Altered structural covariance of hippocampal subregions in patients with Alzheimer’s disease

• Published in: Behavioural brain research 2021-07, Vol.409, p.113327-113327, Article 113327
• Main Authors: Chu, Tongpeng, Li, Jian, Zhang, Zhongsheng, Gong, Peiyou, Che, Kaili, Li, Yuna, Zhang, Gang, Mao, Ning
• Format: Article
• Language: English
• Subjects: Aged; Aged, 80 and over; Alzheimer Disease - pathology; Atrophy - pathology; Cognitive; Female; Graph theory; Gray Matter - pathology; Hippocampus - pathology; Hippocampus subregions; Humans; Magnetic Resonance Imaging; Male; Nerve Net - pathology; Neuroimaging - methods; Structural covariance network
• ISSN: 0166-4328; 1872-7549
• DOI: 10.1016/j.bbr.2021.113327

•The structural covariance of twelve hippocampal subregions was constructed.•Changes in the network attributes of the patients with AD were fully explained at the level of hippocampus subregions.•Our results provide evidence for future study of the neurobiological mechanisms of cognitive decline in patients with AD. Different atrophy of hippocampus subregions is a valuable indicator of patients with Alzheimer’s disease (AD). To explore the relationship among the hippocampal subregions of patients with AD, altered gray matter structural covariance of hippocampal subregions in patients with AD was studied. Participants were selected from the Open Access Series of Imaging Studies Database. Pearson correlations among the volume of the hippocampal subregions were generated as structural covariance network. Topological metrics for all selected sparsity ranges were calculated in the healthy controls (HCs) and patients with AD by using the GRETNA software package. Spearman correlation analysis was performed to statistically analyze the volume and Mini-mental State Examination (MMSE) scores of the hippocampal subregions of the patients with AD, with age and gender as interference covariates and corrected for false discovery rate (FDR) (p