Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, Inserm, CNRS, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013 Paris, France.
Département de Neurologie, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), AP-HP, Hôpital de la Pitié Salpêtrière, F-75013 Paris, France.
Int J Environ Res Public Health. 2021 Jul 23;18(15):7824. doi: 10.3390/ijerph18157824.
Apathy, a common neuropsychiatric symptom associated with dementia, has a strong impact on patients' and caregivers' quality of life. However, it is still poorly understood and hard to define. The main objective of the ECOCAPTURE programme is to define a behavioural signature of apathy using an ecological approach. Within this program, ECOCAPTURE@HOME is an observational study which aims to validate a method based on new technologies for the remote monitoring of apathy in real life. For this study, we plan to recruit 60 couples: 20 patient-caregiver dyads in which patients suffer from behavioral variant Fronto-Temporal Dementia, 20 patient-caregiver dyads in which patients suffer from Alzheimer Disease and 20 healthy control couples. These dyads will be followed for 28 consecutive days via multi-sensor bracelets collecting passive data (acceleration, electrodermal activity, blood volume pulse). Active data will also be collected by questionnaires on a smartphone application. Using a pool of metrics extracted from these passive and active data, we will validate a measurement model for three behavioural markers of apathy (i.e., daytime activity, quality of sleep, and emotional arousal). The final purpose is to facilitate the follow-up and precise diagnosis of apathy, towards a personalised treatment of this condition within everyday life.
淡漠,一种与痴呆相关的常见神经精神症状,对患者和照护者的生活质量有很大影响。然而,它仍未被充分理解和定义。ECOCAPTURE 计划的主要目标是使用生态方法定义淡漠的行为特征。在该计划中,ECOCAPTURE@HOME 是一项观察性研究,旨在验证一种基于新技术的方法,用于在现实生活中远程监测淡漠。为此研究,我们计划招募 60 对夫妻:20 对患者-照护者,患者患有行为变异额颞叶痴呆,20 对患者-照护者,患者患有阿尔茨海默病,20 对健康对照夫妻。这些夫妻将通过多传感器腕带连续 28 天进行跟踪,腕带收集被动数据(加速度、皮肤电活动、血管容积脉搏)。还将通过智能手机应用上的问卷收集主动数据。我们将使用从这些被动和主动数据中提取的一组指标,验证用于淡漠三个行为标志物(即日间活动、睡眠质量和情绪唤醒)的测量模型。最终目的是促进淡漠的后续监测和精确诊断,以便在日常生活中对这种疾病进行个性化治疗。