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#neuropsychopharmacology

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Hey everyone!
New here!

I am interested in #Monero #Haveno #Cryptocurrency #FreedomOfPress #FreedomOfSpeech #Democracy #InfoSec #Anonymity #EthicalHacking and #Politics

Just to give you a brief idea about me. I am also quite knowledgable in #neuropsychopharmacology, but that is not a very exciting topic for most people and I don't deal much with it anymore so we can almost leave that aspect out 😅

I do not prefer to give much information about myself, but I will say that I have strong associations/connections to #Denmark and (more specifically) #Copenhagen though I suppose many of us here do don't we?

I personally do not know that I fit in with any specific political party, but I am often involved in #PoliticalActivism. I have often thought it may be best to form my own political party after having given it so much consideration, but that would be quite a big of work wouldn't it now? I think maybe I will stick to activism for now and see where it will lead in the future 😉😊

Análisis del fenotipo digital (todos tenemos uno) para predecir gravedad de #adicción y posibilidad de falla de tratamiento

Se llama BERT(ha)

AI-based analysis of social media language predicts addiction treatment dropout at 90 days

#Neuropsychopharmacology #Nature #Addiction #digitalphenotyping

nature.com/articles/s41386-023

NatureAI-based analysis of social media language predicts addiction treatment dropout at 90 days - NeuropsychopharmacologyThe reoccurrence of use (relapse) and treatment dropout is frequently observed in substance use disorder (SUD) treatment. In the current paper, we evaluated the predictive capability of an AI-based digital phenotype using the social media language of patients receiving treatment for substance use disorders (N = 269). We found that language phenotypes outperformed a standard intake psychometric assessment scale when predicting patients’ 90-day treatment outcomes. We also use a modern deep learning-based AI model, Bidirectional Encoder Representations from Transformers (BERT) to generate risk scores using pre-treatment digital phenotype and intake clinic data to predict dropout probabilities. Nearly all individuals labeled as low-risk remained in treatment while those identified as high-risk dropped out (risk score for dropout AUC = 0.81; p < 0.001). The current study suggests the possibility of utilizing social media digital phenotypes as a new tool for intake risk assessment to identify individuals most at risk of treatment dropout and relapse.

😮 Wow

Effect of LSD on whole-brain functional and effective connectivity
#Neuropsychopharmacology @Nature

“Multivariate analyses revealed stronger EC between parietal, temporal and inferior frontal regions under LSD, but weaker EC between regions in occipital cortices. When comparing FC to EC, we found notable changes in self-inhibition in around 30% of the brain regions under LSD, indicating that #LSD may perturb the excitation/inhibition (E/I) balance of the #brain.”

nature.com/articles/s41386-023

As many as 75% of people with #PTSD develop alcohol use disorder (AUD). What if a drug could break that link? Scripps Research scientists have shown that targeting a brain pathway implicated in both PTSD and AUD diminishes alcohol preference and intake in a rat model of PTSD. What's more, the drug they used is already approved for use in treating Parkinson's disease. #Neuropsychopharmacology

scripps.edu/news-and-events/pr

New research disputes the “lazy stoner” stereotype

New #research casts doubts on claims that chronic cannabis use results in “amotivational syndrome,” which is characterized by a lack of enjoyment of everyday life and a loss of #motivation.

#Neuropsychopharmacology #Cannabis #brain #cognition

rawstory.com/new-research-disp

Raw Story - Celebrating 18 Years of Independent JournalismNew research disputes the “lazy stoner” stereotypeBy PsyPost