# Cortical mean diffusivity detects early age-related changes and associates with cognition and plasma biomarkers

**Authors:** Oriol Perera-Cruz, Cristina Solé-Padullés, Lídia Mulet-Pons, María Cabello-Toscano, Rachel M Morse, Kilian Abellaneda-Pérez, Rubén Perellón-Alfonso, Gabriele Cattaneo, Javier Solana-Sánchez, Vanessa Alviarez-Schulze, Nuria Bargalló, Juan Fortea, Josep M Tormos, Alvaro Pascual-Leone, Henrik Zetterberg, Lídia Vaqué-Alcázar, David Bartrés-Faz

PMC · DOI: 10.1093/braincomms/fcaf511 · Brain Communications · 2026-01-10

## TL;DR

This study shows that cortical mean diffusivity (cMD) detects early brain changes linked to aging and cognitive decline better than cortical thickness.

## Contribution

The study demonstrates that cMD is more sensitive to age-related cognitive decline and biomarkers than cortical thickness.

## Key findings

- cMD decreases with age earlier than cortical thickness and is more sensitive to cognitive decline.
- cMD correlates with neurodegenerative and inflammatory biomarkers in prefrontal regions.
- APOE ɛ4 carriers show lower cMD levels compared to non-carriers.

## Abstract

The relationship between age-related cognitive changes and cortical macrostructural properties [i.e. cortical thickness (CTh)] has been extensively studied. However, less is known about the relationship with cortical microstructural characteristics [i.e. cortical mean diffusivity (cMD)] even though these are sensitive to preclinical phases of Alzheimer’s disease. We studied a sample of 964 cognitively healthy adults (age: 40–82 years; 52% females) with available structural and diffusion MRI data. The preclinical Alzheimer’s cognitive composite was used as the cognition measure, and plasma concentrations of neurodegenerative-related (i.e. phosphorylated tau 181 and neurofilament light) and inflammatory (i.e. high-sensitivity C-reactive protein) biomarkers were assessed, together with apolipoprotein ɛ4 status. Neuroimaging data was preprocessed using FreeSurfer and FSL, and a homemade surface-based approach was used to obtain cMD maps. A two-class generalized linear model was used as the main statistical analysis. We identified a significant negative association between both cortical measures (cMD and CTh) and age. cMD associations were more extensive at earlier ages (<50 years), while CTh associations were greater at older ages (>50 years). cMD was positively correlated with cognition and with both neurodegenerative-related biomarkers in prefrontal regions, while the association was negative and more widespread for the inflammatory biomarker. CTh was positively correlated with cognition in more restricted areas than cMD and only negatively correlated with neurofilament light. Also, cMD presented lower levels in apolipoprotein ɛ4 carriers compared to non-carriers, while no results were found for CTh. Correlating cMD with CTh resulted in a regional pattern of negative and positive correlations, differencing somatosensory and associative areas, respectively. Altogether, we show that cMD can capture microstructural cortical changes occurring across adulthood into older age before CTh alterations. Indeed, it seems more sensitive to age-related cognitive decline and pathological and inflammatory processes related to risk profiles, showing an opposite trend to CTh in relation to neurodegenerative biomarker levels. Furthermore, our results suggest a pattern relating the two cortical metrics perhaps reflecting a cortical organization pattern.

Perera-Cruz et al. report how cortical mean diffusivity, a metric representative of microstructural characteristics, cross-sectionally decreases along the adult lifespan in 964 cognitively healthy individuals, presenting higher sensitivity to cognition measures, plasma neurodegenerative- and inflammation-related biomarkers and APOE ɛ4 status than cortical thickness and also possibly identifying cortical organization patterns.

Graphical Abstract

## Linked entities

- **Genes:** APOE (apolipoprotein E) [NCBI Gene 348]
- **Diseases:** Alzheimer’s disease (MONDO:0004975)

## Full-text entities

- **Genes:** AGR3 (anterior gradient 3, protein disulphide isomerase family member) [NCBI Gene 155465] {aka AG-3, AG3, BCMP11, HAG3, PDIA18, hAG-3}, APP (amyloid beta precursor protein) [NCBI Gene 351] {aka AAA, ABETA, ABPP, AD1, APPI, CTFgamma}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, VSIG2 (V-set and immunoglobulin domain containing 2) [NCBI Gene 23584] {aka 2210413P10Rik, CTH, CTXL}, NEFL (neurofilament light chain) [NCBI Gene 4747] {aka CMT1F, CMT2E, CMTDIG, NF-L, NF68, NFL}, MAPT (microtubule associated protein tau) [NCBI Gene 4137] {aka DDPAC, FTD1, FTDP-17, MAPTL, MSTD, MTBT1}, APOE (apolipoprotein E) [NCBI Gene 348] {aka AD2, APO-E, ApoE4, LDLCQ5, LPG}
- **Diseases:** atrophic (MESH:D020966), atrophy (MESH:D001284), essential tremor (MESH:D020329), neuroinflammation (MESH:D000090862), aphasia (MESH:D001037), swelling (MESH:D004487), psychiatric (MESH:D001523), AD (MESH:D000544), tumours (MESH:D009369), brain lesions (MESH:D001927), inflammation (MESH:D007249), Neurodegenerative Disease (MESH:D019636), astrocytosis (MESH:D005911), axonal damage (MESH:D001480), cognitive decline (MESH:D003072), RH (MESH:C564833), cysts (MESH:D003560), brain tumour (MESH:D001932), neurological disorders (MESH:D009461), micro-bleedings (MESH:C536681), PACC (MESH:D058617), cMD (MESH:C567129), cerebral arteriovenous malformations (MESH:D002538), stroke (MESH:D020521), Dementia (MESH:D003704), amyloid (MESH:C000718787), MD (MESH:D008228), WM (MESH:D056784), cortical thinning (MESH:D000082643), neuronal damage (MESH:D009410), neurological diseases (MESH:D020271), structural (MESH:D020914)
- **Chemicals:** ethylenediaminetetraacetic acid (MESH:D004492), BQ (-), lipid (MESH:D008055), LCF (MESH:D058766), water (MESH:D014867)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]
- **Mutations:** threonine position 181

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12933213/full.md

## References

194 references — full list in the complete paper: https://tomesphere.com/paper/PMC12933213/full.md

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Source: https://tomesphere.com/paper/PMC12933213