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Though the notion of the supernatural has captivated humanity across continents and centuries, the most compelling path to explaining such mysteries may reside in the fundamental operations of nature itself. The premise that there is no realm beyond the natural order underpins the hypothesis that any genuine paranormal or spiritual phenomenon, if it exists, must be quantum in character. On the surface, this sounds audacious: quantum theory is already widely deemed one of the most counterintuitive scientific frameworks, replete with superpositions, entanglement, and the undeniable role of altering reality via measurement. Yet these very features seem to provide the most plausible scaffolding upon which experiences such as extrasensory perception (ESP), clairvoyance, telepathy, contact with disembodied spirits, psychokinesis, reincarnation, or even a continuation of existence in an afterlife, could be built.

Those who have conducted painstaking investigations into alleged parapsychological happenings often begin with the simplest question: Can these events be rigorously documented? The Princeton Engineering Anomalies Research (PEAR) program endeavored to place mind–machine interactions under stringent laboratory conditions for more than two decades, testing whether human intention could alter random-event generators. Their experimental data reported “small but consistent deviations from expected outputs” (Jahn & Dunne, 1987, p. 45). Mainstream critics rightly pointed to the difficulty of reconciling such deviations with known physics. However, these critics also noted that if the data were taken at face value, the underlying mechanism could only be teased out by exploring deeper layers of reality that engage both mind and matter — precisely the realm where quantum theory holds sway.

As we delve further into the annals of psychical research, Dean Radin’s contributions provide an illuminating guide. In The Conscious Universe: The Scientific Truth of Psychic Phenomena, Radin (1997) summarizes meta-analyses across thousands of trials testing telepathy, clairvoyance, and precognition. He concludes that “if psi is real, then we will see small but systematic deviations from chance expectations across many studies” (p. 136). Over and over, this is what he reports. Conventional interpretations falter, but an appeal to quantum processes — whose probabilistic nature might be subtly influenced by consciousness — begins to feel less like arcane speculation and more like a coherent, if daring, hypothesis.

Summary: A new AI model, based on the PV-RNN framework, learns to generalize language and actions in a manner similar to toddlers by integrating vision, proprioception, and language instructions. Unlike large language models (LLMs) that rely on vast datasets, this system uses embodied interactions to achieve compositionality while requiring less data and computational power.

Researchers found the AI’s modular, transparent design helpful for studying how humans acquire cognitive skills like combining language and actions. The model offers insights into developmental neuroscience and could lead to safer, more ethical AI by grounding learning in behavior and transparent decision-making processes.

Like humans, mice will compete over territory and mates, and show increased confidence in their fighting skills the more they win. At first, a brain chemical called dopamine is essential for young males to master this behavior. But as they gain experience, the chemical grows less important in promoting aggression, a new study shows.

Dopamine has been linked to male aggression for decades. How past experiences might influence this relationship, however, had until now been unclear.

In experiments in rodents, a team led by researchers at NYU Langone Health boosted activity in -releasing cells in a part of the brain called the . The findings revealed that in inexperienced male fighters, this led the animals to attack for twice as long as they would have fought naturally. When the cells were blocked, the novice mice would not fight at all.

A new study reveals that people with multiple sclerosis (MS) experience significantly higher rates of mental illness during pregnancy and the first year after childbirth, compared to those without MS.

The findings suggest a critical need for targeted mental health screening and interventions for this group, with depression and anxiety being the most prevalent conditions.

MS and mental health during pregnancy.

Xenon gas might one day be used as a treatment for Alzheimer’s disease, according to researchers from Mass General Brigham and Washington University. Don’t let its alien-sounding name frighten you. Xenon gas is commonly used as a medical aesthetic.

The researchers found that mice suffering from Alzheimer’s-like conditions saw reduced brain inflammation and a slowing of brain atrophy after inhaling xenon gas.

One of the biggest signs that xenon gas might actually be doing some good is that they even saw a reduction in amyloid plaque in the brain. These are deposits of proteins called beta-amyloids in the brain that are a hallmark of Alzheimer’s disease. The researchers think xenon is activating the brain’s immune cells to protect the brain from neurodegeneration.

Summary: New research highlights how the brain’s reward-learning system can guide personalized treatments for depression. By studying two brain signals, expected value and prediction error, researchers identified markers that predict recovery potential and tailored responses to rewards and setbacks.

This approach goes beyond symptom management, targeting the brain processes driving specific depression symptoms like anhedonia. The findings pave the way for brain-based therapies that align with each individual’s unique learning patterns, offering more precise and effective mental health care.

Alzheimer’s disease (AD), the most prevalent neurodegenerative disorder, continues to pose significant challenges despite advances in anti-amyloid therapies. New research from Harvard Medical School and Washington University School of Medicine, published in Science Translational Medicine, has unveiled a novel therapeutic approach: the use of inhaled xenon gas to modulate microglia and ameliorate disease progression in mouse models of AD.

How Xenon Targets Microglia

Microglia, the brain’s resident immune cells, play a dual role in neurodegeneration. While they can clear amyloid-beta (Aβ) plaques and damaged neurons, chronic activation leads to neuroinflammation, contributing to disease progression. Xenon gas, an inert anaesthetic, penetrates the blood-brain barrier and appears to modulate microglia to adopt a “pre-neurodegenerative microglia” (pre-MGnD) state.

Researchers have identified a key pathway that links how neurons send signals to each other, or synaptic activity, to the expression of genes necessary for long-term changes in the brain, providing crucial insights into the molecular processes underlying memory formation.

“These findings illuminate a critical mechanism that connects local synaptic activity to the broader gene expression changes necessary for learning and memory,” said Mark Dell’Acqua, professor of pharmacology at the University of Colorado Anschutz Medical Campus and senior author of the study. “This paper is mainly a basic science finding of a fundamental process of what nerve cells do. Understanding this relay system not only enhances our knowledge of brain function but could also better inform therapeutic treatments for cognitive disorders.”

The nucleus where the genes that modify neuron function are controlled is a long distance away from where neurons receive input from their synapses, which are located in distant dendrites that extend like branches from the trunk of a tree. This research focuses on the cAMP-response element binding protein (CREB), a transcription factor known to regulate genes vital for dynamic changes at synapses which is essential for neuronal communication. Despite CREB’s well-documented role in supporting learning and memory, the exact mechanisms leading to CREB activation during neuronal activity remain unclear.

Using advanced microscopy techniques, graduate student Katlin Zent in Dr. Dell’Acqua’s research group revealed a crucial relay mechanism involving the activation of receptors and ion channels generating calcium signals that rapidly communicates from synapses in remote dendrite branches to the nucleus in the neuron cell body.

“Going forward, this research will enable us to better examine the way these pathways are utilized in different disease states,” said Dell’Acqua. “We could see exactly what parts of this new mechanism are interfered with and where, giving us a better idea of how this pathway affecting learning and memory is impacted. This research highlights potential targets for interventions aimed at conditions like Alzheimer’s disease and other memory-related disorders.”