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M. Varkanitsa

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Open access Oct 2026

Communication as a Two-Person Neural Process: fNIRS Hyperscanning in Adults with and without Post-Stroke Aphasia

Communication is inherently interactive, yet most neuroimaging studies examine individuals in isolation. Here, we used functional near-infrared spectroscopy (fNIRS) hyperscanning to investigate interbrain synchrony (IBS) during naturalistic communication. In Study 1, 13 healthy familiar dyads completed Joint Singing, J...

Grace Magee, James Colwell, Shannon M. Kelley et al. · 0 citations
Open access Sep 2026

Assessing spoken discourse in aphasia using multimodal artificial intelligence

Discourse analysis can reliably predict real-world communicative success, yet is rarely implemented clinically, due to challenges in manually generating stimulus-specific main concept inventories (MCIs) and scoring patient narratives. We evaluated whether automatically derived macrolinguistic (main concept, sentiment)...

M. J. Marte, S. Lee, S. Wang et al. · 0 citations
Open access Sep 2026

Network flexibility facilitates treatment-induced recovery in post-stroke aphasia

Evidence is provided for the utility of dynamic functional connectivity in studying post-stroke language recovery as a measure that captures interindividual difference in the capacity for recovery, and patients who benefit most from treatment have neural dynamics characterized by a large magnitude, but low frequency, o...

I. Falconer, M. Varkanitsa, A. Billot et al. · 0 citations
Open access Aug 2026

Preserved topography, lateralization, selectivity, and functional connectivity of the language network in older brains

Healthy aging is associated with structural and functional brain changes. However, cognitive abilities vary in how they change with age: executive functions decline, while aspects of linguistic processing remain relatively preserved. This heterogeneity predicts differences among brain networks in whether and how they c...

A. Billot, Niharika Jhingan, M. Varkanitsa et al. · 1 citation

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