
https://xitter.cf/t.co/WRcJETePiK @uarizona clinical psychology, intervention science. Precision Mental Health/Digital Therapy. Dad+Husband. He/him. Personalized Treatment Lab
Tucson, USA
Joined January 2014
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Zachary Cohen retweeted
Among adults with severe mental illness, integrating #PhysicalActivity into psychiatric care improves psychiatric symptoms, cognitive health, and cardiometabolic outcomes, supporting longer life expectancy. ja.ma/4wGEALN
Zachary Cohen retweeted
And Discussant on:
3: Improving Multimodal Measurement Via Better Self-Report, Cognitive, and Intensive Longitudinal Data
👥 @DepressionLab, Claire Gillan, Dawson Haddox & @EikoFried
📍 Friday 29 May, 11am-12:20pm, Room 125, P1
Hope to see you there!
Zachary Cohen retweeted
We are deeply saddened to learn of the passing of Dr. Edna Foa, a true giant in the field of traumatic stress.
Dr. Foa’s work transformed the understanding and treatment of trauma-related disorders, leaving an impact on clinicians, researchers, and individuals worldwide.
Zachary Cohen retweeted
🚨MAJOR NEW PAPER 🚨 just out in @JAMAPsych : Psychedelic Therapy vs Antidepressants for the Treatment of Depression Under Equal Unblinding Conditions (tinyurl.com/yu2rbtaf).
I am very proud of this one, was a lot of work for me - both co-first and last author! Eternal gratitude to co-first @QuantPsychiatry and twitterless Hannah Barnett!
The premise is that it is biased to compare open-label trials (=where patients know what treatment they are getting) to blind trials (=where patients do NOT know what they are getting). Open-label trials would gain an unfair advantage by higher placebo response. Even formally blinded psychedelic trials are practically open-label as its obvious to distinguish placebo from 25mg of #psilocybin. In contrast, traditional antidepressants (SSRIs/SNRIs) trials are are close to be truly blind (Lin 2022). Given the bias of open-label vs. blinded comparison, we compared the efficacy of psychedelic-therapy (which is practically always open-label) vs. open-label antidepressants for the treatment of major depression.
We tested 3 prior hypothesis:
- There will be a significant difference between psychedelic-therapy vs. open-label antidepressants, favoring psychedelic-therapy.
- There will be a significant difference between blinded and open-label antidepressants trials, favoring open-label.
- There will NOT be a significant difference between blinded and open-label psychedelic-therapy, as practically they are always open-label.
In contrast with our prior hypothesis, we did not find psychedelic-therapy to be more effective than open-label antidepressants (H1). Not only was the difference not clinically meaningful, but practically there was no difference at all. This finding means that antidepressants administered knowingly to patients, which is the case in real-life medical practice, is as effective as psychedelic-therapy. This result was robust across variations in study selection, including when we removed psychedelic-therapy trials on treatment-resistant depression.
We also assessed the impact of blinding in both psychedelic-therapy and antidepressants trials. We found that for antidepressants (H2), but not for psychedelic-therapy (H3), open label is associated with better outcomes than blinded treatment. However, even in the case of antidepressants, the difference was practically small (~1.3 HAMD units).
How come hypothesis 1 failed, i.e. that psychedelic-therapy is no ore effective than open-label antidepressants, given that antidepressants trials are famous for small drug-placebo difference (~2.4 HAMD units), while psychedelic-therapy trials reported large effects (~7.3)? The key factor is that in psychedelic trials the placebo response is about 50% relative to antidepressants, ~ 4 vs 8 HAMD units (Hsu 2024, Hieronymus 2025). This suppressed placebo response leads to an inflated between-arm difference, as the treatment arm is measured against a lower floor.
The suppressed placebo response in psychedelic-therapy trials is likely attributable to the ‘know-cebo’ effect, i.e. the disappointment when patients realize they are in the control group. In psychedelic-therapy trials, this placebo suppression accounts for 4.0 / 7.3 ~ 55% of the specific treatment effect. In other words, ~55% of psychedelic-therapy’s effect is not explained by patient improvement after the treatment, but rather by the lack of improvement in the placebo group.
