Nathan Intrator on epilepsy, AI, and digital signal processing | ApplySci @ Stanford

Nathan Intrator discussed epilepsy, AI and digital signal processing at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University:

Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Mary Lou Jepsen – George ChurchRoz PicardNathan IntratorKeith JohnsonJuan EnriquezJohn MattisonRoozbeh GhaffariPoppy Crum

Neurofeedback alters brain plasticity in PTSD

1. Tel Aviv University paper   2. Schulich School of Medicine paper

Professor Ruth Lanius and colleagues at Western University’s Schulich School of Medicine have published a study showing that neurofeedback can improve subjective wellbeing in PTSD, potentially leading to new treatment options. Schulich researchers claim that this is “the first study to show that key brain networks involved in mediating affect and cognition in PTSD can be volitionally modulated via neurofeedback, with measurable outcomes on subjective well-being. It was achieved by harnessing multiple imaging techniques, including EEG and fMRI. Using fMRI we captured the patients’ resting-state brain activity just before and after a 30-minute neurofeedback training session, which was carried out outside the scanner using EEG. We then searched for any differences in connectivity within well-known brain networks. Interestingly, we discovered significant correlations between EEG and fMRI network activities as well as changes in self-reported calmness. This indicated that neurofeedback was able to directly modulate the brain bases of emotional processing in PTSD.”

A group at the Functional Brain Center at Tel Aviv University is trying to achieve similar results using EEG neurofeedback only.  Yehudit Meir-Hasson, Professor Talma HendlerProfessor Nathan Intrator and colleagues published a recent paper demonstrating the validation of an emotional EEG fingerprint with fMRI in the journal NeuroImage.

EEG patch monitors attention in students,7340,L-3619747,00.html,7340,L-3620186,00.html

Professor Nathan Intrator of Tel Aviv University’s Blavatnik School of Computer Science and Sagol School of Neuroscience, and Guy Levi, Chief Innovation Officer of Israel’s Center for Educational Technology are disrupting education through brain science.

In an attempt to improve learning abilities in children with attention issues, Intrator and Levi attach a patch to student’s foreheads to measure brain activity during lessons.  The learning process can then be adapted to their skills and needs. A student’s lack of attention is identified and better methods or times for delivery of information are suggested.

Through advanced signal processing, Intrator uses a patch with three electrodes to extract information about attention and cognitive strategies.

This less obtrusive approach allows widespread use of EEG in diagnostic studies. Intrator’s current focus includes attention, dementia, and sleep.

Bats use of sonar applied in medical ultrasound machines

Bat sonar has long had an edge over man-made sonar and ultrasound devices, but scientists are working to decrease that gap. Nathan Intrator of Tel Aviv University’s Blavatnik School of Computer Science, in collaboration with Brown University’s Jim Simmons, created mathematical models that improve our understanding of the ultrasound process.

“Animals explore pings with multiple filters or receptive fields, and we have demonstrated that exploring each ping in multiple ways can lead to higher accuracy,” Intrator said. “By understanding sonar animals, we can create a new family of ultrasound systems that will be able to explore our bodies with more accurate medical imaging.”