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Manuel J. Marte

@mjm.bsky.social
289 followers 441 following 22 posts

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

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Manuel J. Marte @mjm.bsky.social · 28/09/2026
This is the second paper from my dissertation to see the light of day -- thanks to both @swathikiran.bsky.social and those at the Center for Brain Recovery, and Einat Liebenthal and those at the McLean Institute for Technology in Psychiatry, for the unwavering support!
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Manuel J. Marte @mjm.bsky.social · 28/09/2026
🎬 How might multimodal AI make discourse analysis more practical in aphasia? We used a vision-language model to build main concept inventories straight from movie stimuli, then scored participants' narrations using a combination of automated pipelines. Check it out! www.medrxiv.org/content/10.6...
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Manuel J. Marte @mjm.bsky.social · 13/08/2026
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.
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Manuel J. Marte @mjm.bsky.social · 05/08/2026
Check out new work from my lab on the validity of pMRI. More on this soon in clinical populations at the upcoming American Neurological Association meeting!
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Manuel J. Marte @mjm.bsky.social · 24/06/2026
Nice to know the half-naked twins thing is happening elsewhere and it’s not just me (camps all closed for Election Day here!)
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Manuel J. Marte @mjm.bsky.social · 16/06/2026
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!
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Manuel J. Marte @mjm.bsky.social · 18/05/2026
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.
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Manuel J. Marte @mjm.bsky.social · 17/05/2026
That’s awesome. Hope you get the cover framed!
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Manuel J. Marte @mjm.bsky.social · 24/04/2026
Really amazing findings!
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Manuel J. Marte @mjm.bsky.social · 07/11/2025
Indeed, I've been fortunate. On that note, I'm also happy to share that I've started a postdoctoral fellowship with Dr. Argye Hillis at @hopkinsmedicine.bsky.social, where I'll be working on longitudinal/predictive/multimodal modeling and neuromodulation, among other fun things. Stay tuned!
A Johns Hopkins Medicine badge for Manuel Marte
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Manuel J. Marte @mjm.bsky.social · 07/11/2025
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
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Manuel J. Marte @mjm.bsky.social · 14/09/2025
Looks lovely!
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Reposted by Manuel J. Marte
Jamie Reilly 🦜 @reilly-coglab.com · 24/08/2025
Many updates to our psycholinguistic database page. You terrific people have been busy distributing open source data including lexical databases for BSL, French, German sign. LMK if I've missed anything www.reilly-coglab.com/data
reilly-coglab.com
Psycholinguistic Databases, Stimuli, Utilities — Concepts & Cognition Laboratory
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Claudia Peñaloza @claudiapenaloza.bsky.social · 30/06/2025
Our new paper led by @marissarussell.bsky.social examined cross-language and cross-domain generalization effects after semantic anomia treatment in #bilingual #aphasia. Glad to be part of this work with @swathikiran.bsky.social @mjm.bsky.social Check it out! 👇 www.tandfonline.com/doi/full/10....
tandfonline.com
Measurement of cross-language and cross-domain generalization following semantic feature-based anomia treatment in bilingual aphasia
Semantic feature-based treatment (SFT), which engages the semantic network by repeatedly targeting retrieval of conceptual features to improve lexical-semantic access, has shown promise for facilit...
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Reposted by Manuel J. Marte
Claudia Peñaloza @claudiapenaloza.bsky.social · 13/06/2025
Proud of our recent work reporting on the effects of semantic therapy sequentially provided to a trilingual person with aphasia in her three languages (French, Spanish and English) #aphasia #multilingualism #linguistics #slpeeps 1/6 www.sciencedirect.com/science/arti...
sciencedirect.com
Cross-language interaction during sequential anomia treatment in three languages: Evidence from a trilingual person with aphasia
Language rehabilitation research has reported mixed evidence in bilinguals with aphasia suggesting that therapy can benefit the treated language alone…
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Nature Methods @natmethods.nature.com · 06/06/2025
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...
nature.com
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...
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Manuel J. Marte @mjm.bsky.social · 10/04/2025
Today is #BUGivingDay. As a PhD student with @swathikiran.bsky.social, I contribute to research that helps people with aphasia reclaim their lives. Donations support life-changing programs for 2M+ Americans affected. Read more: www.bu.edu/articles/202... Donate here: give.bu.edu/schools/Bost...
bu.edu
Aphasia Robs Millions of Communication. Boston University Is Helping Them Regain Their Voice
Treatments, informed by research, make BU and Sargent College a leader in combating the neurological disorder
