Manuel J. Marte
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mjm.bsky.social
Manuel J. Marte
@mjm.bsky.social
Postdoc, CCC-SLP @ Johns Hopkins | https://mjmarte.github.io/
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!
November 7, 2025 at 5:37 PM
Looks lovely!
September 14, 2025 at 9:20 PM
Yes, in practical terms those patients you describe need dedicated support in both languages as they are far less likely to manifest transfer effects.
January 6, 2025 at 8:04 PM
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!
January 3, 2025 at 8:29 PM
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
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…
www.sciencedirect.com
January 2, 2025 at 10:15 PM
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
January 2, 2025 at 10:10 PM
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
January 2, 2025 at 10:09 PM
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)...
January 2, 2025 at 10:06 PM
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
January 2, 2025 at 9:34 PM
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
January 2, 2025 at 9:32 PM