Sunny X. Tang, M.D.
@stanglab.bsky.social
130 followers 58 following 33 posts
Psychiatrist | Scientist | Academic Research Mom | Schizophrenia | Psychosis | Computational Psychiatry | Natural Language Processing | Views my own
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stanglab.bsky.social
I'm saddened this morning by the death of Jane Goodall. Growing up as a little girl in the 90's, she was one of two women scientists (+Marie Curie) who had a real presence as role models. I feel very grateful that now, there are so many more.
www.nytimes.com/2025/10/01/s...
‘There Will Always Only Be One Jane Goodall’
www.nytimes.com
stanglab.bsky.social
Congrats to Aarush Mehta from our lab on his first first-author publication! He started working with us as a high school student and is now a senior at
@stonybrooku.bsky.social. Thanks to coauthors:
Amir Nikzad, Yan Cong, Sunghye Cho, Sameer Pradhan
4/4
stanglab.bsky.social
A negative relationship between Happiness and Thought Disturbance and a positive relationship between Anger and Hostile Suspiciousness were replicated across samples... 3/4
stanglab.bsky.social
A negative relationship between Dominance and Anxious Depression symptoms and a positive relationship between Surprise and Hostile Suspiciousness were replicated across timepoints.... 2/4
stanglab.bsky.social
Glad to share our new article out in
Cognitive Neuropsychiatry! We assessed relationships between symptoms and sentiment in speech during picture descriptions from people with psychosis across 2 cohorts and 2 timepoints... 1/4

doi.org/10.1080/1354...
stanglab.bsky.social
Super stoked to share that we received the #NOA for our R01!!! We will be using speech and language markers to develop personalized, adaptive markers for #psychosis. Very grateful for the support from the NIMH.
stanglab.bsky.social
🔍 By analyzing both linguistic and paralinguistic speech characteristics, our approach demonstrated robust disorder-specific learning across multiple groups, including those with sub-clinical psychotic experiences & major depressive disorder. 📊 #PrecisionMedicine 3/3
stanglab.bsky.social
The machine learning model achieved 86% accuracy distinguishing conditions on the schizophrenia-bipolar spectrum using speech features. 2/3
stanglab.bsky.social
Check it out! Our work on using automated speech and language features for longitudinal modeling of #psychosis symptoms is featured in this podcast-style summary from
@dpn-journal.bsky.social !
dpn-journal.bsky.social
Could speech patterns reveal the 'vital signs' of psychosis?

The latest DPN Deep Dive summarizes recent work by @stanglab.bsky.social et al showing that automated speech analysis generated objective features predictive of thought disorder, negative, & positive symptoms.

youtu.be/TR3s-CJ-cqE?...
What if speech patterns could reveal the 'vital signs' of psychosis?
YouTube video by NPP - Digital Psychiatry and Neuroscience (DPN)
youtu.be
stanglab.bsky.social
Correcting the tag here ;) @dpn-journal.bsky.social. Thanks for publishing our work! What a great venue for research on digital psychiatry and neuroscience.
stanglab.bsky.social
Many thanks to wonderful collaborators as always!! 6/6

@mspilka.bsky.social, Majnu John, @michaelbirnbaum.bsky.social, Ema Saito, @sarahberretta.bsky.social, @leilyb.bsky.social, ‪@myl1947.bsky.social‬, Anil Malhotra, Bill Simpson, John Kane @northwellhealth.bsky.social
stanglab.bsky.social
Thought Disorder was particularly related to features describing subordinated constructions, efficient identification of picture elements, and decreased semantic distance between sentences. Negative Symptoms was related to features describing decreased speech complexity. 5/6
stanglab.bsky.social
Examining one feature at-a-time, we can identify quite a few which predict each of the psychosis symptoms domains at a significance level that survives corrections for multiple comparisons. These relationships were largely robust to interactions with gender andrace. 4/6
stanglab.bsky.social
A single component score representing the 357 speech and language features significantly predicted psychosis symptoms over time for all three domains. 3/6
stanglab.bsky.social
We collected 160 sessions for 66 participants x 4 timepoints: 1) around the time of admission, 2) around discharge, 3) and 4) at 3 & 6 month follow up. The final feature set included 357 task-specific features representing a range of speech and language analyses. 2/6
stanglab.bsky.social
Very excited to share our new paper available open-access via @dpn_journal! We evaluated objected features derived from automated speech and language processing as markers of #psychosis symptoms over time. 1/6

rdcu.be/erkV0
Automated speech and language markers of longitudinal changes in psychosis symptoms
NPP—Digital Psychiatry and Neuroscience - Automated speech and language markers of longitudinal changes in psychosis symptoms
rdcu.be
stanglab.bsky.social
Really proud for our work at the Tang Lab to be featured on this month's issue of Science and Discovery! @northwellhealth.bsky.social
www.northwell.edu/news/insight...
www.northwell.edu
stanglab.bsky.social
Hope you can join for what will be a fantastic talk!
yoeyho.bsky.social
💡Don't miss the last #DISCOURSE seminar of the season!
🗓️March 7, 9-10 AM ET.
🗣️Two researchers will present their recent findings — details in the comments.

Link: zoom.us/j/6317863737

#discourseconsortium #psychosis
stanglab.bsky.social
Hope to see everyone at our seminar next week! Note the updated zoom link this time.
yoeyho.bsky.social
💡Don't miss the first #DISCOURSE seminar of the season!
🗓️Feb 18, 7-8 AM ET.
🗣️The Desipher Lab will present on speech in clinical high-risk individuals in the ENTER study.

Link: mcgill.zoom.us/my/lenapl

#discourseconsortium #psychosis
Reposted by Sunny X. Tang, M.D.
mspilka.bsky.social
I’m excited to share this paper now published in Psychological Medicine and reporting work from my postdoc with Dr. Greg Strauss at the University of Georgia, with a focus on improving our understanding of reward processing difficulties and negative symptoms.
www.cambridge.org/core/journal...
A generalized reward processing deficit pathway to negative symptoms across diagnostic boundaries | Psychological Medicine | Cambridge Core
A generalized reward processing deficit pathway to negative symptoms across diagnostic boundaries - Volume 55
www.cambridge.org
stanglab.bsky.social
Really appreciate this article from NPR highlighting the importance of the NIH in keeping Americans healthy and fighting our common enemies like mental illness, cancer and heart disease. The current disruptions are hurting all of us.
www.npr.org/sections/sho...
A sense of foreboding hangs over the National Institutes of Health
There's widespread confusion and fear among scientists and doctors on the sprawling National Institutes of Health campus and at institutions dependent on the agency's funding.
www.npr.org
stanglab.bsky.social
Reminder! Submit your abstracts for poster and oral presentations for our DISCOURSE Satellite Meeting by 2/14/25! forms.gle/nW5K9MGtBkqQ...