Manuel J. Marte

Looks lovely!

Psycholinguistic Databases, Stimuli, Utilities — Concepts & Cognition Laboratory

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

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...

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....

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…

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...

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...

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...

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

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...

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 https://bit.ly/3DDYznR

Across countries and cultures: the assessment of aphasia in linguistically diverse clinical populations Published in Aphasiology (Ahead of Print, 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....

Yes, in practical terms those patients you describe need dedicated support in both languages as they are far less likely to manifest transfer effects.

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!

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…

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

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/... :)

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

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)...

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...

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/...

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

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

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

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!