Cargando…
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 algorithms can provide accurate predictions of age based on brain characteristics, there is significant variation in model accurac...
Autores principales: | de Lange, Ann‐Marie G., Anatürk, Melis, Rokicki, Jaroslav, Han, Laura K. M., Franke, Katja, Alnæs, Dag, Ebmeier, Klaus P., Draganski, Bogdan, Kaufmann, Tobias, Westlye, Lars T., Hahn, Tim, Cole, James H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188975/ https://www.ncbi.nlm.nih.gov/pubmed/35312210 http://dx.doi.org/10.1002/hbm.25837 |
Ejemplares similares
-
The maternal brain: Region‐specific patterns of brain aging are traceable decades after childbirth
por: de Lange, Ann‐Marie G., et al.
Publicado: (2020) -
Functional connectivity directionality between large-scale resting-state networks across typical and non-typical trajectories in children and adolescence
por: Lund, Martina J., et al.
Publicado: (2022) -
Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging
por: Anatürk, Melis, et al.
Publicado: (2020) -
Maturation of cortical microstructure and cognitive development in childhood and adolescence: A T1w/T2w ratio MRI study
por: Norbom, Linn B., et al.
Publicado: (2020) -
Oxytocin pathway gene networks in the human brain
por: Quintana, Daniel S., et al.
Publicado: (2019)