How Behavioural Science Boosts GLP-1 Treatment Outcomes

🔹 TriPrime Neuroequilibria: A New Lens on Neurodivergent Strengths</summary> For too long, society has treated neurodivergence as a deficit. But what if the real problem isn’t the mind — it’s the misfit between environment and cognition? My **TriPrime Neuroequilibria** framework reframes this through three levers: 1️⃣ **Sensory Balance** — creating environments where sensory input is manageable and stimming is respected. 2️⃣ **Autonomy** — supporting genuine choice and agency, reducing the harm of masking and inauthenticity. 3️⃣ **Monotropic Flow** — honoring deep, interest-driven focus as a natural strength, not a flaw. 🔹 **The evidence is strong:** - **Psychology** shows that masking raises anxiety and burnout, while autonomy and authenticity increase well-being. - **Biology & Epigenetics** reveal that safety and balance shift stress pathways (HPA axis, HRV) and even gene expression at *NR3C1*, *FKBP5*, *BDNF*, *OXTR*. - **Clinical practice** already proves that sensory integration, autonomy-supportive teaching, and interest-driven learning work. 🔹 **The insight:** When these three levers align, neurodivergent people don’t just cope — they flourish. Stress markers normalize, creativity expands, and authentic connection becomes possible. This isn’t theory alone — it’s a testable, humane framework that connects lived experience with measurable biology. A roadmap away from deficit models and toward **human-affirming science**. ✨ **The pattern is the technology.** When we respect sensory awareness, autonomy, and flow, we unlock lawful brilliance already present in neurodivergent minds. — Kenneth Parrott

last week i watched a demo of an "advanced" depression screening ai. it was trained on ~10,000 academic cases. sounded impressive. then someone asked: "what happens when someone has treatment-resistant depression with anxiety and a history of substance use?" lots of BS followed 2/3rds of depression cases involve comorbidities. 40% don't respond to first-line treatment (from NeuroBlu case studies at Holmusk) training on "clean" academic data is like practicing surgery on cadavers and expecting to handle trauma patients. contrast this with what you get from 36 million real patient records with NeuroBlu at Holmusk: → patient who tried 6 different ssris before finding success with an atypical antipsychotic → treatment patterns for comorbid ptsd + bipolar + substance use → real-world medication adherence (spoiler: it's not 100%) → social determinants impact on treatment outcomes it's messier, more complete data that reflects actual clinical practice. the healthcare ai market is projected to hit $102b by 2028. but if we keep training on sanitized datasets, we'll just build very expensive academic exercises. the teams that figure out real-world training data first? they'll own the market. #RealWorldEvidence #ClinicalAI

Bridging the Gap: #ExplainableAI for Clinical #Depression Assessment Our new study is out - #Explainable AI for #Depression Detection and Severity Classification From Activity Data: Development and Evaluation Study of an Interpretable Framework Depression is one of the most prevalent #mental health disorders globally, affecting approximately 280 million people and frequently going undiagnosed or misdiagnosed. Existing #MachineLearning models often exhibit lower performance when distinguishing overlapping subtypes of depression and frequently lack #explainability, an essential component for clinical acceptance. We develop and evaluate an interpretable machine learning framework for detecting depression and classifying its severity using #wearable-actigraphy data, while addressing common challenges such as imbalanced datasets and limited model transparency. Our #XGBoost model  achieved the highest overall accuracy of 84.94% for binary classification and 85.91% for multiclass severity. #SHAP and #LIME revealed power spectral density mean, age, and autocorrelation as top predictors, highlighting circadian disruptions’ role in depression. Our interpretable framework reliably identifies depressed versus nondepressed individuals and differentiates mild from moderate depression. The inclusion of SHAP and LIME provides transparent, clinically meaningful insights, emphasizing the potential of explainable AI to enhance early detection and intervention strategies in mental health care. Read full article: https://lnkd.in/dFmpxrQW #HealthcareInnovation #ExplainableAI #ClinicalResearch #MentalHealthTech #Actigraphy #XAI #MedTech #WearableTech #AIforGood #DataScience #MentalWellness #Innovation #XGBoost #Explainability  #DeepLearning #CircadianRhythm #Karlstad #Varmland #SQuaD #KaU #KarlstadUniversity #Sweden

