Mild Cognitive Impairment
Conditions
Keywords
Cognition, Neurology, EEG, Neurosteer
Brief summary
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.
Detailed description
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.
Interventions
DEVICENeurosteer Aurora system
The system is composed of hardware and software modules that facilitate the capture and interpretation of electrophysiological data as well as enable viewing the processed data in real time and offline. An electrode patch is attached on the subject's forehead to capture the electrophysiological signal. The signal is sent via low energy Bluetooth to an EEG Monitor. The signal is then sent via Wi-Fi to the cloud where the data is stored on a HIPAA compliant server. Data analysis performed in the cloud transforms the electrophysiological signal into easily readable data of brain activity, which is accessible via any web interface
Sponsors
Neurosteer Ltd.
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
50 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Men and women over the age of 50. * MMSE ≥ 24. * Patient is able to collaborate. * No other cognitive comorbidity. * No seizure events.
Exclusion criteria
* MMSE \< 24. * 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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation Between Cognition Level Changes as Evaluated by Current Clinical Tools (i.e. MMSE) and Brain Activity Features Extracted Using the Neurosteer Technology. | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| 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. | One limitation in the pilot study was high variability among subjects. Therefore, the aim of this study is to evaluate within-patient variability. For this purpose, subjects in this study will undergo two consecutive assessments over a period of one week. The within-patient variability will be evaluated by calculating the Pearson correlation between the mean activity of the EEG features in the first assessment session and the mean activity of the EEG features in the second assessment session. |
Countries
Israel
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Patients Patients who are assessed by the clinical staff using Mini-Mental State Exam (MMSE)
Neurosteer Aurora system: The system is composed of hardware and software modules that facilitate the capture and interpretation of electrophysiological data as well as enable viewing the processed data in real time and offline. An electrode patch is attached on the subject's forehead to capture the electrophysiological signal. The signal is sent via low energy Bluetooth to an EEG Monitor. The signal is then sent via Wi-Fi to the cloud where the data is stored on a HIPAA compliant server. Data analysis performed in the cloud transforms the electrophysiological signal into easily readable data of brain activity, which is accessible via any web interface | 80 |
| Total | 80 |
Baseline characteristics
| Characteristic | Patients | — |
|---|---|---|
| Age, Categorical <=18 years | 0 Participants | — |
| Age, Categorical >=65 years | 65 Participants | — |
| Age, Categorical Between 18 and 65 years | 15 Participants | — |
| Age, Continuous | 73.86 years STANDARD_DEVIATION 10.33 | — |
| MMSE score | 27.21 units on a scale STANDARD_DEVIATION 2.05 | — |
| Race and Ethnicity Not Collected | — | — Participants |
| Region of Enrollment Israel | 80 participants | — |
| Sex: Female, Male Female | 40 Participants | — |
| Sex: Female, Male Male | 40 Participants | — |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 80 |
| other Total, other adverse events | 0 / 80 |
| serious Total, serious adverse events | 0 / 80 |
Outcome results
Primary
Correlation Between Cognition Level Changes as Evaluated by Current Clinical Tools (i.e. MMSE) and Brain Activity Features Extracted Using the Neurosteer Technology.
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.
Time frame: 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.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Patients | Correlation Between Cognition Level Changes as Evaluated by Current Clinical Tools (i.e. MMSE) and Brain Activity Features Extracted Using the Neurosteer Technology. | 0.1486 Pearson correlation coefficient |
Secondary
Inter-patient Variability Between Two Consecutive Measurement Sessions.
One limitation in the pilot study was high variability among subjects. Therefore, the aim of this study is to evaluate within-patient variability. For this purpose, subjects in this study will undergo two consecutive assessments over a period of one week. The within-patient variability will be evaluated by calculating the Pearson correlation between the mean activity of the EEG features in the first assessment session and the mean activity of the EEG features in the second assessment session.
Time frame: Through study completion, the brain activity features of each subject will be assessed twice within 7 days, using the Neurosteer EEG system.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Patients | Inter-patient Variability Between Two Consecutive Measurement Sessions. | 0.583 Pearson correlation coefficient |