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A new study has shown that food-seeking cells exist in a part of a mouse’s brain usually associated with panic — but not with feeding. Activating a selective cluster of these cells kicked mice into ‘hot pursuit’ of live and non-prey food, and showed a craving for fatty foods intense enough that the mice endured foot shocks to get them, something full mice normally would not do. If true in humans, who also carry these cells, the findings could help address the circuit that can circumvent the normal hunger pressures of ‘how, what and when to eat.’

People who find themselves rummaging around in the refrigerator for a snack not long after they’ve eaten a filling meal might have overactive food-seeking neurons, not an overactive appetite.

UCLA psychologists have discovered a circuit in the brain of mice that makes them crave food and seek it out, even when they are not hungry. When stimulated, this cluster of cells propels mice to forage vigorously and to prefer fatty and pleasurable foods like chocolate over healthier foods like carrots.

Certain RNA molecules in the nerve cells in the brain last a life time without being renewed. Neuroscientists from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) have now demonstrated that this is the case together with researchers from Germany, Austria and the USA. RNAs are generally short-lived molecules that are constantly reconstructed to adjust to environmental conditions. With their findings that have now been published in the journal Science, the research group hopes to decipher the complex aging process of the brain and gain a better understanding of related degenerative diseases.

Most cells in the human body are regularly renewed, thereby retaining their vitality. However, there are exceptions: the heart, the pancreas and the brain consist of cells that do not renew throughout the whole lifespan, and yet still have to remain in full working order. “Aging neurons are an important risk factor for neurodegenerative illnesses such as Alzheimer’s,” says Prof. Dr. Tomohisa Toda, Professor of Neural Epigenomics at FAU and at the Max Planck Center for Physics and Medicine in Erlangen. “A basic understanding of the aging process and which key components are involved in maintaining cell function is crucial for effective treatment concepts:”

In a joint study conducted together with neuroscientists from Dresden, La Jolla (USA) and Klosterneuburg (Austria), the working group led by Toda has now identified a key component of brain aging: the researchers were able to demonstrate for the first time that certain types of ribonucleic acid (RNA) that protect genetic material exist just as long as the neurons themselves. “This is surprising, as unlike DNA, which as a rule never changes, most RNA molecules are extremely short-lived and are constantly being exchanged,” Toda explains.

The Food and Drug Administration has approved a blood test to detect concussion that produces results in minutes rather than hours — a breakthrough that could help expedite treatment for service members with traumatic brain injuries, according to the U.S. Army and Abbott Laboratories, the…

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“This can help get the most severely injured service members to neurosurgeons faster and ultimately save lives,” Lt. Col. Bradley Dengler, neurosurgical consultant to the U.S. Army Office of the Surgeon General, said in a release.

Continue reading “Newly Approved Rapid Blood Test for Traumatic Brain Injury Could Speed Up Treatment for Troops” »

If you reward a monkey with some juice, it will learn which hand to move in response to a specific visual cue—but only if the cerebellum is functioning properly. So say neuroscientists at the University of Pittsburgh School of Medicine and Columbia University, who recently published findings in Nature Communications that show the brain region plays a crucial role in reward-based learning.

A combination of advances in magnetic resonance imaging to help track the movement of fluids in the brain and supercomputer-powered simulations are modifying our understanding of cognitive decline.

A theory of consciousness should capture its phenomenology, characterize its ontological status and extent, explain its causal structure and genesis, and describe its function. Here, I advance the notion that consciousness is best understood as an operator, in the sense of a physically implemented transition function that is acting on a representational substrate and controls its temporal evolution, and as such has no identity as an object or thing, but (like software running on a digital computer) it can be characterized as a law. Starting from the observation that biological information processing in multicellular substrates is based on self organization, I explore the conjecture that the functionality of consciousness represents the simplest algorithm that is discoverable by such substrates, and can impose function approximation via increasing representational coherence. I describe some properties of this operator, both with the goal of recovering the phenomenology of consciousness, and to get closer to a specification that would allow recreating it in computational simulations.

The world’s most powerful MRI machine has started proving its worth, by scanning living human brains. The resulting images give an ultra high resolution glimpse into the brain, which will help us better understand the nature of consciousness and treat neurodegenerative diseases.

Developed by the French Alternative Energies and Atomic Energy Commission (CEA), the Iseult MRI machine packs a magnetic field strength of 11.7 Teslas (T). By comparison, conventional MRI machines in wide use in hospitals today are usually 1.5 or at most 3 T.

Continue reading “World’s most powerful MRI machine captures first stunning brain scans” »

Global workspace theory of consciousness.

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Recent research published in Nature Communications from the Nuffield Department of Clinical Neurosciences at the University of Oxford has identified 15 modifiable risk factors for dementia, and of those diabetes, alcohol intake, and traffic-related air pollution are the most harmful.

Previous research from this group revealed an area of weakness in the brain of a specific network of higher-order regions that only develop later in adolescence but also display earlier degeneration in old age, and they showed that this brain network is particularly vulnerable to Alzheimer’s disease and schizophrenia. This study investigated genetic and modifiable influences on these regions by utilizing data from the UK Biobank.

Continue reading “Risk Factors For Faster Brain Aging” »