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Longitudinal Prognosis of Parkinsons Outcomes using Causal Connectivity
Parkinsons disease (PD) is a movement disorder and the second most common neurodengerative disease but despite its relative abundance, there are no clinically accepted neuroimaging biomarkers to make prognostic predictions or differentiate between the similar atypical neurodegenerative diseases Multiple System Atrophy and Progressive Supranuclear Palsy.
Novel Machine Learning Approaches for Improving the Reproducibility and Reliability of Functional and Effective Connectivity from Functional MRI
We propose a new machine learning based measure of functional connectivity which efficiently captures linear and nonlinear aspects.
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder
Connectivity features identified as important across all 3 atlas granularity levels include FC to the supplementary motor gyrus and language association cortex, regions associated with deficits in social and sensory processing in ASD.
