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Grey matter volume and CSF biomarkers predict neuropsychological subtypes of MCI
Jeremy Lefort-Besnard, Mikael Naveau, Nicolas Delcroix, Leslie Marion Decker, Fabien Cignetti, Alzheimer’s Disease Neuroimaging Initiative. Neurobiology of aging, 2023-07-12
Topic: Brain imaging, connectivity and assessment
There is increasing evidence of different subtypes of individuals with mild cognitive impairment (MCI). An important line of research is whether neuropsychologically-defined subtypes have distinct patterns of neurodegeneration and cerebrospinal fluid (CSF) biomarker composition. In our study, we demonstrated that MCI participants of the ADNI database (N = 640) can be discriminated into 3 coherent neuropsychological subgroups. Our clustering approach revealed amnestic MCI, mixed MCI, and cluster-derived normal subgroups. Furthermore, classification modeling revealed that specific predictive features can be used to differentiate amnestic and mixed MCI from cognitively normal (CN) controls: CSF Aβ142 concentration for the former and CSF Aβ1-42 concentration, tau concentration as well as grey matter atrophy (especially in the temporal and occipital lobes) for the latter. In contrast, participants from the cluster-derived normal subgroup exhibited an identical profile to CN controls in terms of cognitive performance, brain structure, and CSF biomarker levels. Our comprehensive data analytics strategy provides further evidence that multimodal neuropsychological subtyping is both clinically and neurobiologically meaningful.
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APA 7th
Lefort-Besnard, J., Naveau, M., Delcroix, N., Decker, L. M., Cignetti, F., & Alzheimer’s Disease Neuroimaging Initiative. (2023). Grey matter volume and CSF biomarkers predict neuropsychological subtypes of MCI. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2023.07.006
Vancouver
Lefort-Besnard J, Naveau M, Delcroix N, Decker LM, Cignetti F, Alzheimer’s Disease Neuroimaging Initiative. Grey matter volume and CSF biomarkers predict neuropsychological subtypes of MCI. Neurobiology of aging. 2023. doi:10.1016/j.neurobiolaging.2023.07.006. PMID: 37689017.
BibTeX
@article{lefortbesnard2023-37689017,
author = {Lefort-Besnard, Jeremy and Naveau, Mikael and Delcroix, Nicolas and Decker, Leslie Marion and Cignetti, Fabien and {Alzheimer’s Disease Neuroimaging Initiative}},
title = {{Grey matter volume and CSF biomarkers predict neuropsychological subtypes of MCI}},
journal = {Neurobiology of aging},
year = {2023},
doi = {10.1016/j.neurobiolaging.2023.07.006},
pmid = {37689017},
url = {https://doi.org/10.1016/j.neurobiolaging.2023.07.006}
}
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Key findings
- In our study, we demonstrated that MCI participants of the ADNI database (N = 640) can be discriminated into 3 coherent neuropsychological subgroups.
- Our clustering approach revealed amnestic MCI, mixed MCI, and cluster-derived normal subgroups.
- Furthermore, classification modeling revealed that specific predictive features can be used to differentiate amnestic and mixed MCI from cognitively normal (CN) controls: CSF Aβ142 concentration for the former and CSF Aβ1-42 concentration, tau concentration as well as grey matter atrophy (especially in the temporal and occipital lobes) for the latter.
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Study details
- Participants640
- Evidence strengthLow
How this study scored 50/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 28 of the 56 points we could judge it on, which is 50 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Neurobiology of aging) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2023 — within 6 year(s) of the newest study here |
| Sample size | 2 / 4 | 640 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 37689017) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 28 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 28 of the 56 points we could judge it on is 50 out of 100. |
| Total | 50 / 100 | — |
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