Deans' stroke musings: Power Spectral Density Analysis of Long-Term Motor Recovery in Patients With Subacute Stroke

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.

Monday, December 24, 2018

Power Spectral Density Analysis of Long-Term Motor Recovery in Patients With Subacute Stroke

My god, the fucking stupidity of stroke recovery prediction research. Survivors don't care about prediction, they want RESULTS, 100% RECOVERY. Talk to a survivor sometime.

Power Spectral Density Analysis of Long-Term Motor Recovery in Patients With Subacute Stroke

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Yu-Sun Min, MD*, Jang Woo Park, PhD*, Kyung Eun Jang, MS, ...

First Published December 19, 2018 Research Article

Abstract

Background. Prognostic measures of long-term motor recovery are important(NO,NO,NO they aren't)in patients with stroke presenting with severe hemiplegia.
Objective. We aimed to investigate whether initial power spectral density (PSD) analysis of resting-state functional magnetic resonance (fMRI) data can provide a sensitive prognostic predictor in patients with subacute stroke with severe hand disability.
Methods. Twelve patients with good recovery, 14 patients with poor recovery, and 12 healthy subjects were included. PSD analysis was performed using resting-state fMRI data. Contralesional and ipsilesional PSD in the motor cortex were measured. Pearson correlation analysis was performed to assess a possible association between the difference in ipsilesional versus contralesional PSD and motor outcomes. A receiver operating characteristic (ROC) curve was constructed to estimate the discriminative value of the difference between the ipsilesional PSD and the contralesional PSD for good versus poor recovery.
Results. There were no differences in PSD between the contralesional and ipsilesional hemispheres in the good recovery group (P = .77). In contrast, there were significant differences in PSD between the 2 hemispheres in the poor recovery group (P = .07). The difference in PSD between the 2 hemispheres had a positive correlation with post Brunnstrom stage scores. ROC analysis showed that the difference in PSD between the 2 hemispheres was sensitive in discriminating good versus poor recovery.
Conclusion. The present study suggests that PSD in the motor cortex may be a sensitive predictor of late-onset motor recovery following stroke.