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Recent Study Highlights Another Possible Tool For Measuring Brain Plasticity
Zhou Y. et al. Abnormal connectivity in the posterior cingulate and hippocampus
early Alzheimer’s disease and mild cognitive impairment. Alzheimer’s & Dementia 4 (2008) 265–270
In this study fMRI (Functional Magnetic Resonance Imaging) was used to reveal functional connectivity disruptions
in the gray matter, and DTI (Diffusion Tensor Imaging) to quantify fiber tract loss in the
white matter, in areas associated with neuropathologic damage. These neuroimaging findings were then correlated with the
memory assessments used to recognize MCI (Mild Cognitive Impairment) and early AD (Alzheimer's Disease).
The results show that there is disrupted connectivity between the posterior cingulate and hippocampus in early AD; and between the posterior cingulate and the whole brain in MCI. The earlier that clinicians can identify cognitive impairment the better, since this may improve chances for more successful treatment of AD.
Keeping in mind that DTI is still a new technology, these results are also significant to those of us interested in neuroimaging methods that can be used to track and verify Brain Plasticity, which is the scientific basis of Cognitive Training.
Brain Plasticity states that brain circuits can change with experience, training, etc., and although these brain circuits may only change slowly over time, hopefully DTI will be another tool for reflecting positive changes in brain connectivity brought about by cognitive training software.
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OF INTEReST
A Brief Perspective On NeuroImage Inc. Research:
My interest in starting NeuroImage began with questions associated with how intuition and creativity function within the human brain. I realized that this type of research would be very difficult to persue in academic circles because of the lack of funding available for such a venture. That's when I decided to build a scientific research and development company with the specific intention of answering the intuition - creativity - brain connection mysteries.
In the process , I became interested in Artificial Creativity and the production of Creative Machines. This ongoing research and development has been the driving force behind NeuroImage. We are currently working on software that can enhance creative ability by interacting with the end user.
With regards to Artificial Intelligence, I strongly believe that we will produce a Creative Robot based on the brain model of creative function. The possiblities for such a product are as limitless as the mind itself.
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