[HTML][HTML] The dynamic functional connectome: State-of-the-art and perspectives
Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …
The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery
Recent years have witnessed a rapid growth of interest in moving functional magnetic
resonance imaging (fMRI) beyond simple scan-length averages and into approaches that …
resonance imaging (fMRI) beyond simple scan-length averages and into approaches that …
[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 …
Benchmarking functional connectome-based predictive models for resting-state fMRI
Functional connectomes reveal biomarkers of individual psychological or clinical traits.
However, there is great variability in the analytic pipelines typically used to derive them from …
However, there is great variability in the analytic pipelines typically used to derive them from …
Classification and prediction of brain disorders using functional connectivity: promising but challenging
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …
data, have been employed to reflect functional integration of the brain. Alteration in brain …
Dynamic resting-state functional connectivity in major depression
Major depressive disorder (MDD) is characterized by abnormal resting-state functional
connectivity (RSFC), especially in medial prefrontal cortical (MPFC) regions of the default …
connectivity (RSFC), especially in medial prefrontal cortical (MPFC) regions of the default …
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 …
Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic–clonic seizure
Idiopathic generalized epilepsy (IGE) has been linked with disrupted intra‐network
connectivity of multiple resting‐state networks (RSNs); however, whether impairment is …
connectivity of multiple resting‐state networks (RSNs); however, whether impairment is …
3D-deep learning based automatic diagnosis of Alzheimer's disease with joint MMSE prediction using resting-state fMRI
We performed this research to 1) evaluate a novel deep learning method for the diagnosis of
Alzheimer's disease (AD) and 2) jointly predict the Mini Mental State Examination (MMSE) …
Alzheimer's disease (AD) and 2) jointly predict the Mini Mental State Examination (MMSE) …
Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity
Recently, functional network connectivity (FNC, defined as the temporal correlation among
spatially distant brain networks) has been used to examine the functional organization of …
spatially distant brain networks) has been used to examine the functional organization of …