A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
Brain aging is a complex, multifaceted process that can be challenging to model in ways that
are accurate and clinically useful. One of the most common approaches has been to apply …
are accurate and clinically useful. One of the most common approaches has been to apply …
Measuring resilience and resistance in aging and Alzheimer disease using residual methods: a systematic review and meta-analysis
DI Bocancea, AC van Loenhoud, C Groot, F Barkhof… - Neurology, 2021 - AAN Enterprises
Background and Objective There is a lack of consensus on how to optimally define and
measure resistance and resilience in brain and cognitive aging. Residual methods use …
measure resistance and resilience in brain and cognitive aging. Residual methods use …
[HTML][HTML] Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors
JH Cole - Neurobiology of aging, 2020 - Elsevier
The brain-age paradigm is proving increasingly useful for exploring aging-related disease
and can predict important future health outcomes. Most brain-age research uses structural …
and can predict important future health outcomes. Most brain-age research uses structural …
[HTML][HTML] Commentary: Correction procedures in brain-age prediction
AMG de Lange, JH Cole - NeuroImage: Clinical, 2020 - ncbi.nlm.nih.gov
3. Conclusions Two main conclusions can be drawn based on the examples in this
commentary: I) The method proposed by Behesti et al. provides age-bias correction that is …
commentary: I) The method proposed by Behesti et al. provides age-bias correction that is …
Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations
Brain imaging can be used to study how individuals' brains are aging, compared against
population norms. This can inform on aspects of brain health; for example, smoking and …
population norms. This can inform on aspects of brain health; for example, smoking and …
[HTML][HTML] White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age …
The macro-and microstructural architecture of human brain white matter undergoes
substantial alterations throughout development and ageing. Most of our understanding of …
substantial alterations throughout development and ageing. Most of our understanding of …
Mind the gap: Performance metric evaluation in brain‐age prediction
Estimating age based on neuroimaging‐derived data has become a popular approach to
developing markers for brain integrity and health. While a variety of machine‐learning …
developing markers for brain integrity and health. While a variety of machine‐learning …
[HTML][HTML] Deep neural networks learn general and clinically relevant representations of the ageing brain
The discrepancy between chronological age and the apparent age of the brain based on
neuroimaging data—the brain age delta—has emerged as a reliable marker of brain health …
neuroimaging data—the brain age delta—has emerged as a reliable marker of brain health …
Brain-age prediction: A systematic comparison of machine learning workflows
S More, G Antonopoulos, F Hoffstaedter, J Caspers… - NeuroImage, 2023 - Elsevier
The difference between age predicted using anatomical brain scans and chronological age,
ie, the brain-age delta, provides a proxy for atypical aging. Various data representations and …
ie, the brain-age delta, provides a proxy for atypical aging. Various data representations and …
[HTML][HTML] Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study
Brain age is becoming a widely applied imaging-based biomarker of neural aging and
potential proxy for brain integrity and health. We estimated multimodal and modality-specific …
potential proxy for brain integrity and health. We estimated multimodal and modality-specific …