In summary, we found that for the treatment of depression, psychedelic-therapy is no more effective than open-label SSRIs/SNRIs. Our results for psychedelics are twofold: psychedelic-therapy demonstrated a robust and large therapeutic effects (~12 HAMD units), which justifies optimism. On the other hand, psychedelic-therapy’s lack of superiority compared to open-label SSRIs/SNRIs highlights the influence of blinding integrity and argues against overly optimistic narrative's about psychedelic-therapy's potential.
Zachary Cohen retweeted
What are the new and emerging treatments for anxiety disorders?
We summarize these in a new review:
bmj.com/content/392/bmj-2024…
Zachary Cohen retweeted
We know that chronic back pain is driven by brain amplification of sensory input -- but we haven't known how far this amplification extends
In new work just published in Annals of Neurology, we show that people with chronic back pain also have substantial (d ~ 1.0) amplification of aversive auditory processing, and that this is
- driven by hyper-responsivitiy in auditory cortex and insula
- has overlapping mechanisms with fibromyalgia
- partially reversible with treatment (pain reprocessing therapy), including stronger mPFC responses to aversive sounds
onlinelibrary.wiley.com/doi/…
Is this multi-sensory sensitization cause of consequence of chronic pain?
collaboration with @torwager @AlinaPanzel @C_Buchel
Zachary Cohen retweeted
Our latest Deep Dive covers work by @hadarfisher @JustinBakerMD @DiegoPizzagalli @NigelJaffe @ChrisWebbPhD exploring whether smartphone passive sensors & LLMs can track daily activation in adolescents w/ anhedonia receiving behavioral activation therapy
youtu.be/K1Lo50QBcQM?si=2jbL…
Zachary Cohen retweeted
The cuts aren’t random. They’re targeting on-ramps.
When we zoom into 2026 funding decline by mechanism, the deepest cuts land on new ideas entering the system:
▪️Small R (R03 / R15) ↓81%
▪️R21 exploratory grants ↓73%
▪️Other high-variance mechanisms ↓70%+
If you want to stall science, this is exactly how.
Meanwhile, among other news:
▪️R01s ↓47%
▪️R37 MERIT ↓40%
In other words, the earliest-stage bets are being starved first.
When the on-ramps close, the damage shows up later:
↓ pilot data
↓ resubmissions that mature into R01s
↓ new labs surviving their early years
↓ shared cores that support entire departments
↓ discoveries that ever reach trials
So much remains unanswered.
This week we’re digging deeper:
-which disease areas rely most on these mechanisms
-which institutions are most exposed
-where the first downstream breaks appear (trials, screening, imaging, prevention, survivorship)
If you run a lab, grants office, or cancer center, tell us what cut you want.
Source: NIH RePORTER via @Jori_health
Zachary Cohen retweeted
NIH research grant funding rates plummeted in 2025 | Science | AAAS science.org/content/article/…
Zachary Cohen retweeted
Did not expect a question that starts out 'Do you think before you speak?' to go so well. A+ question from Charlotte Harpur A++ response from Eileen Gu.
Replying to @DepressionLab @JAMAPsych
This is such a "lightbulb" moment for the field. It’s wild how much we rely on the PHQ-9 while overlooking how participants actually read the prompt. This kind of work on measurement validity is so necessary—huge congrats on the JAMA Psychiatry pub!
Zachary Cohen retweeted
After 5 yrs of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate.
If you share a single thing of my lab this year, please make it this competition.
eiko-fried.com/warn-d-machin…
Zachary Cohen retweeted
.@AndersonCooper's willingness to be open about his own struggles, and deeply sensitive to those of others whose stories he shares, is an extraordinary gift to all who are faced with heartache and loss.
You are not alone.
