Brain structure, amyloid, and behavioral features for predicting clinical progression in subjective cognitive decline

Author:

Liu Siwei12ORCID,Luo Xiao3ORCID,Chong Joanna Su Xian12ORCID,Jiaerken Yeerfan3,Youn Shim Hee12,Zhang Minming3ORCID,Zhou Juan Helen124ORCID,

Affiliation:

1. Centre for Sleep and Cognition Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore

2. Human Potential Translational Research Program Department of Medicine National University of Singapore Singapore Singapore

3. Department of Radiology, Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China

4. Department of Electrical and Computer Engineering Integrative Sciences and Engineering Programme (ISEP), NUS Graduate School National University of Singapore Singapore Singapore

Abstract

AbstractAs a potential preclinical stage of Alzheimer's dementia, subjective cognitive decline (SCD) reveals a higher risk of future cognitive decline and conversion to dementia. However, it has not been clear whether SCD status increases the clinical progression of older adults in the context of amyloid deposition, cerebrovascular disease (CeVD), and psychiatric symptoms. We identified 99 normal controls (NC), 15 SCD individuals who developed mild cognitive impairment in the next 2 years (P‐SCD), and 54 SCD individuals who did not (S‐SCD) from ADNI database with both baseline and 2‐year follow‐up data. Total white matter hyperintensity (WMH), WMH in deep (DWMH) and periventricular (PWMH) regions, and voxel‐wise grey matter volumes were compared among groups. Furthermore, using structural equation modelling method, we constructed path models to explore SCD‐related brain changes longitudinally and to determine whether baseline SCD status, age, and depressive symptoms affect participants' clinical outcomes. Both SCD groups showed higher baseline amyloid PET SUVR, baseline PWMH volumes, and larger increase of PWMH volumes over time than NC. In contrast, only P‐SCD had higher baseline DWMH volumes and larger increase of DWMH volumes over time than NC. No longitudinal differences in grey matter volume and amyloid was observed among NC, S‐SCD, and P‐SCD. Our path models demonstrated that SCD status contributed to future WMH progression. Further, baseline SCD status increases the risk of future cognitive decline, mediated by PWMH; baseline depressive symptoms directly contribute to clinical outcomes. In conclusion, both S‐SCD and P‐SCD exhibited more severe CeVD than NC. The CeVD burden increase was more pronounced in P‐SCD. In contrast with the direct association of depressive symptoms with dementia severity progression, the effects of SCD status on future cognitive decline may manifest via CeVD pathologies. Our work highlights the importance of multi‐modal longitudinal designs in understanding the SCD trajectory heterogeneity, paving the way for stratification and early intervention in the preclinical stage.Practitioner Points Both S‐SCD and P‐SCD exhibited more severe CeVD at baseline and a larger increase of CeVD burden compared to NC, while the burden was more pronounced in P‐SCD. Baseline SCD status increases the risk of future PWMH and DWMH volume accumulation, mediated by baseline PWMH and DWMH volumes, respectively. Baseline SCD status increases the risk of future cognitive decline, mediated by baseline PWMH, while baseline depression status directly contributes to clinical outcome.

Funder

National Institutes of Health

U.S. Department of Defense

National Medical Research Council

National Natural Science Foundation of China

Ministry of Education - Singapore

Publisher

Wiley

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