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临床试验/NCT05640141
NCT05640141招募中不适用

Pre-demential Motoric Cognitive Risk Syndrome in Ageing Subjects - Prediction of Cognitive Decline and Identification of Underlying Mechanisms

University Hospital, Caen1 个研究点 分布在 1 个国家目标入组 160 人开始时间: 2022年1月26日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
160
试验地点
1
主要终点
Prediction accuracy to detect MCR participants will be computed using Machine learning

研究概览

简要总结

The main aim of the study is to characterize and understand the pathological mechanisms underlying the motoric cognitive risk syndrome, which is a predictor of Alzheimer disease.

详细描述

Alzheimer's disease (AD) is affecting more than 46.8 million people worldwide, making dementia one of the greatest public health challenges of the 21st century. The progression of AD is slow with a presymptomatic course over several years to decades, during which pathophysiological changes are underway, but the disease has not yet caused any noticeable symptoms to warrant a clinical diagnosis. A strong effort is ongoing to identify biomarkers preceding cognitive decline that can aid diagnosis and early intervention. Criteria for the motoric cognitive risk syndrome (MCR), including subjective cognitive decline (SCD) and slower preferred walking speed, but otherwise normal functioning, are powerful risk indicators of developing cognitive impairment and dementia. The presence of MCR is associated with a more than three-fold risk of developing dementia while the risk is only two-fold for SCD or slow gait alone. However, the pathophysiology of MCR is unknown and getting into the processes that cause such condition is needed to complement the MCR-based criteria and increase their predictive validity of cognitive decline and dementia. Impaired attentional control related to white matter alterations of presumed vascular origin may be responsible for the MCR phenotype. Individuals with SCD exhibit loss of white matter integrity in brain regions typically involved in attentional control, and abnormally slow gait has been linked to the disruption of white matter tracts associated with executive attention. Furthermore, a deeper understanding of MCR requires considering not only regional white matter changes but also the individuals' cognitive capacity to cope with brain damages, namely the cognitive reserve. Hence, the PRESAGE project intends to evaluate the interplay of white matter integrity and cognitive reserve on attentional control in MCR and non-MCR individuals aged 60 or older. Attentional control will be explored at both the behavioral and brain levels using dual-task challenges where individuals will have to divide attention between a cognitive (stroop) task and a motor task (walking). The working hypothesis is that the dual-task cost - a proxy of attentional control - is predictive of white matter abnormalities which, when adjusted for cognitive reserve, age and sex, should discriminate between MCR and non-MCR individuals. The project also includes a prospective, longitudinal study (two-year follow-up) whose purpose is to determine whether this marker, alone or in combination with other potentially relevant markers (i.e., neuropsychological, functional and chronobiological), have predictive value for conversion from MCR to mild cognitive impairment and dementia. Findings will increase knowledge about the pathophysiology of MCR and will contribute to improve MCR criteria and early identification of at-risk individuals.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
55 Years 至 80 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Prediction accuracy to detect MCR participants will be computed using Machine learning

时间窗: Baseline

Several machine learning algorithms will be used to tell apart healthy from MCR participants. These classification procedures will bring several metrics including prediction accuracy, sensitivity and specificity scores.

次要结局

  • MRI - Connectivity(Baseline)
  • MRI - Brain volumes(Baseline)
  • Gait - Dual task cost(Baseline)
  • Gait - Sensorimotor adaptation and savings(Baseline)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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