On spurious and real fluctuations of dynamic functional connectivity during rest

2014/09/16 by Nora Leonardi, Dimitri Van De Ville · 4 citations
Medicine · Neuroscience · Psychology · #Acoustics #Advanced Neuroimaging Techniques and Applications #Algorithm #Computer science #Dynamic functional connectivity #Functional Brain Connectivity Studies #Functional connectivity #Machine learning #Neural dynamics and brain function #Neuroscience #Physics #Psychology #Rest (music) #SIGNAL (programming language) #Sliding window protocol #Spurious relationship #Statistical physics #Window (computing)

paper · pdf · doi:10.1016/j.neuroimage.2014.09.007

openalex publication_date 2014/09/16 · crossref created 2014/09/16 · crossref issued 2015/01/01 · crossref published 2015/01/01 · crossref published-print 2015/01/01 · openalex created_date 2025/10/10 · crossref deposited 2025/10/20 · crossref indexed 2026/07/24 · openalex updated_date 2026/08/05

Citations

• Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience
• Decoding brain states from fMRI connectivity graphs
• Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest

Cited by

• Large-Scale Brain Network Dynamics Provide a Measure of Psychosis and Anxiety in 22q11.2 Deletion Syndrome
• The dynamic functional connectome: State-of-the-art and perspectives
• Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity
• Dimitri Van De Ville [wikipedia]