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Ethnographic Analysis Of The Brain

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The brain is a complex organ of soft nervous tissue in the skull of vertebrates. It is one of the largest and most complex organs in the body. Information is continuously being processed and transferred to other interdependent regions within the brain. The anatomical connection probabilities (ACP) between cortical and subcortical brain gray matter areas are estimated from diffusion-weighted Magnetic Resonance Imaging (DW-MRI) techniques to assess the probability of any given two areas. Those areas are connected by at least a single nervous fiber which conduct nerve impulses. Current resting-state fMRI studies have correlated the inter-regional functional connectivity exhibiting a small-world topology, signifying an arrangement in the brain
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Paul Thompson in the article “Startling Finds on Teenage Brains” , claims that 14 year old Brazil, charged in last May’s shooting of middle school teacher Gunrow, was found guilty of second degree murder. Paul Thompson supports his by first explaining that Brazil was only 12 when the incident happen. He then says since he was only 12 , his brain was and still is not fully developed. Lastly the author says ,” teenagers are not yet adults , and the legal system shouldn’t treat them as such. Thompson’s purpose is to get the world to know , if children are not yet adults, why are they being treated like one in the legal system in order to stop it.

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In “Startling Finds on Teenage Brains,” Paul Thompson--a neuroscientist at UCLA--argues that minors should not be sentenced as adults because their brains are not the same as adults’ brains. Even though Thompson believes that minors should be held accountable for their crimes, he presents evidence from recent studies to explain the differences between the brains of minors and adults. It is not surprising that Thompson uses logical evidence to defend his position, given that he is a scientist. However, Thompson frequently uses emotional persuasion--or pathos--to convince his readers that sentencing minors as adults is both unjust and uninformed. Through his use of structure and emotionally charged language, Thompson attempts to convince readers

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Can you imagine an iron rod going through your head and surviving? Phineas Gage lived for 11 years after having the unfortunate brain injury. (chap 1, para 2)In the novel A Gruesome but True Story About Brain Science by John Fleischman we learn about Phineas’s behavior changes. After the brain injury he is still alive, but he acts differently. That is similar to adolescents because their brains are still developing, and their actions are very similar to his.

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“Oh wow, what a smart child!” This is a statement that deceivingly seems inconsequential on the surface. However, once one digs below the surface, as Carol S. Dweck did in “Brainology: Transforming Students’ Motivation to Learn,” one can see that having a certain mindset can be a determining factor of whether or not a child will be able to become successful. Dweck believes that a praise (similar to the type mentioned before) cause students to have a certain mindset on the way smartness functions, consequently affecting their work ethic. TO elaborate, she claims they either have one of two mindsets; a growth mindset, which is when a student believes they obtain knowledge by working hard; or a fixed mindset which is when a student believes everyone has a set level of smartness they have to live up to.

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The first main aspect that the author approaches is brain connectivity and genetic. The author approaches this topic with strong research examples and facts which provide a verifying source for the content. Brogaard cites several different studies throughout the article such as a study at the University of Wisconsin, Madison. By using others research and data, this leads me to trust the information given.

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We all would like to forget something but is not as simple as that shapes your existence. In “The Attic of the Brain” by Lewis Thomas talks about how humans want to control every aspect of the brain. He states “There is no delusion more damaging than to get the idea in your head that you understand the functioning of your own brain.” Essentially is only a delusion humans have and can never hope to achieve and only will hurt us, while this may be true or not who’s to say. He also talks about how we may want to “to take charge, guiding your thoughts”, like to repress some our memories like in a “trapdoor”.

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Imagine going to school and really succeeding; you understand everything, you’re getting good grades and all the praise you can dream of from your parents and teachers. But then you move up and things get harder, you don’t understand everything, your grades are dropping and you are scared that you will no longer get that praise. You have two options, you can either take on the challenge and get back to where you used to be, or you can sit down when you feel threated by the hard work. In “Brainology” by author Carol S. Dweck, we are shown research concerning those two options or “mindsets” and how we can change them.

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Abstract — Brain magnetic resonance (MR) segmentation algorithms are critical to analyze tissues and diagnose edema and tumor in a quantitative way. The primary aim of brain image segmentation is to partition a given brain image into different regions representing anatomical structures. In this paper, we present a new effective segmentation algorithm that segments brain MR images into tumor, edema, white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). The detection of the healthy tissues and the diseased tissues are performed for examining the change caused by the spread of tumor and edema on healthy tissues is very important for treatment planning. We developed an algorithm for skull stripping before the segmentation process.

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This high contrast resolution is very useful in brain imaging. In spite of these advantages MR also has its own limitations as it provides the user with gross macroscopic details but for abnormalities are only visible when it reaches the anatomical scale. This limitation of MRI has led to the widespread use of diffusion weighted imaging and diffusion tensor

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