Neurofeedback Improves Cognitive Performance and EEG Activity in Elderly With Mild Cognitive Impairment
- Conditions
- Mild Cognitive Impairment
- Registration Number
- NCT03855319
- Lead Sponsor
- Fabienne Marlats
- Brief Summary
This is a non-pharmacological pilot study showing the improvement of a SMR/theta neurofeedback training program on cognitive performance and EEG activity in Elderly with Mild Cognitive Impairment.
- Detailed Description
Neurofeedback training (NF) as self-regulation method of brain activity, may be beneficial in elderly with mild cognitive impairment. In this pilot study, the investigators studied whether a sensorimotor(SMR)/theta NF training could improve cognitive performance and brain electrical activity in a sample group of elderly patients with mild cognitive impairment. Twenty participants performed an electroencephalography recording, a battery of neuropsychological tests before the neurofeedback training program (T0), following the neurofeedback training program (T1) and 1-month follow-up (T2).
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 20
- Clinical diagnosis of Mild Cognitive Impairment
- education level of 9 years of studies minimum
- righthandedness
- subjective memory complaint confirmed by an informant
- a Mini Mental Status Examination score >20.
- preserve activity of daily living and absence of dementia.
- elderly persons who were under guardianship
- resident in nursing facilities
- neurological disease, psychiatric disease
- and involved in another cogniitve intervention.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Primary Outcome Measures
Name Time Method Rey Auditory Verbal Learning test Assessment at baseline, change from baseline to 11 weeks immediately after the NF training and 1 month follow-up Assessment of verbal learning in episodic memory, evaluating the ability to encode, combine, store and long-term consolidation process.
- Secondary Outcome Measures
Name Time Method Relative power for delta, theta, alpha, sensorimotor and lower beta frequency bands. Assessment at baseline, change from baseline to 11 weeks immediately after the NF training and 1 month follow-up Electroencephalography was recorded and EEG power spectrum was calculated using the fast Fourier transform. The power spectral density was calculated to extract the relative power for each frequency band and estimated as a log-ratio.