Quantitative Assessment of Resting‐State Functional Connectivity MRI to Differentiate Amnestic Mild Cognitive Impairment, Late‐Onset Alzheimer’s Disease From Normal Subjects




Alzheimer disease (AD) is a neurological disorder with brain network dysfunction. Investigation of the brain network functional connectivity (FC) alterations using resting‐state functional MRI (rs‐fMRI) can provide valuable information about the brain network pattern in early AD diagnosis.
To quantitatively assess FC patterns of resting‐state brain networks and graph theory metrics (GTMs) to identify potential features for differentiation of amnestic mild cognitive impairment (aMCI) and late‐onset AD from normal.
Study Type
A total of 14 normal, 16 aMCI, and 13 late‐onset AD.
Field Strength/Sequence
A 3.0 T; rs‐fMRI: single‐shot 2D‐EPI and T1‐weighted structure: MPRAGE.
By applying bivariate correlation coefficient and Fisher transformation on the time series of predefined ROIs’ pairs, correlation coefficient matrixes and ROI‐to‐ROI connectivity (RRC …

Resting-State Functional Connectivity MRI, Amnestic Mild Cognitive Impairment, Late-Onset Alzheimer's Disease

Fatemeh Mohammadian, Arash Zare Sadeghi, Maryam Noroozian, Vahid Malekian, Majid Abbasi Sisara, Hasan Hashemi, Hanieh Mobarak Salari, Gelareh Valizadeh, Fardin Samadi, Forough Sodaei, Hamidreza Saligheh Rad

Journal of Magnetic Resonance Imaging
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