The US Army and USC Prof Maryam Shanechi have developed an algorithm that can determine which specific behaviors—like walking and breathing—belong to specific brain signals. Segmenting brain signals has been notoriously difficult, as all signals associated with tasks mix together. Shanechi and her team used the algorithm to separate behaviorally relevant brain signals from behaviorally […]
Browsing Tag: Brain
Polymer improves medical implants, could enable brain-computer interface
David Martin and University of Delaware colleagues have developed a bio-synthetic coating for electronic components that could avoid the scarring (and signal disruption) caused by traditional microelectric materials. The PEDOT polymer improved the performance of medical implants by reducing their opposition to an electric current. Pedot film was used with an antibody to stimulate blood […]
Sensor platform detects dopamine in sweat; could be used for future treatment
Penn State’s Aida Ebrahimi and Maurico Terrones, RPI’s Humberto Terrones, and colleagues, have developed a highly sensitive, non-invasive wearable Dopamine sensor platform. The goal is the use of the technology to develop wearable sensors able to track and eventually treat conditions caused by too much (ie schizophrenia) or too little (ie Parkinson’s, depression) dopamine. The […]
Brain cholesterol map could lead to neurodegeneration therapies, help guide surgery
William Griffiths and Swansea University colleagues have developed a method to map cholesterol in the brain, and understand potential molecule conversion. This is the first technology that can map cholesterol metabolism in defined locations at microscopic levels, and visualize how it changes in pathological niches in the brain. While only studied on mice, the hope […]
Tattoo electrodes for long-term EEG, MEG measurements
Graz University professor Francesco Greco has built on his earlier work to create advanced inkjet printed conductive polymer electrodes on tattoo paper. The composition and thickness of the transfer paper and conductive polymer have been optimized to achieve a better electrode/skin connection and improve EEG signal quality. The cheap, user-friendly, dry electrodes have shown similar […]
Sniff test predicts consciousness recovery
Cambridge scientist Anat Arzi and Yaron Sacher of Israel’s Beit Lowenstein Rehabilitation Center have developed a simple olfactory consciousness test. In a study, 43 unconscious brain-injured pateients were presented with jars containing various smells under their noses. Scents included pleasant shampoo, unpleasant rotten fish, and no odor. Scientists measured the volume of air inhaled through […]
Facebook’s Mark Chevillet on Brain-Computer-Interfaces
Mark Chevillet’s recent talk at the ApplySci Silicon Valley conference, called “Imagining a new Interface: Hands-free Communication With Out Saying a Word” is now live on the ApplySci YouTube Channel. Join ApplySci at Deep Tech Health + Neurotech Boston on September 24, 2020 at MIT
Directional DBS system targets GPi to relieve Parkinson’s symptoms
Abbott received FDA approval for an expanded indication for its Deep Brain Stimulation system, to include targeting of internal globus pallidus. The GPi plays an integral role in motor function. When targeted with DBS, Parkonson’s symptoms not adequately controlled by medication can improve. The directed stimulation system is now approved for all major targets used […]
Injected nanoparticles could reduce TBI swelling
In what he believes might be the first “real and practical treatment for people with significant traumatic brain injury,” Northwestern’s John Kessler was able to significantly reduce brain swelling and damage by injecting nanoparticles into the bloodstream within two hours after the injury. The very promising technology has, so far, only been tested on mice. […]
New electrodes, brain signal analysis, for smaller, lower power, wireless BCI
Building on his prior brain-controlled prosthetic work, Stanford’s Krishna Shenoy has developed a simpler way to study brain electrical activity, which he believes will lead to tiny, low-power, wireless brain sensors that would bring thought-controlled prosthetics into much wider use. The method involved decoding neural activity in aggregate, instead of “spike sorting.” Spike sorting must be […]