Tag Archives: medical

About – NeuroKitchen Arts Collective

Woo-woo neo-pseudoBuddhism.  But it’s got “Neuro” in the title!

Source: About – NeuroKitchen Arts Collective


Annals Graphic Medicine – She Never Woke UpShe Never Woke Up | Annals of Internal Medicine


A lovely and moving comic by William Doan originally published in the Annals of Internal Medicine.


Source: Annals Graphic Medicine – She Never Woke UpShe Never Woke Up | Annals of Internal Medicine

#Neuroscience of #Chicago #Cubs Fans – YouTube

C2ST Artist in Residence Aaron Freeman pretends to interview Stanford University Neurobiology professor Robert Sapolsky on the difference between the brains of Chicago Cubs fans and those of lesser beings.  According to Sapolsky part of the difference may have  to do with higher sustained levels of the neurotransmitter dopamine.

When I threatened to shoot Chicago Police #blacklivesmatter

All lives matter. This is a story from long, long ago.

I’ve never shot or shot at any human being. This is the tale of a threatening phone call my mom told me to make in 1969 when I was 13 years old.

I LOVE the police, especially the ones here in Highland Park and Highwood Illinois. I get scared when I see a light top car in my rear view mirror. But when on my front porch with my bride I am reassured to see a marked car cruise by. We always smile and wave.

Wikipedia – Rage – http://go.shr.lc/1KyXKdd
The Amygdala in 5 Minutes w/Prof Joseph LeDoux http://go.shr.lc/1KyXKdd
The Physiology of Anger – http://go.shr.lc/1KyXYkB

Why #Neuroscience Needs Hackers


By Daniel Goodwin | Aug 18, 2015 – There was a time when neuroscientists could only dream of having such a problem. Now the fantasy has come true, and they are struggling to solve it. Brilliant new exploratory devices are overwhelming the field with an avalanche of raw data about the nervous system’s inner workings. The trouble is that even starting to make sense of this bonanza of information has become a superhuman challenge.

Just about every branch of science is facing a similar disruption. As laboratory-bench research migrates into the digital realm, programming is becoming an indispensable part of the process. At the same time, previously dependable sources of financial support are drying up. The result has been a painful scarcity of jobs and grants—which, in turn, is impelling far too many gifted researchers to focus on their narrow areas of specialization rather than investing time and energy into acquiring new, computer-age skills. In fields where data growth is especially out of control, such as neuroscience, the demand for computer expertise is growing as quickly as the information itself.


Two New Studies Explore the #Neuroscience of Negative Emotions #Iwishicouldforget


We’ve all had experiences we’d prefer not to remember. That’s especially true for people who have gone through a traumatic event such as childhood abuse, combat-related PTSD, or a bad accident. But there may be positive health applications for identifying, predicting, and retrieving negative emotions in the brain, according to two new studies.

In the first, Luke Chang, assistant professor of psychology and brain sciences at Dartmouth, identified a brain pattern under fMRI imaging that can predict a “neural signature of negative emotion.” In the study, recently published in PLOS Biology, Chang and his fellow researchers showed 183 participants pulled from the general population negative photos ranging from bodily injuries to human feces, as well as neutral photos. Thirty additional participants were subjected to painful heat.

Researchers identified the different networks in the brain that all work together during a participant’s negative emotional experience, which they call a “brain signature.” Then, they used machine-learning algorithms to find global patterns of brain activity that best predicted the participants’ responses. “What we’re calling a ‘brain signature’ is basically a configuration—a brain pattern that is predictive of a state,” Chang tells mental_floss. He compares the process to the way that Netflix predicts who is watching a certain type of show based on the watcher’s choices in programming. READ MORE