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CompletedNCT04683835Updated Nov 13, 2023Results posted

Evaluation of Cognitive State in Senior Subjects Using Neurosteer EEG System

An observational study in Mild Cognitive Impairment, sponsored by Neurosteer Ltd.. Completed at 1 site in Israel. Open to participants aged 50 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-11-13.

Sponsored by Neurosteer Ltd. · Observational

Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
80
Ages
50 Years and older
Sex
All
01

Study 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.

Read the 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.

02

Conditions studied

  • Mild Cognitive Impairment

Keywords

  • Cognition
  • Neurology
  • EEG
  • Neurosteer
03

In context

Cognitive Dysfunction

3,843 studies on the registry are indexed under Cognitive Dysfunction; 1,100 are open to participants now.

This study's enrollment of 80 is below the median of 150 across 950 observational studies indexed under Cognitive Dysfunction.

Browse Cognitive Dysfunction studies →

Lead sponsor

Neurosteer Ltd. is the lead sponsor of 4 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
50 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

The study population is comprised of patients from the inpatient rehabilitation department at Dorot Geriatric Medical Center.

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

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.
05

Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
80 participants (actual)
Patient registry
No

Groups and cohorts

  • Patients

    Patients who are assessed by the clinical staff using Mini-Mental State Exam (MMSE)

    Device: Neurosteer Aurora system

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

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What researchers measure

Primary outcomes

  1. 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.

Secondary outcomes

  1. 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.

07

Results

Posted Nov 13, 2023

Participant flow

Participant flow — Overall Study
MilestonePatients
Started80
Completed80
Not completed0

Outcome measures

PrimaryCorrelation 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.
Reported as:
Number · Pearson correlation coefficient
Correlation Between Cognition Level Changes as Evaluated by Current Clinical Tools (i.e. MMSE) and Brain Activity Features Extracted Using the Neurosteer Technology.
Pearson correlation coefficientPatients
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
SecondaryInter-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.
Reported as:
Number · Pearson correlation coefficient
Inter-patient Variability Between Two Consecutive Measurement Sessions.
Pearson correlation coefficientPatients
Inter-patient Variability Between Two Consecutive Measurement Sessions.0.583

Adverse events

Collected over Through study completion, twice a week during EEG recordings, up to 1 year.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Patients0/80 (0%)0/80 (0%)0/80 (0%)

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)Patients
<=18 years0
Between 18 and 65 years15
>=65 years65
Age, Continuous
Age, Continuous(years)Patients
Mean73.86 ± 10.33
Sex: Female, Male
Sex: Female, Male(Participants)Patients
Female40
Male40
Race and Ethnicity Not Collected
Race and Ethnicity Not Collected(Participants)Patients
Region of Enrollment
Region of Enrollment(participants)Patients
Israel80
MMSE score
MMSE score(units on a scale)Patients
Mean27.21 ± 2.05
08

Study locations

1 site
  • Dorot - Netanya Geriatric Medical Center
    Netanya, 42420, Israel
09

References and documents

Publications

  • 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. PubMed 1202204 ↗
  • 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. PubMed 19382130 ↗
  • 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. PubMed 24246494 ↗
  • 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. PubMed 27163677 ↗
  • 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. PubMed 30408596 ↗
  • 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. Erratum In: Nat Hum Behav. 2019 Feb;3(2):194. doi: 10.1038/s41562-019-0534-5. PubMed 30932053 ↗

Study documents

  • Protocol and statistical analysis plan · May 1, 2021

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 13, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04683835
Lead sponsor
Neurosteer Ltd.
Responsible party
Sponsor
First posted
Dec 24, 2020
Start date
Oct 15, 2020
Primary completion
Aug 1, 2021
Completion
Oct 1, 2021
Results posted
Nov 13, 2023
Last update
Nov 13, 2023

Study contacts

Ady Sasson, Dr.
principal investigator · Dorot, Geriatric Medical Center

Oversight

FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Nov 2023. You cannot join it, but the record below documents what was studied.

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