Large-scale functional network overlap is a general property of brain functional organization: Reconciling inconsistent fMRI findings from general-linear-model-based …

J Xu, MN Potenza, VD Calhoun, R Zhang… - Neuroscience & …, 2016 - Elsevier
Functional magnetic resonance imaging (fMRI) studies regularly use univariate general-
linear-model-based analyses (GLM). Their findings are often inconsistent across different …

Common and unique neural networks for proactive and reactive response inhibition revealed by independent component analysis of functional MRI data

J Van Belle, M Vink, S Durston, BB Zandbelt - Neuroimage, 2014 - Elsevier
Response inhibition involves proactive and reactive modes. Proactive inhibition is goal-
directed, triggered by warning cues, and serves to restrain actions. Reactive inhibition is …

Experimental comparisons of sparse dictionary learning and independent component analysis for brain network inference from fMRI data

W Zhang, J Lv, X Li, D Zhu, X Jiang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
In this work, we conduct comprehensive comparisons between four variants of independent
component analysis (ICA) methods and three variants of sparse dictionary learning (SDL) …

Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based analyses

J Xu, MN Potenza, VD Calhoun - Frontiers in neuroscience, 2013 - frontiersin.org
Independent component analysis (ICA) is a signal processing technique using higherorder
statistics to extract signals by unmixing signal mixtures. McKeown et al.(1998) introduced …

Multidimensional prediction of treatment response to antidepressants with cognitive control and functional MRI

NA Crane, LM Jenkins, R Bhaumik, C Dion, JR Gowins… - Brain, 2017 - academic.oup.com
Predicting treatment response for major depressive disorder can provide a tremendous
benefit for our overstretched health care system by reducing number of treatments and time …

Differential functional brain network connectivity during visceral interoception as revealed by independent component analysis of fMRI time‐series

B Jarrahi, D Mantini, JH Balsters, L Michels… - Human brain …, 2015 - Wiley Online Library
Influential theories of brain‐viscera interactions propose a central role for interoception in
basic motivational and affective feeling states. Recent neuroimaging studies have …

[HTML][HTML] Capturing the dynamics of response variability in the brain in ADHD

J van Belle, T Van Raalten, DJ Bos, BB Zandbelt… - NeuroImage: Clinical, 2015 - Elsevier
ADHD is characterized by increased intra-individual variability in response times during the
performance of cognitive tasks. However, little is known about developmental changes in …

Multiple brain networks underpinning word learning from fluent speech revealed by independent component analysis

D López-Barroso, P Ripollés, J Marco-Pallarés… - Neuroimage, 2015 - Elsevier
Although neuroimaging studies using standard subtraction-based analysis from functional
magnetic resonance imaging (fMRI) have suggested that frontal and temporal regions are …

[HTML][HTML] A large-scale brain network of species-specific dynamic human body perception

B Li, MP Solanas, G Marrazzo, R Raman… - Progress in …, 2023 - Elsevier
This ultrahigh field 7 T fMRI study addressed the question of whether there exists a core
network of brain areas at the service of different aspects of body perception. Participants …

Implications of cortical balanced excitation and inhibition, functional heterogeneity, and sparseness of neuronal activity in fMRI

J Xu - Neuroscience & Biobehavioral Reviews, 2015 - Elsevier
Abstract Blood-oxygenation-level-dependent (BOLD) functional magnetic resonance
imaging (fMRI) studies often report inconsistent findings, probably due to brain properties …