Each person has a specific brain "fingerprint", and that fingerprint changes over the course of our lives, a new study reports.
Children who embark on regular exercise have marked differences in brain structure, flexibility, organization, and have more robust neural networks than those who exercise less frequently.
Cortical thickness and regional brain connectivity pay an equally important role in linking brain and behavior.
The first MRI-based mapping of the squid brain yields 145 new connections and pathways, 60% of which are linked to the motor and visual systems. The new brain map brings researchers one step closer to understanding how the squid can instantly camouflage itself.
Researchers have developed a new framework that sheds new light on changes in the brain's activity and connections.
FlyEM, a team of scientists from Google and the Janelia Research Campus at Howard Hughes Medical Institute, has released the most complete map of the fly brain ever created. The map pinpoints millions of connections between 25,000 neurons. The researchers have made the data free online, along with all of the tools necessary to use it.
Individual variations define a specific structural fingerprint with a direct impact on the functional organization of individual brains. The findings stress the importance of using individual models to understand brain function.
Features of the functional connectome are present in the fetal brain during the second and third trimesters of pregnancy.
Researchers from the Developing Human Connectome Project have released over 500 brain scans from newborn babies as part of an open-source effort to allow other researchers to study human brain development.
Scientists generated statistical instances of the micro-connectome, containing over 10 million neurons. The model spans five orders of magnitude and contains 88 billion synaptic connections.
Combining infrared laser stimulation with ultra-high-field MRI, researchers revolutionize brain mapping.
Researchers are using big data and artificial intelligence to map neural networks in the brain. The new technology could help to better understand the progression of neurodegenerative diseases.
