Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification

Brain functional connectivity (FC) extracted from resting‐state fMRI (RS‐fMRI) has become a popular approach for diagnosing various neurodegenerative diseases, including Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Current studies mainly construct the FC ne...

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Vydáno v:	Human brain mapping Ročník 38; číslo 10; s. 5019 - 5034
Hlavní autoři:	Chen, Xiaobo, Zhang, Han, Zhang, Lichi, Shen, Celina, Lee, Seong‐Whan, Shen, Dinggang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States John Wiley & Sons, Inc 01.10.2017 John Wiley and Sons Inc
Témata:	Alzheimer's disease Brain Brain - diagnostic imaging Brain - physiopathology Brain Mapping Cerebrovascular Circulation - physiology Classification Cognitive ability Cognitive Dysfunction - classification Cognitive Dysfunction - diagnostic imaging Cognitive Dysfunction - physiopathology Diagnosis Diagnosis, Computer-Assisted - methods Diffusion Tensor Imaging Feature extraction functional connectivity functional correlation tensor Functional magnetic resonance imaging Gray Matter - diagnostic imaging Gray Matter - physiopathology Humans Learning algorithms Machine Learning Magnetic Resonance Imaging - methods Mathematical analysis mild cognitive impairment Neural networks Neural Pathways - diagnostic imaging Neural Pathways - physiopathology Neurodegenerative diseases Neuroimaging Neurological diseases Oxygen - blood Oxygenation resting‐state fMRI Segments Sensitivity and Specificity Substantia alba Substantia grisea Tensors White Matter - diagnostic imaging White Matter - physiopathology mild cognitive impairment functional connectivity functional correlation tensor resting-state fMRI Alzheimer's disease
ISSN:	1065-9471, 1097-0193, 1097-0193
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