Weekly Digest
Weekly ToC Digest (week of 2026-07-20)
Prioritized papers with strong focus on brain-age modeling, neuroimaging biomarkers, and data science methods. This week’s publications include studies on neuroimaging, an integrated cross-platform workflow, and multimodal datasets. However, there were no high-impact findings directly addressing brain-aging models or computational aspects relevant to the user’s interests in brain-age modeling and harmonization. Focused on computational contributions to brain aging models and methodologies enhancing model robustness and generalization. No highly relevant brain aging or brain-age prediction papers found this week.
Included: 3 (score ≥ 0.35)
Scored: 8 total items
Interpretable Local-to-Global Estimation of Brain Aging Speed From Morphological Changes Using Longitudinal Structural MRI Data
bioRxiv
Score: 0.95
Published: 2026-07-20T00:00:00+00:00 Tags: brain age, MRI, longitudinal, UQ, normative
Focuses on brain aging characterization from longitudinal MRI, aligning with interests in brain-age modeling and neuroimaging biomarkers.
RSS summary
Accurate characterization of brain aging is essential for understanding cognitive decline and assessing the risk of neurodegenerative disease. Brain age estimated from cross-sectional MRI provides a snapshot of brain health relative to chronological age, and the derived brain age delta has emerged as a promising biomarker. However, brain age delta reflects cumulative effects at a single time point and fails to capture ongoing aging dynamics. Longitudinal approaches address this limitation by est…
Spectral organization of individualized connectome harmonics across brain structure, function and cognition
bioRxiv
Score: 0.50
Published: 2026-07-20T00:00:00+00:00 Tags: MRI, connectome, multimodal
The study uses structural and functional MRI to explore variability in structural connectivity, which is relevant to brain function modeling and could relate to brain aging markers.
RSS summary
Connectome harmonics provide a spectral representation of structural brain connectivity that has emerged as a powerful framework for studying structure-function relationships. However, two fundamental questions remain unresolved: how should inter-individual variability in structural connectivity be incorporated into graph signal processing analyses, and at which spectral scale should connectome harmonics be interpreted? Here, using structural and functional MRI data from 875 participants, we sho…
NeuroFlow: An Integrated, Cross-Platform Workflow for Mouse Brain Atlas Registration and Quantification
bioRxiv
Score: 0.40
Published: 2026-07-20T00:00:00+00:00 Tags: quantification, atlas, workflow
Presents a new workflow for brain atlas registration and quantification, which could have implications for brain aging studies requiring anatomical localization.
RSS summary
Registration of histological sections to a reference atlas is essential for anatomical localization and region-based quantitative analysis. Although established workflows are powerful, image preparation, registration, quantification, and visualization often rely on multiple software packages, some of which require platform-specific installation or locally configured programming environments. Here, we present NeuroFlow, a browser-based workflow for quantitative analysis of mouse brain histology. …