Weekly Neuroscience Update

Microscopic photos observed through changes of the flourescence of the synapse sensor (SynapShot) by cultivating the neurons of an experimental rat and expressing the SynapShot. The changes in the synapse that is created when the pre- and post-synaptic terminals come into contact and the synapse that disappears after a certain period of time are measured by the fluorescence of the SynapShot. Credit: KAIST Optogenetics & RNA therapeutics Lab

New research has observed the processes of memory and cognition in real-time.

A new study reveals significant findings in the fight against Long Covid. Through a comprehensive analysis of blood serum from 113 patients, researchers discovered changes in blood serum proteins related to the complement system, coagulation, and tissue injury in Long Covid patients.

New research has found that exercising both before and after learning optimizes memory formation, with a notable 10% improvement in remembering motor skills.

A new study employs generative AI to shed light on how the human brain processes memories for learning, imagination, and planning. The study used a computational model resembling the hippocampus and neocortex’s neural networks to simulate memory encoding and retrieval.

A new study has reported that SARS-CoV-2, the virus that causes COVID, can infect dopamine neurons in the brain and trigger senescence—when a cell loses the ability to grow and divide.

Researchers have taken the first steps to treat Alzheimer’s disease, Parkinson’s disease and Type 2 diabetes by creating multiple patent-pending compounds shown to inhibit protein aggregation associated with those diseases.

A neuroscientific study is paving the way for improving the diagnosis and treatment of Alzheimer’s.

A new study reveals limitations in the current use of mathematical models for personalized medicine, particularly in schizophrenia treatment. Although these models can predict patient outcomes in specific clinical trials, they fail when applied to different trials, challenging the reliability of AI-driven algorithms in diverse settings.

Research into the nature of memory reveals how cells that store information are stabilized over time.

A new study explores how infants and toddlers acquire language. Findings reveal early comprehension begins around 6-7 months, and significant improvements in language understanding occur around a child’s first birthday.

New research looks at ways to predict when a migraine attack will occur.

Researchers at the National Institutes of Health have found overactivation in many brain regions, including the frontal and parietal lobes and the amygdala, in unmedicated children with anxiety disorders. They also showed that treatment with cognitive behavioral therapy (CBT) led to improvements in clinical symptoms and brain functioning.

An international research has proposed a new model for classifying Parkinson’s disease.

A ribbon of brain tissue called cortical gray matter grows thinner in people who go on to develop dementia, and this appears to be an accurate biomarker of the disease five to 10 years before symptoms appear, scientists report.

3D bioprinting sheds light on why blood vessel curvature may foster brain cancer metastasis.

Researchers achieved a significant advancement in robotics by replicating human-like variable speed walking using a musculoskeletal model. This model, steered by a reflex control method akin to the human nervous system, enhances our understanding of human locomotion and sets new standards for robotic technology.

There is a difference between how the brains of healthy older adults perceive color compared to younger adults, finds a new study.

Researchers conducted a study to explore the neuroscientific basis of fairness in social situations, investigating the interplay between personal interests and societal norms. By applying electric brain stimulation to 60 participants, the researchers pinpointed specific brain regions crucial to fairness decisions.

Finally this week, scientists have made a significant discovery using an artificial neural network model, suggesting that musical instinct may emerge naturally from the human brain.

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