Evidence map›Paper›PMID 38958401›Full record

ArticleHuman brain mapping2024

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

Siwei Liu, Xiao Luo, Joanna Su Xian Chong, Yeerfan Jiaerken, Shim Hee Youn, Minming Zhang, Juan Helen Zhou, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Siwei LiuCentre for Sleep and Cognition, Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-1277-484X
Xiao LuoDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-1743-7842
Joanna Su Xian ChongCentre for Sleep and Cognition, Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0009-0008-5077-5206
Yeerfan JiaerkenDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shim Hee YounCentre for Sleep and Cognition, Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Minming ZhangDepartment of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-0145-7558
Juan Helen ZhouCentre for Sleep and Cognition, Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-0180-8648
Alzheimer's Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Human White Matter Tract Mapping by Diffusion MRIR01AG020012 · NIA · JOHNS HOPKINS UNIVERSITY · PI MORI, SUSUMU · 2001 to 2011
$4.1M
DoD Alzheimer's Disease Neuroimaging Initiative (Department of Defense) W81XWH-12-2-0012Ministry of Education, Singapore MOE-T2EP20220-0001Ministry of Education, Singapore MOE-T2EP40120-0007Ministry of Education, Singapore T2EP2-0223-0025National Medical Research Council, Singapore CIRG21nov-0007National Medical Research Council, Singapore HLCA23Feb-0004National Medical Research Council, Singapore NMRC/CG/435M009/2017-NUH/NUHSNational Medical Research Council, Singapore NMRC/CIRG/1485/2018National Medical Research Council, Singapore NMRC/CSA-SI/0007/2016National Medical Research Council, Singapore NMRC/MOH-00707-01National Medical Research Council, Singapore NMRC/OFLCG19May-0035National Natural Science Foundation of China 82271936NIA NIH HHS U01 AG024904Research, Innovation and Enterprise (RIE) 2020 Advanced Manufacturing and Engineering (AME) Programmatic Fund (Agency for Science, Technology and Research (A*STAR), Singapore) A20G8b0102Yong Loo Lin School of Medicine Research Core Funding (National University of Singapore, Singapore)Zhejiang Provincial Administration of Traditional Chinese Medicine - Youth Talent Fund Project 2022ZQ057
6 · The paper itself

Abstract

As 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.

Indexed as

Cognitive DysfunctionDisease ProgressionMagnetic Resonance ImagingPositron-Emission TomographyAgedAged, 80 and overBrainDepressionDiagnostic Self EvaluationFemaleGray MatterHumansLongitudinal StudiesMaleWhite MatterAlzheimer's diseaseamyloid depositiondepressionsubjective cognitive declinewhite matter hyperintensities

Identifiers

PMID38958401
PMCPMC11220833

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.