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The article I read this week was called “Even brain images can be biased” by Bethany Brookshire (https://www.sciencenews.org/blog/scicurious/even-brain-images-can-be-biased?tgt=nr). This article addressed college students, university researchers, and mentions Kaja LeWinn, who is an epidemiologist at the University of California in San Francisco.  It goes onto talk about brain studies. It’s no surprise that college students are often used for scientific studies, especially when the researchers conducting them work at universities. It’s just convenient. It was also regarder that it didn’t matter who you chose for brain studying. A brain is a brain. Wrong. Recent findings have shown that studies of “rich, well-educated brains” may not be an accurate depiction for the majority of the American population. Who is being studied will affect brain imaging. LeWinn says, “The brain does not exist in a vacuum, destined to follow some predetermined developmental pathway without any deviation,” so to assume they’re all one and the same, is faulty for investigations. To try to remedy and prove this “ LeWinn and her colleagues turned to the Pediatric Imaging, Neurocognition and Genetics — or PING — study”. They found a brain study full of diversity. A 2010 census showed the American population as 70% white, 14% black, and 7.5% hispanic. The study by PING was “42 percent white, 10 percent black and 24 percent Hispanic, with a larger percentage of “other” or mixed-race participants”.  It showed different results and proved that it’s important to eliminate bias in any sort of study, not just of the brain. At the top of the article is an image of different brain scans with the caption, “Brain scan studies of large groups of people can tell us things about what the “average” brain looks like. But when the sample itself isn’t average, are the brains?”. This article was partly about neurological science and part about accurate scientific investigations, experiments, studies, etc. I chose it because, one, neurology is very interesting, and two, I think accuracy and diversity when conducting an investigation is very important to ensure accurate results. If researchers and university teachers are more aware of this, they can use it in their everyday teachings and studies to make sure that they’re as successful as possible. It’s important to do this, or else all of the data could be off. Incorporating this more will do a lot to make sure that all findings are as factual as possible.