Articles tagged with Brain Activity Maps
Researchers at Rockefeller University have developed a new technique that captures the activity of an entire mouse brain in a single snapshot. This comprehensive view allows for robust and unbiased comparisons between active neuronal populations, enabling hypothesis generation about brain function.
Researchers at UW's I-LABS study body maps in infant brain, finding they develop early and relate to social connections and imitation. The findings shed light on how infants build sense of self and connect with others.
UT Arlington researchers used a portable brain-mapping device to show limited prefrontal cortex activity among student veterans with PTSD during simple memorization tasks. The study found significant improvement in brain function after treatment, enabling mental healthcare providers to tailor treatment plans.
Researchers have created the first maps of neural activity in behaving zebrafish, recording activity from single cells to entire brains. The study reveals stereotyped patterns of activity between individuals, enabling a functional atlas of the brain to be built.
Scientists at Queen Mary University of London developed a new technique to measure electrical activity in synapses, enabling three-dimensional visualisation of neuronal networks. This breakthrough opens a new window into understanding brain function at the nanometre scale.
The Brain Activity Mapping (BAM) Project seeks to develop tools for greater understanding of the brain's intricate networks, potentially leading to treatments for neurological diseases. Advances in nanoscience and nanotechnology hold promise for probing the brain at a nanoscale.
Researchers mapped brain activity in 892 cognitively normal individuals and found that Alzheimer's patients spend more time using certain roads and less time with others. This suggests that varying brain activity may reduce the risk of Alzheimer's disease, potentially through activities like exercise, education, and social connections.
Researchers at NTNU's Kavli Institute for Systems Neuroscience discovered that memory is divided into discrete packets, with each packet lasting around 125 milliseconds. The brain switches between these packets rapidly, allowing it to 'flip' between different maps of location and experience.
Researchers found that the brain uses different 'maps' to plan movements, depending on whether they are visually defined or performed in darkness. This discovery has important applications for robotics and developing machines to help paraplegics.
A new study published in Human Brain Mapping found that autistics are up to 40 percent faster at problem-solving than non-autistics, with improved perceptual abilities. The research used the Raven's Standard Progressive Matrices test to measure hypothesis-testing and learning skills.
Schizophrenia can be detected early by identifying physical markers in the brain, according to Prof. Talma Hendler's groundbreaking work on facial recognition and brain imaging. By analyzing brain activity in response to unusual emotional faces, researchers hope to develop more effective treatments.
Scientists have developed a novel technique for in vivo imaging of neuronal function using bioluminescence, enabling the monitoring of calcium activity in neurons or the brain as a whole. This approach has been validated by recording neurons in the ellipsoid body and demonstrates its sensitivity and ability to study all brain structures.
Researchers at Vanderbilt University have discovered that groups of brain cells synchronize their electrical activity to enhance orientation discrimination. By studying the firing rates of dozens of neurons, scientists found that synchronization among six neurons can discriminate variations in orientation as small as two degrees. This ...
A Carnegie Mellon statistics student has developed a method to mitigate noise in brain imaging, allowing for clearer pictures of brain activity. This technique could lead to more efficient experimental procedures and pave the way for more challenging experiments.
Researchers found that expert car viewers' ability to recognize cars interferes with face recognition, while novices do not. The study suggests a common neural circuitry for holistic object recognition, applicable to various objects, including faces and cars.
A recent study by Carnegie Mellon scientists discovered that reading and listening to identical sentences produce systematically different brain activation patterns. The right hemisphere was less active during reading, while the left-hemisphere's pars triangularis region showed increased activation in listening comprehension. This sugg...