iiinova — where your digital self keeps evolving

Rodrigo Cabral-Carvalho @rodrigocc.bsky.social · 30/04/2025

(8/8) I also want to acknowledge @robincarhartharris.bsky.social , whose work has been inspiration for my personal visions and research direction, and also @ruffini.bsky.social for his methodological insights and great conversations at the Brain Modes conference!

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Rodrigo Cabral-Carvalho @rodrigocc.bsky.social · 30/04/2025

(6/8) In the subacute group, ΔT (condition - baseline scans) correlated with the “affect” subscale of the Hallucinogen Rating Scale (HRS), p < 0.01 and was better explained in the ayahuasca group (adj. R² = 0.58) compared to the placebo (adj. R² = -0.05).

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Rodrigo Cabral-Carvalho @rodrigocc.bsky.social · 30/04/2025

(5/8) Main results start now: Change in Ising-inferred temperature (ΔT) was significantly higher in both the acute (p < 0.001) and subacute (24 h, p < 0.05) ayahuasca groups vs. placebo, indicating a sustained entropy elevation.

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Rodrigo Cabral-Carvalho @rodrigocc.bsky.social · 30/04/2025

(4/8) With less prominent network changes in subacute dataset.

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Rodrigo Cabral-Carvalho @rodrigocc.bsky.social · 30/04/2025

(3/8) Acute ayahuasca produced ↓segregation & modularity and ↑clustering & path length—especially in auditory, somatomotor & attention networks—pointing to more globally integrated, less modular dynamics as we may know.

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Rodrigo Cabral-Carvalho @rodrigocc.bsky.social · 30/04/2025

(2/8) The main method infer Ising temperature using a GNN model, developed by me and published in Network Neuroscience (Cabral-Carvalho et al., 2025).

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Rodrigo Cabral-Carvalho @rodrigocc.bsky.social · 30/04/2025

(1/8) • Acute dataset: n=8 regular ayahuasca users, fMRI pre vs. 40 min post-dose • Subacute dataset: n=19 aya vs. n=18 placebo, fMRI pre vs. 24 h post • Analyses: graph metrics (segregation, clustering, path-length, modularity, etc.) + Ising temperature

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