Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Wednesday, December 9, 2015

Scientists discover new computerized linguistic approach to detect Alzheimer's disease

I bet your doctor won't be using this to create a baseline for you for your chances of getting dementia post stroke.
Your 33% dementia chance post-stroke from an Australian study?
Then this study came out and seems to have a range from 17-66%.
A 20% chance of dementia in this research.

http://medicalxpress.com/news/2015-12-scientists-computerized-linguistic-approach-alzheimer.html 
Researchers have discovered how to diagnose Alzheimer's disease with more than 82 per cent accuracy by evaluating the interplay between four linguistic factors; and developing automated technology to detect these impairments.
The study, led by Dr. Frank Rudzicz, Scientist, Toronto Rehabilitation Institute (TR), UHN, is published in the December issue of the Journal of Alzheimer's Disease. The method and automated application of the assessment is proven to be more accurate than the current initial assessment tool used by health-care professionals. It can also provide an objective diagnostic rating for dementia.
Based on the analysis, it was determined that four collective dimensions of speech are indicative of dementia: semantic impairment, such as using overly simple words; acoustic impairment, such as speaking more slowly; syntactic impairment, such as using less complex grammar; and information impairment, such as not clearly identifying the main aspects of a picture.
"Previous to our study, language factors were connected to Alzheimer's disease, but often only related to delayed memory or a person's ability to follow instructions," says Dr. Rudzicz, who is also Assistant Professor, Department of Computer Science, University of Toronto, and a Network Investigator with the AGE-WELL Network of Centres of Excellence. "This study characterizes the diversity of language impairments experienced by people with Alzheimer's disease, and our automated detection algorithm takes this into account."
Dr. Rudzicz further adds, "the driving force that makes this analysis so accurate is the large number of measurements, behind the scenes, that are precisely and automatically detected from speech using our software. An advantage of this technology is that it is repeatable—it's not susceptible to the sort of perceptual differences or biases that can occur between humans."
In this study, the researchers examined speech samples (including audio files) from a database of patients diagnosed with possible or probable Alzheimer's disease and additional samples from 97 .
"Every caregiver knows that people with dementia have good days and bad days—we can tell this by talking to them, because speech is a rich source of information on the brain's cognitive function," says Dr. Jed Meltzer, neurorehabilitation scientist, Rotman Research Institute at Baycrest Health Sciences, and co-author of the study. "These methods offer a way to assess speech quantitatively and objectively, so we can use them to test interventions such as novel drugs and brain stimulation."
"The demand on the health-care system to support Alzheimer's disease will continue to grow rapidly," says Dr. Rudzicz. "Our automated approach will provide an opportunity to give people easier, more cost-effective and accurate access to initial dementia screening."
The researchers will now begin testing the automated screening technology with current patients and control subjects to validate the approach. Dr. Rudzicz is also partnering with the University of Toronto and industry to commercialize the technology through a start-up company called WinterLight Labs.
Journal reference: Journal of Alzheimer's Disease search and more info website
Provided by: University Health Network search and more info website
 

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