Published in Front Hum Neurosci on December 27, 2016
ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation. Front Neuroinform (2017) 0.75
Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci (2009) 27.56
A fast diffeomorphic image registration algorithm. Neuroimage (2007) 21.56
Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci U S A (2006) 19.60
A general framework for weighted gene co-expression network analysis. Stat Appl Genet Mol Biol (2005) 17.23
Correspondence of the brain's functional architecture during activation and rest. Proc Natl Acad Sci U S A (2009) 16.93
Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci (2005) 16.87
Mapping the structural core of human cerebral cortex. PLoS Biol (2008) 16.38
The human connectome: A structural description of the human brain. PLoS Comput Biol (2005) 14.12
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging. Nat Neurosci (2003) 10.44
Predicting human resting-state functional connectivity from structural connectivity. Proc Natl Acad Sci U S A (2009) 10.36
Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp (1998) 9.93
Movement-related effects in fMRI time-series. Magn Reson Med (1996) 8.87
The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol (2011) 8.79
fMRI resting state networks define distinct modes of long-distance interactions in the human brain. Neuroimage (2005) 8.61
Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex (2005) 7.87
Functional network organization of the human brain. Neuron (2011) 7.72
DPARSF: A MATLAB Toolbox for "Pipeline" Data Analysis of Resting-State fMRI. Front Syst Neurosci (2010) 7.69
Prediction of individual brain maturity using fMRI. Science (2010) 7.29
Network modelling methods for FMRI. Neuroimage (2010) 6.61
Regional homogeneity approach to fMRI data analysis. Neuroimage (2004) 6.28
SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans Pattern Anal Mach Intell (2012) 5.87
Defining functional areas in individual human brains using resting functional connectivity MRI. Neuroimage (2008) 5.50
Whole-brain anatomical networks: does the choice of nodes matter? Neuroimage (2009) 4.43
Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. Proc Natl Acad Sci U S A (2004) 4.19
A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage (2013) 3.96
A parcellation scheme for human left lateral parietal cortex. Neuron (2010) 3.80
A whole brain fMRI atlas generated via spatially constrained spectral clustering. Hum Brain Mapp (2011) 3.75
BrainNet Viewer: a network visualization tool for human brain connectomics. PLoS One (2013) 3.74
A multi-modal parcellation of human cerebral cortex. Nature (2016) 3.34
Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI. J Neurosci (2011) 3.31
Decoding the role of the insula in human cognition: functional parcellation and large-scale reverse inference. Cereb Cortex (2012) 3.28
Hierarchical clustering to measure connectivity in fMRI resting-state data. Magn Reson Imaging (2002) 3.04
Normalized cut group clustering of resting-state FMRI data. PLoS One (2008) 2.92
Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Hum Brain Mapp (2009) 2.91
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nat Neurosci (2015) 2.80
Resting-state fMRI in the Human Connectome Project. Neuroimage (2013) 2.78
Centenary of Brodmann's map--conception and fate. Nat Rev Neurosci (2010) 2.40
Cluster-based analysis of FMRI data. Neuroimage (2006) 2.22
Multi-level bootstrap analysis of stable clusters in resting-state fMRI. Neuroimage (2010) 2.14
Functional System and Areal Organization of a Highly Sampled Individual Human Brain. Neuron (2015) 2.11
Concepts and principles in the analysis of brain networks. Ann N Y Acad Sci (2011) 2.02
Graph analysis of the human connectome: promise, progress, and pitfalls. Neuroimage (2013) 1.80
On clustering fMRI time series. Neuroimage (1999) 1.80
Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: functional connectivity-based parcellation method. Neuroimage (2009) 1.69
Network attributes for segregation and integration in the human brain. Curr Opin Neurobiol (2013) 1.68
Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. Cereb Cortex (2014) 1.68
Connectivity-based parcellation of human cortex using diffusion MRI: Establishing reproducibility, validity and observer independence in BA 44/45 and SMA/pre-SMA. Neuroimage (2006) 1.66
Spatially constrained hierarchical parcellation of the brain with resting-state fMRI. Neuroimage (2013) 1.55
Groupwise whole-brain parcellation from resting-state fMRI data for network node identification. Neuroimage (2013) 1.48
Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models. Neuroimage (2008) 1.48
Connectivity-based parcellation of the human orbitofrontal cortex. J Neurosci (2012) 1.45
Identification of large-scale networks in the brain using fMRI. Neuroimage (2005) 1.45
Graph-theory based parcellation of functional subunits in the brain from resting-state fMRI data. Neuroimage (2010) 1.37
Supervoxel-based segmentation of mitochondria in em image stacks with learned shape features. IEEE Trans Med Imaging (2011) 1.30
The parcellation-based connectome: limitations and extensions. Neuroimage (2013) 1.29
Detecting low-frequency functional connectivity in fMRI using a self-organizing map (SOM) algorithm. Hum Brain Mapp (2003) 1.28
A hierarchical clustering method for analyzing functional MR images. Magn Reson Imaging (1999) 1.23
An approach for parcellating human cortical areas using resting-state correlations. Neuroimage (2013) 1.13
Which fMRI clustering gives good brain parcellations? Front Neurosci (2014) 1.09
Detecting network modules in fMRI time series: a weighted network analysis approach. Neuroimage (2010) 1.07
Region growing method for the analysis of functional MRI data. Neuroimage (2003) 1.05
Defining nodes in complex brain networks. Front Comput Neurosci (2013) 1.02
A neuromarker of sustained attention from whole-brain functional connectivity. Nat Neurosci (2015) 1.02
Connectivity-based parcellation: Critique and implications. Hum Brain Mapp (2015) 1.01
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture. Cereb Cortex (2016) 1.00
Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns. Proc Natl Acad Sci U S A (2015) 0.99
Does functional MRI detect activation in white matter? A review of emerging evidence, issues, and future directions. Front Neurosci (2014) 0.94
A hierarchical method for whole-brain connectivity-based parcellation. Hum Brain Mapp (2014) 0.93
Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging. Cereb Cortex (2013) 0.92
Cluster analysis of fMRI data using dendrogram sharpening. Hum Brain Mapp (2003) 0.90
Connectivity-based parcellation of the human posteromedial cortex. Cereb Cortex (2012) 0.90
A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI. Neuroimage (2012) 0.89
Interoperable atlases of the human brain. Neuroimage (2014) 0.83
EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING. Proc IEEE Int Conf Acoust Speech Signal Process (2009) 0.82
Hierarchical information-based clustering for connectivity-based cortex parcellation. Front Neuroinform (2011) 0.81
Group-wise parcellation of the cortex through multi-scale spectral clustering. Neuroimage (2016) 0.78
To cut or not to cut? Assessing the modular structure of brain networks. Neuroimage (2014) 0.78
Development and validation of consensus clustering-based framework for brain segmentation using resting fMRI. J Neurosci Methods (2014) 0.77
Optimizing affinity measures for parcellating brain structures based on resting state fMRI data: a validation on medial superior frontal cortex. J Neurosci Methods (2014) 0.76