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 Rad^1,6

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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