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EEG as Predictor of HD-tDCS Effectiveness in Long COVID-19

F

Federal University of Paraíba

Status

Unknown

Conditions

Coronavirus COVID-19
Respiratory Infection

Treatments

Device: Experimental group
Device: Sham Control

Study type

Interventional

Funder types

Other

Identifiers

NCT05289128
LongCOVID/EEG/HDtDCS

Details and patient eligibility

About

COVID-19 is an infectious disease which presents a heterogenous clinical presentation. Recent investigations suggest that people who were infected by COVID-19 often develop physical disabilities (i.e. pain, fatigue) and neurological complications after hospital discharge. Many therapeutic approaches such as transcranial direct current stimulation (tDCS) have been proposed to minimize functional and structural impairments. Electroencephalogram (EEG) has been used in this population to assess electrophysiological changes in the brain. However, evidences about EEG utilization as efficacy predictor of tDCS in COVID-19 people rest inconclusive.Our objective is to evaluate EEG as neurobiological predictor marker of tDCS efficacy on fatigue, pain, quality of life, self-efficacy and functional capacity in the chronic phase of COVID-19.

Full description

A double-blinded randomized clinical trial will be carried to analyse the EEG as neurobiological predictor marker of HD-tDCS 4x1 in patients in long COVID-19. This study is in accordance with the CONSORT guidelines, which will investigate the effectiveness of treatment with HD-tDCS.

Patients who had a medical diagnosis of COVID-19, clinically stable, able to respond to simple commands, able to walk for six minutes and who sign study consent form will be enrolled. Those who present associated neurological diseases, pregnant, users of psychoactive drugs, patients who have metallic implants, electronic devices, pacemakers, or epileptic patients will be excluded.

Patients will be allocated randomly to the experimental group or sham control. Sessions for experimental group consist of anodal HD-tDCS on Left diaphragmatic primary motor cortex associated to respiratory training (10 sessions, 3mA, 20 minutes/session). In the sham condition, the device provided a 30-second ramp-up period to the full 3 mA, followed immediately by a 30-second ramp down.

Patients will be assessed in three moments: pre-treatment, post-treatment and after 30 days treatment ending (follow-up).

Enrollment

30 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Patients who had a medical diagnosis of COVID-19, clinically stable, able to respond to simple commands, able to walk for six minutes and who sign study consent form will be enrolled. Those who present associated neurological diseases, pregnant, users of psychoactive drugs, patients who have metallic implants, electronic devices, pacemakers, or epileptic patients will be excluded.

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Triple Blind

30 participants in 2 patient groups

Experimental Group/ Active HD-tDCS
Experimental group
Description:
Patients randomly enrolled in this group will receive 10 sessions of anodal HD-tDCS stimulation on cortical representation zone of left diaphragmatic motor cortex associated to respiratory training; for 20 minutes (each session) with a 2mA intensity. The electrical current will be delivered with a ramp-up time of 30 s, held at 3mA for 20 min, and then ramped down over 30 s.
Treatment:
Device: Experimental group
Control Group / Sham Group
Sham Comparator group
Description:
Patients enrolled in this group condition will receive 10 sessions of anodal stimulation on cortical representation zone of left diaphragmatic motor cortex using HD-tDCS associated to respiratory training; for 20 minutes (each session) with a 2mA intensity. In the sham condition, the device will provide a 30-second ramp-up followed immediately by a 30-second ramp down.
Treatment:
Device: Sham Control

Trial contacts and locations

1

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Central trial contact

Kelly Santana; Suellen Andrade, Phd

Data sourced from clinicaltrials.gov

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