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Reposted by Manuel J. Marte
Swathi Kiran@Center for Brain Recovery at BU @swathikiran.bsky.social · 25/03/2025
CBR serves as a global hub for interdisciplinary researchers. Supporting us helps provide resources to bring together clinicians, neuroscientists, and engineers to address the complex problem of treating and preventing brain disorders. Make your gift at bit.ly/3DDYznR
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Claudia Peñaloza @claudiapenaloza.bsky.social · 19/02/2025
I am very happy to announce the publication of our editorial for the special issue: Across countries and cultures: The #assessment of #aphasia in linguistically diverse clinical populations in #Aphasiology Free access! #SLPeeps #Linguistics🧵1/4 www.tandfonline.com/doi/full/10....
tandfonline.com
Across countries and cultures: the assessment of aphasia in linguistically diverse clinical populations
Published in Aphasiology (Ahead of Print, 2025)
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Manuel J. Marte @mjm.bsky.social · 06/01/2025
Yes, in practical terms those patients you describe need dedicated support in both languages as they are far less likely to manifest transfer effects.
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Manuel J. Marte @mjm.bsky.social · 03/01/2025
None in a formal prediction model AFAIK (@nicholcastro.bsky.social or S. Ashaie would know better). My current diss work is looking at something related – not to predict recovery, but examining the contribution of e.g., PHQ, GAD, real-time affect/valence ratings in predicting severity... stay tuned!
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Manuel J. Marte @mjm.bsky.social · 02/01/2025
Absolutely! I found it odd that this hadn't been borne out in a lot of the multilingual aphasia lit. The largest and most recent meta-analysis of tx outcomes showed no association (www.sciencedirect.com/science/arti...) – in our opinion likely bc of variability & problems w/testing instruments
sciencedirect.com
Cross-language generalization of language treatment in multilingual people with post-stroke aphasia: A meta-analysis
Studies on the efficacy of language treatment for multilingual people with post-stroke aphasia and its generalization to untreated languages have prod…
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Manuel J. Marte @mjm.bsky.social · 02/01/2025
Let me know if you have further questions! Here is a link to the author's manuscript I host on my site: mjmarte.github.io/manuscripts/... :)
mjmarte.github.io
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Manuel J. Marte @mjm.bsky.social · 02/01/2025
3. Edu background (more yrs of education = better outcomes for both lgs, though this may be cohort-specific) Some interesting interactions, too – cog skills amplified the benefits of preserved lg abilities, pts with both "good" untreated lg AND cog skills showed the best cross-language outcomes
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Manuel J. Marte @mjm.bsky.social · 02/01/2025
Thanks for your question, Linda. In anticipating tx response, based on these data, I'd focus on: 1. Severity of aphasia in *both* languages (lower severity = better outcomes in both lgs) 2. Baseline cognitive performance (stronger cog skills = better outcomes, particularly for the untreated lg)...
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Claudia Peñaloza @claudiapenaloza.bsky.social · 02/01/2025
Great start of the year with the publication of our work led by @mjm.bsky.social @swathikiran.bsky.social on the prediction of language treatment response in #bilingual #aphasia using machine learning. Check it out! 👇 #SLPeeps #Neurorehabilitation #stroke 🧠💬 www.ahajournals.org/doi/10.1161/...
ahajournals.org
Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence | Stroke
BACKGROUND: Predicting treated language improvement (TLI) and transfer to the untreated language (cross-language generalization, CLG) after speech-language therapy in bilingual individuals with postst...
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Manuel J. Marte @mjm.bsky.social · 02/01/2025
This work provides the first data-driven evidence for how multiple factors shape recovery in bilingual aphasia & may help clinicians better anticipate tx response. Thanks to amazing colleagues & guidance from @swathikiran.bsky.social @utaustin.bsky.social @claudiapenaloza.bsky.social and others! 3/3
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Manuel J. Marte @mjm.bsky.social · 02/01/2025
Using ML, we achieved strong predictive performance (e.g., F1 ≥ 0.77) by considering language severity, cognitive abilities, and demographics. Most exciting: Untreated language abilities & cognitive performance emerged as key predictors of cross-language generalization. 2/3
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Manuel J. Marte @mjm.bsky.social · 02/01/2025
Excited to start 2025 with a paper out in Stroke @ahajournals.bsky.social (ahajournals.org/doi/10.1161/...) We tested the efficacy of candidate predictive models to identify treatment outcomes in bilingual aphasia – critical for personalizing approaches for Spanish-English stroke survivors. 1/3
ahajournals.org
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Swathi Kiran@Center for Brain Recovery at BU @swathikiran.bsky.social · 12/12/2023
Happy Holidays from the Center for Brain Recovery! It’s been a great year of over 10+ papers, tons of conference presentations, 3 NRSA fellowships, R01 grants, 2 ASHfoundation awards and lots and lots of fun science!
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