I. M. Dushyanthi Karunathilake

Neurophysiological Functional Connectivity Changes during Difficult Listening in Older and Younger Adults

This study examines age-related changes in functional connectivity during difficult listening using MEG data and finds increased cortical recruitment in older adults.

Skill Memory Expansion Shapes Micro-Scale Dynamics of Skill Learning

The paper identifies skill memory expansion as a key driver of early skill learning by analyzing neural dynamics during motor skill practice.

Neural recordings of continuous speech reveal robust signatures of prediction in second language learners of English

The paper uses MEG to compare speech prediction in native and second language learners, finding similar neural responses across multiple linguistic levels.

Neural and Behavioral Changes in Older Adults from Auditory-Cognitive Training

This study investigates if auditory-cognitive training improves speech perception in noise for older adults using neural and behavioral measures.

Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing

The paper uses MEG to show a hierarchical progression of speech processing from acoustic to linguistic features, with late responses indicating predictive coding and semantic processing.

Neural Tracking Measures of Speech Intelligibility: Manipulating Intelligibility while Keeping Acoustics Unchanged

This paper investigates how speech intelligibility affects neural responses using MEG, finding that top-down mechanisms improve word processing in prefrontal cortex while auditory responses remain acoustically driven.

Effects of Aging on Cortical Representations of Continuous Speech

This study examines how aging affects cortical processing of continuous speech in noise using MEG, finding age-related changes in timing and strength of speech envelope representations across different cortical stages.

NLGC: Network Localized Granger Causality with Application to MEG Directional Functional Connectivity Analysis

NLGC improves directional connectivity analysis in MEG data by integrating source localization and Granger causality estimation, showing robustness to model mismatch and noise.