Assessment of dynamic functional connectivity in resting‐state fMRI using the sliding window technique

Decreased functional connectivity within the default-mode network in acute brainstem ischemic stroke

(2018) Liang Jiang et al.   EUROPEAN JOURNAL OF RADIOLOGY

Parametric Dependencies of Sliding Window Correlation

(2018) Sadia Shakil et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Altered resting-state connectivity within default mode network associated with late chronotype

(2018) Charlotte Mary Horne et al.   JOURNAL OF PSYCHIATRIC RESEARCH

The dynamic functional connectome: State-of-the-art and perspectives

(2017) Maria Giulia Preti et al.   NEUROIMAGE

Comparing test-retest reliability of dynamic functional connectivity methods

(2017) Ann S. Choe et al.   NEUROIMAGE

Interpreting temporal fluctuations in resting-state functional connectivity MRI

(2017) Raphaël Liégeois et al.   NEUROIMAGE

Time-Varying Brain Connectivity in fMRI Data: Whole-brain data-driven approaches for capturing and characterizing dynamic states

(2016) Vince D. Calhoun et al.   IEEE SIGNAL PROCESSING MAGAZINE

Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states

(2016) Sadia Shakil et al.   NEUROIMAGE

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

(2016) R. Hindriks et al.   NEUROIMAGE

The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI

(2015) William H. Thompson et al.   Frontiers in Human Neuroscience

Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives

(2015) James M. Shine et al.   NEUROIMAGE

On spurious and real fluctuations of dynamic functional connectivity during rest

(2015) Nora Leonardi et al.   NEUROIMAGE

Signature of consciousness in the dynamics of resting-state brain activity

(2015) Pablo Barttfeld et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Measures of Analysis of Time Series (MATS): AMATLABToolkit for Computation of Multiple Measures on Time Series Data Bases

(2015) Dimitris Kugiumtzis et al.   Journal of Statistical Software

The default network and self-generated thought: component processes, dynamic control, and clinical relevance

(2014) Jessica R. Andrews-Hanna et al.   Annals of the New York Academy of Sciences

Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach

(2014) Martin A. Lindquist et al.   NEUROIMAGE

Time-resolved resting-state brain networks

(2014) A. Zalesky et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia

(2014) E. Damaraju et al.   NeuroImage-Clinical

Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients

(2013) Xiang Li et al.   HUMAN BRAIN MAPPING

Resting-state fMRI in the Human Connectome Project

(2013) Stephen M. Smith et al.   NEUROIMAGE

Learning and comparing functional connectomes across subjects

(2013) Gaël Varoquaux et al.   NEUROIMAGE

Dynamic functional connectivity: Promise, issues, and interpretations

(2013) R. Matthew Hutchison et al.   NEUROIMAGE

The minimal preprocessing pipelines for the Human Connectome Project

(2013) Matthew F. Glasser et al.   NEUROIMAGE

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

(2013) Xiao Liu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Altered baseline brain activity in type 2 diabetes: A resting-state fMRI study

(2013) Wenqing Xia et al.   PSYCHONEUROENDOCRINOLOGY

Functional connectomics from resting-state fMRI

(2013) Stephen M. Smith et al.   TRENDS IN COGNITIVE SCIENCES

Default Mode Network Activity and Connectivity in Psychopathology

(2012) Susan Whitfield-Gabrieli et al.   Annual Review of Clinical Psychology

Tracking Whole-Brain Connectivity Dynamics in the Resting State

(2012) Elena A. Allen et al.   CEREBRAL CORTEX

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

(2012) R. Matthew Hutchison et al.   HUMAN BRAIN MAPPING

Periodic changes in fMRI connectivity

(2012) Daniel A. Handwerker et al.   NEUROIMAGE

Temporally-independent functional modes of spontaneous brain activity

(2012) S. M. Smith et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Decoding Subject-Driven Cognitive States with Whole-Brain Connectivity Patterns

(2011) W. R. Shirer et al.   CEREBRAL CORTEX

A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia

(2010) Ünal Sakoğlu et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans

(2010) Waqas Majeed et al.   NEUROIMAGE

Network modelling methods for FMRI

(2010) Stephen M. Smith et al.   NEUROIMAGE

Functional-Anatomic Fractionation of the Brain's Default Network

(2010) Jessica R. Andrews-Hanna et al.   NEURON

The Resting Brain: Unconstrained yet Reliable

(2009) Zarrar Shehzad et al.   CEREBRAL CORTEX

Time–frequency dynamics of resting-state brain connectivity measured with fMRI

(2009) Catie Chang et al.   NEUROIMAGE

Experience sampling during fMRI reveals default network and executive system contributions to mind wandering

(2009) K. Christoff et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The Brain's Default Network

(2008) Randy L. Buckner et al.   Annals of the New York Academy of Sciences

An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF

(2008) Qi-Hong Zou et al.   JOURNAL OF NEUROSCIENCE METHODS

The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis

(2008) Peter Fransson et al.   NEUROIMAGE