ArticleScientific data2026
PsiConnect: Multimodal Neuroimaging of Context-Dependent Brain and Behaviour Dynamics under Psilocybin.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
10 authors.
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Abstract
PsiConnect is a large-scale neuroimaging study designed to investigate context-dependent neural and subjective effects of psilocybin using multimodal neuroimaging. It combines functional, structural, and diffusion-weighted MRI with EEG to examine brain activity in 62 participants before and after a 19 mg dose of psilocybin. The design includes resting-state scans and three naturalistic conditions: guided meditation, music listening, and movie watching. Half of the cohort underwent an 8-week meditation training program, enabling exploration of interactions among meditation, psilocybin, and brain function. fMRI data was obtained through multi-echo fMRI, enhancing signal-to-noise ratio and reducing susceptibility artifacts to improve reliability. A comprehensive battery of behavioural and self-report measures captured acute and longitudinal cognitive and subjective effects, with follow-ups to one year post-administration. The large sample, multimodal imaging, contextual diversity, and behavioural follow-ups enable study of psilocybin-induced brain and behaviour changes with unprecedented comprehensiveness and reliability. Data is curated according to open science principles to ensure accessibility and compatibility with established neuroimaging pipelines, making PsiConnect a valuable, reusable resource for cognitive and computational neuroscience.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.