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For years, psychedelics were said to scramble the brain into chaos. New imaging research suggests something more structured is happening, with implications for how we design therapy sessions.
If you've ever talked to someone who's had a profound experience on psilocybin, you know the language they reach for: clarity, insight, a sense of connection that feels bigger than themselves. That's a strange thing to hear about a drug that neuroscientists have spent the past decade describing as a chaos agent for the brain.
The standard story goes like this. Brain networks, the stable communication pathways that handle vision, attention, and our sense of self, loosen their grip under psychedelics. They start cross-talking in ways that look disorganized on an EEG. "Think of the networks of the brain as highways," says Devon Stoliker, a neuroscientist at Monash University. "Under psychedelics, these highways break down into many different directions."
But Stoliker never found that explanation satisfying. Chaos doesn't tell you why someone might walk away from a trip feeling like they understand themselves better. It doesn't explain insight, or the kind of clarity that therapists hope can translate into lasting psychological change. So his team built a study, called PsiConnect, to look past the noise and ask what might actually be organizing it.
They recruited 62 people who had never taken a psychedelic before, gave them a 19-milligram dose of psilocybin, the compound found in certain mushrooms, and scanned their brains using both MRI and EEG. Crucially, they skipped the cognitive tasks that typically fill brain-imaging studies. No button pressing, no memory tests. Just four settings: eight minutes of quiet rest, a guided meditation, an 11-minute music playlist, and six minutes of watching clouds drift across the sky, each done once sober and once on psilocybin.
"We wanted ecological validity," Stoliker says. "We wanted to know what the brain was like when somebody was having an authentic, uninterrupted psychedelic experience. If somebody took a psychedelic in a therapeutic setting, you wouldn't have them completing tasks." There's evidence, he notes, that handing someone a task mid-trip can yank them out of the altered state entirely, a phenomenon researchers call grounding. Avoiding that turned out to matter. Half the participants ranked their session among the most meaningful experiences of their lives, and 24 placed it in their personal top five.
With that data in hand, the team started digging. One finding stood out immediately: when participants closed their eyes, regions responsible for sensory processing lost influence over the rest of the brain, while associative regions, the ones tied to imagination, belief, and memory, gained it.
"It seems like the brain's ability to construct reality, or imagination, or our associations, our beliefs, our sense of self, these faculties had more dominance over sensory areas," Stoliker says, though he's careful to frame this as a hypothesis rather than a settled conclusion. It could help explain why people report vivid, personally meaningful imagery during a trip, the kind that feels less like random visual noise and more like a message.
The team also found that connections within individual brain networks weakened while connections between networks strengthened, a shift that lowered what's called modularity, essentially a measure of how cleanly the brain keeps its specialist teams separated. And the usual gap between an eyes-open brain and an eyes-closed brain nearly disappeared. In the visual network specifically, that gap shrank by 85 percent. An independent EEG measurement backed this up, showing alpha-band activity, a signal normally associated with the brain filtering out visual input, dropped by nearly half.

"When somebody takes a psychedelic and they're able to close their eyes and see complex imagery, there seems to be less boundary between the internal and external world than we ordinarily experience," Stoliker says.
So far, this all still sounds like chaos. The order showed up only after the researchers changed how they crunched the numbers. Most brain-imaging studies average data twice: once across time, collapsing minutes of scanning into a single summary number, and once across people, pooling individuals together under the assumption that personal quirks are just noise. Stoliker's team skipped both shortcuts. Instead, they fed the moment-by-moment activity of 332 brain regions into a machine-learning tool called CEBRA, which compressed the data while preserving the sequence of events, producing a trajectory for each person, a path traced through space representing their brain state moment to moment.
Sober, those trajectories blurred together regardless of what someone was doing. On psilocybin, they split cleanly into four distinct clusters, one for rest, one for meditation, one for music, one for the cloud video. A classifier trained on this data could look at a single moment of brain activity and correctly guess which setting the person was in, and the better it performed, the more meaningful participants rated their experience.
When the researchers isolated which brain networks drove that effect, two stood out: the default mode network and the visual network, each responsible for more than 20 percent of the classifier's accuracy. "The default mode network is strongly associated with the sense of self: daydreaming, mind wandering, thinking about yourself. It's often been called the narrative self," Stoliker explains. "On the other end of this gradient, more externally oriented, is the visual system." Under psilocybin, the boundary between those two systems blurred, a state Stoliker calls "embeddedness," where the self and the external world feel less separate. "It really challenges the idea of whether the internal world and external world are separate," he says, "and highlights the idea that the brain may be responsible for constructing both."
The day after their sessions, participants rated shifts in how connected they felt to themselves, to others, and to nature, along with changes in peace, acceptance, and creativity. Most reported positive changes, and those shifts tracked with how well the brain-activity classifier had been able to distinguish their different mental states during the scan.
That correlation is what makes this research matter beyond the lab. If the setting someone experiences a psychedelic in isn't just atmosphere but something that mechanically reshapes brain organization, then the room, the playlist, and the guidance a therapist offers stop being soft touches and start looking like clinical tools worth calibrating carefully. Psilocybin therapy is already being explored for depression, addiction, and end-of-life anxiety, and this kind of insight could help clinicians fine-tune sessions rather than relying on instinct.
Still, there are real limits here. Two people can report the same embeddedness score while living through very different inner experiences, and every volunteer in this study was healthy, not someone managing depression or PTSD, the populations most likely to receive this therapy in practice. Researchers also don't yet know how to properly tune variables like music or visual stimuli, or whether the right approach even looks the same from one patient to the next. "That's a future avenue where we need more research to determine exactly what conditions should be optimized, and for who," Stoliker says. "Still, finding this level of organization hidden underneath that disorder and chaos has some really good explanatory value."
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One with the world? A new look at brains transformed by psychedelics.
↗ https://arstechnica.com/science/2026/10/the-psychedelic-brain-looks-like-chaos-underneath-theres-order
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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