Can construct specification equations help us progress the biomarker‐cognition debate in dementia? Article Swipe
Jeanette Melin
,
Laura Göschel
,
Charlotte E. Teunissen
,
Patty Hoede
,
Sylvain Lehmann
,
Ariane Fillmer
,
Agnes Flöel
,
Stefan Cano
,
Sarah Marquis
,
Leslie Pendrill
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/alz.071436
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/alz.071436
Background Currently, there are no widely accepted causal models of how common biomarkers linked to dementia present as cognitive symptoms. In the current study, we present a methodology and preliminary findings to ascertain relations between sets of biomarkers and cognitive symptoms where memory ability was quantified by the newly developed NeuroMET Memory Metric (NMM). Method The sample was from the EMPIR NeuroMET cohort (n = 213 individual assessments; healthy controls [33%], subjective cognitive decline [31%], mild cognitive impairment [15%], Alzheimer’s disease [20%]). Person memory ability was measured with the NMM and the legacy test Corsi block tests (CBT), MRI and MRS biomarkers were acquired with a 7T whole‐body Magnetom MRI system and plasma biomarker levels of GFAP and pTau were measured with Simoa. To study how person memory ability can be explained, a so‐called construct specification equation (CSE) was developed using principal component regression, where person memory ability was found to depend on a linear combination of a set of explanatory co‐variables. Result Memory ability, ϴi, was found to depend on several biomarkers expressed by the CSE and the most promising CSE yielded was: ϴi = 7(3) + 2(1) x Cortical thickness + 1.7(5) x Hippocampus left – 0.0045(8) GFAP – 0.03(10) x pTau181 – 0.127(2) x Myoinositol – 0.8(4) x Amygdala right + 0.035 x Age. A Pearson correlation coefficient of 0.77 of memory ability based on the CSE prediction against the NMM measured memory ability was achieved. In contrast, all univariate correlations between individual biomarkers and memory ability were lower (highest for Cortical Thickness, R = 0.59) and correlations to memory ability measured with CBT was also lower (R = 0.46). Conclusion This study is the first to combine a metrologically validated metric derived from set of legacy memory tests with biomarker data in an attempt to better understand predictive links through CSEs. Reflecting the CSE methodology and superior accuracy of the NMM we can get more accurate and clearer understanding of how changes in biomarkers relate to changes in cognitive symptoms can contribute to the advancement in targeting novel drugs and interventions.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/alz.071436
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.071436
- OA Status
- bronze
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390195206
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390195206Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/alz.071436Digital Object Identifier
- Title
-
Can construct specification equations help us progress the biomarker‐cognition debate in dementia?Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-01Full publication date if available
- Authors
-
Jeanette Melin, Laura Göschel, Charlotte E. Teunissen, Patty Hoede, Sylvain Lehmann, Ariane Fillmer, Agnes Flöel, Stefan Cano, Sarah Marquis, Leslie PendrillList of authors in order
- Landing page
-
https://doi.org/10.1002/alz.071436Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.071436Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.071436Direct OA link when available
- Concepts
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Dementia, Memory clinic, Cognition, Biomarker, Metric (unit), Psychology, Construct (python library), Cognitive decline, Medicine, Clinical psychology, Disease, Internal medicine, Computer science, Neuroscience, Biology, Operations management, Economics, Programming language, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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