Map of Brain Networks Extracting from Resting- State fMRI in Alzheimer’s Disease, Amnestic Mild Cognitive Impairment, and Normal Aging Subjects Fatemeh Mohammadian Department of Medical Physics and BioMedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran  Maryam Noroozian Department of Psychiatry Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran  Arash Zare Sadeghi Medical Ph

Mohammadian, Fatemeh; Noroozian, Maryam; Zare Sadeghi, Arash; Hashemi, Hassan; Mobarak Salari, Hanieh; Sodaei, Forough; Salighehrad, Hamid Reza

doi:10.22034/icrj.2023.179777

Map of Brain Networks Extracting from Resting- State fMRI in Alzheimer’s Disease, Amnestic Mild Cognitive Impairment, and Normal Aging Subjects Fatemeh Mohammadian Department of Medical Physics and BioMedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran Maryam Noroozian Department of Psychiatry Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran Arash Zare Sadeghi Medical Ph

Authors

¹ Department of Medical Physics and BioMedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

² Department of Psychiatry Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran

³ Medical Physics Department Iran University of Medical Sciences, Tehran, Iran

⁴ Tehran University of Medical Sciences

⁵ Quantitative Medical Imaging Spectroscopy Group, Tehran University of Medical Science, Tehran, Iran

⁶ Tehran University of Medical Sciences

⁷ Quantitative MR Imaging and Spectroscopy Group Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences

10.22034/icrj.2023.179777

Abstract

Purpose:
Evaluation of the resting-state brain networks map in Alzheimer’s disease, amnestic mild cognitive impairment, and normal aging subjects.
Methods:
The resting-state functional Magnetic Resonance Imaging data of 13 patients with Alzheimer’s disease, 16 patients with amnestic mild cognitive impairment, and 14 normal aging subjects were evaluated using functional
connectivity analysis. Preprocessing steps were realignment, slice timing correction, segmentation, co-registration, normalization, and functional smoothing. In the second-level measurement, ROI-ROI/seed-based analysis using bivariate correlation coefficient and Fisher z-transformation was performed.
Results:
Using parametric statistics (cluster threshold: p < 0.05 p-False Discovery Rate corrected; voxel threshold: p < 0.001 p-uncorrected) group differences were found between Alzheimer’s disease and normal aging and also between Alzheimer’s disease and amnestic mild cognitive impairment. Using parametric multivariate statistics (cluster threshold: p < 0.05 p-False Discovery Rate corrected; connection threshold: p < 0.05 p-uncorrected), differences were found in the map of the three groups. No significant difference was found between the two groups of normal and amnestic mild cognitive impairment.
Conclusions:
The map of statistical correlation in the resting-state brain network (matrix display) of the three groups was different (The number of positive and negative correlations and the strength of connections between the nodes of the resting-state networks differed). Also, seed- based functional connectivity analysis and the resulting spatial map showed differences between Alzheimer’s disease - amnestic mild cognitive impairment and Alzheimer’s disease
- normal aging groups.

Volume 38, Issue 4
October 2023
Pages 209-209

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