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Tiny single-celled critters obviously don’t have room for a brain to tell them how to move in complex ways, so to get about, they usually roll, slither or swim.

But microscopic pond dwellers called Euplotes eurystomus have mastered a way to walk brainlessly – scurrying about like insects, with their 14 little appendages.

They appear to move a bit like the Dutch-designed kinetic sculptures called Strandbeasts, with clockwork-like connections cycling them through a pattern of set states that can be adjusted in response to their environment.

The mechanisms underlying decision-making have been a long-standing focus of neuroscience research. But now, researchers from Japan have found new information about how the reward system in the brain processes risky decisions.

In a study recently published in Nature Communications, researchers from the University of Tsukuba have revealed that individual neurons in the that processes reward information fire in accordance with a well-established theory used to describe the process.

First proposed in the 1970s, prospect theory is a highly influential concept used to describe how people and animals make choices. Although this theory has been supported by thousands of studies, limitations in the temporal and spatial resolution of human neuroimaging techniques have prevented researchers from determining whether the activity of individual neurons follows this pattern, something that the researchers at the University of Tsukuba aimed to address.

Summary: Proteins associated with motor neuron disease, or ALS are present in the gut many years before disease pathologies can be found in the brain. A stool sample or gut biopsy could help identify the presence of MND-associated proteins years before symptoms appear.

Source: University of Aberdeen.

The same proteins thought to contribute to motor neuron disease can be found in the gut many years before any brain symptoms occur, a new study by the University of Aberdeen has found.

Circa 2018 face_with_colon_three


“This data set—and the opportunities it creates—are … arguably one of the most important things to have happened in neurobiology recently,” says Rachel Wilson, a neurobiologist at Harvard University who was not involved in the new work. “Anyone in the world who is interested can download the data set and determine whether any two neurons … talk to each other.”

The 100,000-neuron fruit fly brain is elementary compared with the roughly 100 billion neurons in our own skulls. But the fly is still “much more than this little speck that you swat away from your wine glass over dinner,” says Davi Bock, a neuroscientist at the Howard Hughes Medical Institute’s Janelia Research Campus in Ashburn, Virginia. Some systems in the fly brain—like those responsible for detecting and remembering smells—likely share “common principles” with those in humans, he says.

To make out features of individual synapses, where a signal from one neuron travels to another, Bock and colleagues used an electron microscope, which can resolve much finer detail than a traditional light microscope. They soaked a fly’s brain in a solution containing heavy metals, which bind to the membranes of neurons and to proteins at the synapses. That made the brain look like a wad of noodles, each dark on the outside but white on the inside, Bock explains. Then, a diamond knife cut the brain into about 7,000 slices, each of which was struck with a beam of electrons from the microscope to create an image.

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This is not a knock on caffeine by any means. There’s a reason people have been consuming it for thousands of years. It works by blocking the neurotransmitters in the brain that produce drowsiness. This keeps your neurons firing at full speed, which makes you feel awake. And studies show it is very effective at boosting mood. But what if you could do more for your brain than simply tricking it into being awake? What if you could give your brain nutrients that help it work better all the time? Well, with a well-designed nootropics supplement, you can.

Nootropics are often marketed as “smart drugs,” which gives the impression that they’re going to boost your IQ and turn you into a rocket scientist or brain surgeon. But that is not actually the case. Nootropics are simply chemical compounds that help create the biological conditions necessary for optimal brain function. They include things like amino acids, vitamins, minerals, nutrients, and even stimulants such as caffeine. Some of these compounds serve as fuel for cognition. Others modulate various processes involved in neurotransmission.

Short cycles of a low-calorie diet that mimics fasting appeared to lower inflammation and delay cognitive decline in Alzheimer’s.

Alzheimer’s disease is a disease that attacks the brain, causing a decline in mental ability that worsens over time. It is the most common form of dementia and accounts for 60 to 80 percent of dementia cases. There is no current cure for Alzheimer’s disease, but there are medications that can help ease the symptoms.

Self-organizing lumps of human brain tissue grown in the laboratory have been successfully transplanted into the nervous systems of newborn rats in a step towards finding new ways to treat neuropsychiatric disorders.

The 3D organoids, developed from stem cells to resemble a simplified model of the human cortex, connected and integrated with the surrounding tissue in each rat’s cortex to form a functional part of the rodent’s own brain, displaying activity related to sensory perception.

This, according to a team of researchers led by neuroscientist Sergiu Pașca of Stanford University, overcomes the limitations of dish-grown organoids, and gives us a new platform for modeling human brain development and disease in a living system.

In The Analysis of Matter (1927) Bertrand Russell defended a couple of theses that amounted to a novel approach to the mind-body problem. Similar claims were defended by Eddington in his Gifford lectures of the same year. This approach was forgotten about in the latter half of the twentieth century, perhaps because it didn’t fit with the physicalist predilections of the period. However, it has recently been rediscovered, leading to a view – or better a school of views – known as ‘Russellian monism.’ Russellian monism is increasingly seen as a promising middle way between dualism and physicalism, avoiding the problems associated with either of these extremes. In this lecture, I explain the basic idea.

Fluid intelligence (gf) refers to abstract reasoning and problem solving abilities. It is considered a human higher cognitive factor central to general intelligence (g). The regions of the cortex supporting gf have been revealed by recent bioimaging studies and valuable hypothesis on the neural correlates of individual differences have been proposed. However, little is known about the interaction between individual variability in gf and variation in cortical activity following task complexity increase. To further investigate this, two samples of participants (high-IQ, N = 8; low-IQ, N = 10) with significant differences in gf underwent two reasoning (moderate and complex) tasks and a control task adapted from the Raven progressive matrices. Functional magnetic resonance was used and the recorded signal analyzed between and within the groups. The present study revealed two opposite patterns of neural activity variation which were probably a reflection of the overall differences in cognitive resource modulation: when complexity increased, high-IQ subjects showed a signal enhancement in some frontal and parietal regions, whereas low-IQ subjects revealed a decreased activity in the same areas. Moreover, a direct comparison between the groups’ activation patterns revealed a greater neural activity in the low-IQ sample when conducting moderate task, with a strong involvement of medial and lateral frontal regions thus suggesting that the recruitment of executive functioning might be different between the groups. This study provides evidence for neural differences in facing reasoning complexity among subjects with different gf level that are mediated by specific patterns of activation of the underlying fronto-parietal network.