Biofeedback-based Relaxation Training or Self-alert Training to Alleviate Fatigue in Multiple Sclerosis Patients.

April 9, 2019 updated by: Carina Sander, Rehazentrum Wilhelmshaven

The presented study compares the effectiveness of a biofeedback-based relaxation training with the effectiveness of a biofeedback-based self-alert training on the reduction of fatigue in multiple sclerosis patients using a between groups design. Furthermore, the relation of fatigue in multiple sclerosis patients and autonomic potentials as well as the performance in a vigilance task will be examined.

The relaxation training is based on the principle of progressive muscle relaxation according to Jacobsen. The patient is asked to tense all muscles in their face and perceive consciously the relaxation afterwards according to verbal cues. In the self-alert training condition, the patient will hear verbal cues to increase their attention. In both conditions the external cues given will be reduced in four phases until the patient has to cue himself. The patient is advised to track the changes in the skin resistance mirrored by biofeedback on a screen.

In both conditions the training will be split on two days. During the whole examination heart rate and skin resistance will be recorded. The allocation to the training happens randomly. On the first day the patient will complete questionnaires to survey depression and apathy and do a baseline vigilance task. Before and after the vigilance task the current fatigue status will be assessed using a visual analogue scale. Afterwards an introduction in the treatment method will be given.

On the second day the introduction into the training will be repeated. Afterwards a short time vigilance task will be done and questionnaires to survey fatigue and sleep behaviour and quality will be completed. Subsequently the last part of the training (no external cues) will be done. The examination will be completed by a long-time vigilance task. Before and after the vigilance task the current fatigue status will be assessed using a visual analogue scale.

It is hypothesised that especially the biofeedback-based self-alert training has a positive effect on fatigue and the vigilance performance in multiple sclerosis patients, as it increases the ectodermal activity and increases the sympathetic activation. It was shown that phasic changes of the skin resistance are correlated with an increase of neuronal activity in the brain areas relevant for vigilance (Critchley et al., 2002; Nagai et al., 2004). The relaxation training will reduce the sympatho-adrenergic excitation disposition and reduce the level of activity. Consequently, we do not expect an alleviation of the perceived fatigue according to our underlying model (Hanken et al., 2016). In addition, it is hypothesized that, independent from the treatment, autonomic potentials correlate with fatigue.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

61

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Lower Saxony
      • Wilhelmshaven, Lower Saxony, Germany, 26382
        • Rehazentrum Wilhelmshaven

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • at least a moderate cognitive fatigue (Fatigue Scale for Motor and Cognition minimum 22)
  • clinical diagnosis of Multiple Sclerosis

Exclusion Criteria:

  • psychiatric conditions independent from Multiple Sclerosis
  • Pregnancy
  • regular intake of psychostimulants
  • no relapse in the last four weeks before
  • no cortisone therapy in the last four weeks before
  • patients with schizophrenia or serious personality disorders

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Self-Alert Training
Biofeedback-based Self-Alert Training Vigilance Task Questionnaires accessing apathy, fatigue, depression, sleep quality, sleep behavior
The skin conductance of the patient is measured and fed back to the patient via screen.
Self-Alert Training
Active Comparator: Relaxation Training
Biofeedback-based Relaxation Training Vigilance Task Questionnaires accessing apathy, fatigue, depression, sleep quality, sleep behavior
The skin conductance of the patient is measured and fed back to the patient via screen.
Relaxation Training

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Reaction Time of Vigilance Task (TAP)
Time Frame: Vigilance is measured at the beginning of the first day before the training introduction as well as after the training at the second day.
Changes of the reaction time in the vigilance task
Vigilance is measured at the beginning of the first day before the training introduction as well as after the training at the second day.
Subjective Fatigue (VAS)
Time Frame: Before and after the long-term vigilance tasks at day 1 and 2
The current perceived fatigue
Before and after the long-term vigilance tasks at day 1 and 2

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Omissions and errors of Vigilance Task (TAP)
Time Frame: At day one before the introduction in the training and at day two after the training.
The number of omissions and errors made in the Vigilance Task
At day one before the introduction in the training and at day two after the training.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Study Director: Helmut Hildebrandt, Prof, Carl- von Ossietzky University Oldenburg

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 17, 2017

Primary Completion (Actual)

June 9, 2018

Study Completion (Actual)

October 18, 2018

Study Registration Dates

First Submitted

August 29, 2017

First Submitted That Met QC Criteria

August 30, 2017

First Posted (Actual)

August 31, 2017

Study Record Updates

Last Update Posted (Actual)

April 11, 2019

Last Update Submitted That Met QC Criteria

April 9, 2019

Last Verified

April 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • 009/2017

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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