Lifeboat Foundation

Gray matter is made up of neuron cell bodies and dendrites and is responsible for processing and interpreting information, such as sensation, perception, learning, speech, and cognition. White matter is made up of axons, which are long nerve fibers that connect neurons together from different parts of the brain.

In the study, male brains tended to be greater in volume than female brains. When adjusted for total brain volume, female infants on average had significantly more gray matter, while male infants on average had significantly more white matter in their brains.

Yumnah Khan, a Ph.D. student at the Autism Research Center at the University of Cambridge, who led the study, said, Our study settles an age-old question of whether male and female brains differ at birth. We know there are differences in the brains of older children and adults, but our findings show that they are already present in the earliest days of life.

Scientists have identified a key nucleolar complex that could be instrumental in combating neurodegenerative diseases. This complex plays a critical role in maintaining cellular health by regulating protein homeostasis (proteostasis)—the process by which cells ensure proper protein balance and function.

Research reveals that suppressing this nucleolar complex significantly reduces the toxic effects of proteins associated with Alzheimer’s.

Alzheimer’s disease is a progressive neurological disorder that primarily affects older adults, leading to memory loss, cognitive decline, and behavioral changes. It is the most common cause of dementia. The disease is characterized by the buildup of amyloid plaques and tau tangles in the brain, which disrupt cell function and communication. There is currently no cure, and treatments focus on managing symptoms and improving quality of life.

Studying a diverse and peculiar genus of mice offers researchers a window into the genetic and neural underpinnings of behavior.

Summary: A new study has identified a biomarker, DTI-ALPS, which connects glymphatic system dysfunction to vascular dementia. By analyzing over 3,750 participants, researchers found that lower DTI-ALPS scores correlated with worse executive function, highlighting the glymphatic system’s role in clearing brain waste.

The study also uncovered a potential pathway linking impaired waste clearance to cognitive decline, mediated by free water accumulation in white matter. These findings provide a robust tool for clinical trials and potential interventions, including lifestyle changes and medications, to enhance glymphatic function and treat vascular dementia.

In “time expansion experiences,” time typically appears to expand by many orders of magnitude.

Scientists at Yale and the University of Connecticut have taken a major step in understanding how animal brains make decisions, revealing a crucial role for electrical synapses in “filtering” sensory information.

The new research, published in the journal Cell, demonstrates how a specific configuration of electrical synapses enables animals to make context-appropriate choices, even when faced with similar sensory inputs.

Animal brains are constantly bombarded with sensory information—sights, sounds, smells, and more. Making sense of this information, scientists say, requires a sophisticated filtering system that focuses on relevant details and enables an animal to act accordingly. Such a filtering system doesn’t simply block out “noise”—it actively prioritizes information depending on the situation. Focusing on certain sensory information and deploying a context-specific behavior is known as “action selection.”

While most of us are familiar with magnets from childhood games of marveling at the power of their repulsion or attraction, fewer realize the magnetic fields that surround us—and the ones inside us. Magnetic fields are not just external curiosities; they play essential roles in our bodies and beyond, influencing biological processes and technological systems alike. A recent arXiv publication from the University of Chicago’s Pritzker School of Molecular Engineering and Argonne National Laboratory highlights how magnetic fields in the body may be analyzed using quantum-enabled fluorescent proteins, with hopes of applying to cell formation or early disease detection.

Detecting subtle changes in magnetic fields may equate to beyond subtle impacts in certain fields. For instance, quantum sensors could be applied to the detection of electromagnetic anomalies in data centers, potentially revealing evidence of malicious tampering. Similarly, they might be used to study changes in the brain’s electromagnetic signals, offering insights into neurological diseases such as the onset of dementia. However, these applications demand sensors that are not only sensitive but also capable of operating reliably in real-world conditions.

Spin qubits, known for their notable sensitivity to magnetic fields, are introduced in the study as a compelling solution. Traditionally, spin qubits have been formed from nitrogen-vacancy centers in diamonds. While these systems have demonstrated remarkable precision, the diamonds’ bulky size in relation to molecules and complex surface chemistry limit their usability in biological environments. This creates a need for a more adaptable and biologically compatible sensor.

Using an analysis of a voluntary action caused by a visual perception, I suggest that the three fundamental characteristics of this perception (being conscious, self-conscious, and provided with a content) are neurologically implemented by three distinct higher order properties of brain dynamics. This hypothesis allows me to sketch out a physicalist naturalist solution to the mind-body problem. According to this solution, primary phenomenal consciousness is neither a non-physical substance, nor a non-physical property but simply the “format” that the brain gives to a part of its dynamics in order to obtain a fine tuning with its environment when the body acts on it.

The relationship between brain and computer is a perennial theme in theoretical neuroscience, but it has received relatively little attention in the philosophy of neuroscience. This paper argues that much of the popularity of the brain-computer comparison (e.g. circuit models of neurons and brain areas since McCulloch and Pitts, Bull Math Biophys 5: 115–33, 1943) can be explained by their utility as ways of simplifying the brain. More specifically, by justifying a sharp distinction between aspects of neural anatomy and physiology that serve information-processing, and those that are ‘mere metabolic support,’ the computational framework provides a means of abstracting away from the complexities of cellular neurobiology, as those details come to be classified as irrelevant to the (computational) functions of the system.