Correlates Between EEG Microstates and Clinical Characteristics of People With Stroke

NCT05519631 | Unknown DMC

• 1 other identifier: microstates_stroke_Obs
• Study Type: observational
• Target: 45
• Locations: 1 country
• Sites: 1

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.

Conditions

Stroke; Electroencephalogram

Outcome Measures

Primary Outcomes (1)

• 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 Outcomes (2)

• Relationship between microstates and injury severity

  Immediately after evaluation

• Relationship between microstates and cognitive function

  Immediately after evaluation

Study Arms (3)

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

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

healthy

Only the EEG will be collected

Other: electroencephalogram

Interventions

electroencephalogram OTHER

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; healthy; subacute stroke

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• 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.

You may qualify if:

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

You may not qualify if:

• have other associated neurological pathology

Sponsors & Collaborators

• Federal University of Paraíba: lead

Study Sites (1)

Aging and Neuroscience Studies Laboratory

João Pessoa, Brazil

RECRUITING

MeSH Terms

Conditions

Stroke

Condition Hierarchy (Ancestors)

Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Vascular Diseases; Cardiovascular Diseases

Study Officials

• Suellen Andrade, Dra

  Federal University of Paraiba

  PRINCIPAL INVESTIGATOR

Central Study Contacts

LETICIA MARIA

CONTACT

81 993684588; leticiamaria.fisio@gmail.com

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: August 4, 2022
• First Posted: August 29, 2022
• Study Start: January 30, 2023
• Primary Completion: May 30, 2023
• Study Completion: September 20, 2023
• Last Updated: May 3, 2023

Record last verified: 2023-04

Data Sharing

• IPD Sharing: Will not share

Locations

BR (1)