Prediction of dynamic balance state and recovery following stroke using fMRI graph analysis.

The article discusses the use of fMRI graph analysis to predict dynamic balance state and recovery following a stroke. It highlights the impact of stroke on neural tissue and the resulting sensory-motor disabilities in adults. The study suggests that global features are more informative than local features in predicting recovery, with a reported accuracy of 85% for recovery level and 76% for dynamic balance state. The research aims to contribute to clinical goal setting and mapping the neural substrates of dynamic balance. [Extracted from the article]