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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT02987842
Other study ID # BeershevaMHC
Secondary ID
Status Not yet recruiting
Phase N/A
First received December 7, 2016
Last updated December 12, 2016
Start date December 2016
Est. completion date December 2017

Study information

Verified date December 2016
Source Beersheva Mental Health Center
Contact Doron Todder, MD/PhD
Phone 972-8-6401767
Email doron.todder@pbsh.health.gov.il
Is FDA regulated No
Health authority Israel: Ministry of Health
Study type Interventional

Clinical Trial Summary

This study protocol proposes an EEG based neurofeedback (EEG-NFB) technique to upregulate the posterior cingulate cortex (PCC) in patients suffering from mild cognitive impairment (MCI) and early Alzheimer's disease (AD).

EEG-NFB has been successfully used as a clinical tool for over 40 years. It is based on electrical activity measured near the surface of the brain using EEG and fed back to the patient within half a second.

MCI is a clinical condition considered as a precursor of AD. NFB appears to be a promising approach to treat MCI, since it has been shown to be able to induce changes in brain plasticity. This research focuses on the PCC, which has been reported to be implicated in MCI, and due to its location (proximity to the surface) accessible by means of EEG- NFB.

A preliminary research in MCI patients, conducted at our lab showed the lower the memory score was at the beginning of the training, the better a subject managed to improve later on. The investigators therefore presume that patients with early Alzheimer's disease, whose cognitive ability is more affected compared to MCI, may benefit from EEG-NFB as well, and maybe to a larger extent compared to MCI.


Description:

Cognitive impairment preceding dementia is called mild cognitive impairment (MCI) . Patients with MCI are at high risk for progression to Alzheimer's disease (AD), at a rate of about 12% per year. The amnestic form of MCI is the most common form, and most of the literature on the topic refers to this form of the disorder. Clinical criteria for MCI include:

1. Memory complaint, preferably corroborated by an informant.

2. Objective memory impairment for age and education.

3. Largely intact general cognitive function.

4. Essentially preserved activities of daily living.

5. Not demented

Currently, there is no known cure for MCI or means of stopping or reversing its progression. Patients with Alzheimer's disease were also included in this study , as they are considered by many researchers to be on the same continuum of cognitive decline as patients with MCI which indeed, carry an increased risk for developing Alzheimer's disease.

This study relies the data from a preliminary study conducted in the investigators' lab on patients with MCI, and is meant to further validate our results. In the aforementioned study, participants managed to improve their memory score after 10 training sessions. In addition, a negative correlation between initial memory score and ability to improve was found. It is therefore hypothesized that subjects with AD may benefit as much as subjects with MCI and perhaps even to a larger extent.

Neurofeedback (NFB) is a treatment method based on learning with operant conditioning, in which a feedback (or a reward) is given in proportion with the desired physiological activity in order to improve cognition and/or behavior. This research will focus on using electrical activity measured with EEG as physiological activity to be influenced.

EEG-NFB has been successfully used as a clinical tool for over 40 years treating various disorders from epilepsy, attention deficit hyperactivity disorder (ADHD), stroke to PTSD

Electroencephalography (EEG) equipment is used to measure the electrical activity representing the neuronal activity of different parts of the brain. During the treatment, electrode(s) are placed in predetermined location. Audio and visual rewards are given when the activity is measured to be within the desired frequency range.

Since NFB has been shown to be able to induce changes in the brain plasticity, it appears to be a promising approach to treat MCI. Few studies have shown improvement in cognition of normal elderly with subjective complains of memory decline. To the best of our knowledge, this study is the first to address memory decline in MCI using EEG-based neurofeedback protocol, enhancing the individual upper alpha and peak alpha frequency.

