Correlates Between EEG Microstates and Clinical Characteristics of People With Stroke

Recruiting

• Conditions: Stroke; Electroencephalogram
• Interventions: Other: electroencephalogram

• Registration Number: NCT05519631
• Lead Sponsor: Federal University of Paraíba

Brief Summary

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.

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 Timeline

• Study First Submitted: 2022-08-04
• Study First Submitted QC: 2022-08-25
• Study First Posted: 2022-08-29
• Study Start: 2023-01-30
• Status Verified: 2023-04
• Last Update Submitted: 2023-04-28
• Last Update Posted: 2023-05-03
• Primary Completion: 2023-05-30
• Study Completion: 2023-09-20

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 45

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 & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
chronic stroke	electroencephalogram	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.
subacute stroke	electroencephalogram	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.
healthy	electroencephalogram	Only the EEG will be collected

Primary Outcome Measures

Name	Time	Method
eeg microstates	Immediately after evaluation	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.

Secondary Outcome Measures

Name	Time	Method
Relationship between microstates and injury severity	Immediately after evaluation	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.
Relationship between microstates and cognitive function	Immediately after evaluation	assessment of cognitive function - Montreal Cognitive Assessment (MoCA)

Trial Locations

Locations (1)

Aging and Neuroscience Studies Laboratory; 🇧🇷 Joao Pessoa, Brazil