Implementing Dimensional and Transdiagnostic Mental Health Assessment in Psycho-Oncology: Validation of the HiTOP Brief Report (HiTOP-BR) in Cancer Survivors: https://osf.io/5mfpx
Griffin Murch
@griffinmurch.bsky.social
Clinical Research Assistant | Personalized distress intervention + data science | TEDY Lab @McLeanHospital
In a special issue of Clinical Psychological Science, @jnfrltackett.bsky.social, @ajshackman.bsky.social, and @shirleybwang.bsky.social present seven articles and four commentaries that showcase the power and ongoing challenges of multidisciplinary collaborations in psychological science.
The Uniquely Multidisciplinary Side of Clinical Psychology Is Spotlighted in New Special Issue
An eclectic collection of seven articles and four commentaries showcase the power and ongoing challenges of multidisciplinary collaborations in psychological science.
psychologicalscience.org
Stat Wars Episode V: Assumptions Strike Back. Honestly, incredible paper by @ashleylwatts.bsky.social et al. that definitely didn't send me spiraling about every research question I've ever had.
Excited to share a paper recently accepted at Nature Mental Health! 😄 For decades, we've assumed that covariance among psychopathology informs comorbidity. What if we’ve been wrong?
Behavior Therapy | in press “Relations of Positive and Negative Emotion Reactivity to Depressive Symptoms: A Multimethod Approach” Abitante et al. doi.org/10.1016/j.be...
Among high-risk outpatients with #MDD, hospital-based assertive case management reduced the severity of suicidal thoughts and behaviors more than standard care during 6 months. Findings support a scalable psychosocial suicide prevention approach. ja.ma/4f3kSC9
Frustrated with DSM? Interested in @hitop-system.bsky.social as a potential alternative? Check our latest, led by J Tiego, using a bottom-up approach in a transdiagnostic twin sample evaluating the validity & heritability of the HiTOP model: osf.io/preprints/ps...
I dug into NSDUH data on depression in U.S. teens (12-17) and made the below figure. Rates increased far more sharply for girls than boys, peaking around COVID before modest declines. Shaded region = % with depression receiving mental health treatment. Both depression and unmet need remain high.
Seems GPT-5.2 reaches expert level in peer review: 45 scientists took 469 hours evaluating human & AI reviews on 82 papers. "Surprisingly, current AI reviewers are competitive even with the top-rated reviewers in Nature’s official peer review..." though not without weaknesses, so use AI + humans.
It was great presenting recent work at Harvard Psychiatry Day! Higher sleep reactivity, a trait describing how much sleep is impacted by daily stress, is associated with many psychological and physical dx’s. We quantified this with EMA, finding that it predicts future new internalizing symptoms.
This Deep Dive covers work by @hadarfisher.bsky.social @nigeljaffe.bsky.social @diegopizzagalli.bsky.social @christianwebb.bsky.social exploring whether smartphone passive sensors & LLMs can track activation in adolescents w/ anhedonia receiving behavioral activation therapy youtu.be/K1Lo50QBcQM?...
Can we track therapeutic change outside the clinic?
YouTube video by NPP - Digital Psychiatry and Neuroscience (DPN)
youtu.be
Now out in npj Digital Medicine 🎉 www.nature.com/articles/s41... Our systematic review and meta-analysis examines how well language-based models detect depression from text. We reviewed 123 studies (40,000 + observations) using NLP and machine learning.
Language-based detection of depression with machine learning: systematic review and meta-analysis - npj Digital Medicine
npj Digital Medicine - Language-based detection of depression with machine learning: systematic review and meta-analysis
nature.com
We're hiring! The Emotion and Psychopathology in Context Lab at Harvard invites applications for a full-time RA/lab manager to start in 2026 summer. Ideal for students preparing for graduate study (e.g., clinical psych). Please consider sharing & applying! jobs.smartrecruiters.com/HarvardUnive...
Research Assistant I
Company Description: By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds...
jobs.smartrecruiters.com
John Torous, MD, speaks with Christian A. Webb, PhD, of Harvard Medical School and McLean Hospital, about the limits of population-level prediction and the need for more potent and targeted interventions for #YouthMentalHealth. 🎧 Listen now: ja.ma/3OSGiIw
New paper from our team: Can ML identify which adolescents benefit most from school-based mindfulness? In 8,376 students (MYRIAD trial), models detected statistically significant but clinically negligible differential effects (d ≈ .07–.08). Precision prevention is hard...
