Brain Connectivity Measured With High-density Electroencephalography

NCT ID: NCT06298097

Last Updated: 2024-03-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

170 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-06-11

Study Completion Date

2025-02-02

Brief Summary

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Emerging scientific results show that disrupted functional connectivity in stroke can explain behavioral impairments and predict their recovery over time. However, no technique is yet available for widespread use in clinics to examine how neural synchronization in brain networks is altered in stroke patients. This is crucial to determine favorable prognostic factors and to define individualized rehabilitation protocols. Importantly, the investigators have successfully used high-density electroencephalography (hdEEG) in healthy individuals to measure neural synchronization in brain networks. In this project, the investigators will develop methods and tools based on hdEEG for assessing functional connectivity in stroke patients. These methods and tools will be employed to examine how neural changes occurring after brain lesions explain behavioral impairments. The project will open the way for the use of hdEEG at the patient's bedside, as a neurodiagnostic tool for stroke as well as other brain disorders.

Detailed Description

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Conditions

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Stroke

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

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stroke patients

Resting-state networks obtained through electroencephalography will be analyzed in a group of stroke patients.

Group Type OTHER

Connectivity measures

Intervention Type DEVICE

Electroencephalography connectivity measures will be collected and compared in both stroke patients and healthy participants. Connectivity measures will be extracted using these devices: high-density electroencephalography (using either a 128-channel or a 256-channel system) and magnetic resonance imaging.

healthy participants

Resting-state networks obtained through electroencephalography will be analyzed in a group of healthy participants.

Group Type OTHER

Connectivity measures

Intervention Type DEVICE

Electroencephalography connectivity measures will be collected and compared in both stroke patients and healthy participants. Connectivity measures will be extracted using these devices: high-density electroencephalography (using either a 128-channel or a 256-channel system) and magnetic resonance imaging.

Interventions

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Connectivity measures

Electroencephalography connectivity measures will be collected and compared in both stroke patients and healthy participants. Connectivity measures will be extracted using these devices: high-density electroencephalography (using either a 128-channel or a 256-channel system) and magnetic resonance imaging.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* right or left hemisphere damage
* unilateral stroke
* compliance with magnetic resonance imaging (e.g., no claustrophobia)


• compliance with magnetic resonance imaging (e.g., no claustrophobia)

Exclusion Criteria

• no comorbidities with psychiatric disorders
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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IRCCS San Camillo, Venezia, Italy

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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IRCCS San Camillo Hospital

Venice, , Italy

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Dante Mantini

Role: CONTACT

+39 0412207594

Giorgio Arcara

Role: CONTACT

Facility Contacts

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Role: primary

Other Identifiers

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2019.11

Identifier Type: -

Identifier Source: org_study_id

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