Effects of SMR Neurofeedback on Insomnia in Patients With Benign Brain Tumors
NCT ID: NCT05518942
Last Updated: 2024-04-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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TERMINATED
NA
5 participants
INTERVENTIONAL
2022-10-26
2023-04-19
Brief Summary
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Detailed Description
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Insomnia is the most common sleep disorder in patients with primary brain tumors. Insomnia refers to difficulty falling asleep, staying awake and unable to fall asleep while sleeping, frequently waking up during sleep period or shortening sleep time, resulting in still feeling tired after getting up and affecting daily life functions. In the past, in terms of the prevalence of insomnia, primary brain 21.5%\~59.2% of patients with tumor had insomnia symptoms, and if subdivided into benign, 46.8% of patients with primary benign brain tumor.
According to the results of the study, patients with primary brain tumors still have widespread and persistent insomnia problems after treatment, and even up to one year after surgery, there are still studies showing insomnia problems. Savard et al (2011) reported that insomnia is also a cancer A common and persistent problem among patients, the attack rate of insomnia generally decreased over time, but remained prevalent (36%) even at the end of 18 months. However, in real life, although insomnia has a high attack rate and a high burden on the family, and even affects the overall quality of life of patients, it is often not valued and treated.
Neurofeedback (NFB), also known as brain wave training, is a method to help subjects consciously control their brain waves. In order to reflect the state of brain activity, the software analyzes the measured brain waves and provides feedback signals to teach individuals to self-regulate brain waves. After repeated training, the target brain waves can be generated. When the threshold is reached, it will give visual and auditory feedback. Neurofeedback has been used clinically in many diseases and healthy individuals that cannot be effectively treated with drugs, such as insomnia, ADHD, epilepsy, fibromyalgia, depression, anxiety, pain, learning and memory, etc. For insomnia, the use of neurofeedback therapy can help people who usually take an hour or so to fall asleep fall asleep faster.
According to Lambert-Beaudet et al. (2021) reviewing the latest research on the use of neurofeedback in the treatment of insomnia, the enhancement of sensorimotor rhythm neurofeedback to improve insomnia was the most included and confirmed to improve insomnia. And multiple studies have confirmed that sensorimotor rhythm neurofeedback enhancement training can lead to increased sleep spindle density, decreased sleep onset latency, increased total sleep time, and decreased wake-up after falling asleep. Therefore, sensorimotor rhythm neurofeedback enhancement training can be an effective method for non-drug intervention in the treatment of insomnia. Given that the effects of sensorimotor rhythm neurofeedback training on insomnia have not been studied in patients with benign brain tumors after surgery, further studies in this group are warranted.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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sensorimotor rhythm neurofeedback training
Sensory motor rhythm neurofeedback: The subjects will perform 60 minutes per week for 10 weeks, with a total training time of 600 minutes. The intervention in this trial lasts for 10 weeks (1 time/week), with the goal of improving sensory motor rhythm. Since this training uses visual and auditory feedback, if patients are assigned to this group, they will be ask to wear an EEG cap with 19 electrodes. They can take a relaxed sitting posture and choose animations (e.g., puzzles, mazes, and other feedback content), and then focus on computer screen animation for training, each training time is approximately 60 minutes.
sensorimotor rhythm neurofeedback training
In this study, baseline brain waves will be recorded for 5 minutes before each treatment, and the average value of SMR waves was used as the basis for setting the treatment threshold for the week. During the treatment, the subjects are arranged to sit in front of a computer screen with a game or animation playing. The individual focuses on the games or animations on the screen. The software will analyze the brain wave signals from the brain and convert them into visual and auditory feedback on the computer screen. Clients can learn to control brain activity and give visual and auditory feedback when a set threshold is reached
control group
Patient should maintain their usual activity and treatment. Research assistants will weekly contact them to confirm their compliance.
No interventions assigned to this group
Interventions
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sensorimotor rhythm neurofeedback training
In this study, baseline brain waves will be recorded for 5 minutes before each treatment, and the average value of SMR waves was used as the basis for setting the treatment threshold for the week. During the treatment, the subjects are arranged to sit in front of a computer screen with a game or animation playing. The individual focuses on the games or animations on the screen. The software will analyze the brain wave signals from the brain and convert them into visual and auditory feedback on the computer screen. Clients can learn to control brain activity and give visual and auditory feedback when a set threshold is reached
Eligibility Criteria
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Inclusion Criteria
* Aged from 20 to 65 years old and conscious, able to communicate in Mandarin and Taiwanese.
* Cognitive ability sufficient to complete the questionnaire.
* Complaints of insomnia and ISI score ≥ 8
Exclusion Criteria
* Pregnant women.
* Jet lag workers, such as airline workers.
* Vision, hearing or motor dysfunction is severe enough to affect the participating researcher.
* Preoperative diagnosis of insomnia or long-term use of sleep aids or psychiatric drugs.
20 Years
65 Years
ALL
Yes
Sponsors
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Taipei Medical University
OTHER
Responsible Party
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Hsiao-Yean Chiu
Associate Professor
Locations
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Taipei Medical University Hospital.
Taipei, , Taiwan
Countries
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Other Identifiers
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202200998B0A3
Identifier Type: -
Identifier Source: org_study_id
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