Machine learning analyses in the MYRIAD trial found only clinically trivial personalization of school-based mindfulness for adolescent #Depression prevention, underscoring limited differential benefit in universal programs. ja.ma/3OkeH2P
Interesting to see how our lab's recruitment sources have shifted over the last 3 years (see plot). FB/Instagram used to pull 100+ responses/month, now much less productive. Methods like flyers and mailing lists remain steady. Curious if any other labs are seeing this or have found new methods?
Sleep quality and suicide ideation: Mediating role of rumination and depressive symptoms — new paper out, led by former Hunter College undergrad Sindy Kauch, with support from @thegraduatecenter.bsky.social PhD student Lucy Liotta and our co-authors. Link to read here: rdcu.be/e3ip2
Actigraphy-derived measures of sleep phase variability and activity amplitude identified individuals at higher risk of relapse in #Depression, supporting their potential as scalable biomarkers in ongoing monitoring. bit.ly/3OzXlPo
New preprint! We investigate the risk of algorithmic bias (across race/ethnicity, gender, and their intersection) in machine learning models predicting suicide attempts across 3 clinical settings in over 1.2 million patients. osf.io/preprints/ps...
OSF
osf.io
Interested in research on depression in youth? New opening for a full-time research assistant in our lab (webbslab.com) to work on a range of projects focused on the causes & treatment of depression in teens. Come join our growing lab. Please RT and share! Apply⬇️ webbslab.com/job-postings
Adults exposed to sexual assault were at higher risk of developing functional somatic disorders, including single-organ and multiorgan subtypes—over five years, finds this cohort study. ja.ma/4qKzTgd
A Practical Guide to Self-Organising Maps in Psychological Research: https://osf.io/dy6z2
💫 Excited to share new preprint a systematic review & meta-analysis of 123 studies (40k+ ppl) on how well language-based models detect depression from text. www.researchsquare.com/article/rs-8...
Language-Based Detection of Depression with Machine Learning: Systematic Review and Meta- Analysis
Early detection of depression is critical for timely intervention. Natural language processing (NLP) and machine learning (ML) approaches have increasingly been used to automatically detect depression...
researchsquare.com
Younger adolescents and preteens have become an alarming portion of patients admitted for serious suicide attempts, in addition to those dying by suicide. Refinement in screening and treatment is required. 2/2
I am pleased to share our paper showing that daily assessment improves the precision of #self-harm and #suicide prediction beyond the data available at the start of a hospital admission. psycnet.apa.org/record/2026-...
APA PsycNet
psycnet.apa.org
Network-informed interventions for psychopathology Journal Club by René Freichel go.nature.com/43ispIc
No one can deny that we need better ways of approaching science communication, particularly right now. Great read below, no matter your field! "Leveraging the epistemic authority of the 'common man' can then make science seem less elitist and more aligned with community values."
Cultivating New Ways to Trust Science Amid the Rise of Questionable Health Practices: https://osf.io/fhj3y
Investigating Risk and Protective Factors for Suicidal Ideation and Attempts in Bi+ Youth: A Multi-Method Study: https://osf.io/9x4h2
I’ve spent the last 8 years(!) working from the position that HiTOP relies too much on analyses of traditional diagnoses, baking in limitations of the DSM, and that we need to move to symptom-level analyses to fix it It turns out that rebuilding HiTOP from the ground up doesn’t change much 💀 1/
Rebuilding HiTOP from the ground up: Symptom-level analyses and a revised mapping to the DSM: https://osf.io/8tm6c
Paraphrasing @emollick.bsky.social and @dkthomp.bsky.social here: AI is (so far) much better at assisting with job-specific tasks than replacing entire careers. Research and science appear to be no exception.
"The advent of large language models have made this type of content relatively easy to churn out on demand, and the majority of the review articles we receive are little more than annotated bibliographies, with no substantial discussion of open research issues."
Such a cool paper! On the common approach of comparing those w/ and w/o given DSM/ICD diagnoses (e.g., case-control): "[These] models often fail not because of the quality of the computational approach, but because the diagnostic labels they target do a poor job of carving nature at its joints."
Integrating HiTOP and Computational Psychiatry for a New Era of Clinical Science: https://osf.io/sbuvd