Neurofeedback has the potential to alleviate symptoms of "brain fog" and cognitive impairments associated with chemotherapy.
Deep brain stimulation applied to a small brain area associated with reward and motivation resulted in metabolic brain changes over 12 months post-implantation and alleviated some symptoms of depression for those with treatment-resistant depression.
Researchers have developed a new sensor that allows scientists to image the brain without missing signals for an extended period of time and deeper in the brain than current technology allows.
Those who are prone to motion sickness have a harder time adapting to cybersickness and different virtual reality environments. However, people can adapt to the effects of VR-associated cybersickness by playing the same game repeatedly.
While neuroimaging may be a standard in neuroscience and psychology research, a new study says researchers are massively underestimating how large the study sample must be for a neuroimaging study to produce reliable findings.
Researchers have developed a cornea implant from the collagen protein of pig skin. The implant restored the vision of 20 people with diseased corneas. The new implant could be a viable alternative to human cornea transplantation.
A new collection of articles explores mapping brain overexcitability that underpins the dysregulation of vigilance, sleep-wake cycles, and validating effective biomarkers for Alzheimer's disease.
Combining electrical stimulation with sounds that activate the somatosensory cortex could help bring relief to those suffering from chronic pain and other neurological conditions.
Researchers discuss different applications for neurotech including monitoring criminals, interacting in the metaverse, and enhancing cognitive abilities.
Researchers say they have created the most bio-realistic and complex computer models of individual brain cells.
Using ultrasound technology for brain imaging may be less harmful and more cost-effective than other current neuroimaging methods.
A new robotic system can learn directly from human interaction videos and generalize the information at the task being completed. This makes the robot well suited to learn household chores effectively and efficiently.
