Evaluation of Cognitive State in Seniors Using Neurosteer EEG System

NCT ID: NCT05528445

Last Updated: 2024-05-06

Study Results

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Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

77 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-05-31

Study Completion Date

2023-08-27

Brief Summary

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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.

Detailed Description

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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 assessment session using the Neurosteer system. In this session the patient will listen to the auditory assessment battery and perform cognitive tasks. Over the next 7 days, clinical staff will set up another session using the Neurosteer system. In this session the patient will listen to auditory instructions and perform two PASS sub-tasks: a drug sorting task and a phone use task.

Level of cognition will be assessed by validated screening tools (MMSE and MoCA) and the Neurosteer technology.

Conditions

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Cognitive Decline

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

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Patients

Patients who are assessed by the clinical staff using Mini-Mental State Exam (MMSE) and Montreal-Cognitive-Assessment-Test(MoCA)

Neurosteer EEG recorder

Intervention Type 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.

Interventions

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Neurosteer EEG recorder

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.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Men and women over the age of 50.
* MMSE ≥ 10
* Patient is able to collaborate.
* No seizure events.

Exclusion Criteria

* Advanced stage of cognitive decline (MMSE \< 10).
* Any verbal or non-verbal form of objection from patient or form patient's family member or significant other.
* Significant hearing impairments.
* Significant vision impairments.
* Damage to integrity of scalp and/or skull.
* Skin irritation in the facial and forehead area.
* Epilepsy or seizure activity.
* History of drug abuse.
Minimum Eligible Age

50 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Neurosteer Ltd.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ady Sasson

Role: PRINCIPAL_INVESTIGATOR

Dorot, Geriatric Medical Center

Locations

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Dorot - Netanya Geriatric Medical Center

Netanya, , Israel

Site Status

Countries

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Israel

References

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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.

Reference Type BACKGROUND
PMID: 35707705 (View on PubMed)

Maimon NB, Bez M, Drobot D, Molcho L, Intrator N, Kakiashvilli E, Bickel A. Continuous Monitoring of Mental Load During Virtual Simulator Training for Laparoscopic Surgery Reflects Laparoscopic Dexterity: A Comparative Study Using a Novel Wireless Device. Front Neurosci. 2022 Jan 20;15:694010. doi: 10.3389/fnins.2021.694010. eCollection 2021.

Reference Type BACKGROUND
PMID: 35126032 (View on PubMed)

Curcic J, Vallejo V, Sorinas J, Sverdlov O, Praestgaard J, Piksa M, Deurinck M, Erdemli G, Bugler M, Tarnanas I, Taptiklis N, Cormack F, Anker R, Masse F, Souillard-Mandar W, Intrator N, Molcho L, Madero E, Bott N, Chambers M, Tamory J, Shulz M, Fernandez G, Simpson W, Robin J, Snaedal JG, Cha JH, Hannesdottir K. Description of the Method for Evaluating Digital Endpoints in Alzheimer Disease Study: Protocol for an Exploratory, Cross-sectional Study. JMIR Res Protoc. 2022 Aug 10;11(8):e35442. doi: 10.2196/35442.

Reference Type BACKGROUND
PMID: 35947423 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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032022

Identifier Type: -

Identifier Source: org_study_id

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