Abstract Background Prolonged grief disorder (PGD) is a clinically distinguishable bereavement-related condition characterized by persistent yearning, identity disruption, and impaired functioning, formalized in DSM-5-TR and ICD-11 (6L72) and empirically distinguishable from but frequently co-occurring with major depressive disorder. Approximately 7 to 10 pe...
Mystical experiences are characterized by a profound sense of interconnectedness and transcendence of ordinary reality. These experiences can facilitate feelings of connectedness with oneself and others and have been documented as leading to significant positive changes in thoughts, emotions, and behavior. The purpose of the present study was to evaluate the...
Introduction This computational modeling study introduces a novel Explainable Artificial Intelligence (XAI) framework for optimizing single-dose psilocybin treatment protocols through personalized intervention modeling using publicly available mental health datasets. All results presented are derived from novel simulated data and predictive modeling only, no...
Introduction: Treatment-Resistant Depression (TRD) affects approximately 30-50% of patients with Major Depressive Disorder (MDD) who fail to respond to at least two adequate antidepressant trials. This condition presents substantial clinical and functional challenges, and no universally accepted treatment algorithm currently exists. Emerging therapeutic stra...
Artificial intelligence (AI) and psychedelic medicines are among the most high-profile evolving disruptive innovations within mental healthcare in recent years. Although AI and psychedelics may not have historically shared any common ground, there exists the potential for these subjects to combine in generating innovative mental health treatment approaches. ...
In this study, for the first time, we explored a dataset of functional magnetic resonance images collected during focused attention and open monitoring meditation before and after a five-day psilocybin-assisted meditation retreat using a recently established approach, based on the Mapper algorithm from topological data analysis. After generating subject-spec...
Background: Therapeutic administration of psychedelic drugs has shown significant potential in historical accounts and in recent clinical trials in the treatment of depression and other mood disorders. A recent randomized double-blind phase-IIb study demonstrated the safety and efficacy of COMP360, COMPASS Pathways’ proprietary synthetic formulation of psilo...
Background: Therapeutic administration of psychedelic drugs has shown significant potential in historical accounts and in recent clinical trials in the treatment of depression and other mood disorders. A recent randomized double-blind phase-IIb study demonstrated the safety and efficacy of COMP360, COMPASS Pathways’ proprietary synthetic formulation of psilo...
Background Synapses and spines are central in major depressive disorder (MDD) pathophysiology, recently highlighted by ketamine’s and psilocybin’s rapid antidepressant effects. The Bayesian brain and interoception perspectives formalize MDD as being “stuck” in affective states constantly predicting negative energy balance. We examined how synaptic atrophy re...
Use of psilocybin reduces anxiety and depression when used as palliative care in cancer cases. Oregon is poised to legalize this drug for therapeutic use, a revolutionary step forward in the legalization process that will increase the care options for patients.
Machine Learning is used to predict the efficacy of psilocybin in treating mental health and addiction by using a random forest algorithm. Psilocybin is a chemical compound found in fungi. Following ingestion, it is converted to psilocin which acts as a serotonin agonist, producing altered states of consciousness and hallucinations. Research suggests the use...
Classic psychedelic substances, such as lysergic acid diethylamide and the active compound in magic mushrooms, psilocybin, are being studied again in a renaissance of psychedelic research. Psychedelic substances have profound effects on perception, emotion, and cognition, as well as the capacity to induce mystical-type experiences and ego-dissolution. Recent...
BackgroundNatural speech analytics has seen some improvements over recent years, and this has opened a window for objective and quantitative diagnosis in psychiatry. Here, we used a machine learning algorithm applied to natural speech to ask whether language properties measured before psilocybin for treatment-resistant can predict for which patients it will ...
Mental illness is a public health crisis. Millions of Americans suffer through their days crippled by symptoms of mood, anxiety, and substance use disorders. These conditions take large social and economic tolls on our communities. However, the medicines used to treat them have remained largely unchanged for over fifty years. Though helpful to many people, t...
