MIT researcher using focused ultrasound on volunteer's head to test consciousness theories, with holographic brain visualization.
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MIT paper lays out how focused ultrasound could test theories of consciousness

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Researchers affiliated with MIT argue that transcranial focused ultrasound—a noninvasive technique that can modulate activity in deep brain regions—could enable more direct, cause-and-effect tests of how conscious experiences arise. In a “roadmap” review in *Neuroscience & Biobehavioral Reviews*, they describe experimental approaches aimed at distinguishing between competing accounts of where and how awareness is generated in the brain.

Consciousness remains a central unresolved problem in neuroscience and philosophy: researchers can measure brain activity linked to experience, but establishing whether a given signal causes a conscious percept, rather than merely accompanying it, is far harder.

A review article in Neuroscience & Biobehavioral Reviews proposes that transcranial focused ultrasound (tFUS) could help close that gap by allowing researchers to modulate activity in specific brain regions without surgery, including targets deep beneath the cortex. The authors describe the method as capable of concentrating acoustic energy onto a small, millimeter-scale target through the skull, offering access to subcortical structures that are difficult to influence with noninvasive techniques such as transcranial magnetic stimulation or transcranial electrical stimulation.

The paper—“Transcranial focused ultrasound for identifying the neural substrate of conscious perception”—lists Daniel K. Freeman, Brian Odegaard (University of Florida), Seung-Schik Yoo (Brigham and Women’s Hospital and Harvard Medical School), and Matthias Michel (MIT) as authors.

Freeman, a researcher at MIT Lincoln Laboratory, said the approach could broaden what is experimentally possible in healthy volunteers. “Transcranial focused ultrasound will let you stimulate different parts of the brain in healthy subjects, in ways you just couldn't before,” he said, arguing that it could be used not only for medical and basic-science questions but also to probe long-standing debates about the “hard problem of consciousness.”

Michel, a philosopher who studies consciousness, emphasized that a major bottleneck in the field is the limited set of tools that can safely and reliably manipulate brain activity. “There are very few reliable ways of manipulating brain activity that are safe but also work,” he said.

In outlining research directions, the authors point to how stimulation experiments could help separate neural activity that is essential for conscious perception from activity that may be downstream or incidental. They frame the opportunity as a way to test broad families of views often discussed in the consciousness literature, including accounts that emphasize higher-level integration—commonly associated with the frontal cortex—and accounts that place more weight on localized or lower-level processes, potentially including subcortical contributions.

The paper also highlights pain and vision as candidate domains for early work, in part because behavioral responses can sometimes precede a person’s reported experience, raising questions about where conscious sensation is generated. Freeman described that uncertainty as a basic scientific gap: “It's a basic science question, how is pain generated in the brain,” he said, adding that researchers still debate whether key components of pain experience depend mainly on cortical regions or deeper structures.

Freeman and Michel said they are planning experiments that begin with stimulation of the visual cortex and later extend to higher-level frontal regions, with the goal of relating induced neural changes to what a participant actually experiences. Freeman summarized the distinction as moving from neural signals alone to subjective report: “It's one thing to say if these neurons responded electrically. It's another thing to say if a person saw light,” he said.

Beyond the review, Michel and neuroscientist Earl Miller co-lead the MIT Consciousness Club, an interdisciplinary forum that hosts regular events on consciousness research. MIT has described the club as supported by a grant from the MIT Human Insight Collaborative (MITHIC).

The research described in the review was supported by the U.S. Department of the Air Force, according to MIT’s published account of the work. Michel cautioned that the method is still emerging as a research tool, saying, “It's a new tool, so we don't really know to what extent it's going to work,” while arguing the approach is “low risk and high reward.”

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Reactions on X to the MIT paper proposing transcranial focused ultrasound for testing consciousness theories are limited but generally positive. Users, including scientists and enthusiasts, highlight its noninvasive potential for causal brain modulation and excitement about advancing understanding of awareness. No negative or skeptical views identified in recent high-engagement posts.

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Scientists say defining consciousness is increasingly urgent as AI and neurotechnology advance

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Researchers behind a new review in Frontiers in Science argue that rapid progress in artificial intelligence and brain technologies is outpacing scientific understanding of consciousness, raising the risk of ethical and legal mistakes. They say developing evidence-based tests for detecting awareness—whether in patients, animals or emerging artificial and lab-grown systems—could reshape medicine, welfare debates and technology governance.

중국 신경과 전문의가 어머니의 다른 질환 치료를 위해 고강도 집속 초음파(FUS)를 시행하던 중 예상치 못한 인지 개선을 발견해 알츠하이머 치료에 희망을 불러일으켰다. 쑨보민 박사는 이것이 세계 최초의 효과적인 FUS 알츠하이머 치료라고 주장한다. 90대 노모는 약 8년간 고통받았으며 2024년에 놀라운 회복을 보였다.

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OpenAI CEO Sam Altman is launching a new brain-computer interface startup called Merge Labs. The venture, which aims to read brain activity using ultrasound, is being spun out from the Los Angeles-based nonprofit Forest Neurotech. Details come from a source familiar with the plans.

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Scientists are on the verge of simulating a human brain using the world's most powerful supercomputers, aiming to unlock secrets of brain function. Led by researchers at Germany's Jülich Research Centre, the project leverages the JUPITER supercomputer to model 20 billion neurons. This breakthrough could enable testing of theories on memory and drug effects that smaller models cannot achieve.

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Researchers from Purdue University and the Georgia Institute of Technology have proposed a new computer architecture for AI models inspired by the human brain. This approach aims to address the energy-intensive 'memory wall' problem in current systems. The study, published in Frontiers in Science, highlights potential for more efficient AI in everyday devices.

 

 

 

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