CEEG Changes After Tdcs and Dual-task Training
- Conditions
- StrokeElectroencephalogram
- Interventions
- Device: transcranial direct current stimulation
- Registration Number
- NCT05492435
- 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. Technological advances in the neurological area have been observed in the last decades, which accentuates the interest in promoting non-invasive stimulation techniques, capable of modulating brain polarity, where among these techniques is the transcranial direct current stimulation - tDCS. Previous studies analyzed by systematic reviews suggest that the effects of tDCS may vary between individuals, where some stroke patients may not receive any additional benefit from the therapy. Thus, it is necessary to use a biomarker that can choose those that will possibly benefit from the electric current. Therefore, the aim of this study is to identify the dynamics of EEG microstates after tDCS and dual-task training in subjects after chronic stroke, as well as to assess how microstate parameters in stroke patients are altered by tDCS and dual-task training. at three different moments (Stimulation in M1 + dual-task training; Stimulation in M1 and DLPF + dual-task training; Sham stimulation) and to observe whether the microstates encode information that reflects the motor and/or cognitive capacity of these patients.
- Detailed Description
Cerebrovascular Accident (CVA) has been considered one of the main causes of long-term disability in the adult population. Stroke usually causes deficits such as asymmetrical muscle weakness between limbs, impaired proprioceptive ability, sensory loss, vision problems, and spasticity. In post-stroke patients, it is believed that the interhemispheric balance may be altered as a result of brain injury, the theory of interhemispheric competition is widely used as a theoretical basis for the application of non-invasive neuromodulatory techniques. Technological advances in the neurological field have been seen in recent decades, which accentuates the interest in promoting non-invasive stimulation techniques, capable of modulating brain polarity, where among these techniques is transcranial direct current stimulation - tDCS. Previous studies analyzed by systematic reviews suggest that the effects of tDCS may vary between subjects, where some stroke patients may not receive any additional benefit from the therapy. Thus, it is necessary to use a biomarker that can choose those who will possibly benefit from the electric current. Therefore, the aim of this study is to identify the dynamics of EEG microstates after tDCS and dual-task training in subjects after chronic stroke, as well as to assess how microstate parameters in stroke patients are altered by tDCS and dual-task training at three different times (Stimulation in M1 + dual-task training; Stimulation in M1 and DLPF + dual-task training; Sham stimulation) and observe whether the microstates encode information that reflects the motor and/or cognitive capacity of these patients. For this, a clinical trial, sham-controlled, double-blind and randomized, of crossover type, involving patients with stroke in chronic stage will be carried out. Participants will be submitted to three sessions, each session consisting of a different condition, namely: first condition (anodic tDCS) participants will receive real current over the primary motor area (M1); second condition (dualsite tDCS) participants will receive real current over M1 and dorsolateral prefrontal area (DLPFC) and third condition (sham tDCS) participants will receive simulated stimulation. A 3-minute resting EEG will be collected from each participant, and they will be instructed not to actively engage in any cognitive or mental activity. In all stimulation sessions, evaluations will be carried out, the evaluated outcomes will be: change in EEG microstates, cognitive function and motor function. Statistical analyzes will be performed using SPSS software (Statistical Package for Social Sciences - SPSS Inc, Chicago IL, USA for Windows, Version 20.0) and MATLAB (9.2.0 (MathWorks, Inc., Natick, MA) with a defined level of significance at p\<0.05.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 35
- Individuals diagnosed with stroke for more than 6 months;
Proven by means of magnetic resonance imaging or computed tomography;
Individuals aged 18 and over;
Both sexes;
Patients with mild to moderate degree of injury severity (NIHHS < 17 points)
- Individuals who are unable to communicate verbally;
Use of drugs that modulate the activity of the Central Nervous System;
Carriers of implanted metallic or electronic devices; cardiac pacemaker;
Habitual use of drugs or alcohol;
Report of history of epilepsy; gestation; people with traumatic brain injury or tumors.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- CROSSOVER
- Arm && Interventions
Group Intervention Description m1 stimulation + dual task training transcranial direct current stimulation participants will receive real current over the primary motor area (M1) stimulation in M1 and DLPF + dual task training transcranial direct current stimulation participants will receive real current over the M1 and over the dorsolateral prefrontal area (DLPFC) sham stimulation + dual task training transcranial direct current stimulation Participants will receive simulated stimulation
- Primary Outcome Measures
Name Time Method Changes in EEG microstates in each stimulation condition immediately after the sessions Microstate analysis was performed using the EEGLAB microstate plugin developed by Thomas Koenig (Koenig, 2021). First, at the individual level, we compute global field power (GFP) across all channels and microstate segmentation using the modified k-means clustering algorithm method to isolate map topographies. Polarity was ignored during microstate analysis. After obtaining the microstate segmentation of each participant, we calculated an average of the microstate segmentation of each group as models. The successive original individual EEG series were then divided into four classic microstate maps (they are labeled as four classes A, B, C and D, which are left-right direction (type A), left-right direction (type B), anteroposterior direction (type C) and frontocentral maximum (type D)).
- Secondary Outcome Measures
Name Time Method Cognitive function - verbal fluency test (VF). immediately after the sessions The VF test assesses several domains such as working memory, language, organizational skills and sequencing. In this test, the patient is asked to speak the largest number of words (within each required category). In the VF test, responses are scored, but repetitions are not considered.
Cognitive function - trail test (TMT) A and B immediately after the sessions TMT consists of connecting letters in the order they appear in the alphabet (A tracks); or letters to numbers, also following the sequence in which they appear in the alphabet, for example, 1-A-2-B and so on (B tracks), with the possibility of evaluating the cognitive components of planning, organization, attention, perseverance and memory.
motor function immediately after the sessions The Timed Up and Go Test (TUG) test will be used
Cognitive function - clock drawing test immediately after the sessions Currently, the RDT is widely used, it is simple to apply and quick to perform, which assesses several cognitive dimensions, such as memory, motor function, executive function and verbal comprehension. Regarding its score, the Shulman scale scores 5 points in total and a cut-off point equal to 3. The Mendez scale scores up to 20 points for the perfect design of the watch, with a cut-off point equal to 18 points.
Trial Locations
- Locations (1)
Aging and Neuroscience Studies Laboratory
🇧🇷João Pessoa, Brazil