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Cerebellar inhibitory interneurons are essential for fear memory, a type of emotional memory formation. Inhibitory interneurons within the cerebellar circuitry act as gatekeepers and control the output of the cerebellar cortex.

With a revolutionizing novel system that combines brain organoid technology and intricate genetics, researchers can now comprehensively test the effect of multiple mutations in parallel and at a single-cell level within human brain organoids.

The targeted use of ultrasound technology can bring about significant changes in brain function that could pave the way towards treatment of conditions such as depression, addiction, or anxiety, a new study suggests.

The EU-funded Human Brain Project (HBP) comes to an end in September and celebrates its successful conclusion today with a scientific symposium at Forschungszentrum Jülich (FZJ).

A new study has uncovered how circuits within the brain work to produce the body’s own cannabinoids in order to cope with stressful experiences and opens up new possibilities for the development of drugs for stress-related psychiatric disorders.

A new study based on survey data has identified four types of women with different levels of positive and negative body image and has linked each to different diet and exercise patterns.

Having a hobby is linked to fewer depressive symptoms and higher levels of happiness, self-reported health and life satisfaction among people aged 65 and over, and this holds true across 16 countries on three continents.

The discovery of a previously unknown molecular target has inspired what may become a therapeutic breakthrough for people with glioblastoma, the most common and aggressive brain cancer.

Investigators found evening ‘chronotype,’ or going to bed late and waking up late, was associated with a 19 percent increased risk of diabetes after accounting for lifestyle factors.

Antibody treatments may be able to activate the immune system to fight diseases but are less effective when they bind with themselves. Now, new machine-learning algorithms can highlight problem areas in antibodies.