Patch-wise brain age longitudinal reliability.
Hum Brain Mapp
; 42(3): 690-698, 2021 02 15.
Article
en En
| MEDLINE
| ID: mdl-33205863
ABSTRACT
We recently introduced a patch-wise technique to estimate brain age from anatomical T1-weighted magnetic resonance imaging (T1w MRI) data. Here, we sought to assess its longitudinal reliability by leveraging a unique dataset of 99 longitudinal MRI scans from a single, cognitively healthy volunteer acquired over a period of 17 years (aged 29-46 years) at multiple sites. We built a robust patch-wise brain age estimation framework on the basis of 100 cognitively healthy individuals from the MindBoggle dataset (aged 19-61 years) using the Desikan-Killiany-Tourville atlas, then applied the model to the volunteer dataset. The results show a high prediction accuracy on the independent test set (R2 = .94, mean absolute error of 0.63 years) and no statistically significant difference between manufacturers, suggesting that the patch-wise technique has high reliability and can be used for longitudinal multi-centric studies.
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Base de datos:
MEDLINE
Asunto principal:
Encéfalo
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Imagen por Resonancia Magnética
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Neuroimagen
Tipo de estudio:
Clinical_trials
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Idioma:
En
Revista:
Hum Brain Mapp
Asunto de la revista:
CEREBRO
Año:
2021
Tipo del documento:
Article