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Record W7119535619 · doi:10.1002/alz70856_105141

The mediating effect of white matter hyperintensities on spontaneous brain activity during aging

2025· article· en· W7119535619 on OpenAlexaff
Aliza Brzezinski‐Rittner, Amelie Metz, Roqaie Moqadam, Mahsa Dadar, Yashar Zeighami

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsMontreal Neurological Institute and HospitalUniversité de MontréalInstitut Universitaire de Gériatrie de MontréalMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsHyperintensityBrain agingWhite matterBrain activity and meditationFunctional magnetic resonance imagingAgeingMagnetic resonance imagingNeuroimaging

Abstract

fetched live from OpenAlex

Abstract Background Aging is associated with alterations in brain functional activity observed through resting‐state functional Magnetic Resonance Imaging (rs‐fMRI, Guan et al., 2024). White matter hyperintensities (WMH), indicative of cerebral small vessel disease, are also prevalent in older adults (Hachinski et al., 1987). This study examined whether WMH burden mediates the relationship between healthy aging and intrinsic neuronal activity. Method MRI data from 557 participants (51.7% female), aged 18 to 87 years, were obtained from the Cambridge Centre for Ageing and Neuroscience (Cam‐CAN) dataset. Total and lobar white matter hyperintensity (WMH) volumes were quantified from T1‐weighted and T2‐weighted structural MRI images (Dadar & Collins 2021), while regional fractional amplitude of low‐frequency fluctuations (fALFF) and Regional Homogeneity (ReHo) metrics were derived from rs‐fMRI using the Schaefer parcellation (Esteban et al. 2019). Spearman correlation analyses were conducted to assess the relationships between age, WMH load, and regional functional metrics. Mediation analysis was subsequently performed to investigate whether WMH burden mediated the effect of age on spontaneous neural activity (Figure 1). All results were adjusted for multiple comparisons using FDR correction. Result fALFF exhibited significant ( p fdr < 0.05) negative correlations with both age and WMHs across the cortex, while ReHo showed region‐specific correlations: positive in frontal and occipital regions and negative in the temporal pole (Figure 2). Mediation analysis revealed statistically significant ( p fdr < 0.05) effects of global WMH load on the impact of age on fALFF, predominantly in occipital and temporal regions, with the strongest effect in the left temporal pole. The mediation pattern of frontal WMH burden mirrored that of global WMHs. Parietal and temporal WMHs demonstrated significant but weaker mediation effects, both in magnitude and spatial extent. Conversely, occipital WMHs showed only localized and modest effects (Figure 3). Unlike fALFF, WMHs did not significantly mediate the age‐related changes in regional ReHo. Conclusion Our findings indicate that the impact of aging on spontaneous neural activity, specifically fALFF, is mediated by WMH burden. The mediation effect is pronounced for frontal WMHs, often attributed to vascular origin (Pålhaugen et al., 2020), suggesting a potential link between vascular processes and age‐related changes in neural activity.

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)0.009
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.255
Teacher spread0.241 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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