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Record W3112418368 · doi:10.1002/alz.043984

Associations between white matter hyperintensities and cognitive dysfunction in Alzheimer’s, vascular and mixed dementias

2020· article· en· W3112418368 on OpenAlexaffabout
Hyunwoo Lee, Vanessa Wiggermann, Alexander Rauscher, Mirza Faisal Beg, Karteek Popuri, Roger Tam, Kevin Lam, Teresa Liu‐Ambrose, Elizabeth Dao, Walid Ahmed Al Keridy, Claudia Jacova, Vesna Sossi, Jacqueline A. Pettersen, Oscar Benavente, Ging‐Yuek Robin Hsiung

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Northern British ColumbiaSimon Fraser UniversityVancouver Coastal Health Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsHyperintensityDementiaMontreal Cognitive AssessmentCardiologyPsychologyVascular dementiaCognitive declineWhite matterInternal medicineCognitionAtrophyAudiologyMedicineMagnetic resonance imagingNeuroscienceDiseaseRadiology

Abstract

fetched live from OpenAlex

Abstract Background Increased burden of white‐matter hyperintensities (WMHs) on MRI is common among different types of dementia. WMHs can be caused by various underlying etiologies and are non‐specific markers of tissue abnormality. Therefore, global measures such as WMH burdens may not distinguish between degrees of cognitive impairment. We explored the associations between lobar‐specific WMH volumes and cognitive dysfunction across different dementia subtypes. Method N=57 participants (7 Alzheimer’s disease [AD]/5 subcortical vascular dementia [SVaD]/7 mixed dementia [MixD]/38 vascular cognitive impairment [VCI]; Sex:34M/23F; Age:73±8yrs; pooled from three independent studies) were scanned on 3T MRI. WMHs were segmented on 3D‐FLAIR (MixD/AD/SVaD) or dual‐echo PD/T2‐weighted (VCI) images. T1‐weighted images were processed with Freesurfer 6.0. Left and right frontal, temporal, occipital and parietal lobes plus basal ganglia volumes were constructed using the Freesurfer segmentation outputs. We calculated the proportion of WMH burden within each lobe, i.e. the ratio of lobar WMH volume over the lobar volume. The Montreal Cognitive Assessment (MoCA) was used as a measure of cognitive function. We used a general linear model to determine the association between the WMH/lobar volume ratios and the MoCA scores. Covariates included age, sex, and presence of AD‐related (yes for MixD/AD, no for rest) and vascular‐related conditions (yes for SVaD/VCI/MixD, no for AD). Additionally, we assessed the relationship between the MoCA scores and the ratio of total WMH burden over the whole‐brain parenchymal volume. Result The model yielded a significant association between the MoCA scores and WMH/lobar ratios within the left (p=0.031) and the right (p=0.035) frontal lobes, with higher ratios predicting lower MoCA scores. The effect was not significant within the temporal, occipital, parietal lobes and the basal ganglia. The effect was insignificant at the whole‐brain level (p=0.08). Conclusion We found a significant association between the frontal lobe WMH burden and the MoCA scores, especially sensitive to frontal executive functions. This suggests that region‐specific assessments of WMHs may provide improved imaging‐cognitive correlations over the global WMH burden. Future studies with more consistent imaging protocols and broader cognitive/clinical assessments are warranted to further characterize the relationship between WMHs and cognitive impairment.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.288
Teacher spread0.247 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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