFTD中的同理心丧失。ANS由两个互补的子系统组成，交感神经和 副交感神经系统，它们一起操作以增加和减少生理性的水平。 对来自环境的线索的反应。bvFTD患者显示ANS轻微异常 这些活动与社交功能障碍的症状有关，包括同情心的丧失，但这一系列的研究 由于依赖于测量ANS输出的传统方法，即硬连线EKG和 皮肤电导传感器，其限制患者的运动并且对运动伪影敏感。 可穿戴智能手表技术的最新进展允许对ANS进行精确，不显眼的测量 活动与内置的运动检测器，以考虑的变化，在ANS信号是由于运动。 智能手表技术非常适合持续测量ANS功能，以检测细微的 与bvFTD中共情行为测量相对应的异常。该项目有可能 确定bvFTD中共情丧失的特定生理作用，这可用于开发新的 治疗和改善bvFTD中社会和情感功能障碍的早期检测。