Dynamic functional connectivity: promise, issues, and interpretations

RM Hutchison, T Womelsdorf, EA Allen, PA Bandettini… - Neuroimage, 2013 - Elsevier
The brain must dynamically integrate, coordinate, and respond to internal and external
stimuli across multiple time scales. Non-invasive measurements of brain activity with fMRI …

Structure and function of complex brain networks

O Sporns - Dialogues in clinical neuroscience, 2013 - Taylor & Francis
An increasing number of theoretical and empirical studies approach the function of the
human brain from a network perspective. The analysis of brain networks is made feasible by …

A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics

CG Yan, B Cheung, C Kelly, S Colcombe… - Neuroimage, 2013 - Elsevier
Functional connectomics is one of the most rapidly expanding areas of neuroimaging
research. Yet, concerns remain regarding the use of resting-state fMRI (R-fMRI) to …

Groupwise whole-brain parcellation from resting-state fMRI data for network node identification

X Shen, F Tokoglu, X Papademetris, RT Constable - Neuroimage, 2013 - Elsevier
In this paper, we present a groupwise graph-theory-based parcellation approach to define
nodes for network analysis. The application of network-theory-based analysis to extend the …

Opportunities and limitations of intrinsic functional connectivity MRI

RL Buckner, FM Krienen, BTT Yeo - Nature neuroscience, 2013 - nature.com
Intrinsic functional connectivity magnetic resonance imaging (fcMRI) has emerged as a
powerful tool for mapping large-scale networks in the human brain. Robust and reliable …

Resting-state fMRI: a review of methods and clinical applications

MH Lee, CD Smyser… - American Journal of …, 2013 - Am Soc Neuroradiology
Resting-state fMRI measures spontaneous low-frequency fluctuations in the BOLD signal to
investigate the functional architecture of the brain. Application of this technique has allowed …

Resting-state fMRI confounds and cleanup

K Murphy, RM Birn, PA Bandettini - Neuroimage, 2013 - Elsevier
The goal of resting-state functional magnetic resonance imaging (fMRI) is to investigate the
brain's functional connections by using the temporal similarity between blood oxygenation …

Time-varying functional network information extracted from brief instances of spontaneous brain activity

X Liu, JH Duyn - Proceedings of the National Academy of …, 2013 - National Acad Sciences
Recent functional magnetic resonance imaging studies have shown that the brain is
remarkably active even in the absence of overt behavior, and this activity occurs in spatial …

Salience network–based classification and prediction of symptom severity in children with autism

LQ Uddin, K Supekar, CJ Lynch, A Khouzam… - JAMA …, 2013 - jamanetwork.com
Importance Autism spectrum disorder (ASD) affects 1 in 88 children and is characterized by
a complex phenotype, including social, communicative, and sensorimotor deficits. Autism …

Resting‐state networks show dynamic functional connectivity in awake humans and anesthetized macaques

RM Hutchison, T Womelsdorf, JS Gati… - Human brain …, 2013 - Wiley Online Library
Characterization of large‐scale brain networks using blood‐oxygenation‐level‐dependent
functional magnetic resonance imaging is typically based on the assumption of network …