Martin P. Paulus

The 73rd Nebraska Symposium on Motivation explores the mechanistic intersections of interoception, conditioning, and addictive behaviors. Consider submitting posters to join us in modeling the neural substrates of internal state processing.
motivation.unl.edu

Perceptual Dysregulation in Psychiatric Nosology has been released! I'm pleased to see that the cover is pretty close to my initial mockup. You can find the entire collection here: link.springer.com/book/10.1007...

New Discoveries in the Brain Sciences of Fear and Anxiety - From Basic to Clinical Neuroscience This book focuses on the latest discoveries in the brain sciences of fear and anxiety - from basic to clinical neuroscience.

Edited by Jennifer Urbano Blackford and Mohammed R. Milad
— a must-read for anyone studying or treating anxiety.
#Neuroscience #AnxietyResearch #FearCircuits #CBT #TMS #BehavioralScience
link.springer.com/book/10.1007...

The latest CTBN dives deep into the neural systems of fear and anxiety — from mitochondria to machine learning.
• Animal & human circuit models
• Risk, sex, and developmental factors
• Cutting-edge treatments (CBT, TMS, neuromodulation)
• Co-occurring disorders (PTSD, autism, schizophrenia)

Amygdala–liver signalling orchestrates glycaemic responses to stress Nature - Studies in mice show that acute stress activates hyperglycaemia via activation of a medial amygdala–ventral hypothalamic circuit that controls glucose metabolic responses in the...

Excited to share that my PhD work has been published! www.nature.com/articles/s41... 🧠🧪

Corporation for Public Broadcasting Will Shut Down

www.nytimes.com/2025/08/01/b...

Difficult-to-Treat Anxiety: A Neurocomputational Framework Anxiety disorders, affecting approximately 1 in 9 individuals globally, impose significant socioeconomic and health burdens, with many individuals fai…

Now available at BP CNNI, my piece with Murray about Difficult to Treat Anxiety: www.sciencedirect.com/science/arti...

Great work by Hamed to pull this together.

And you can listen to the generated podcast here: notebooklm.google.com/notebook/94f... #DTA #MentalHealthResearch #BrainScience

A labor of love with my friend & long-time collaborator Murray B. Stein. Addressing Difficult-to-Treat Anxiety: A review integrating computational psychiatry, systems neuroscience, & novel interventions. Mechanistic insights for precision psychiatry. www.biologicalpsychiatrycnni.org/article/S245...

The reality? Complex interplay of genetics & environment leads to major challenges & potential for misinterpretation. 🚨 10 crucial recommendations to fix this: www.biologicalpsychiatrycnni.org/article/S245... #Science #Bias #Data

Great work by Wes Thompson, Evan White and Chun Chieh Fan at LIBR as well as others: The promise of population neuroscience: understanding brains across diverse groups.

I think you will find that these podcasts are engaging and informative. I hope you give them a try and let us know what you think,

We have asked our investigators to provide us with their most recent publications and we have used a new feature developed by Google called NotebookLM (notebooklm.google.com) to generate podcasts from these publications. www.laureateinstitute.org/featured-pub...

I am excited to share a new feature on our LIBR website. In response to a query from one of our research participants who expressed interest in our work and asked whether there were podcasts available about what "LIBR is working on", we have launched a new project.

Exploring options to counter US tariffs? Consider the impact of adjusting Treasury holdings. A nuanced approach, but with potential financial leverage. #EconomicStrategy #GlobalFinance #USTreasuries

Amazing story

Compelling pushback from @jmgrohneuro.bsky.social and the Board of Scientific Counselors at the National Institute on Mental Health (NIMH) regarding termination of tenure-track investigators driven by DOGE.

1/2

As the world grows scarier, let's talk about social connection!

We review its role in addiction & how it's influenced by opioids, now out in Biological Psychiatry (special issue on social homeostasis)

It's @loseth.bsky.social's brainchild & covers A LOT🧠

doi.org/10.1016/j.bi...

#neuroscience

Comparison of Methods for Isolation and Characterization of Total and Astrocyte‐Enriched Extracellular Vesicles From Human Serum and Plasma Experimental workflow for total EV isolation and AEEV enrichment. A. Human serum or plasma samples were collected from blood and stored at −80°C until isolation of total EV. B. Depiction of several m...

Essential for #biomarker discovery in #neuroscience! 🧠🔬 #EVresearch #astrocytes doi.org/10.1002/jex2...

A tour-de-force by Leandra Figueroa-Hall: A comparison of EV isolation methods from human serum & plasma reveals a trade-off: Precipitation methods (e.g., ExoQuick) yield more EVs, but size-exclusion (SmartSEC, qEV) offers greater purity.

A Direct Hit, by @holdenthorp.bsky.social @science.org
www.science.org/doi/full/10....
"This is a moment to unite."

My GPT friend tells me: "NIH’s 15% indirect cost cap can be legally challenged under the APA, contract law, & Takings Clause to block this policy. Congress must intervene to protect U.S. science. #FundResearch #NIH"

📢 This is an interesting new preprint. 💡 The authors developed a framework using LLMs to boost creativity in scientific research. 🧪 The approach recombines existing knowledge to generate novel ideas, grounded in Boden's theory of combinatorial creativity. arxiv.org/abs/2412.14141

🚀 Interesting preprint about AI agent simulations? #LMAgent! A multimodal agent society powered by LLMs, simulating 10,000+ agents in e-commerce scenarios. Realistic behaviors, herd effects, & 40% efficiency boost—paving the way for next-gen social science! 🌐🛍️ #AI #Research arxiv.org/abs/2412.092...

Interesting piece about Illbeing ≠ Wellbeing: the study shows overlapping genetic influences but distinct environmental factors shaping mental health. The authors suggest that integration is key for future interventions. #MentalHealth #Wellbeing

OpenAI's o1-preview achieves superhuman performance in clinical reasoning: Diagnoses correct in 78.3% of cases, outperforming GPT-4 (88.6% vs 72.9%). Excels in diagnostic & management tasks, scoring 99% on reasoning tests.
#AIinMedicine
arxiv.org/abs/2412.108...

In a new preprint Van Calster et al. provides comprehensive guidance on evaluating predictive AI in healthcare. Recommends core metrics: AUROC, calibration plots, net benefit via decision curve analysis. Essential reading for robust AI model validation! 🔗 arxiv.org/abs/2412.10288 #AIHealth #MedAI

Deep learning in medical imaging often takes shortcuts, finding spurious patterns instead of meaningful insights (e.g., predicting diet from knee X-rays 🤯). To mitigate this: diversify datasets, mask confounders, use adversarial training, and validate across distributions. #AIethics

Woo-Young Ahn ccs-lab.github.io/team/young-a... gave a fantastic talk at LIBR www.laureateinstitute.org about his work on inverse reinforcement learning and the need for better model-based assessments to make a real difference in mental health. 2024.ccneuro.org/pdf/466_Pape...