Hierarchical Subcortical Sub-Regional Shape Network Analysis in Alzheimer's Disease. (16th December 2017)

• Record Type: Journal Article
• Authors: Li, Jingyuan; Gong, Yujing; Tang, Xiaoying
• Is Part Of: Neuroscience. Volume 366(2017)
• Page Start: 70
• Page End: 83
• Publication Date: 2017-12-16
• Subjects: AD Alzheimer's disease -- ADNI Alzheimer's Disease Neuroimaging Initiative -- CDR-SB clinical dementia rating scale sum of boxes -- dMRI diffusion Magnetic Resonance Imaging -- FDR false discovery rate -- fMRI functional Magnetic Resonance Imaging -- GM gray matter -- HC healthy control -- LDDMM large deformation diffeomorphic metric mapping -- MMSE mini-mental state examination -- MRI magnetic resonance imaging -- PCC partial correlation coefficient -- ROIs regions of interest -- sMRI structural Magnetic Resonance Imaging; brain morphology network -- subcortical structures -- shape network -- sub-region -- surface deformation -- Alzheimer's disease; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2017.10.011
• Languages: English
• ISSNs: 0306-4522

Abstract

Highlights: Significant abnormalities existed in the subcortical shape network of AD, at both the structure and the sub-region levels. The network abnormalities were mainly on the global and local efficiencies. The right thalamus served as a key role in the graph composed of the 14 subcortical and ventricular structures. Connectivity abnormalities were detected in AD between different sub-regions of the right hippocampus. A degradation of circuit between the hippocampus, thalamus, and temporal lobe was found in AD. Abstract: In this paper, by utilizing surface diffeomorphic deformations, we constructed and analyzed subcortical shape morphometric networks in 210 healthy control (HC) subjects and 175 subjects with Alzheimer's disease (AD), aiming to identify AD-induced abnormalities in the subcortical shape network. We quantitatively analyzed pertinent network attributes of the entire network and each node. Further to this, hierarchical analyses were performed; group comparisons were conducted at the structure level first and then the sub-region level. The bilateral amygdalae, hippocampi, as well as the thalamus were all divided into multiple functionally distinct sub-regions. From the structure level analysis, we found significant HC-vs-AD group differences in the average local efficiency and average global efficiency. In addition, the local nodal efficiencies between the right thalamus and all three of the right hippocampus, right amygdala, and left thalamus, as well as that between the left amygdala and left hippocampus, decreased significantly in AD. According to the sub-regional network analyses, we observed significant AD-induced local efficiency decreases between different sub-regions within the right hippocampus itself and between the subiculum of the right hippocampus and the sub-region of the right thalamus connecting to the temporal lobe, indicating a degradation of circuit between the hippocampus, thalamus, and temporal lobe. Statistical comparisons were performed using 40, 000 non-parametric permutation tests, with false discovery rate correction employed for multiple comparison correction.