Brain Network Fingerprints Under High Working Memory Load Distinguish Multiple Sclerosis Patients
A graph theory and machine learning analysis of task-based fMRI distinguished multiple sclerosis patients from healthy controls with 95.5 percent ...
A graph theory and machine learning analysis of task-based fMRI distinguished multiple sclerosis patients from healthy controls with 95.5 percent ...
A new anomaly-detection method called OSCAR learns each brain region's typical whole-brain connectivity profile and flags multivariate deviations during tasks ...
A new study shows that re-referencing EEG signals before filtering creates irreversible artificial brain correlations, particularly in deep sleep and ...
A new method called DNetEx identifies which connections change between two complex networks while mathematically controlling false discoveries, and it ...
The brain's white matter has long been described through profiles: numbers that rise and fall along the length of each ...
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© 2025 Scienmag - Science Magazine