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Category: neuroscience – Page 136

Imagine having telepathic conversations with loved ones, instantaneously accessing superhuman computational power, playing back memories and dreams, or immersing yourself and every sense you possess into a virtual entertainment experience. In the distant future, if brain-computer interfaces (BCIs) are successful at reading and writing information to the brain, and if humans adapt to the technology, we could experience some pretty amazing scenarios. But, there are many outstanding questions for how we could ensure a bright future: Who will own the data generated by our brains? Will brain data be bought and sold by data brokers like other personal information today? Will people be forced to use certain BCIs that surveil their brain activity (for example, to make sure you’re paying attention at work and school)? Will BCIs put peoples’ brains at risk of being hacked? As with all new technology, more of these philosophical questions will need to be investigated and answered before there is widespread adoption and use of BCIs in the future.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.274997 data-title= Are You Ready for Tech That Connects to Your Brain? data-url=/2020/09/are-you-ready-for-tech-that-connects-to-your-brain data-topic= Technology and analytics data-authors= Lauren Golembiewski data-content-type= Digital Article data-content-image=/resources/images/article_assets/2020/09/Sep20_28_3191098-383x215.jpg data-summary=

Who owns that data?

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Down syndrome (DS) is one of the most prevalent genetic disorders in humans. The use of new approaches in genetic engineering and nanotechnology methods in combination with natural cellular phenomenon can modify the disease in affected people. We consider two CRISPR/Cas9 systems to cut a specific region from short arm of the chromosome 21 (Chr21) and replace it with a novel designed DNA construct, containing the essential genes in chromatin remodeling for inactivating of an extra Chr21. This requires mimicking of the natural cellular pattern for inactivation of the extra X chromosome in females. By means of controlled dosage of an appropriate Nano-carrier (a surface engineered Poly D, L-lactide-co-glycolide (PLGA) for integrating the relevant construct in Trisomy21 brain cell culture media and then in DS mouse model, we would be able to evaluate the modification and the reduction of the active extra Chr21 and in turn reduce substantial adverse effects of the disease, like intellectual disabilities. The hypothesis and study seek new insights in Down syndrome modification.

Keywords: Down syndrome, CRISPR/Cas9, Designed DNA construct, Poly D L-lactide-co-glycolide (PLGA), Nano-carrier, Chromosome 21 inactivation.

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This spring, the Hastings Center Report added a new series of essays named after the field its pieces aim to explore. Neuroscience and Society produces open access articles and opinion pieces that address the ethical, legal, and societal issues presented by emerging neuroscience. The series will run roughly twice a year and was funded by the Dana Foundation to foster dynamic, sustained conversation among neuroscience researchers, legal and ethics scholars, policymakers, and wider publics.

The first edition of the series focuses on the topic of research studies and what is owed to people who volunteer to participate in clinical trials to develop implantable brain devices, such as deep-brain stimulators and brain-computer interfaces.

Imagine you have lived with depression for most of your life. Despite trying numerous medications and therapies, such as electroconvulsive therapy, you have not been able to manage your symptoms effectively. Your depression keeps you from maintaining a job, interacting with your friends and family, and generally prevents you from flourishing as a person.

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Here is an interview concerning the current AI and generative AI waves, and their relation to neuroscience. We propose solutions based on new technology from neuroAI – which includes humans ability for reasoning, thought, logic, mathematics, proof etc. – and are therefore poorly modeled by data analysis on its own. Some of our work – also with scholars – has been published, while more is to come in a spin-off setting.

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We present a novel model of neuroplasticity in the form of a horizontal-vertical integration model. The horizontal plane consists of a network of neurons connected by adaptive transmission links. This fits with standard computational neuroscience approaches. Each individual neuron also has a vertical dimension with internal parameters steering the external membrane-expressed parameters. These determine neural transmission.

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In a paper titled, “Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness,” published today in Science Translational Medicine, a group of researchers at Massachusetts General Hospital, a founding member of the Mass General Brigham healthcare system, and Boston Children’s Hospital, created a connectivity map of a brain network that they propose is critical to human consciousness.

The study involved high-resolution scans that enabled the researchers to visualize brain connections at submillimeter spatial resolution. This technical advance allowed them to identify previously unseen pathways connecting the brainstem, thalamus, hypothalamus, basal forebrain, and cerebral cortex.

Together, these pathways form a “default ascending arousal network” that sustains wakefulness in the resting, conscious human brain. The concept of a “default” network is based on the idea that specific networks within the brain are most functionally active when the brain is in a resting state of consciousness. In contrast, other networks are more active when the brain is performing goal-directed tasks.

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Summary: Researchers developed a groundbreaking model called Brain Language Model (BrainLM) using generative artificial intelligence to map brain activity and its implications for behavior and disease. BrainLM leverages 80,000 scans from 40,000 subjects to create a foundational model that captures the dynamics of brain activity without the need for specific disease-related data.

This model significantly reduces the cost and scale of data required for traditional brain studies, offering a robust framework that can predict conditions like depression, anxiety, and PTSD more effectively than other tools. The BrainLM demonstrates a potent application in clinical trials, potentially halving the costs by identifying patients most likely to benefit from new treatments.

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Depression and cardiovascular disease (CVD) are serious concerns for public health. Approximately 280 million people worldwide have depression, while 620 million people have CVD.

It has been known since the 1990s that the two diseases are somehow related. For example, people with depression run a greater risk of CVD, while effective early treatment for depression cuts the risk of subsequently developing CVD by half. Conversely, people with CVD tend to have depression as well. For these reasons, the American Heart Association (AHA) advises to monitor teenagers with depression for CVD.

What wasn’t yet known is what causes this apparent relatedness between the two diseases. Part of the answer probably lies in lifestyle factors common in patients with depression and which increase the risk of CVD, such as smoking, alcohol abuse, lack of exercise, and a poor diet. But it’s also possible that both diseases might be related at a deeper level, through shared developmental pathways.

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