[HTML][HTML] Methods for cleaning the BOLD fMRI signal
C Caballero-Gaudes, RC Reynolds - Neuroimage, 2017 - Elsevier
Blood oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) has
rapidly become a popular technique for the investigation of brain function in healthy …
rapidly become a popular technique for the investigation of brain function in healthy …
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 …
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 …
Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks
FI Karahanoğlu, D Van De Ville - Nature communications, 2015 - nature.com
Dynamics of resting-state functional magnetic resonance imaging (fMRI) provide a new
window onto the organizational principles of brain function. Using state-of-the-art signal …
window onto the organizational principles of brain function. Using state-of-the-art signal …
Multisubject independent component analysis of fMRI: a decade of intrinsic networks, default mode, and neurodiagnostic discovery
VD Calhoun, T Adali - IEEE reviews in biomedical engineering, 2012 - ieeexplore.ieee.org
Since the discovery of functional connectivity in fMRI data (ie, temporal correlations between
spatially distinct regions of the brain) there has been a considerable amount of work in this …
spatially distinct regions of the brain) there has been a considerable amount of work in this …
Network structure of brain atrophy in de novo Parkinson's disease
We mapped the distribution of atrophy in Parkinson's disease (PD) using magnetic
resonance imaging (MRI) and clinical data from 232 PD patients and 117 controls from the …
resonance imaging (MRI) and clinical data from 232 PD patients and 117 controls from the …
Source separation from single-channel recordings by combining empirical-mode decomposition and independent component analysis
In biomedical signal processing, it is often the case that many sources are mixed into the
measured signal. The goal is usually to analyze one or several of them separately. In the …
measured signal. The goal is usually to analyze one or several of them separately. In the …
Diversity in independent component and vector analyses: Identifiability, algorithms, and applications in medical imaging
Starting with a simple generative model and the assumption of statistical independence of
the underlying components, independent component analysis (ICA) decomposes a given …
the underlying components, independent component analysis (ICA) decomposes a given …
Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis
S Ganguli, H Sompolinsky - Annual review of neuroscience, 2012 - annualreviews.org
The curse of dimensionality poses severe challenges to both technical and conceptual
progress in neuroscience. In particular, it plagues our ability to acquire, process, and model …
progress in neuroscience. In particular, it plagues our ability to acquire, process, and model …
A sliding time-window ICA reveals spatial variability of the default mode network in time
V Kiviniemi, T Vire, J Remes, AA Elseoud… - Brain …, 2011 - liebertpub.com
Recent evidence on resting-state networks in functional (connectivity) magnetic resonance
imaging (fcMRI) suggests that there may be significant spatial variability of activity foci over …
imaging (fcMRI) suggests that there may be significant spatial variability of activity foci over …