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Record W4294718699 · doi:10.1016/j.ynirp.2022.100126

Tract-specific differences in white matter microstructure between young adult APOE ε4 carriers and non-carriers: A replication and extension study

2022· article· en· W4294718699 on OpenAlexaff
Rikki Lissaman, T. Lancaster, Greg D. Parker, Kim S. Graham, Andrew D. Lawrence, Carl J. Hodgetts

Bibliographic record

VenueNeuroimage Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsMcGill UniversityDouglas College
FundersMedical Research CouncilWellcome Trust
KeywordsFractional anisotropyApolipoprotein ECingulum (brain)White matterPsychologyInternal medicineMedicineDisease

Abstract

fetched live from OpenAlex

Abstract The parahippocampal cingulum bundle (PHCB) connects regions known to be vulnerable to early Alzheimer’s disease (AD) pathology, such as posteromedial cortex and medial temporal lobe. While AD-related pathology has been robustly associated with alterations in PHCB microstructure, specifically lower fractional anisotropy (FA) and higher mean diffusivity (MD), emerging evidence indicates that the reverse pattern is evident in younger adults at-risk of AD. In one such study, Hodgetts et al. (2019) reported that healthy young adult carriers of the apolipoprotein-E ( APOE ) ε4 allele – the strongest common genetic risk factor for AD – showed higher FA and lower MD in the PHCB but not the inferior longitudinal fasciculus (ILF). These results are consistent with proposals claiming that heightened neural activity and connectivity have a significant role in posteromedial cortex vulnerability to amyloid-β and tau spread beyond the medial temporal lobe. Given the implications for understanding AD risk, here we sought to replicate Hodgetts et al.’s finding in a larger sample ( N = 128; 40 APOE ε4 carriers, 88 APOE ε4 non-carriers) of young adults (age range: 19-33). Extending this work further, we also conducted exploratory analyses using a more advanced measure of microstructure: hindrance modulated orientational anisotropy (HMOA). These analyses included an investigation of hemispheric asymmetry in PHCB and ILF HMOA. Contrary to the original study, we observed no difference in PHCB microstructure between APOE ε4 carriers and non-carriers. Bayes factors (BFs) further revealed moderate-to-strong evidence in support of these null findings. APOE ε4-related differences in ILF HMOA asymmetry were evident, however, with carriers demonstrating lower leftward asymmetry. Our findings indicate that young adult APOE ε4 carriers do not show alterations in PHCB microstructure, as observed by Hodgetts et al., but may show altered asymmetry in ILF microstructure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.310
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2022
Admission routes1
Has abstractyes

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