Time-series clustering–a decade review
Clustering is a solution for classifying enormous data when there is not any early knowledge
about classes. With emerging new concepts like cloud computing and big data and their vast …
about classes. With emerging new concepts like cloud computing and big data and their vast …
Exploring the brain network: a review on resting-state fMRI functional connectivity
Our brain is a network. It consists of spatially distributed, but functionally linked regions that
continuously share information with each other. Interestingly, recent advances in the …
continuously share information with each other. Interestingly, recent advances in the …
Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …
Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
Neurodegenerative diseases target large-scale human brain networks
During development, the healthy human brain constructs a host of large-scale, distributed,
function-critical neural networks. Neurodegenerative diseases have been thought to target …
function-critical neural networks. Neurodegenerative diseases have been thought to target …
A whole brain fMRI atlas generated via spatially constrained spectral clustering
Connectivity analyses and computational modeling of human brain function from fMRI data
frequently require the specification of regions of interests (ROIs). Several analyses have …
frequently require the specification of regions of interests (ROIs). Several analyses have …
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 …
investigate the functional architecture of the brain. Application of this technique has allowed …
Spatio-temporal data mining: A survey of problems and methods
Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …
domains, including climate science, social sciences, neuroscience, epidemiology …
Groupwise whole-brain parcellation from resting-state fMRI data for network node identification
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 …
nodes for network analysis. The application of network-theory-based analysis to extend the …
Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion
Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to
delineate individual-specific brain networks. A major question is whether individual-specific …
delineate individual-specific brain networks. A major question is whether individual-specific …