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.

Saturday, November 29, 2025

The Way You Drive Might Signal Mild Cognitive Impairment

 Your competent? doctor already knew about this earlier research, right? Oh no, you DON'T have a functioning stroke doctor, do you?

And your patient's health will deteriorate after stopping driving.

The Way You Drive Might Signal Mild Cognitive Impairment

Summary: Researchers found that long-term driving behavior can reveal early signs of cognitive decline years before clinical diagnosis. Older adults who later developed impairment showed gradual reductions in trip frequency, night driving, and route variety compared to cognitively healthy peers.

Machine learning models using GPS data predicted cognitive impairment more accurately than age, genetics, or cognitive tests alone. This low-burden monitoring approach could enable earlier interventions while preserving independence and safety.

Key Facts

  • Passive Detection: GPS driving patterns predicted cognitive decline with up to 87% accuracy.
  • Early Behavioral Shifts: Reduced night driving, shorter trips, and less route variation signaled risk.
  • Real-World Monitoring: Daily driving outperformed traditional screening methods alone.

Source: AAN

Using in-vehicle driving data may be a new way to identify people who are at risk of cognitive decline, according to a study published on November 26, 2025, in Neurology.

“Early identification of older drivers who are at risk for accidents is a public health priority, but identifying people who are unsafe is challenging and time-consuming,” said study author Ganesh M. Babulal, PhD, OTD, of Washington University School of Medicine in St. Louis, Missouri.

This shows an older person driving.
Once they added in the factors of age and other demographics, cognitive test scores and whether people had a gene associated with Alzheimer’s, the accuracy improved to 87%. Credit: Neuroscience News

“We found that using a GPS data tracking device, we could more accurately determine who had developed cognitive issues than looking at just factors such as age, cognitive test scores and whether they had a genetic risk factor related to Alzheimer’s disease.”

The study involved 56 people with mild cognitive impairment, which is a precursor to Alzheimer’s disease, and 242 cognitively healthy people with an average age of 75. All participants were driving at least once a week at the start of the study.

Participants agreed to take tests of thinking skills and to have the data tracking device installed on their vehicles. They were then followed for more than three years.

While the driving patterns of the two groups were similar at the start of the study, over time older adults with mild cognitive impairment had greater reductions in how many times they drove each month, how often they drove at night and how much they varied their routine in where they drove.

The researchers used driving factors such as medium and maximum trip distance, how often people went above the speed limit and how much they varied their routine to predict whether a person had developed mild cognitive impairment with 82% accuracy.

Once they added in the factors of age and other demographics, cognitive test scores and whether people had a gene associated with Alzheimer’s, the accuracy improved to 87%. In comparison, using all of those factors without any driving information resulted in 76% accuracy.

“Looking at people’s daily driving behavior is a relatively low-burden, unobtrusive way to monitor people’s cognitive skills and ability to function,” Babulal said.

“This could help identify drivers who are at risk earlier for early intervention, before they have a crash or near miss, which is often what happens now. Of course, we also need to respect people’s autonomy, privacy and informed decision-making and ensure ethical standards are met.”

A limitation of the study is that most participants were highly educated, white people, so the results may not be generalizable to the overall population.

Funding: The study was supported by the National Institutes of Health and the National Institute on Aging.

Key Questions Answered:

Q: Can everyday driving behavior reveal early cognitive decline?

A: Yes. Subtle changes in routine, distance, and night driving predicted cognitive impairment with high accuracy.

Q: How accurate is this method compared to standard tests?

A: Driving data predicted impairment with up to 87% accuracy, outperforming traditional screening alone.

Q: Could this lead to earlier intervention?

A: Yes. Continuous, passive monitoring could identify risk before dangerous driving or major symptoms appear.

Editorial Notes:

  • This article was edited by a Neuroscience News editor.
  • Journal paper reviewed in full.
  • Additional context added by our staff.

About this cognitive decline and neurology research news

Author: Renee Tessman
Source: AAN
Contact: Renee Tessman – AAN
Image: The image is credited to Neuroscience News

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