Using stem cell-derived BrainSpheres, also known as ‘mini-brains’, researchers have detected harmful side effects of a common antidepressant drug on the developing brain. This novel model for drug testing could provide a good alternative to traditional animal testing.
Machine-learning techniques have identified variability among the brain networks of children, which could help inform personalized treatments for psychiatric disorders.
Characteristic differences in brain structure could be associated with life-course-persistent antisocial behavior, according to a study comparing brain scans of short- and long-term offenders.
Researchers have determined that inhibiting the oligomerization of β-arrestin-2 suppresses tau protein accumulation in a mouse model of dementia.
As a step toward neuromorphic computers, researchers have developed a novel device designed to mimic the neural pathways of brain cells used for human vision.
Researchers have revealed that stimulation of the central lateral thalamus of macaques under anesthesia caused the animals to behave as if they were awake, indicating its poential role in consciousness.
A machine-learning algorithm may be able to predict individual treatment response to sertraline, a commonly prescribed antidepressant medication.
An initial analysis of the international Phase II/III trial (DIAN-TU) evaluating solanezumab and gantenerumab in people in the early stages of a rare and inherited form of Alzheimer’s disease has yielded disappointing results.
A recent study has reported that Parkinson’s can be distinguished from multiple system atrophy using new technology known as protein misfolding cyclic amplification.
Activation of group 2 innate lymphoid cells has been demonstrated to reduce age-related cognitive decline in mice. They could represent a new therapeutic target for the treatment of neurocognitive diseases.