Dementia Clinical Trial
Official title:
Brain-computer Interface System for Training Memory and Attention in Elderly With Subjective Memory Deficits and Age Related Cognitive Decline (ARCD)
The primary objective is to examine the efficacy of 8-weeks of a locally developed brain-computer interface based system intervention for improving attention and memory in healthy elderly and those with age related cognitive decline. We hypothesize that elderly who have completed the training program will have significant improvement in their attention and memory compared to the controls, based on the Repeatable Battery for the Assessment of Neuropsychological Status.
The world population has reached an unprecedented seven billion, with global population
ageing increasing at a greater rate than total population growth. Between 1998 and 2030, the
proportion of persons aged 65 years and over in Singapore will grow by about 3% annually
compared to 1.0-1.3% in some developed nations. Specific cognitive deficits like inattention,
dysexecutive functioning, and processing speed decline may affect a number of quality of life
domains. Concurrent with these statistics, the maintenance of the highest possible level of
cognitive functioning for as long as possible has become an important goal of aging
successfully.
To contribute to the realization of this goal we propose to conduct a wait-list control trial
to examine the efficacy of this brain-computer interface based intervention for cognitive
enhancement in elderly. This intervention uses a technology which analyzes brain waves
captured through an electroencephalogram to determine the participants' state of attention.
The training program developed using this patented technology may be useful for individuals
who experience difficulty with memory and sustaining their attention.
This intervention may represent one alternative means to enhance cognitive abilities and to
slow down cognitive decline in the normal elderly. If demonstrated to be efficacious, this
therapy may even help to delay the onset of dementia.
In addition, the rate of cognitive decline during the course of AD is possibly influenced by
not only environmental but also genetic factors. To date, several genes, such as
apolipoprotein E (APOE) and TOMM40 (translocase of outer mitochondrial membrane 40
homologue), have been identified to be probable genetic risk markers for AD. These genes have
been shown to play a role in disease onset as well as rates of cognitive decline. For
instance, studies have shown APOEε4 allele carriers to be associated with earlier and faster
cognitive decline.
Therefore, we propose to analyse if there is any relationship between the genetic profiles of
our participants and their performance in the training program.
There are no published studies that look at how cognitive training may be associated with
changes in the metabolism and functional connectivity of the brain. Therefore, our study also
aims to carry out functional MRI of the brain before and after training to gain a finer
understanding of the changes associated with our BCI-based cognitive training.
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