Evaluation of Cognitive State in Senior Subjects Using Neurosteer Single-channel EEG With an Interactive Assessment Tool
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 80
- 试验地点
- 1
- 主要终点
- Correlation Between Cognition Level Changes as Evaluated by Current Clinical Tools (i.e. MMSE) and Brain Activity Features Extracted Using the Neurosteer Technology.
研究概览
简要总结
This is an observational study. Patients who fulfill all inclusion criteria and none of the exclusion criteria will be enrolled in the study, be neurologically evaluated and will go through EEG recordings while listening to an auditory cognitive assessment tool. EEG recordings will be analyzed using proprietary computational analyses.
详细描述
One of the major problems in the prevention and treatment of neurological disorders, is the lack of cost effective and reliable tools to assess neurodegeneration on a large scale at a very early stage. Although current imaging methods give a clear image of the brain atrophy involved in neurodegenerative disorders, there are deficiencies prohibiting their usage for prevention-scanning of large high-risk population such as high price, long set-up time and the need for trained personnel to conduct the test. Therefore, the development of a reliable tool to assess brain neurodegeneration, associated with cognitive decline independent of personal interpretation and/or variance between clinicians and between medical facilities would be highly valuable. This tool would allow the healthcare team to make appropriate treatment decisions that could aid in neurodegenerative disease prevention.
The Neurosteer system provides objective neurological biomarkers using a wearable easy-to-use affordable system. The system facilitate the capture and interpretation of EEG data with only a single patch of electrodes, attached on the subject's forehead. Neurosteer examination includes completing auditory tasks while measuring brain activity with the device. The data is analyzed using machine learning methods to produce biomarkers, enabling a report of the patient's activity in real time and offline. The examination is easy to preform and can be conducted in every clinic or in patients' homes.
In this study, clinical staff will identify potential subjects and will examine the eligibility of subject according to inclusion and exclusion criteria. Research staff will inform the patient on study's objective and design. Patients will sign the Informed Consent Form (ICF). Research staff will set up an initial session using the Neurosteer system. In this session the patient will perform auditory cognitive assessment tasks. The patient will be re-examined in the same experimental setting over the next 7 days and at least 1 day later. Level of cognition will be assessed by the Neurosteer technology.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 年龄范围
- 50 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Men and women over the age of
- •Patient is able to collaborate.
- •No other cognitive comorbidity.
- •No seizure events.
排除标准
- •Any verbal or non-verbal form of objection from patient or form patient's family member or significant other.
- •Presence of several cognitive comorbidity.
- •Damage to integrity of scalp and/or skull.
- •Skin irritation in the facial and forehead area.
- •Significant hearing impairments.
- •History of drug abuse.
结局指标
主要结局
Correlation Between Cognition Level Changes as Evaluated by Current Clinical Tools (i.e. MMSE) and Brain Activity Features Extracted Using the Neurosteer Technology.
时间窗: MMSE score will be taken from previous evaluation performed in the institute. Through study completion, brain activity features will be assessed twice within 7 days using the Neurosteer EEG system.
Cognition level changes will be evaluated by: 1. Mini Mental State Examination (MMSE). A commonly used assessment tool that evaluates cognitive functioning and produces a total possible score of 30 points. Patients who score below 24 are typically suspected of cognitive decline. 2. Neurosteer system (single channel EEG recording during cognitive auditory tasks). Using data analysis (a variant of the wavelet packet analysis and the best basis algorithm), the EEG signal is transformed into brain activity features (e.g. ST4, A0). Pearson correlation will be calculated between the mean activity of the EEG features and individual's MMSE score.
次要结局
- Inter-patient Variability Between Two Consecutive Measurement Sessions.(Through study completion, the brain activity features of each subject will be assessed twice within 7 days, using the Neurosteer EEG system.)