Status:

UNKNOWN

Electroencephalographia as Predictor of Effectiveness HD-tDCS in Neuropathic Pain: Machine Learning Approach

Lead Sponsor:

Federal University of Paraíba

Conditions:

Traumatic Brachial Plexus Lesion

Chronic Pain

Eligibility:

All Genders

18+ years

Brief Summary

Contextualization: Neuropathic pain is a complication present in the clinical picture of patients with traumatic Brachial Plexus injury (BPI). It is characterized by high intensity, severity and refra...

Detailed Description

Using connectivity-based prediction and machine learning, the objective is to assess whether characteristics related to baseline EEG predict the response of patients with neuropathic pain after BPI to...

Eligibility Criteria

Inclusion

  • Age over 18 years;
  • Moderate to severe pain score according to the Numerical Pain Scale (4-10);
  • Persistent pain and refractory to clinical treatment for at least 3 months;
  • Appropriate pharmacological treatment for pain for at least 1 month before the start of the study;
  • Not presenting contraindications for Non-Invasive Brain Stimulation;
  • Absence of concomitant diseases of the Central Nervous Sistem or Peripheral Nervous Sistem.

Exclusion

  • Failure to sign the informed consent form;
  • Missing two consecutive or three alternate sessions during treatment;
  • Developing a disabling condition that prevents further participation in the study

Key Trial Info

Start Date :

June 15 2021

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

June 15 2022

Estimated Enrollment :

30 Patients enrolled

Trial Details

Trial ID

NCT04852536

Start Date

June 15 2021

End Date

June 15 2022

Last Update

April 21 2021

Active Locations (1)

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Federal University of Paraíba,Department of Psychology

João Pessoa, Paraíba, Brazil, 58051-900