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

NCT ID: NCT03268187

Last Updated: 2019-04-11

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 61 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2017-07-17
• Study Completion Date: 2018-10-18

Brief Summary

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.

Conditions

Fatigue; Multiple Sclerosis

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: TREATMENT
• Blinding Strategy: NONE

Study Groups

Self-Alert Training

Biofeedback-based Self-Alert Training Vigilance Task Questionnaires accessing apathy, fatigue, depression, sleep quality, sleep behavior

Group Type: EXPERIMENTAL

Biofeedback

Intervention Type: DEVICE

The skin conductance of the patient is measured and fed back to the patient via screen.

Self-Alert Training

Intervention Type: BEHAVIORAL

Self-Alert Training

Relaxation Training

Biofeedback-based Relaxation Training Vigilance Task Questionnaires accessing apathy, fatigue, depression, sleep quality, sleep behavior

Group Type: ACTIVE_COMPARATOR

Biofeedback

Intervention Type: DEVICE

The skin conductance of the patient is measured and fed back to the patient via screen.

Relaxation Training

Intervention Type: BEHAVIORAL

Relaxation Training

Interventions

Biofeedback

The skin conductance of the patient is measured and fed back to the patient via screen.

Intervention Type: DEVICE

Self-Alert Training

Self-Alert Training

Intervention Type: BEHAVIORAL

Relaxation Training

Relaxation Training

Intervention Type: BEHAVIORAL

Eligibility Criteria

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

• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Rehazentrum Wilhelmshaven

OTHER

Sponsor Role: lead

Responsible Party

Carina Sander

Psychologist

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Helmut Hildebrandt, Prof

Role: STUDY_DIRECTOR

Carl- von Ossietzky University Oldenburg

Locations

Rehazentrum Wilhelmshaven

Wilhelmshaven, Lower Saxony, Germany

Countries

Germany

References

Sander C, Braun N, Modes F, Schlake HP, Eling P, Hildebrandt H. Can biofeedback-based training alleviate fatigue and vigilance performance in fatigued MS patients? Neuropsychol Rehabil. 2022 Jan;32(1):131-147. doi: 10.1080/09602011.2020.1808023. Epub 2020 Aug 27.

Reference Type: DERIVED

PMID: 32851896 (View on PubMed)

Other Identifiers

009/2017

Identifier Type: -

Identifier Source: org_study_id