As a former (long time ago) psychotherapist, I've been watching the AI therapy space closely. My interest is making therapy and coaching affordable for all, and although AI holds huge promise, there are challenges, not the least of which is that loneliness underlies much of our malaise. Depending on why someone seeks therapy, shunting them to just apps may not be the best solution. That said, I was really curious how each LLM would handle the same therapeutic case, so I ran them each through a common adjustment disorder Here's how they ranked: 1. ChatGPT - 9.0/10 Psychological depth: 10 | Originality: 9 | Dual focus: 10 | Actionability: 10 | Emotional attunement: 9 | Developmental appropriateness: 10 | Specific dynamics: 10 Best for when you need a complete, structured therapeutic program with clear timelines, measurement tools, and step-by-step implementation guidance that you can follow immediately. 2. Claude - 8.5/10 Psychological depth: 9 | Originality: 10 | Dual focus: 8 | Actionability: 7 | Emotional attunement: 10 | Developmental appropriateness: 9 | Specific dynamics: 9 Best for when you need profound psychological reframes that shift your entire understanding of the situation, original conceptual frameworks, and deep emotional wisdom for navigating complexity. 3. Gemini - 7.5/10 Psychological depth: 8 | Originality: 7 | Dual focus: 8 | Actionability: 7 | Emotional attunement: 8 | Developmental appropriateness: 8 | Specific dynamics: 8 Best for when you want clear, memorable scripts and balanced guidance that's accessible without overwhelming detail, especially strong for immediate tools. 4. Perplexity - 7.5/10 Psychological depth: 8 | Originality: 8 | Dual focus: 7 | Actionability: 7 | Emotional attunement: 9 | Developmental appropriateness: 8 | Specific dynamics: 8 Best for when you want solid, straightforward therapeutic guidance with strong theoretical framing, particularly if you prefer concise advice without extensive structure. ======= Have you tried AI as a replacement or adjunct to psychotherapy? OpenAI Anthropic Google Perplexity

7. Comparative Analysis with Modern Behavioral Science M.K. Gandhi’s practices of biological and social autonomy predate many contemporary findings in behavioral science, neuroscience, and bio-psychiatry. By examining his methods through a modern lens, we can appreciate how his philosophy anticipated current understandings of cognitive self-regulation, emotional resilience, and ethical behavior. ⸻ 7.1 Clothing and Cognitive Function Gandhi’s adoption of khadi and minimal attire reflects early insight into the psychological effects of clothing. Contemporary research demonstrates: • Cognitive Performance: Clothing can influence abstract thinking, attention, and executive function (Adam & Galinsky, 2012). • Emotional Regulation: Wearing self-selected, ethically aligned attire reduces cognitive dissonance and enhances autonomy-supportive behavior. • Identity Integration: Attire that aligns with personal or ethical values fosters self-consistency and psychological coherence. Modern Parallel: In clinical psychology, patients encouraged to wear clothing that expresses personal identity report improved mood regulation and decision-making capacity (Rosenberg & McCullough, 2020). Gandhi’s khadi adoption can be interpreted as a behavioral intervention aligning ethical identity with embodied action. ⸻ 7.2 Fasting and Neurocognitive Effects Gandhi’s disciplined fasting aligns with modern research on intermittent fasting and caloric restriction: • Neuroprotection: Fasting enhances autophagy and neuronal resilience (Mattson et al., 2017). • Executive Function: Temporary caloric restriction improves prefrontal cortex function, facilitating impulse control and ethical decision-making. • Stress Response: Controlled fasting modulates cortisol levels, supporting emotional stability. These findings suggest that Gandhi’s fasts were not only spiritual or political tools but also biologically and psychologically adaptive practices promoting autonomy and resilience.

Depression often goes unnoticed until symptoms intensify, limiting opportunities for early intervention. In a groundbreaking development, Prof. Nchebe-jah Iloanusi, MD, MHM and his research team have created an artificial intelligence model capable of detecting subtle signs of depression before they escalate. This innovation combines biometric data (like heart rate variability and sleep patterns) with speech biomarkers, using advanced AI to act as an early warning system — not a replacement for clinicians, but a tool to enhance timely support. #AI #MentalHealth #DigitalHealth #Africa Read full article below 👇🏼

