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Human consciousness is not confined to the brain and body, but is embedded within non-local fields of information, and trusting intuitive feelings can lead to unexpected and successful outcomes.

Key insights.

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Studies find a densely connected network of neurons that communicate over long distances, rather than across synapses.

The question is not whether there will be a machine that can read your mind. Rather, it is when. Before that, governments across the world need to consider ‘neurorights’ to protect citizens’ brains against neurotechnology.

Contrary to the commonly-held view, the brain does not have the ability to rewire itself to compensate for the loss of sight, an amputation or stroke, for example, say scientists from the University of Cambridge and Johns Hopkins University.

Meta, the parent company of Facebook, has made a groundbreaking development in brain-computer interface technology. They have unveiled an AI system that can decode visual representations and even “hear” what someone is hearing by studying their brainwaves. These advancements in brain-machine interface technology have the potential to transform our relationship with artificial intelligence and its potential applications in healthcare, communication, and virtual reality.

The University of Texas at Austin has developed a new technology that can translate brain activity into written text without surgical implants. This breakthrough uses functional Magnetic Resonance Imaging (fMRI) scan data to reconstruct speech. An AI-based decoder then creates text based on the patterns of neuronal activity that correspond to the intended meaning. This new technology could help people who have lost the ability to speak due to conditions such as stroke or motor neuron disease.

Despite the fMRI having a time lag, which makes tracking brain activity in real-time challenging, the decoder was still able to achieve impressive accuracy. The University of Texas researchers faced challenges in dealing with the inherent “noisiness” of brain signals picked up by sensors, but by employing advanced technology and machine learning, they successfully aligned representations of speech and brain activity. The decoder works at the level of ideas and semantics, providing the gist of thoughts rather than an exact word-for-word translation. This study marks a significant advance in non-invasive brain decoding, showcasing the potential for future applications in neuroscience and communication.

A speech prosthetic developed by a collaborative team of Duke neuroscientists, neurosurgeons, and engineers can translate a person’s brain signals into what they’re trying to say.

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A brain-computer interface lets a quadriplegic woman pilot an F-35 flight simulator with the power of her mind alone.

Protein indicators of subclinical peripheral heath in plasma were linked with markers of Alzheimer’s disease and neurodegeneration, cross-sectional proteomic analyses showed.

Greater protein-based risk for cardiovascular disease, heart failure mortality, and kidney disease was associated with plasma biomarkers of amyloid-beta, phosphorylated tau181 (p-tau181), neurofilament light (NfL, a measure of neuronal injury), and glial fibrillary acidic protein (GFAP, a measure of astrogliosis), even in people without cardiovascular or kidney disease, reported Keenan Walker, PhD, of the National Institute on Aging in Baltimore, and co-authors.

Proteomic indicators of body fat percentage, lean body mass, and visceral fat also were tied to p-tau181, NfL, and GFAP, Walker and colleagues wrote in the Annals of Neurology.