Abstract #1547
Resting-state Functional connectivity to differentiate Mild Cognitive Impairment, Alzheimer's disease, and Normal subjects
Fatemeh Mohammadian1, Maryam Noroozian2, Arash Zare Sadeghi3, Hanieh Mobarak Salari4, Hassan Hashemi5, and Hamid Reza Saligheh Rad1,6
1Department of Medical physics and Biomedical Engineering, Tehran university of medical sciences, TEHRAN, Iran (Islamic Republic of), 2Department of Psychiatry, Tehran university of medical sciences, TEHRAN, Iran (Islamic Republic of), 3Iran University of Medical Sciences, TEHRAN, Iran (Islamic Republic of), 4Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, TEHRAN, Iran (Islamic Republic of), 5Tehran university of medical sciences, TEHRAN, Iran (Islamic Republic of), 6Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of)
Synopsis
Millions of people around the world suffer from Alzheimer's disease (AD), the most common neurodegenerative disease. Due to the progressive cognitive decline of the disease, early diagnosis can play an important role in the treatment and prevention of disease progression. Because functional and physiological changes occur before structural changes, functional imaging-based biomarkers such as Functional connectivity (FC) can show these changes well.
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