Original paper
Discriminating stress from rest based on resting‐state connectivity of the human brain: A supervised machine learning study
Abstract
Acute stress induces large‐scale neural reorganization with relevance to stress‐related psychopathology. Here, we applied a novel supervised machine learning method, combining the strengths of a priori theoretical insights with a data‐driven approach, to identify which connectivity changes are most prominently associated with a state of acute stress and individual differences therein. Resting‐state functional magnetic resonance imaging scans...
Paper Details
Title
Discriminating stress from rest based on resting‐state connectivity of the human brain: A supervised machine learning study
Published Date
Apr 15, 2020
Journal
Volume
41
Issue
11
Pages
3089 - 3099
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History