Interpretable brain age prediction using linear latent variable models of functional connectivity

Gibberd Alex
Gibberd Alex
Roy Sandipan
Roy Sandipan
Nunes Matt
Nunes Matt
Ogawa Takeshi
Ogawa Takeshi

PloS one, 2019.

Cited by: 0|Views13
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Abstract:

Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on functional connectivity while prioritizing model interpretability and understanding. This way, the models serve to bo...More

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