Recent quotes:

Q&A With 'The Performance Cortex' Author On Neuroscience In Sports

But the problem — and this is what the teams were kind of stuck on — is that it takes 40 minutes or so. That’s a barrier that, at this point, you can’t really get around. If you’re going to actually get anything out of the technology and get any usable information, you need to have this rigorous approach. You can’t just stick a guy in an EEG, have him in front of a laptop and see 10 pitches. You’re not going to get anything out of that. So it takes time. Teams at this point are so afraid of burdening the players with any extracurricular activities. That was an issue. Until the point where the neuroscience technology gets to be so easy to use and relatively [burden]-free where you can wear it while walking around, I think that’s going to be a hard barrier for entry. Or it’s just going to take a team to say we’re willing to have our players sacrifice some time for what we might be able to get out of it.

Neuroscientists discover a brain signal that indicates whether speech has been understood -- ScienceDaily

To test if human brains actually compute the similarity between words as we listen to speech, the researchers recorded electrical brainwave signals recorded from the human scalp -- a technique known as electroencephalography or EEG -- as participants listened to a number of audiobooks. Then, by analysing their brain activity, they identified a specific brain response that reflected how similar or different a given word was from the words that preceded it in the story. Crucially, this signal disappeared completely when the subjects either could not understand the speech (because it was too noisy), or when they were just not paying attention to it. Thus, this signal represents an extremely sensitive measure of whether or not a person is truly understanding the speech they are hearing, and, as such, it has a number of potential important applications.

Can Big Data Help Psychiatry Unravel the Complexity of Mental Illness? - Scientific American

Psychiatrist Charles DeBattista of Stanford University and colleagues, compared electroencephalograms (EEGs) collected from depressed patients, with a database of EEGs from over 1,800 patients that included information about response to specific treatments. Using EEG measures to guide decisions about treatment alternatives led to significantly better outcomes than clinical treatment selection.