Kamalini G. Ranasinghe

This study uses mathematical models to analyze amyloid and tau interactions in Alzheimer's Disease, finding that a one-way amyloid-to-tau aggregation model best explains their spatiotemporal progression.

This study compares resting state functional connectivity in children with ASD, SPD, and TDC using MEG, finding distinct beta-band connectivity patterns associated with sensory processing abilities.

This study uses event-based sequencing models to analyze neural oscillation trajectories in Alzheimer's disease stages, finding frequency-specific synchrony changes linked to early neurodegeneration and cognitive decline.

This study identifies dynamic functional connectivity features in MEG data that distinguish Alzheimer's disease from healthy controls, showing higher spatial complexity and lower temporal complexity in AD patients.

This study uses high-density electrode arrays to analyze neural activity in human brain organoids, revealing functional connectivity patterns and responses to benzodiazepine treatment.

This study examines speech motor control in nfvPPA patients using structure-function imaging, finding reduced alpha-band activity and increased beta-band activity in specific brain regions, unrelated to atrophy patterns.

The paper examines associations between neuronal subpopulation parameters and tau/A{beta} in AD patients using MEG and PET data.

This study identifies abnormal neural oscillations in specific brain regions during different stages of phonation in laryngeal dystonia patients, revealing impaired motor preparation and auditory feedback processing.

This paper investigates brain dynamics during irregular word reading in svPPA patients, showing increased reliance on the dorsal route when the ventral route is damaged.