相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A new model for simultaneous dimensionality reduction and time-varying functional connectivity estimation
Diego Vidaurre
PLOS COMPUTATIONAL BIOLOGY (2021)
Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
A. B. A. Stevner et al.
NATURE COMMUNICATIONS (2019)
Latent resting-state network dynamics in boys and girls with attention-deficit/hyperactivity disorder
John E. Scofield et al.
PLOS ONE (2019)
Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network
Akhil Kottaram et al.
HUMAN BRAIN MAPPING (2019)
A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data
Ryan Warnick et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2018)
Discovering dynamic brain networks from big data in rest and task
Diego Vidaurre et al.
NEUROIMAGE (2018)
Age-related changes in the ease of dynamical transitions in human brain activity
Takahiro Ezaki et al.
HUMAN BRAIN MAPPING (2018)
Predictive assessment of models for dynamic functional connectivity
Soren F. V. Nielsen et al.
NEUROIMAGE (2018)
Altered temporal stability in dynamic neural networks underlies connectivity changes in neurodevelopment
Matthew J. Brookes et al.
NEUROIMAGE (2018)
Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition
Jalil Taghia et al.
NATURE COMMUNICATIONS (2018)
Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
Diego Vidaurre et al.
NATURE COMMUNICATIONS (2018)
Selecting the Number of States in Hidden Markov Models: Pragmatic Solutions Illustrated Using Animal Movement
Jennifer Pohle et al.
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS (2017)
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI
Jalil Taghia et al.
NEUROIMAGE (2017)
Energy landscape analysis of neuroimaging data
Takahiro Ezaki et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2017)
Brain network dynamics are hierarchically organized in time
Diego Vidaurre et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)
Brain network dynamics in high-functioning individuals with autism
Takamitsu Watanabe et al.
NATURE COMMUNICATIONS (2017)
A multi-modal parcellation of human cerebral cortex
Matthew F. Glasser et al.
NATURE (2016)
Spectrally resolved fast transient brain states in electrophysiological data
Diego Vidaurre et al.
NEUROIMAGE (2016)
Temporal Dynamics and Developmental Maturation of Salience, Default and Central-Executive Network Interactions Revealed by Variational Bayes Hidden Markov Modeling
Srikanth Ryali et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
Rethinking segregation and integration: contributions of whole-brain modelling
Gustavo Deco et al.
NATURE REVIEWS NEUROSCIENCE (2015)
Tracking Whole-Brain Connectivity Dynamics in the Resting State
Elena A. Allen et al.
CEREBRAL CORTEX (2014)
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
Ludovica Griffanti et al.
NEUROIMAGE (2014)
MSM: A new flexible framework for Multimodal Surface Matching
Emma C. Robinson et al.
NEUROIMAGE (2014)
The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery
Vince D. Calhoun et al.
NEURON (2014)
Energy landscape and dynamics of brain activity during human bistable perception
Takamitsu Watanabe et al.
NATURE COMMUNICATIONS (2014)
Fast transient networks in spontaneous human brain activity
Adam P. Baker et al.
ELIFE (2014)
Energy landscapes of resting-state brain networks
Takamitsu Watanabe et al.
FRONTIERS IN NEUROINFORMATICS (2014)
The Human Connectome Project: A data acquisition perspective
D. C. Van Essen et al.
NEUROIMAGE (2012)
Large-scale brain networks and psychopathology: a unifying triple network model
Vinod Menon
TRENDS IN COGNITIVE SCIENCES (2011)
Hidden semi-Markov models
Shun-Zheng Yu
ARTIFICIAL INTELLIGENCE (2010)
Large-scale brain networks in cognition: emerging methods and principles
Steven L. Bressler et al.
TRENDS IN COGNITIVE SCIENCES (2010)
Automatic selection of ROIs in functional imaging using Gaussian mixture models
J. M. Gorriz et al.
NEUROSCIENCE LETTERS (2009)
Selecting hidden Markov model state number with cross-validated likelihood
Gilles Celeux et al.
COMPUTATIONAL STATISTICS (2008)
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
MD Fox et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2005)
Probabilistic independent component analysis for functional magnetic resonance imaging
CF Beckmann et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2004)
Hidden Markov processes
Y Ephraim et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2002)
A default mode of brain function
ME Raichle et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
分享论文