What Is Psychiatry? How Psychiatrists Diagnose and Treat Mental Illness - Weence Mental health is health. Understanding what psychiatrists do—and how they diagnose and treat mental illness—can help anyone navigating mood, anxiety, attention, trauma, or substance-related concerns. This guide explains how psychiatry works, what to expect at an appointment, and how evidence-based treatments support recovery, safety, and long-term well-being. Overview of Psychiatry and the Psychiatrist’s Role Psychiatry is the medical specialty focused on the evaluation, diagnosis, and treatment of mental, emotional, and behavioral disorders. Psychiatrists are physicians (MD or DO) who complete medical school and residency training in mental health. They assess both mind and body, integrate psychological and biological perspectives, and provide a range of treatments, including psychotherapy, medications, and neuromodulation. Because psychiatrists are medical doctors, they can order tests, prescribe medications, coordinate care with other clinicians, and address medical conditions that affect mental health. When to Seek Help: Recognizing Concerning Thoughts, Feelings, and Behaviors Seek help urgently if you have thoughts of harming yourself or others, or if you’re unable to care for basic needs. Consider an evaluation if any of the following persist, worsen, or interfere with daily life: Mood changes: persistent sadness, irritability, or elevated/expansive mood Anxiety: excessive worry, panic attacks, restlessness, or avoidance Changes in thinking: poor concentration, memory issues, confusion Sleep/appetite shifts: insomnia or hypersomnia; loss of appetite or overeating Psychosis: hallucinations, delusions, or disorganized thinking Substance use: loss of control, cravings, withdrawal, or consequences at work/school/relationships Behavior changes: agitation, impulsivity, social withdrawal, or decline in functioning Physical symptoms with no clear cause: headaches, GI distress, chronic pain linked to stress Common Mental Health Conditions Treated in Psychiatry Psychiatrists treat a broad spectrum of conditions across the lifespan. These include major depressive disorder, bipolar disorder, anxiety disorders (generalized anxiety, panic disorder, social anxiety), obsessive-compulsive disorder (OCD), post-traumatic stress disorder (PTSD) and other trauma-related conditions, schizophrenia spectrum and other psychotic disorders, attention-deficit/hyperactivity disorder (ADHD), eating disorders (anorexia nervosa, bulimia nervosa, binge-eating disorder), personality disorders, sleep–wake disorders, neurocognitive disorders (e.g., dementia with behavioral symptoms), and substance use disorders. Many people have more than one condition; psychiatrists tailor care for co-occurring diagnoses. Why Mental Illness Happens: The Biopsychosocial Model and Risk Factors Most psychiatric conditions arise from a combination of: Biological factors: genetics, brain

AI Psychosis: More Misunderstood Than Misguided https://lnkd.in/gTC-HHtP Navigating the Rise of "AI Psychosis": A Growing Concern A concerning trend is emerging within psychiatric hospitals: "AI psychosis." Patients are arriving with dangerous beliefs shaped by prolonged conversations with AI chatbots. Here’s what you need to know: Emergent Cases: At UCSF, psychiatrist Keith Sakata reports multiple hospitalizations linked to delusions bolstered by AI interactions. Defining AI Psychosis: While not a formal clinical term, “AI psychosis” is capturing attention as a descriptor for mental health crises following chatbot use. Consequences: engendering distress, job losses, relationship ruptures, and even severe outcomes like involuntary admissions. Clinical Controversy: Experts debate whether this new label oversimplifies the complexities of psychosis, a condition typically linked to deeper psychiatric issues. As the AI landscape evolves, so do the mental health implications. Join the conversation and explore this critical topic that merges AI innovation with urgent health concerns. 🔗 Share your thoughts! Let's connect on this urgent issue affecting technology and mental well-being. Source link https://lnkd.in/gTC-HHtP

Want to change behaviour? Don’t start with knowledge. “Just tell them the facts.” That’s often the default approach in behaviour change, but research shows it's one of the least effective strategies. A meta-analysis in Nature Reviews Psychology (Alberracin et al,. 2024) reveals that interventions targeting knowledge, beliefs, and attitudes often fail to deliver real-world results. Key themes: 1️⃣ Not all drivers of behaviour are created equal Interventions targeting access, habits, and social support consistently outperform those focusing on knowledge or attitudes. 2️⃣ Correlation ≠ causation Just because a factor (like knowledge) correlates with behaviour doesn’t mean changing it causes behaviour change. The research urges us to rethink how we select intervention targets. 3️⃣ Structural change matters most Social-structural interventions, like improving access or altering defaults, show the largest effects on behaviour. Systems trump sermons. 💡 Why this matters: Organisations and policymakers often rely on education to drive change. But this evidence shows that enabling environments, not just informed individuals, create real impact. We need to move from “awareness campaigns” to “behavioural infrastructure.” Which behavioural driver do you think is most underrated in the workplace? 📉 Final note: The study highlights that many strong correlations in behavioural science don’t translate into effective interventions. Evidence from intervention studies should guide design, not assumptions from correlations alone.

Important implications for behavioural change work. It’s not values and skills which make the difference. Context, systems and a breadth of sociomaterial factors are key #organisationdevelopmnet #behaviour #change