A prominent theory of psychedelics is that they increase brain entropy. Thirteen studies have evaluated psychedelic effects on fMRI brain entropy, each applying a distinct measure. Here we evaluated these metrics in an independent 28-participant healthy cohort with 121 pre- and post-psilocybin fMRI scans. We assessed relations between brain entropy and objec...
Aims: Recently the therapies that utilize psychedelics have emerged as promising treatments for mood disorders, trauma-related disorders, and substance use disorders. While there is a growing body of research comparing various interventions directly, the majority of available research has been conducted in an indirect manner; therefore, Network Meta-Analysis...
Classical serotonergic psychedelics, such as psilocybin, show emerging evidence of therapeutic potential across a range of mental health disorders, including depression, anxiety, and substance use disorders, with indications of transdiagnostic efficacy. While early-phase studies yielded encouraging results, recent larger-scale phase 3 trials, such as those e...
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...
This article proposes a research agenda for psilocybin-assisted therapy focusing on the correlation between neural entropy and long-term cognitive flexibility.
Psychedelics, such as psilocybin, reorganise large-scale brain connectivity, yet how these changes are reflected across electrophysiological (electroencephalogram, EEG) and haemodynamic (functional magnetic resonance imaging, fMRI) networks remains unclear. We present Brain-MGF, a multimodal graph fusion network for joint EEG-fMRI connectivity analysis. For ...
Psychedelic experiences are frequently described as producing a “psychological reset,”characterized by reduced rigidity of thought and disruption of maladaptive cognitive pat-terns. Existing models such as REBUS and the entropic brain hypothesis explain acutedestabilization but do not fully account for post-experience reconstruction. This paper pro-poses a t...
PRE-EMPT will assemble a study group of 150 civilian and Veteran participants from three populations (low risk, intermediate risk, and high risk for self-harm). The investigators will obtain clinical assessments, MRI, and blood levels for circular RNA (circRNA). The teams will then administer three interventions (neurofeedback, transcranial magnetic stimulat...
ABSTRACT Accidental ingestion of psilocybin-containing mushrooms can cause poisoning and hallucinations, making their rapid detection a public health priority. Conventional methods such as HPLC, GC-MS, LC-MS, TLC, CE, and ELISA provide sensitivity but are often destructive, time-consuming, or impractical for real-time applications. This study introduces a Ra...
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...
Psychedelic compounds such as psilocybin, Lysergic Acid Diethylamide (LSD), N,Ndimethyltryptamine (DMT), and 3,4-methylenedioxymethamphetamine (MDMA) are emerging as novel therapeutics for neuropsychiatric disorders, including depression, Post-Traumatic Stress Disorder (PTSD), and addiction. Acting primarily through serotonin 5-HT2A receptor agonism, they ac...
Abstract Background: This case describes a substance-induced manic episode with psychotic features in which interaction with an AI (artificial intelligence) chatbot appeared to corroborate and reinforce the patient’s delusional thought content and to contradict medical advice. Excerpts from the patient’s interactions with the AI chatbot provide novel clinica...
Abstract Background and Purpose Music plays a central role in psychedelic-assisted therapy, yet few methodologies exist to create and assess therapeutic playlists. This study aimed to illustrate a methodology for developing and evaluating a music playlist for a clinical psilocybin trial using an integrative framework grounded in theory, intentionality, and m...
BACKGROUND: Recent advancements in psychedelic research have highlighted psilocybin's potential therapeutic benefits for various mental disorders. Understanding its effects on brain function and identifying predictors of individual responses are essential for developing effective treatments. METHODS: This double-blind, randomized, crossover, and placebo-cont...
Major depressive disorder (MDD) continues to pose a major therapeutic challenge due to its clinical heterogeneity. This chapter looks at the development of antidepressant treatments, starting with early interventions such as electroconvulsive therapy (ECT), monoamine oxidase inhibitors (MAOIs) and tricyclic antidepressants (TCAs). Although these treatments t...
Introduced in 2014 and revised in 2018, the entropic brain hypothesis has accrued a wealth of supportive evidence. The hypothesis states that- along a dimension of breadth of conscious experience- ‘expansive states’ reliably exhibit increased brain entropy whereas the inverse applies for states of no or reduced consciousness. Examples of expansive states inc...
Introduced in 2014 and revised in 2018, the entropic brain hypothesis has accrued a wealth of supportive evidence. The hypothesis states that- along a dimension of breadth of conscious experience- ‘expansive states’ reliably exhibit increased brain entropy whereas the inverse applies for states of no or reduced consciousness. Examples of expansive states inc...
Metastability of BOLD fMRI signals is a commonly used proxy of brain dynamics in behavioral and clinical studies. To date, little has been done to assess the confidence with which we can use estimates of metastability as reliable biomarkers of individual brain state. We analyze whole-brain and network-specific metastability for a highly sampled individual br...
