Xue Zhang
@warmxue
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Neuroimager Postdoc @Stanford_PMHW Full-time dog lover
Joined July 2017
New paper in JAMA Network Open! We found that individuals with high amygdala threat reactivity at baseline showed greater normalization of brain function and improved threat processing under 120mg MDMA. A step toward personalized MDMA therapies!
RCT: Stratifying individuals by baseline negative affect circuit profiles found that 120mg of MDMA improved neural and behavioral responses in those with heightened amygdala reactivity. https://t.co/Aoi1wsHpbf
@warmxue @LMWilliams_PhD @Stanford_PMHW
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I’m very honored to be recognized by the Sammy Kuo Neuroscience Award. Grateful to my mentor @LMWilliams_PhD, collaborators, and lab @Stanford_PMHW for the support that made this possible. Excited to continue advancing precision mental health research.
@karagm2009 @MargolisLabNYU @NYUPainResearch @nyuniversity @NYUDental @NYULH_DeptofMed @Westlake_Uni @Tyfic_Gh @dcardozopinto One Sammy Kuo honorable mention in the postdoc category goes to Xue Zhang @warmxue (@LMWilliams_PhD Lab) for her paper "Adaptive cognitive control circuit changes associated with problem-solving ability and depression symptom outcomes over 24 months." https://t.co/gDqcm7UN8Y
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Proud to co-author this work showing how targeting the cognitive control subtype of depression with a circuit-based, mechanism-specific medicine can personalize treatment and improve outcomes. 🧠🧠🧠
🧠✨ Precision Psychiatry in Action Depression is the leading cause of disability - yet treatments still rely on trial and error. Our new Nature Mental Health paper shows targeting the brain circuit driving symptoms can dramatically improve outcomes. 🔗
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Congratulations to our Human Neural Circuitry team; https://t.co/ocMsFdVbbT publishes today in Science! This was the hardest challenge of my career, but one of the most rewarding, after years of rebuilding– & for myself, expanding my inpatient neuropsychiatry work to the service
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Congratulations Paula on your first first-author paper — so well deserved! 👏 Exciting to see this important work on BIT+ treatment mechanisms of cognitive control circuit in hoarding disorder out in the world! 🧠✨
🧵1/7 New paper out! We explored how cognitive behavioral therapy (BIT+) affects brain activity & inhibitory task performance in hoarding disorder. Thankful for @CRodriguezMDPhD @LMWilliams_PhD @pineurosci @pineurosci @Stanford_PMHW @warmxue mentorship!
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Thanks to all amazing co-authors who made it possible: Laura Hack, Claire Bertrand, @Rachel_Hilton1, Nancy Gray, Leyla Boyar, Jessica Laudie, @theBorisLab, Trisha Suppes, Peter van Roessel, @CRodriguezMDPhD, Karl Deisseroth, Brian Knutson & @LMWilliams_PhD. @Stanford_PMHW
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🌝 Behaviorally, high-reactivity individuals rated threat faces as more likable after MDMA vs placebo. ✨ 120mg MDMA may soften emotional impact of threat-related stimuli in high-reactivity individuals.
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🧠 What happened after MDMA? In the high-reactivity group, 120mg MDMA: Reduced amygdala and sgACC hyperactivity Increased sgACC-amygdala connectivity ➡️ 120mg MDMA normalized negative affect circuit function.
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📊 How did we stratify? We measured amygdala activity to nonconscious threat at baseline before any drug administration using fMRI. Individuals were split into high vs low reactivity groups. ✅ High-reactivity individuals also showed greater implicit threat bias at baseline.
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🧩 Why does this matter? Many with trauma-related symptoms don’t respond to conventional treatments, especially those with high threat reactivity. MDMA-based therapy is a promising alternative, but we need tools to identify who benefits - we focus on brain circuit stratification.
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🚨 Join our lab as a Postdoctoral Scientist in Functional Brain Imaging for Precision Medicine in Depression Position! To learn more about the position find Dr. Leanne Williams (@LMWilliams_PhD) or Dr. Teddy Akiki ( @teddyjakiki) at the @SOBP conference next week to chat.
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🚨 Join our lab as a Postdoctoral Scientist in Functional Brain Imaging for Precision Medicine in Depression Position! To learn more about the position find Dr. Leanne Williams (@LMWilliams_PhD) or Dr. Xue Zhang (@warmxue) at @ACNPorg next week to chat. →🧠To apply, visit:
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Had a great time presenting our psilocybin neuroimaging results at the @StanfordBrain #BrainAndMachines symposium alongside @Paula_MunozR! Grateful for the continued support from amazing mentors @LMWilliams_PhD @CRodriguezMDPhD.
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Huge congratulations Dr. @BHoltGosselin!
Sending a huge congratulations to Dr. @BHoltGosselin on defending her dissertation today (after only 4 years)!! 🥳🥳 She is a true superstar and I'm so proud/excited to see her continue doing amazing things #PhDone
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Great Idea for Poster presentation...!!! Via Caroline O'Donnell/O'Flaherty Lab (Linkedin) #scicomm #scienceoutreach #sciencetalk #scienceposter
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Researchers have found that selecting treatments, such as specific types of cognitive behavioral therapy, tailored to a patient's form of depression significantly increases the chances of success. https://t.co/n8iq6L8o1b
med.stanford.edu
A new study led by Stanford Medicine scientists found that certain changes in neural activity predicted which patients would benefit from a type of cognitive behavioral therapy.
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Scientists have harnessed #fMRI techniques to visualize the cognitive control circuit in patients with #depression and #obesity, and find the circuit can help predict outcomes in a trial of integrated problem-solving therapy. @LMWilliams_PhD @warmxue
https://t.co/ZX2wDAs8au
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12/ I would also like to acknowledge the RAINBOW trial investigators represented by authors on this paper and all participants.
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11/ A heartfelt thanks to co-authors @pineurosci, Patrick Stetz, @agoldpie, Lan Xiao, Nan Lv, @LeonardoTozzi1, Philip Lavori, Mark Snowden, Elizabeth Venditti, Joshua Smyth, Trisha Suppes, @pshrink, Jun Ma, and @LMWilliams_PhD @Stanford_PMHW, who made this work possible.
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10/ Our findings demonstrate a proof of concept that cognitive behavioral interventions can modulate the cognitive control circuit to improve outcomes and highlight that targeting the circuit mechanism of action could largely enhance the prediction of treatment outcomes.
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