News

Conventional optogenetics involves invasive implantation of optical fibers in target brain tissues. This is especially challenging for deep areas of the brain owing to extensive tissue damage. Now, researchers have finally overcome this challenge by using X-rays to penetrate deep regions of the brain.

Amyotrophic lateral sclerosis (ALS) is a rapidly progressive and fatal degenerative disease affecting the nerve cells in the brain and spinal cord responsible for controlling voluntary muscle movement. Researchers have found a possible starting point for the dysfunction that causes the disease.

Researchers have developed a “dimmer switch” system that can control levels of proteins expressed from gene therapy vectors. The system is based on alternative RNA splicing and works effectively in tissues throughout the body, including the brain.

A meta-analysis of nearly 200,000 men has revealed 22 new genetic locations that could be susceptible to inherited testicular germ cell tumors, a 40% increase in the number of known regions associated with the cancer.

A pilot study from North Carolina State University has found that a gene associated with autism spectrum disorder (ASD) and pain hypersensitivity may actually decrease itch response.

According to a study, rainfall variability over wet regions globally will be greatly enhanced by global warming, causing wide swings between dry and wet conditions.

Scientists have used advanced imaging technology to provide an unprecedented understanding of the BRCA1-BARD1 protein complex, which is often mutated in patients with breast or ovarian cancer.

Researchers have developed a tool that can evaluate the potential contribution of all possible mutations in a gene in a given type of tumor to the development and progression of cancer.

A team of neuroscientists and engineers has released a collection of data that marries a 3D wiring diagram with the function of tens of thousands of neurons to create the most detailed examination of mammalian brain circuitry to date.

A team is using artificial intelligence to identify factors that accurately predict suicidal behavior in students.