Questions and controversies in the study of time-varying functional connectivity in resting fMRI
The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …
Resting-state functional MRI: everything that nonexperts have always wanted to know
H Lv, Z Wang, E Tong, LM Williams… - American Journal …, 2018 - Am Soc Neuroradiology
Resting-state fMRI was first described by Biswal et al in 1995 and has since then been
widely used in both healthy subjects and patients with various neurologic, neurosurgical …
widely used in both healthy subjects and patients with various neurologic, neurosurgical …
[HTML][HTML] NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Many mental illnesses share overlapping or similar clinical symptoms, confounding the
diagnosis. It is important to systematically characterize the degree to which unique and …
diagnosis. It is important to systematically characterize the degree to which unique and …
Machine learning in resting-state fMRI analysis
Abstract Machine learning techniques have gained prominence for the analysis of resting-
state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview …
state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview …
[HTML][HTML] Resting brain dynamics at different timescales capture distinct aspects of human behavior
Linking human behavior to resting-state brain function is a central question in systems
neuroscience. In particular, the functional timescales at which different types of behavioral …
neuroscience. In particular, the functional timescales at which different types of behavioral …
Graph theory approaches to functional network organization in brain disorders: A critique for a brave new small-world
MN Hallquist, FG Hillary - Network neuroscience, 2018 - direct.mit.edu
Over the past two decades, resting-state functional connectivity (RSFC) methods have
provided new insights into the network organization of the human brain. Studies of brain …
provided new insights into the network organization of the human brain. Studies of brain …
Deep residual learning for neuroimaging: an application to predict progression to Alzheimer's disease
Background The unparalleled performance of deep learning approaches in generic image
processing has motivated its extension to neuroimaging data. These approaches learn …
processing has motivated its extension to neuroimaging data. These approaches learn …
[HTML][HTML] Tapping into multi-faceted human behavior and psychopathology using fMRI brain dynamics
Human behavior comprises many aspects that stand out by their dynamic nature. To quantify
its neural underpinnings, time-resolved fMRI methods have blossomed over the past …
its neural underpinnings, time-resolved fMRI methods have blossomed over the past …
[HTML][HTML] Within and between-person correlates of the temporal dynamics of resting EEG microstates
Microstates reflect transient brain states resulting from the synchronous activity of brain
networks that predominate in the broadband EEG. There has been increasing interest in …
networks that predominate in the broadband EEG. There has been increasing interest in …
Resting-state functional MRI studies on infant brains: a decade of gap-filling efforts
Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging
modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects …
modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects …