Deans' stroke musings: EEG-based stroke severity classification using higher-order topological features and graph convolutional networks

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, April 20, 2026

EEG-based stroke severity classification using higher-order topological features and graph convolutional networks

This doesn't get you an objective damage diagnosis, so basically useless.

You need to get an OBJECTIVE DAMAGE DIAGNOSIS(In 3d, mapping all the dead and damaged areas in both gray and white matter); that LEADS DIRECTLY TO EXACT REHAB PROTOCOLS THAT DELIVER 100% recovery! What's so fucking difficult about that? You should have been solving that for decades; but I guess incompetence interfered! You could then see what dendrite branching and axon pathfinding needs are.

Your survivor will become very engaged and motivated when presented with protocols that deliver 100% recovery!

EEG-based stroke severity classification using higher-order topological features and graph convolutional networks

1. Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
2. Department of neurology, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China

Abstract

Introduction:

Electroencephalography (EEG)-based stroke analysis has mainly relied on conventional signal and network descriptors, while higher-order brain network structures remain insufficiently characterized.

Methods:

We used persistent homology to extract cycle-based topological features from EEG functional networks, capturing higher-order organization with reduced sensitivity to threshold selection. These features were integrated with conventional EEG representations and embedded into a graph convolutional network for stroke severity classification.

Results:

The proposed framework achieved 86% accuracy in discriminating mild from moderate stroke. Cycle ratio analysis further revealed that the prefrontal cortex exhibited the most prominent higher-order structures, indicating its prominent involvement in post-stroke brain network organization.

Discussion:

Our results suggest that higher-order topological features can enhance EEG-based stroke severity classification and offer additional insight into post-stroke brain network alterations.