[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 …
Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power
E Bacas, I Kahhalé, PR Raamana… - Human Brain …, 2023 - Wiley Online Library
The calculation of so‐called “brain age” from structural MRIs has been an emerging
biomarker in aging research. Data suggests that discrepancies between chronological age …
biomarker in aging research. Data suggests that discrepancies between chronological age …
[HTML][HTML] A growth chart of brain function from infancy to adolescence based on EEG
Background In children, objective, quantitative tools that determine functional
neurodevelopment are scarce and rarely scalable for clinical use. Direct recordings of …
neurodevelopment are scarce and rarely scalable for clinical use. Direct recordings of …
BrainAGE: Revisited and reframed machine learning workflow
Since the introduction of the BrainAGE method, novel machine learning methods for brain
age prediction have continued to emerge. The idea of estimating the chronological age from …
age prediction have continued to emerge. The idea of estimating the chronological age from …
[HTML][HTML] Assessing the association between global structural brain age and polygenic risk for schizophrenia in early adulthood: A recall-by-genotype study
C Constantinides, V Baltramonaityte, D Caramaschi… - cortex, 2024 - Elsevier
Neuroimaging studies consistently show advanced brain age in schizophrenia, suggesting
that brain structure is often 'older'than expected at a given chronological age. Whether …
that brain structure is often 'older'than expected at a given chronological age. Whether …
A growth chart of brain function from infancy to adolescence based on electroencephalography
Background In children, objective, quantitative tools that determine functional
neurodevelopment are scarce and rarely scalable for clinical use. Direct recordings of …
neurodevelopment are scarce and rarely scalable for clinical use. Direct recordings of …
[PDF][PDF] BrainAGE revisited: Keeping up the pace with deep learning methods
Since the introduction of the BrainAGE method (Franke et al., 2010), novel machine learning
methods of brain age prediction have continued to emerge. The idea of estimating the …
methods of brain age prediction have continued to emerge. The idea of estimating the …