Alterations in the cerebral neural network could function as a biomarker for the early diagnosis of mild cognitive impairment, Alzheimer's disease, and Lewy Body dementia.
Study compares two forms of cognitive training used to help those with mild cognitive impairment to improve memory and learning.
A new machine-learning algorithm is able to accurately detect cognitive impairment by analyzing voice recordings.
Study reveals a bi-directional link between daytime napping and cognitive decline associated with Alzheimer's disease. Researchers say longer, more frequent napping was associated with worse cognition after one year, and worse cognition was linked to longer and more frequent daytime naps.
Living life with a sense of purpose was associated with a reduced risk of developing Alzheimer's disease and other dementias later in life. Researchers found a sense of purpose was associated with a 19% reduced rate of clinically significant cognitive impairment.
A new AI algorithm can predict the onset of Alzheimer's disease with an accuracy of over 99% by analyzing fMRI brain scans.
People diagnosed with Alzheimer's or mild cognitive impairment had weaker gamma wave activation in their brains than their peers without the neurodegenerative disorders.
A new algorithm that combines naturalistic driving data with machine learning is 88% accurate at predicting mild cognitive impairment and dementia in older adults.