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People may soon use virtual reality to treat their depression and to be less critical and more compassionate towards themselves, a new study shows. A new virtual reality therapy has effectively reduced depressive symptoms of patients with some reporting significant drop in depression severity.

In the study, published in the British Journal of Psychiatry Open, patients claim virtual reality therapy changed their response to real-life situations in which they would previously have been self-critical.

The findings come from the analysis of the effect of the therapy to 15 depression patients, aged 23 to 61. Researchers, from University College London (UCL) and ICREA-University of Barcelona, asked the participants to wear a virtual reality headset to see from the perspective of a life-size “avatar” or virtual body.

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Very interesting since many complex neural diseases also have ties to the brain stem such as Dystonia.


Feb. 22, 2016 — There is a new ground zero for Alzheimer’s Disease, according to a new discovery of a critical but vulnerable region in the brain that appears to be the first place affected by late onset Alzheimer’s disease. It also may be more important for maintaining cognitive function in later life than previously appreciated.

The locus coeruleus is a small, bluish part of the brainstem that releases norepinephrine, the neurotransmitter responsible for regulating heart rate, attention, memory, and cognition. Its cells, or neurons, send branch-like axons throughout much of the brain and help regulate blood vessel activity, says a new review of the scientific literature.

Its high interconnectedness may make it more susceptible to the effects of toxins and infections compared to other brain regions, said lead author Mara Mather.

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I knew it! Now, we have proof; FB is addicting like cocaine.


Facebook impacts the brain in a similar way to cocaine, gambling and other substance and compulsive addictions, says a new study.

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Facebook stimulates parts of brain in ways similar to cocaine

Cocaine, gambling, trading can involve incredible highs – and lows. The quest for the rush of excitement, the feeling of invincible confidence and shear ecstasy can turn from an occasional habit to a daily need, as appears to be the case with “the social network.”

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On the heels of the MindMaze round of $100 million, it is clear that Swiss tech is booming and beginning to tickle the curiosity of international investors.

The startup had already closed an angel funding round of $10 million and recently announced the opening of their Series A round at a $1 billion valuation. The lead investor is multinational conglomerate Hinduja Group, with participation from family offices that haven’t been disclosed yet.

MindMaze is a neuro-rehabilitation platform that helps stroke victims to recover faster by “fooling” the brain through VR/AR technology.

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Good news for chocolate lovers: eating the sweet treat has been found to have a positive association with cognitive performance, according to a new study.

Published in the journal Appetite, researchers used data collected from a Maine-Syracuse Longitudinal Study (MSLS), in which 968 people aged between 23 and 98 were measured for dietary intake and cardiovascular risk factors, as well as cognitive function.

The researchers found that regularly eating chocolate was significantly associated with cognitive function “irrespective of other dietary habits”.

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Whether in the brain or in code, neural networks are shaping up to be one of the most critical areas of research in both neuroscience and computer science. An increasing amount of attention, funding, and development has been pushed toward technologies that mimic the brain in both hardware and software to create more efficient, high performance systems capable of advanced, fast learning.

One aspect of all the efforts toward more scalable, efficient, and practical neural networks and deep learning frameworks we have been tracking here at The Next Platform is how such systems might be implemented in research and enterprise over the next ten years. One of the missing elements, at least based on the conversations that make their way into various pieces here, for such eventual end users is reducing the complexity of the training process for neural networks to make them more practically useful–and without all of the computational overhead and specialized systems training requires now. Crucial then, is a whittling down of how neural networks are trained and implemented. And not surprisingly, the key answers lie in the brain, and specifically, functions in the brain and how it “trains” its own network that are still not completely understood, even by top neuroscientists.

In many senses, neural networks, cognitive hardware and software, and advances in new chip architectures are shaping up to be the next important platform. But there are still some fundamental gaps in knowledge about our own brains versus what has been developed in software to mimic them that are holding research at bay. Accordingly, the Intelligence Advanced Research Projects Activity (IARPA) in the U.S. is getting behind an effort spearheaded by Tai Sing Lee, a computer science professor at Carnegie Mellon University’s Center for the Neural Basis of Cognition, and researchers at Johns Hopkins University, among others, to make new connections between the brain’s neural function and how those same processes might map to neural networks and other computational frameworks. The project called the Machine Intelligence from Cortical Networks (MICRONS).

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Great progress by Institute of the McGill University Health Centre has study astrocytes (the star shape brain cells) which play fundamental roles in nearly all aspects of brain function, could be adjusted by neurons in response to injury and disease.


A research team, led by the Research Institute of the McGill University Health Centre (RI-MUHC) in Montreal, has broken new ground in our understanding of the complex functioning of the brain. The research, which is published in the current issue of the journal Science, demonstrates that brain cells, known as astrocytes, which play fundamental roles in nearly all aspects of brain function, could be adjusted by neurons in response to injury and disease. The discovery, which shows that the brain has a far greater ability to adapt and respond to changes than previously believed, could have significant implications on epilepsy, movement disorders, and psychiatric and neurodegenerative disease.

Astrocytes are star-shaped cells in our brain that surround brain neurons, and neural circuits, protecting them from injury and enabling them to function properly – in essence, one of their main roles is to ‘baby-sit’ neurons. Our brain contains billions of cells, each of which need to communicate between each other in order to function properly. This communication is highly dependent on the behaviour of astrocytes. Until now, the mechanisms that create and maintain differences among astrocytes, and allow them to fulfill specialized roles, has remained poorly understood.

“It was believed that astrocytes acquired their properties during the development of the brain and then they were hardwired in their roles,” says senior study’s author Dr. Keith Murai, director of the Centre for Research in Neuroscience at the RI-MUHC, associate professor of the Department of Neurology and Neurosurgery at McGill University. “We have now discovered that astrocytes are actually incredibly flexible and potentially modifiable, which enables them to improve brain function or restore lost potential caused by disease.’’

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