Biofeedback-based Relaxation Training or Self-alert Training to Alleviate Fatigue in Multiple Sclerosis Patients.
1 other identifier
interventional
61
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jul 2017
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 17, 2017
CompletedFirst Submitted
Initial submission to the registry
August 29, 2017
CompletedFirst Posted
Study publicly available on registry
August 31, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 9, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
October 18, 2018
CompletedApril 11, 2019
April 1, 2019
11 months
August 29, 2017
April 9, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Reaction Time of Vigilance Task (TAP)
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)
The current perceived fatigue
Before and after the long-term vigilance tasks at day 1 and 2
Secondary Outcomes (1)
Omissions and errors of Vigilance Task (TAP)
At day one before the introduction in the training and at day two after the training.
Study Arms (2)
Self-Alert Training
EXPERIMENTALBiofeedback-based Self-Alert Training Vigilance Task Questionnaires accessing apathy, fatigue, depression, sleep quality, sleep behavior
Relaxation Training
ACTIVE COMPARATORBiofeedback-based Relaxation Training Vigilance Task Questionnaires accessing apathy, fatigue, depression, sleep quality, sleep behavior
Interventions
The skin conductance of the patient is measured and fed back to the patient via screen.
Eligibility Criteria
You may qualify if:
- at least a moderate cognitive fatigue (Fatigue Scale for Motor and Cognition minimum 22)
- clinical diagnosis of Multiple Sclerosis
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Rehazentrum Wilhelmshaven
Wilhelmshaven, Lower Saxony, 26382, Germany
Related Publications (1)
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.
PMID: 32851896DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Helmut Hildebrandt, Prof
Carl- von Ossietzky University Oldenburg
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Psychologist
Study Record Dates
First Submitted
August 29, 2017
First Posted
August 31, 2017
Study Start
July 17, 2017
Primary Completion
June 9, 2018
Study Completion
October 18, 2018
Last Updated
April 11, 2019
Record last verified: 2019-04