Correlates Between EEG Microstates and Clinical Characteristics of People With Stroke

Stroke has been considered one of the main causes of long-term disability in the adult population, and is no longer considered a disease of the elderly, since 2/3 of all strokes occur among people under 70 years of age. According to the Ministry of Health, stroke is responsible for 40% of early retirements, being one of the most important causes of mortality in Brazil. The electroencephalogram (EEG) has been shown to be a very useful tool in the study of functional status and for the diagnosis of brain damage and disorders. It is considered a simple, non-invasive test with high temporal resolution, being a method widely used in laboratories to non-invasively monitor brain activity.

Study Overview

• Status: Recruiting
• Conditions: Stroke; Electroencephalogram
• Intervention / Treatment: Other: electroencephalogram

Detailed Description

Stroke has been considered one of the main causes of long-term disability in the adult population, and is no longer considered a disease of the elderly, since 2/3 of all strokes occur among people under 70 years of age. According to the Ministry of Health, stroke is responsible for 40% of early retirements, being one of the most important causes of mortality in Brazil. Stroke usually causes long-term deficits such as asymmetrical muscle weakness between limbs, impaired proprioceptive ability, sensory loss, vision problems, and spasticity. In addition, these sensorimotor deficits interfere with various functions of the lower limbs, including balance, postural control, and gait ability, affecting their quality of life. The electroencephalogram (EEG) has been shown to be a very useful tool in the study of functional status and for the diagnosis of brain damage and disorders. It is considered a simple, non-invasive test with high temporal resolution, being a method widely used in laboratories to non-invasively monitor brain activity. Microstates reflect short periods (~100 ms) of nearly stable brain states evolving over time, resulting from the synchronous and coordinated activity of brain networks. The aim of this study is to observe whether EEG microstates have correlations with clinical characteristics of people with stroke.

• Study Type: Observational
• Enrollment (Anticipated): 45

Contacts and Locations

• Study Contact: Name: LETICIA MARIA; Phone Number: 81 993684588; Email: leticiamaria.fisio@gmail.com

Study Locations

• Brazil
  • Joao Pessoa, Brazil
    • Recruiting
    • Aging and Neuroscience Studies Laboratory
    • Contact: Suellen Andrade

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes

• Sampling Method: Non-Probability Sample

Study Population

The sample consisted of 45 people, 15 individuals with subacute stroke, 15 individuals with chronic stroke and 15 healthy controls, selected for convenience. Stroke subjects were recruited through personal invitations from individuals admitted to a hospital's neurology outpatient clinic.

Individuals matched by sex and age, with no history of neurological or psychiatric diseases, were recruited to the control group.

Description

Inclusion Criteria:

• people over 18 years of age, regardless of sex and with a stroke confirmed by computed tomography or magnetic resonance imaging.

Exclusion Criteria:

• have other associated neurological pathology

Study Plan

How is the study designed?

Design Details

• Observational Models: Other
• Time Perspectives: Cross-Sectional

Number of groups / cohorts

3

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
subacute stroke; Participants were evaluated for clinical outcome before the electroencephalogram examination. They were evaluated with the National Institute of Health Stroke Scale (NIHSS) to quantify the severity and magnitude of neurological deficit after stroke and by the Montreal Cognitive Assessment (MoCA) to assess cognitive function.	Other: electroencephalogram; The EEG is the recording of electrical activity in the brain in different regions of the cortex. The capture of electrical signals is performed by attaching electrodes to the surface of the scalp. As the EEG signal has an amplitude in microvolts (µVpp) it is necessary to use amplifiers, leaving the signal possible to be registered. The electrode-electrolyte interface is very important and must be able to provide a good connection between the skin and the conductive material of the electrode, otherwise the EEG signal, in addition to being contaminated by noise, may suffer distortion.
chronic stroke; Participants were evaluated for clinical outcome before the electroencephalogram examination. They were evaluated with the National Institute of Health Stroke Scale (NIHSS) to quantify the severity and magnitude of neurological deficit after stroke and by the Montreal Cognitive Assessment (MoCA) to assess cognitive function.	Other: electroencephalogram; The EEG is the recording of electrical activity in the brain in different regions of the cortex. The capture of electrical signals is performed by attaching electrodes to the surface of the scalp. As the EEG signal has an amplitude in microvolts (µVpp) it is necessary to use amplifiers, leaving the signal possible to be registered. The electrode-electrolyte interface is very important and must be able to provide a good connection between the skin and the conductive material of the electrode, otherwise the EEG signal, in addition to being contaminated by noise, may suffer distortion.
healthy; Only the EEG will be collected	Other: electroencephalogram; The EEG is the recording of electrical activity in the brain in different regions of the cortex. The capture of electrical signals is performed by attaching electrodes to the surface of the scalp. As the EEG signal has an amplitude in microvolts (µVpp) it is necessary to use amplifiers, leaving the signal possible to be registered. The electrode-electrolyte interface is very important and must be able to provide a good connection between the skin and the conductive material of the electrode, otherwise the EEG signal, in addition to being contaminated by noise, may suffer distortion.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
eeg microstates	We will determine the number of topographic maps using a pre-determined criterion of the four "classical" maps (A, B, C and D) and classify the continuous EEG data according to the topographic map with which a given stretch has the highest correlation.	Immediately after evaluation

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Relationship between microstates and injury severity	They were evaluated with the National Institute of Health Stroke Scale (NIHSS) to quantify the severity and magnitude of the neurological deficit after the stroke.	Immediately after evaluation
Relationship between microstates and cognitive function	assessment of cognitive function - Montreal Cognitive Assessment (MoCA)	Immediately after evaluation

Collaborators and Investigators

• Sponsor: Federal University of Paraíba
• Investigators: Principal Investigator: Suellen Andrade, Dra, Federal University of Paraíba

Study record dates

Study Major Dates

• Study Start (Actual): January 30, 2023
• Primary Completion (Anticipated): May 30, 2023
• Study Completion (Anticipated): September 20, 2023

Study Registration Dates

• First Submitted: August 4, 2022
• First Submitted That Met QC Criteria: August 25, 2022
• First Posted (Actual): August 29, 2022

Study Record Updates

• Last Update Posted (Actual): May 3, 2023
• Last Update Submitted That Met QC Criteria: April 28, 2023
• Last Verified: April 1, 2023

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Cardiovascular Diseases; Vascular Diseases; Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Stroke
• Other Study ID Numbers: microstates_stroke_Obs

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No