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[Articles & News] A 100-hour MRI scan captured the most detailed look yet at a whole human brain

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Post time: 10-7-2019 13:29:52
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A device recently approved by the U.S. FDA made extremely precise images of a postmortem sampleOver 100 hours of scanning has yielded a 3-D picture of the whole human brain that’s more detailed than ever before. The new view, enabled by a powerful MRI, has the resolution potentially to spot objects that are smaller than 0.1 millimeters wide.“We haven’t seen an entire brain like this,” says electrical engineer Priti Balchandani of the Icahn School of Medicine at Mount Sinai in New York City, who was not involved in the study. “It’s definitely unprecedented.”The scan shows brain structures such as the amygdala in vivid detail, a picture that might lead to a deeper understanding of how subtle changes in anatomy could relate to disorders such as post-traumatic stress disorder.   To get this new look, researchers at Massachusetts General Hospital in Boston and elsewhere studied a brain from a 58-year-old woman who died of viral pneumonia. Her donated brain, presumed to be healthy, was preserved and stored for nearly three years.Before the scan began, researchers built a custom spheroid case of urethane that held the brain still and allowed interfering air bubbles to escape. Sturdily encased, the brain then went into a powerful MRI machine called a 7 Tesla, or 7T, and stayed there for almost five days of scanning.The strength of the 7T, the length of the scanning time and the fact that the brain was perfectly still led to the high-resolution images, which are described May 31 at bioRxiv.org. Associated videos of the brain, as well as the underlying dataset, are publicly available.

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Rhett_Bassard + 9 Thnx for using YT feature available in CM postings. Smart.
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Post time: 10-7-2019 15:07:02
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With advanced instruments, science is progressing further and further.
Hope they would be able to find some path breaking solutions or advanced breakthroughs in neural science with this study.
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Post time: 18-7-2019 17:04:35
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Groundbreaking research. Probably further research will also focus on the neural networks.
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