@VPrasadMDMPH The regression approach yields the opportunity to use "aging" models for (non-linear) age-correction (shameless self-promotion): https://t.co/1qTJR0qENG
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and artificial neural networks might help with that complex data processing step: https://t.co/AtvkVQ7pFZ 7/x
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RT @Anna_NeuroSci: Age is a confounding factor in (clinical) DTI studies. The age-associated effects in white matter are complex (temporal…
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Age is a confounding factor in (clinical) DTI studies. The age-associated effects in white matter are complex (temporal and spatial 🤯). Can ANN be used to provide an accurate age correction of tract-based DTI metrics? Check out our proof of concept 👇🤓