An accelerated degeneration of white matter microstructure and networks in the nondemented old–old. (30th September 2022)

• Record Type: Journal Article
• Authors: Zhao, Haichao; Wen, Wei; Cheng, Jian; Jiang, Jiyang; Kochan, Nicole; Niu, Haijun; Brodaty, Henry; Sachdev, Perminder; Liu, Tao
• Is Part Of: Cerebral cortex. Volume 33:Number 8(2023)
• Page Start: 4688
• Page End: 4698
• Publication Date: 2022-09-30
• Subjects: cognitive aging -- old-old -- structural network -- white matter connectivity; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhac372
• Languages: English
• ISSNs: 1047-3211

Abstract

Abstract: The nondemented old–old over the age of 80 comprise a rapidly increasing population group; they can be regarded as exemplars of successful aging. However, our current understanding of successful aging in advanced age and its neural underpinnings is limited. In this study, we measured the microstructural and network-based topological properties of brain white matter using diffusion-weighted imaging scans of 419 community-dwelling nondemented older participants. The participants were further divided into 230 young–old (between 72 and 79, mean = 76.25 ± 2.00) and 219 old–old (between 80 and 92, mean = 83.98 ± 2.97). Results showed that white matter connectivity in microstructure and brain networks significantly declined with increased age and that the declined rates were faster in the old–old compared with young–old. Mediation models indicated that cognitive decline was in part through the age effect on the white matter connectivity in the old–old but not in the young–old. Machine learning predictive models further supported the crucial role of declines in white matter connectivity as a neural substrate of cognitive aging in the nondemented older population. Our findings shed new light on white matter connectivity in the nondemented aging brains and may contribute to uncovering the neural substrates of successful brain aging.