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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 and preforming tasks. EEG recordings will be analyzed using proprietary computational analyses.
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. An objective tool to asses the level of cognitive decline is therefore needed. Such a tool may be used to determine the level of cognitive decline independent of personal interpretation and/or variance between clinicians and provide consistency in assessment across patients and between medical facilities.
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. Patients (or legal guardian) will sign the Informed Consent Form (ICF). Research staff will set up an assessment session using Neurosteer system. In this session the patient will listen to the auditory assessment battery and perform tasks. Level of cognition will be assessed by Neurosteer technology and statistical analysis will be performed to validate the results.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients | Patients who are assessed by the clinical staff using Mini-Mental State Exam (MMSE) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Neurosteer Aurora system | Device | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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:
Pearson correlation will be calculated between the mean activity of the EEG features and individual's MMSE score. | MMSE score will be taken from previous evaluation performed in the institute. Through study completion, brain activity features will be assessed using the Neurosteer EEG system, in an average of twice a week. |
| Measure | Description | Time Frame |
|---|---|---|
| Usability and Tolerability of the Neurosteer System in the Elderly Population | Assessment will be conducted by questioning the subject after the test regarding tolerability to remain with the test equipment for the duration of the test and his ability to respond during the test. | 11 months |
| Overall Brain Activity in Patients |
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Inclusion Criteria:
Exclusion Criteria:
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The study population is comprised of patients from the inpatient rehabilitation department at Dorot Geriatric Medical Center were recruited to this study.
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| Name | Affiliation | Role |
|---|---|---|
| Ady Sasson, Dr. | Dorot, Geriatric Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dorot - Netanya Geriatric Medical Center | Netanya | 42420 | Israel |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 1202204 | Background | Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975 Nov;12(3):189-98. doi: 10.1016/0022-3956(75)90026-6. No abstract available. | |
| 19382130 | Background | Guerrero-Berroa E, Luo X, Schmeidler J, Rapp MA, Dahlman K, Grossman HT, Haroutunian V, Beeri MS. The MMSE orientation for time domain is a strong predictor of subsequent cognitive decline in the elderly. Int J Geriatr Psychiatry. 2009 Dec;24(12):1429-37. doi: 10.1002/gps.2282. |
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| ID | Title | Description |
|---|---|---|
| FG000 | 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. |
| Title | Milestones | Reasons Not Completed | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | 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. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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:
Pearson correlation will be calculated between the mean activity of the EEG features and individual's MMSE score. | Posted | Number | Pearson correlation coefficient | MMSE score will be taken from previous evaluation performed in the institute. Through study completion, brain activity features will be assessed using the Neurosteer EEG system, in an average of twice a week. |
|
Through study completion, in an average of twice a week during EEG recordings.
In this study the risk for any Serious Adverse Events is low, as the nature of the experiment is entirely non-invasive and merely records EEG data.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | 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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Small cohorts of patients: future studies should consider larger cohorts. High variability among subjects: future studies should consider more testing periods to quantify the variability within subjects.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Nathan Intrator, Prof. | Neurosteer | +1 (401) 837-0351 | nathan@neurosteer.com |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Jan 1, 2020 | Feb 18, 2021 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D060825 | Cognitive Dysfunction |
| ID | Term |
|---|---|
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
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Brain activity will be measured by the EEG test. Results will be included in statistical analysis that will take into consideration the brain activity as shown in the entire testing period, using power in the known frequency bands (Alpha - Theta). |
| 11 months |
| Overall Response to Auditory Stimulation | Brain activity will be measured by the EEG test, and behavioral results will be measured as well using a clicker. Results will be included in statistical analysis that will take into consideration the brain activity using power in the known frequency bands (Alpha - Theta) as well as subject responses to the auditory stimulation as shown in the entire testing period, using known parameters such as reaction times, accuracy and hit rate. | 11 months |
| 24246494 | Background | Meir-Hasson Y, Kinreich S, Podlipsky I, Hendler T, Intrator N. An EEG Finger-Print of fMRI deep regional activation. Neuroimage. 2014 Nov 15;102 Pt 1:128-41. doi: 10.1016/j.neuroimage.2013.11.004. Epub 2013 Nov 15. |
| 27163677 | Background | Meir-Hasson Y, Keynan JN, Kinreich S, Jackont G, Cohen A, Podlipsky-Klovatch I, Hendler T, Intrator N. One-Class FMRI-Inspired EEG Model for Self-Regulation Training. PLoS One. 2016 May 10;11(5):e0154968. doi: 10.1371/journal.pone.0154968. eCollection 2016. |
| 30408596 | Background | Goldway N, Ablin J, Lubin O, Zamir Y, Keynan JN, Or-Borichev A, Cavazza M, Charles F, Intrator N, Brill S, Ben-Simon E, Sharon H, Hendler T. Volitional limbic neuromodulation exerts a beneficial clinical effect on Fibromyalgia. Neuroimage. 2019 Feb 1;186:758-770. doi: 10.1016/j.neuroimage.2018.11.001. Epub 2018 Nov 5. |
| 30932053 | Background | Keynan JN, Cohen A, Jackont G, Green N, Goldway N, Davidov A, Meir-Hasson Y, Raz G, Intrator N, Fruchter E, Ginat K, Laska E, Cavazza M, Hendler T. Electrical fingerprint of the amygdala guides neurofeedback training for stress resilience. Nat Hum Behav. 2019 Jan;3(1):63-73. doi: 10.1038/s41562-018-0484-3. Epub 2018 Dec 10. |
| 35707705 | Derived | Molcho L, Maimon NB, Regev-Plotnik N, Rabinowicz S, Intrator N, Sasson A. Single-Channel EEG Features Reveal an Association With Cognitive Decline in Seniors Performing Auditory Cognitive Assessment. Front Aging Neurosci. 2022 May 30;14:773692. doi: 10.3389/fnagi.2022.773692. eCollection 2022. |
| Participants |
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| Age, Continuous | Mean | Standard Deviation | years |
|
| Sex: Female, Male | Count of Participants | Participants |
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| Race and Ethnicity Not Collected | Race and Ethnicity were not collected from any participant. | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| MMSE score | The Mini-Mental State Examination (MMSE) is a structured assessment tool that evaluates cognitive functioning. The MMSE produces a total possible score ranging from 0 to 30. Patients who score below 24 would typically be suspected for cognitive decline or early dementia. | Mean | Standard Deviation | units on a scale |
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| 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. |
|
|
| Secondary | Usability and Tolerability of the Neurosteer System in the Elderly Population | Assessment will be conducted by questioning the subject after the test regarding tolerability to remain with the test equipment for the duration of the test and his ability to respond during the test. | Not Posted | 11 months | Participants |
| Secondary | Overall Brain Activity in Patients | Brain activity will be measured by the EEG test. Results will be included in statistical analysis that will take into consideration the brain activity as shown in the entire testing period, using power in the known frequency bands (Alpha - Theta). | Not Posted | 11 months | Participants |
| Secondary | Overall Response to Auditory Stimulation | Brain activity will be measured by the EEG test, and behavioral results will be measured as well using a clicker. Results will be included in statistical analysis that will take into consideration the brain activity using power in the known frequency bands (Alpha - Theta) as well as subject responses to the auditory stimulation as shown in the entire testing period, using known parameters such as reaction times, accuracy and hit rate. | Not Posted | 11 months | Participants |
| 0 |
| 60 |
| 0 |
| 60 |
| 0 |
| 60 |
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