Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples.

ABSTRACT:

Purpose of review

The 'holy grail' of clinical applications of neuroimaging to neurological and psychiatric disorders via personalized biomarkers has remained mostly elusive, despite considerable effort. However, there are many reasons to continue to be hopeful, as the field has made remarkable advances over the past few years, fueled by a variety of converging technical and data developments.

Recent findings

We discuss a number of advances that are accelerating the push for neuroimaging biomarkers including the advent of the 'neuroscience big data' era, biomarker data competitions, the development of more sophisticated algorithms including 'guided' data-driven approaches that facilitate automation of network-based analyses, dynamic connectivity, and deep learning. Another k

SUBMITTER: Calhoun VD 

PROVIDER: S-EPMC8263510 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature