Study Of Serial Killer Brains
The Neuroscientist Who Discovered He Was a Psychopath While studying brain scans to search for patterns that correlated with. Nov 22, 2013. While studying brain scans to search for patterns that correlated with psychopathic behavior, James Fallon found that his own brain fit the profile. Image via James Fallon. One afternoon in October 2005, neuroscientist James Fallon was looking at brain scans of serial killers. As part of a research project.
(Newser) – In the latest 'men are from Mars, women are from Venus' debate, neuroscience jumps into the fray. In what deems the 'largest functional brain imaging survey ever,' researchers from California's Amen Clinics used a type of 3D imaging to determine that women's brains are decidedly more active than males' in many regions—especially in those that handle focus and self-control, as well as those that manage mood disorders, per a. The findings suggest a possible tie between the higher rates of Alzheimer's disease, depression, and anxiety disorders in women, as well as higher rates of ADHD and conduct-related issues in men, who are also more likely to be incarcerated. Scientists say the study is important in advancing our understanding of gender-based brain differences, which can then lead to better, more targeted treatment for various conditions down the road. The study, published in the, looked at more than 46,000 single photon emission computed tomography (SPECT) scans from 119 healthy subjects and more than 26,000 participants with various psychiatric conditions (including bipolar disorder and ADHD) to measure blood flow in 128 discrete regions of the brain, both at rest and immersed in a concentration task. Scientists observed increased blood flow in women to their prefrontal cortexes (the region that handles impulse control and concentration) and limbic areas (the mood and emotion managers), while men's visual and coordination centers lit up more than women's. 'The quantifiable differences we identified between men and women are important for understanding gender-based risk for brain disorders such as Alzheimer's disease,' lead author Daniel G.
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