Manuel J. Marte

@mjm.bsky.social

Postdoc, CCC-SLP @ Johns Hopkins | https://mjmarte.github.io/

Hey, it's me! This was a great introduction to thinking of neurological disease states through dynamical systems, and encouragement to thread the needle between explicable solutions for our patients and our bleeding-edge, increasingly sci-fi-sounding science.

ASNR@asnrehab.bsky.social · 2w ago

Ready for another book for your reading list? In Elusive Cures, author Dr. Nicole Rust describes advances in our understanding of the brain, unanswered questions, and new frontiers for research on brain disorders. Thanks to Dr. Manuel Marte for the recommendation! press.princeton.edu/books/hardco...

It was a privilege to work on this trial and it’s difficult to put into words how influential it has been on my thinking as a clinician-scientist. Please see our new work demonstrating the use of advanced computing methods to test decades-old hypotheses informing multilingual clinical practice!

Claudia Peñaloza@claudiapenaloza.bsky.social · 3mo ago

Our work on #computationalmodeling for #predicting the #optimal #language to treat anomia in #bilingual people with #aphasia is out, free access. Check it out! #Linguistics #SLPeeps #Neurorehabilitation #Aphasia www.nature.com/articles/s41...

Excited to share the first step toward a new line of work I'm developing here at Hopkins, pushing toward usable early prognosis in post-stroke aphasia: acute-phase ML models predicting 12-month recovery across both standardized measures *and* discourse outcomes!

Six-panel anatomical visualization of the top-ranked imaging features for each outcome, with feature shading scaled by mean absolute SHAP value. Panels A–C show features for aphasia resolution: left-hemisphere cortical parcels (A), left-hemisphere white-matter tracts (B), and structural connectivity pairs (C). Panels D–F show the same three feature classes for discourse content normalization.
medRxivpreprint@medrxivpreprint.bsky.social · 3mo ago

Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery https://www.medrxiv.org/content/10.64898/2026.05.13.26353123v1

Happy to share that I recently defended my dissertation! Big thanks to my committee, my INCREDIBLE colleagues, and @swathikiran.bsky.social especially – for the many years of guidance, and for creating a rich, rigorous, collaborative intellectual environment at the Center for Brain Recovery.

Yanmei Tie, Tyler K. Perrachione, Swathi Kiran, Manuel Marte, and Einat Liebenthal stand next to one anotherA title slide for a dissertation defense: A Multimodal and Naturalistic Approach to Assessment in Aphasia

An Analysis of 200 pairwise statistics for functional brain connectivity in tasks such as hub mapping, distance relationships, structure-function coupling and behavior prediction highlights their effectiveness for neurophysiological applications. www.nature.com/articles/s41...

Benchmarking methods for mapping functional connectivity in the brain - Nature Methods

In this Analysis, Liu et al. benchmark more than 200 pairwise statistics for functional brain connectivity in tasks such as hub mapping, distance relationships, structure–function coupling and behavio...

nature.com