Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification
نویسندگان
چکیده
منابع مشابه
Identification of mild cognitive impairment disease using brain functional connectivity and graph analysis in fMRI data
Background: Early diagnosis of patients in the early stages of Alzheimer's, known as mild cognitive impairment, is of great importance in the treatment of this disease. If a patient can be diagnosed at this stage, it is possible to treat or delay Alzheimer's disease. Resting-state functional magnetic resonance imaging (fMRI) is very common in the process of diagnosing Alzheimer's disease. In th...
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Recently, brain connectivity networks have been used for classification of Alzheimer's disease and mild cognitive impairment (MCI) from normal controls (NC). In typical connectivity-networks-based classification approaches, local measures of connectivity networks are first extracted from each region-of-interest as network features, which are then concatenated into a vector for subsequent featur...
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Whether the balance between integration and segregation of information in the brain is damaged in Mild Cognitive Impairment (MCI) subjects is still a matter of debate. Here we characterize the functional network architecture of MCI subjects by means of complex networks analysis. Magnetoencephalograms (MEG) time series obtained during a memory task were evaluated by synchronization likelihood (S...
متن کاملConstructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment
Human brain functional connectivity (FC) networks, estimated based on resting-state functional magnetic resonance imaging (rs-fMRI), has become a promising tool for imaging-based brain disease diagnosis. Conventional loworder FC network (LON) usually characterizes pairwise temporal correlation of rs-fMRI signals between any pair of brain regions. Meanwhile, high-order FC network (HON) has provi...
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Background: Cognitive impairment profoundly influences on older adults’ activities and quality of life. Therefore, optimizing and remediating age-associated cognitive decline have great importance. Objectives: To evaluate the effect of 8 weeks (3 day /week) computer based brain training on cognitive performance in old women with Mild Cognitive Impairment (MCI). Materials and Methods...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2021
ISSN: 1662-453X
DOI: 10.3389/fnins.2021.669345