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.

Friday, March 6, 2026

Wearable sensors may detect early disability progression in multiple sclerosis

 With ANY BRAINS AT ALL your stroke medical 'professionals' would immediately use this to objectively diagnose gait abnormalities. And then objectively monitor the recovery. But nothing will occur, we have blithering idiots in stroke!

Wearable sensors may detect early disability progression in multiple sclerosis

A longitudinal study of people with multiple sclerosis (MS) found that declines in daytime physical activity detected through wearable accelerometers were associated with increased risk of disability progression and brain atrophy.

The findings, published in Neurology, suggest continuous activity monitoring may serve as a sensitive, noninvasive biomarker for early disease worsening before clinical symptoms become apparent.

“Timely identification of patients at risk for disease progression is essential to reduce long-term disability, but the current tests for measuring MS disability are not designed to detect small changes,” said Kathryn C. Fitzgerald, Johns Hopkins University, Baltimore, Maryland. “Using a relatively inexpensive and accessible device around the wrist may help us identify early changes in the disease.”

The study enrolled 238 adults aged ≥40 years who underwent annual brain MRI scans and wore wrist-based accelerometers 24 hours per day for 2 straight weeks every 3 months, for up to 3 years. The devices captured several activity metrics, including total activity levels, sedentary time, circadian rhythm parameters, and activity during specific two-hour daytime windows.

Participants had been living with MS for an average of 13 years. At the start of the study, they had an average disability level of 3 on the Expanded Disability Status Scale (EDSS).

Over an average follow-up of 2.9 years, 120 participants experienced confirmed disability progression based on the composite EDSS-plus. Overall physical activity declined by an average of about 2% per year.

Importantly, within-person decreases in daytime activity -- particularly between 8:00 AM and 2:00 PM -- were associated with a significantly higher risk of disability progression. A one-standard deviation decrease in morning or midday activity increased the risk of confirmed progression by roughly 20% to 24%.

MRI analyses also showed that reductions in morning activity were linked to greater brain atrophy, including loss of whole-brain, deep Gray matter, and thalamic volume. While individuals with lower average moderate-to-vigorous activity had smaller brain volumes overall, these between-person differences were not associated with disability progression.

“More research is needed to confirm these findings, but it’s exciting to think that using easily accessible devices could help us predict who is at risk of worsening disease and potentially prevent those changes,” said Ellen M. Mowry, Johns Hopkins University. “Detecting small changes could also help us speed up research on new treatments.”

A limitation of the study is that people who did not have MS were not included, which would help researchers understand how activity levels may change as a part of normal aging. Also, the participants were relatively older and more disabled, so the results may not apply to younger people with MS and those with less disability.

Reference: https://www.neurology.org/doi/10.1212/WNL.0000000000214678

SOURCE: American Academy of Neurology

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