Trial Outcomes & Findings for Evaluation of Cognitive State in Senior Subjects Using Neurosteer EEG System (NCT NCT04683835)
NCT ID: NCT04683835
Last Updated: 2023-11-13
Results Overview
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.
COMPLETED
80 participants
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.
2023-11-13
Participant Flow
Participant milestones
| Measure |
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
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Overall Study
STARTED
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80
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Overall Study
COMPLETED
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80
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Overall Study
NOT COMPLETED
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0
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Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Race and Ethnicity were not collected from any participant.
Baseline characteristics by cohort
| Measure |
Patients
n=80 Participants
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
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Age, Categorical
<=18 years
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0 Participants
n=80 Participants
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Age, Categorical
Between 18 and 65 years
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15 Participants
n=80 Participants
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Age, Categorical
>=65 years
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65 Participants
n=80 Participants
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Age, Continuous
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73.86 years
STANDARD_DEVIATION 10.33 • n=80 Participants
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Sex: Female, Male
Female
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40 Participants
n=80 Participants
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Sex: Female, Male
Male
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40 Participants
n=80 Participants
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Region of Enrollment
Israel
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80 participants
n=80 Participants
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MMSE score
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27.21 units on a scale
STANDARD_DEVIATION 2.05 • n=80 Participants
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PRIMARY outcome
Timeframe: 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.
Outcome measures
| Measure |
Patients
n=80 Participants
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
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Correlation Between Cognition Level Changes as Evaluated by Current Clinical Tools (i.e. MMSE) and Brain Activity Features Extracted Using the Neurosteer Technology.
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0.1486 Pearson correlation coefficient
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SECONDARY outcome
Timeframe: 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.
Outcome measures
| Measure |
Patients
n=80 Participants
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
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|---|---|
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Inter-patient Variability Between Two Consecutive Measurement Sessions.
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0.583 Pearson correlation coefficient
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Adverse Events
Patients
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place