New Dynamic Brain Graph Model Enhances Identification of Brain Disorders
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A new dynamic brain graph model incorporating modular network structure improves classification accuracy for autism and depression using resting-state fMRI data.
Study Compares Synolitic Graphs and Traditional Methods for Autism Classification Using Resting-State fMRI
A new study compared synolitic graphs with traditional connectivity methods for classifying autism from resting-state fMRI data, finding conventional approaches more accurate.