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Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples
Author(s) -
Vince D. Calhoun,
Godfrey D. Pearlson,
Jing Sui
Publication year - 2021
Publication title -
current opinion in neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 119
eISSN - 1473-6551
pISSN - 1350-7540
DOI - 10.1097/wco.0000000000000967
Subject(s) - neuroimaging , data science , holy grail , variety (cybernetics) , computer science , field (mathematics) , neuroscience , medicine , psychology , artificial intelligence , mathematics , world wide web , pure mathematics
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.

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