Aberrant functional connectivity network in subjective memory complaint individuals relates to pathological biomarkers

Kaicheng Li, Xiao Luo, Qingze Zeng, Yeerfan Jiaerken, Xiaojun Xu, Peiyu Huang, Zhujing Shen, Jingjing Xu, Chao Wang, Jiong Zhou,

Translational Neurodegeneration · 2018 · 50 citations · 56 references

DOIFull text

Open access

Concepts

Abstract

BACKGROUND: Individuals with subjective memory complaints (SMC) feature a higher risk of cognitive decline and clinical progression of Alzheimer's disease (AD). However, the pathological mechanism underlying SMC remains unclear. We aimed to assess the intrinsic connectivity network and its relationship with AD-related pathologies in SMC individuals. METHODS: We included 44 SMC individuals and 40 normal controls who underwent both resting-state functional MRI and positron emission tomography (PET). Based on graph theory approaches, we detected local and global functional connectivity across the whole brain by using degree centrality (DC) and eigenvector centrality (EC) respectively. Additionally, we analyzed amyloid deposition and tauopathy via florbetapir-PET imaging and cerebrospinal fluid (CSF) data. The voxel-wise two-sample T-test analysis was used to examine between-group differences in the intrinsic functional network and cerebral amyloid deposition. Then, we correlated these network metrics with pathological results. RESULTS: . However, no significant between-group difference existed in EC and cerebral amyloid deposition. CONCLUSION: We found impaired local, but not global, intrinsic connectivity networks in SMC individuals. Given the relationships between DC value and tau level, we hypothesized that functional changes in SMC individuals might relate to pathological biomarkers.

References

56