Self-reported cognitive decline was associated with altered functional connectivity in the hippocampus and dorsal anterior insular, a new study reports.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··5 min read
Combining neuroimaging data with machine learning technology, researchers discover children with well-connected brain hubs have either very specific cognitive problems, such as poor listening skills, or no cognitive difficulties at all. Children with poorly connected hubs have widespread and severe cognitive difficulties.
Researchers have developed a new method of measuring axons using MRI neuroimaging.
Study shows how brain networks unique to each child can predict cognition. Using a combination of neuroimaging data and machine learning, researchers reveal functional neuroanatomy can vary greatly among children and is refined during development.
Entropy during consciousness is higher than during unconscious states.
Higher intelligence was associated with higher temporal stability of brain network modularity. Brain regions of the dorsal attention network contributed most to the observed effect.
As people age, the brain networks associated with cognition become less efficient at information transfer and more vulnerable to disturbance.
Researchers report brain stimulation to different parts of a specific brain network can change perceptions of free will.
Researchers have identified specific brain networks that helps us associate objects with their names. The study sheds light on how the brain connects meaning to words and could help explain why people with neurodegenerative diseases often have problems naming every day objects.
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Researchers use machine learning technology to identify brain based dimensions of mental health disorders.