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Read through the most famous quotes by topic #neurology
Recently, the search for what he calls "the splinters that make up different attention problems" has taken Castellanos in a new direction. First, he explains that your brain is far less concerned with your brilliant ideas or searing emotions than with its own internal "gyroscopic busyness," which consumes 65 percent of its total energy. Every fifty seconds, its activity fluctuates, causing what he calls a "brownout." No one knows the purpose of these neurological events, but Castellanos has a thesis: the clockwork pulses enable the brain's circuits to stay "logged on" and available to communicate with one another, even when they're not being used. "Imagine you're a cabdriver on your day off," Castellanos says. "You don't need to use your workday circuits on a Sunday, but to keep those channels open, your brain sends a ping through them every minute or so. The fluctuations are the brain's investment in maintaining its circuits online. ↗
Consider yourself. I want you to imagine a scene from your childhood. Pick something evocative... Something you can remember clearly, something you can see, feel, maybe even smell, as if you were really there. After all, you really were there at the time, weren't you? How else would you remember it? But here is the bombshell: you WEREN'T there. Not a single atom that is in your body today was there when that event took place. Every bit of you has been replaced many times over... The point is that you are like a cloud: something that persists over long periods, whilse simultaneously being in flux. Matter flows from place to place and momentarily comes together to be you. Whatever you are, therefore, you are not the stuff of which you are made. ↗
Some people with Tourette's have flinging tics- sudden, seemingly motiveless urges or compulsions to throw objects..... (I see somewhat similar flinging behaviors- though not tics- in my two year old godson, now in a stage of primal antinomianism and anarchy) ↗
In the statistical gargon used in psychology, p refers to the probability that the difference you see between two groups (of introverts and extroverts, say, or males and females) could have occurred by chance. As a general rule, psychologists report a difference between two groups as 'significant' if the probability that it could have occurred by chance is 1 in 20, or less. The possibility of getting significant results by chance is a problem in any area of research, but it's particularly acute for sex differences research. Supppose, for example, you're a neuroscientist interested in what parts of the brain are involved in mind reading. You get fifteen participants into a scanner and ask them to guess the emotion of people in photographs. Since you have both males and females in your group, you rin a quick check to ensure that the two groups' brains respond in the same way. They do. What do you do next? Most likely, you publish your results without mentioning gender at all in your report (except to note the number of male and female participants). What you don't do is publish your findings with the title "No Sex Differences in Neural Circuitry Involved in Understanding Others' Minds." This is perfectly reasonable. After all, you weren't looking for gender difference and there were only small numbers of each sex in your study. But remember that even if males and females, overall, respond the same way on a task, five percent of studies investigating this question will throw up a "significant" difference between the sexes by chance. As Hines has explained, sex is "easily assessed, routinely evaluated, and not always reported. Because it is more interesting to find a difference than to find no difference, the 19 failures to observe a difference between men and women go unreported, whereas the 1 in 20 finding of a difference is likely to be published." This contributes to the so-called file-drawer phenomenon, whereby studies that do find sex differences get published, but those that don't languish unpublished and unseen in a researcher's file drawer. ↗
