Neurobiological correlates of longitudinal grey matter volume changes in preclinical Alzheimer’s disease

Background: Structural brain changes during the earliest asymptomatic stages of Alzheimer's disease (AD) remain poorly understood. Previous research in preclinical AD shows heterogeneous findings, reporting both subtle neuronal loss and paradoxical increases in grey matter (GM) volume. This study applies an extensive cerebrospinal fluid (CSF) biomarker panel to better understand the biological processes underlying longitudinal GM changes in cognitively unimpaired (CU) adults, spanning the amyloid/tau (AT) continuum. Methods: We analysed data from 627 CU individuals from three longitudinal cohorts (ALFA+, Wisconsin ADRC, WRAP), with repeated MRI (3.5±0.9 years) and baseline CSF biomarkers from the NeuroToolKit panel (Roche Diagnostics). Using non-negative matrix factorization, we decomposed the CSF biomarker levels into six latent components, reflecting amyloid-β (Aβ) pathology, tau-related pathophysiology with synaptic injury, neuroaxonal injury, microglial reactivity, astrocytic reactivity, and cytokine signalling. We tested associations between component weights and voxel-wise longitudinal GM volume changes using single-component and a joint-all components model. Analyses were performed across the full sample and stratified by AT status. Associations with longitudinal cognitive performance (PACC) were assessed using linear mixed-effects models. Results: The Aβ pathology component was the strongest and most widespread predictor of longitudinal GM atrophy, predominantly in temporal and frontal regions, also when controlling for tau pathophysiology, neuroaxonal injury, or neuroinflammatory components. Higher Aβ pathology scores were also associated with cognitive decline. The component capturing tau-related pathophysiology and synaptic injury initially associated with GM loss but lost significance after accounting for other biomarker components. In contrast, components reflecting microglial reactivity, astrocytic reactivity, and cytokine signalling were associated with longitudinal GM volume increases, with effects varying by AT stage. Conclusions: In this large longitudinal sample of asymptomatic individuals, Aβ pathology emerged as the primary contributor to early neurodegeneration and cognitive decline, beyond the effects of tau pathophysiology and neuroaxonal injury. While glial and inflammatory processes may underlie transient GM increases in preclinical AD. A better understanding of these dynamic relationships between structural brain changes and diverse biological pathways at the earliest stages of AD is crucial to inform the development of interventions before irreversible neurodegeneration occurs.

Authors

Institutions

Publication Details

Journal
Molecular Neurodegeneration
Published
2026-08-21
DOI
https://doi.org/10.1186/s13024-026-00987-5
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neurobiological correlates of longitudinal grey matter volume changes in preclinical Alzheimer’s disease

Rebecca L. Koscik, Wiesje Pelkmans, Erin M. Jonaitis, Raffaele Cacciaglia et al.
Molecular Neurodegeneration
Alzheimer's disease research and treatments
article

Neurobiological correlates of longitudinal grey matter volume changes in preclinical Alzheimer’s disease

Rebecca L. Koscik, Wiesje Pelkmans, Erin M. Jonaitis, Raffaele Cacciaglia, Gemma Salvadó, Juan Domingo Gispert, Rachel Wilson, Oriol Grau‐Rivera, Gwendlyn Kollmorgen, Henrik Zetterberg, Michalis Kassinopoulos, Marc Suárez‐Calvet, Carolina Minguillón, Clara Quijano‐Rubio, Sterling C. Johnson, José Luis Molinuevo, Kaj Blennow
article en

Abstract

Background: Structural brain changes during the earliest asymptomatic stages of Alzheimer's disease (AD) remain poorly understood. Previous research in preclinical AD shows heterogeneous findings, reporting both subtle neuronal loss and paradoxical increases in grey matter (GM) volume. This study applies an extensive cerebrospinal fluid (CSF) biomarker panel to better understand the biological processes underlying longitudinal GM changes in cognitively unimpaired (CU) adults, spanning the amyloid/tau (AT) continuum. Methods: We analysed data from 627 CU individuals from three longitudinal cohorts (ALFA+, Wisconsin ADRC, WRAP), with repeated MRI (3.5±0.9 years) and baseline CSF biomarkers from the NeuroToolKit panel (Roche Diagnostics). Using non-negative matrix factorization, we decomposed the CSF biomarker levels into six latent components, reflecting amyloid-β (Aβ) pathology, tau-related pathophysiology with synaptic injury, neuroaxonal injury, microglial reactivity, astrocytic reactivity, and cytokine signalling. We tested associations between component weights and voxel-wise longitudinal GM volume changes using single-component and a joint-all components model. Analyses were performed across the full sample and stratified by AT status. Associations with longitudinal cognitive performance (PACC) were assessed using linear mixed-effects models. Results: The Aβ pathology component was the strongest and most widespread predictor of longitudinal GM atrophy, predominantly in temporal and frontal regions, also when controlling for tau pathophysiology, neuroaxonal injury, or neuroinflammatory components. Higher Aβ pathology scores were also associated with cognitive decline. The component capturing tau-related pathophysiology and synaptic injury initially associated with GM loss but lost significance after accounting for other biomarker components. In contrast, components reflecting microglial reactivity, astrocytic reactivity, and cytokine signalling were associated with longitudinal GM volume increases, with effects varying by AT stage. Conclusions: In this large longitudinal sample of asymptomatic individuals, Aβ pathology emerged as the primary contributor to early neurodegeneration and cognitive decline, beyond the effects of tau pathophysiology and neuroaxonal injury. While glial and inflammatory processes may underlie transient GM increases in preclinical AD. A better understanding of these dynamic relationships between structural brain changes and diverse biological pathways at the earliest stages of AD is crucial to inform the development of interventions before irreversible neurodegeneration occurs.

Molecular Neurodegeneration
Roche (Switzerland) (CH), University of Science and Technology of China (CN), Lundbeck (Denmark) (DK), University of Wisconsin–Madison (US), Universitat Pompeu Fabra (ES), Malmö University (SE), Lund University (SE), Sahlgrenska University Hospital (SE), Instituto de Salud Carlos III (ES), Spanish National Centre for Cardiovascular Research (ES), Sorbonne Université (FR), Institut des Sciences Moléculaires (FR), Roche Pharma AG (Germany) (DE), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES), Pasqual Maragall Foundation (ES), Pitié-Salpêtrière Hospital (FR), Barcelonaβeta Brain Research Center (ES), Hospital Del Mar (ES), Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (ES), Institut du Cerveau (FR), University College London (GB), University of Gothenburg (SE)
Alzheimer's Association, Alzheimer's Drug Discovery Foundation, BrightFocus Foundation, “la Caixa” Foundation, European Commission, Generalitat de Catalunya, Lunds Universitet, Ministerio de Ciencia e Innovación, Alzheimerfonden, Alzheimer Nederland, Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona, National Institutes of Health, European Research Council, Instituto de Salud Carlos III, Departament de Salut, Generalitat de Catalunya, Agencia Estatal de Investigación, H2020 Marie Skłodowska-Curie Actions, HORIZON EUROPE Marie Sklodowska-Curie Actions
Openalex Percentile: Top 100%
Alzheimer's disease research and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.