Center for Brain Recovery at Boston University. Posts by Swathi Kiran. #Rehabilitation #aphasia, #neuroplasticity #brain

Boston, MA
Joined March 2013
ICYMI- My thoughts on #precisionmedicine #precision #rehabilitation for #aphasia Advances in predicting language recovery after stroke: Precision rehab -... youtu.be/Fy0nGRv6J2g via @YouTube
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Panelists: Amir Meghdadi, Advanced Brain Monitoring Michael Kahana, Nia Therapeutics Vijaya Kolachalama, Cognimark Matt Adams, BrainScope Martin Schrimpf, Dandelion Science
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The third symposium at the 2026 Neuroscience of the Everyday World (N.E.W.) Conference will explore advanced methods for brain health, with a focus on scaling, validating, and personalizing emerging technologies and analytical approaches.
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This session will feature research leveraging digital health technologies, wearable devices, and data-driven approaches to better understand brain health and behavior in real-world settings, with the goal of advancing more precise and personalized assessment and care.
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Join us Monday, October 26 from 4-5pm ET for a talk by Andreas Charidimou, an Assistant Professor of Neurology at Boston University @a_charidimou Title: Detecting Cerebral Amyloid Angiopathy Beyond Hemorrhage: What MRI Can—and Cannot—Tell Us Register: bostonu.zoom.us/meeting/regi…
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The 2nd symposium at the 2026 N.E.W. Conference will highlight emerging approaches for studying cognition in real-world settings, leveraging advances in both neuroscience and artificial intelligence. Speakers: Samuel Nastase, USC Chris Baldassano, Columbia Martin Schrimpf, EPFL
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The 1st symposium at the 2026 N.E.W. Conference will examine how digital phenotyping is transforming our understanding of health and aging across the lifespan. #NEWconf2026 Featured Speakers: Nicole Spartano, BU Katherine A. Gifford, BU Honghuang Lin, UMass Chan Medical School
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New research💡from CBR published in Brain Communications "Network flexibility facilitates treatment-induced recovery in post-stroke aphasia" Researchers: Isaac Falconer, Maria Varkanitsa, Anne Billot, and Swathi Kiran Read the full article: doi.org/10.1093/braincomms/f…
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– In sum, we link baseline dFC temporal dynamics to a mechanistic account of recovery capacity framed as flexibility + stability.
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The empirical result that higher TV and higher CS both predict larger naming gains is interpreted as neural dynamics with large-magnitude but low-frequency fluctuations that may support functional network reorganization underlying recovery
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