This study will include 30 participants which will be randomly assigned into experimental or sham groups. The former will include training the individual upper alpha, while the latter will include feedback over static electrical activity of a disconnected electrode.

each participant will be trained for a total of 10 sessions over a period of 5 weeks (2 training sessions per week), lasting approx. 1 hour. Cognitive evaluations will take place at baseline, after the training sessions have ended and at 30 days after the last session.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 30
Est. completion date December 2017
Est. primary completion date December 2017
Accepts healthy volunteers No
Gender Both
Age group 50 Years and older
Eligibility Inclusion Criteria:

- Diagnosis of either mild cognitive impairment or mild Alzheimer's disease

- Age > 50

Exclusion Criteria:

- Active neurological disorder

- Any axis 1 type disorder

Study Design

Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Single Blind (Subject), Primary Purpose: Treatment


Intervention

Device:
TruScan Neurofeedback
Neurofeedback and quantitative EEG system

Locations

Country Name City State
Israel Beer-Sheva Mental Health Center Beer-Sheva

Sponsors (1)

Lead Sponsor Collaborator
Beersheva Mental Health Center

Country where clinical trial is conducted

Israel, 

References & Publications (10)

Angelakis E, Stathopoulou S, Frymiare JL, Green DL, Lubar JF, Kounios J. EEG neurofeedback: a brief overview and an example of peak alpha frequency training for cognitive enhancement in the elderly. Clin Neuropsychol. 2007 Jan;21(1):110-29. Review. — View Citation

Association for Applied Psychophysiology and Biofeedback.. Template for developing guidelines for the evaluation of the clinical efficacy of psychophysiological interventions. Appl Psychophysiol Biofeedback. 2002 Dec;27(4):273-81. — View Citation

Becerra J, Fernández T, Roca-Stappung M, Díaz-Comas L, Galán L, Bosch J, Espino M, Moreno AJ, Harmony T. Neurofeedback in healthy elderly human subjects with electroencephalographic risk for cognitive disorder. J Alzheimers Dis. 2012;28(2):357-67. doi: 10.3233/JAD-2011-111055. — View Citation

Jelic V, Johansson SE, Almkvist O, Shigeta M, Julin P, Nordberg A, Winblad B, Wahlund LO. Quantitative electroencephalography in mild cognitive impairment: longitudinal changes and possible prediction of Alzheimer's disease. Neurobiol Aging. 2000 Jul-Aug;21(4):533-40. — View Citation

Jin G, Li K, Hu Y, Qin Y, Wang X, Xiang J, Yang Y, Lu J, Zhong N. Amnestic mild cognitive impairment: functional MR imaging study of response in posterior cingulate cortex and adjacent precuneus during problem-solving tasks. Radiology. 2011 Nov;261(2):525-33. doi: 10.1148/radiol.11102186. — View Citation

Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Brain Res Rev. 1999 Apr;29(2-3):169-95. Review. — View Citation

Panza F, Frisardi V, Capurso C, D'Introno A, Colacicco AM, Chiloiro R, Dellegrazie F, Di Palo A, Capurso A, Solfrizzi V. Effect of donepezil on the continuum of depressive symptoms, mild cognitive impairment, and progression to dementia. J Am Geriatr Soc. 2010 Feb;58(2):389-90. doi: 10.1111/j.1532-5415.2009.02702.x. — View Citation

Petersen RC, Caracciolo B, Brayne C, Gauthier S, Jelic V, Fratiglioni L. Mild cognitive impairment: a concept in evolution. J Intern Med. 2014 Mar;275(3):214-28. doi: 10.1111/joim.12190. — View Citation

Ros T, Munneke MA, Ruge D, Gruzelier JH, Rothwell JC. Endogenous control of waking brain rhythms induces neuroplasticity in humans. Eur J Neurosci. 2010 Feb;31(4):770-8. doi: 10.1111/j.1460-9568.2010.07100.x. — View Citation

Zoefel B, Huster RJ, Herrmann CS. Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance. Neuroimage. 2011 Jan 15;54(2):1427-31. doi: 10.1016/j.neuroimage.2010.08.078. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Memory performance improvement in memory performance 6 weeks No
Secondary General cognitive performance improvement improvement in other cognitive domains 6 weeks No
Secondary qEEG Improvement in upper alpha to lower alpha power ratio and of peak alpha frequency 6 weeks No
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