Zachary Cohen retweeted
Survey study identifies that most patients with depression interpret the Patient Health Questionnaire instructions incorrectly, raising questions about its validity for clinical and research use. ja.ma/48UOobl
Zachary Cohen retweeted
New preprint alert! (1/5)🌟
I’m thrilled to share the preprint of my first first-authored PhD paper! We test whether shared reinforcement functions help explain why adolescents who engage in one self-destructive behavior often engage in others.
Summary⬇
osf.io/preprints/psyarxiv/qw…
Zachary Cohen retweeted
I have made some major changes given the extremely chaotic NIH funding situation in the last year.
1. I downsized the lab by 35% in the last 12 months. We had a 2.5-2.8M USD/year payroll 2 years ago, which included 900K/y in faculty payroll across all grants. In the US, PhD faculty in the med school are usually paid up to 80-90% from grants, and in the recent past several had zero start-up, making it harder for them to stay solvent, so we'd put 80-90% of the asst profs' salary spread across several grants. We also have to pay 300K USD a year to rent the space our lab occupies, and I like it but we have to bring in the rent and utilities as a direct cost. These are very hard constraints as if we run out of money in any one year, we are evicted and the lab closes. So we made some hard decisions.
2. When I say downsized, several of our postdocs who were/are extremely brilliant, productive, creative people got faculty jobs and instead of finding a new postdoc I just did not hire a new person. We have an incredible consortium manager, who many of you know. And I have only one graduate student, she is an exceptional mathematician and computer scientist. So the lab was able to downsize by about 1/3 of its size per 2 years by literally not 'replacing' people and still able to do a lot of the work with several people covering and multitasking on a large number of projects.
3. We would often submit a grant with 60-90K USD/year for my lab, with me as contact PI, and 10-12 subawards to support a very complex consortium structure (think of federated deep learning, where you would have to do this). This meant we had been submitting 14 NIH R01s (or R01-equivalents) per year with a success rate of 15-20% after 19 months and 2-5 submissions. With the new rule that a PI can submit only 6 NIH grants per calendar year, we cannot submit 14 R01s per year which means I cannot submit a grant with only 90k/year for my lab as we would go bankrupt given the expected payout of 15% or less after 19 months. Conversely, we are working quite a bit harder before submitting a grant.
4. We had grants in the last year scored at 2nd percentile, 8th percentile, 13th percentile, 21 impact score, all not funded. I am not sure I want to re-submit a grant that scored 2nd percentile and was not funded.
5. We are trying to develop more technically innovative methods, which involves quite a lot more reading and studying. This has not been bad.
6. Some grants involved an insane amount of reporting, I mean just literally ridiculous with meetings all the time that did not seem to be of any use to anyone. I ended my participation in 3 of the grants and contracts that had the most meetings, and things got massively better as it freed up ~10 hours a week. I think people should be mindful of how many meetings they have, because it can be the last straw for many collaborations, unless people have a lot of time on their hands and enjoy the social aspect of it.
7. I have studied how very famous PIs and new and successful PIs run their labs, and even just kind people who are doing well and seem to be fair to everyone. For one of them, it was shocking how little grant writing they do, but I think it was made easier as the faculty salaries are paid by the university in Europe and they seemed to pick projects very carefully and have a good sense of what projects would be valuable. They even seemed to be enjoying their job and studying things they were excited about.
Zachary Cohen retweeted
Thank you @richsandomir for the touching obituary of @NolanRyWilliams in today's @nytimes.
I am grateful we had Nolan for as long as we did.
Nolan Williams, Who Stimulated the Brain to Treat Depression, Dies at 43 nytimes.com/2025/11/11/healt…
Zachary Cohen retweeted
Thrilled to share a new paper in @JAMAPsych on path asymmetry in complex dynamic systems of psychopathology! jamanetwork.com/journals/jam…
With amazing collaborators Tessa Blanken, Han van der Maas, & @BorsboomDenny 🥳

































