Lifeboat Foundation

Images of thousands of Purkinje cells reveal that almost all human cells have multiple primary dendrites. These structures, when observed in mice, facilitate connections with multiple climbing fibers originating from the brain stem.

In 1906, the Spanish researcher Santiago Ramón y Cajal received the Nobel Prize for his trailblazing exploration of the microscopic structures of the brain. His renowned illustrations of Purkinje cells within the cerebellum depict a forest of neuron structures, with multiple large branches sprouting from the cell body and splitting into beautiful, leaf-like patterns.

Despite these early portrayals showing multiple dendrites branching out from the cell body, the enduring consensus among neuroscientists is that Purkinje cells possess only a single main dendrite that forms a connection with a lone climbing fiber originating from the brain stem. However, a recent study from the University of Chicago, recently published in the journal Science, reveals that Cajal’s sketches were indeed accurate — practically all Purkinje cells in the human cerebellum have multiple primary dendrites.

Psilocybin has antidepressant-like effects and can improve cognitive function in a rat model of depression induced by chronic stress, according to new research published in Psychedelic Medicine. The findings provide new insights into the potential therapeutic applications of psychedelic substances and highlight the need for further research in this area to fully comprehend the underlying mechanisms.

Psilocybin is a naturally occurring psychedelic compound found in certain species of mushrooms, often referred to as “magic mushrooms” or “shrooms.” In recent years, there has been a growing interest in studying psilocybin and other psychedelics for their potential therapeutic effects. Psychedelics have shown promising rapid and persistent antidepressant effects in humans and animals. However, the exact mechanism behind these effects is not fully understood.

To investigate the cellular and molecular mechanisms responsible for the antidepressant effects of psychedelics, the researchers used an appropriate animal model of depression. They chose a chronic stress-based model for greater translational value, as chronic stress is known to be a significant factor in depression. They specifically focused on female rats, as women are more susceptible to depression than men.

New research sheds light on a tricky idea of consciousness: There’s a difference between what the brain takes in and what we’re consciously aware of taking in.

Scientists now think they’ve pinpointed the brain region where that conscious awareness is managed.

The team, from the Hebrew University of Jerusalem in Israel and the University of California, Berkeley (UC Berkeley), in the US, found sustained brain activity in the occipitotemporal area of the visual cortex in the back of the brain.

Neurons are the cells that constitute neural circuits and use chemicals and electricity to receive and send messages that allow the body to do everything, including thinking, sensing, moving, and more. Neurons have a long fiber called an axon that sends information to the subsequent neurons. Information from axons is received by branch-like structures that fan out from the cell body, called dendrites.

Dendritic refinement is an important part of early postnatal brain development during which dendrites are tailored to make specific connections with appropriate axons. In a recently published paper, researchers present evidence showing how a mechanism within the neurons of a rodent involving the Golgi apparatus initiates dendritic refinement with the help of the neuronal activity received by a receptor of a neurotransmitter called N-methyl-D-aspartate-type glutamate receptor (NMDAR).

The paper was published in Cell Reports on July 28.

How is ongoing visual experience represented neurally? Vishne et al. decode images lasting different durations from intracranial electrophysiology, uncovering distinct representation dynamics across the human brain: sustained and stable in occipitotemporal cortex and transient in frontoparietal areas. This sheds light on the spatiotemporal correlates of experience encoding by the brain.

UCLA Health researchers have published the largest-ever study of families with at least two children with autism, uncovering new risk genes and providing new insights into how genetics influence whether someone develops autism spectrum disorder.

The new study, published July 28 in the Proceedings of the National Academy of Sciences, also provides genetic evidence that language delay and dysfunction should be reconsidered as a core component of autism.

Most genetic studies of autism have focused on families with one child affected by the neurodevelopmental disorder, sometimes excluding families with multiple affected children. As a result, few studies have examined the role of rare inherited variation or its interaction with the combined effect of multiple common genetic variations that contribute to the risk of developing autism.

The STAR party’s vision for Canada includes the research and development of self sustainable Mobile Airborne Cities; or Airborne Arcologies. Being an obviously semi-long term goal, the objective would be to at first, allocate budgeting towards research and development of components to build this project in a phased manner… and the scaling of the project as technology allows for it.

Phase I: research and development of scalable micro-prototypes.

Phase II: multiple prototype development / testing stages.

Continue reading “Complex brain cell connections in the cerebellum more common than believed” »

An important, but lesser known, neurotransmitter is at the heart of our constant negative thinking.

Researchers from the Tokyo University of Science recently published a study in the journal Artificial Life and Robotics where they explored how machine learning can help detect deception.

Machine learning is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to learn and improve from experience without being explicitly programmed. In other words, it is a method of teaching computers to perform specific tasks by learning from data, patterns, and examples, rather than relying on pre-defined rules.

Detecting deception can be important in various situations, like questioning crime victims or suspects and interviewing patients with mental health issues. Sometimes, human interviewers might struggle to ask the right questions or spot deception accurately.