Brain Function Network: Higher Order vs. More Discrimination

Estimating Brain Functional Networks Based on Adaptively-Weighted fMRI Signals for MCI Identification

(2021) Huihui Chen et al.   Frontiers in Aging Neuroscience

Estimating sparse functional brain networks with spatial constraints for MCI identification

(2020) Yanfang Xue et al.   PLoS One

Dynamic neural circuit disruptions associated with antisocial behaviors

(2020) Weixiong Jiang et al.   HUMAN BRAIN MAPPING

Estimating sparse functional connectivity networks via hyperparameter-free learning model

(2020) Lei Sun et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network

(2019) Mingliang Wang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment

(2018) Yueying Zhou et al.   Frontiers in Neuroinformatics

Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification

(2017) Weikai Li et al.   Frontiers in Neuroinformatics

Alzheimer Classification Using a Minimum Spanning Tree of High-Order Functional Network on fMRI Dataset

(2017) Hao Guo et al.   Frontiers in Neuroscience

Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic-clonic seizure

(2016) Feng Liu et al.   HUMAN BRAIN MAPPING

High-order resting-state functional connectivity network for MCI classification

(2016) Xiaobo Chen et al.   HUMAN BRAIN MAPPING

Topographical Information-Based High-Order Functional Connectivity and Its Application in Abnormality Detection for Mild Cognitive Impairment

(2016) Han Zhang et al.   JOURNAL OF ALZHEIMERS DISEASE

A multi-modal parcellation of human cerebral cortex

(2016) Matthew F. Glasser et al.   NATURE

Estimating functional brain networks by incorporating a modularity prior

(2016) Lishan Qiao et al.   NEUROIMAGE

Building a Science of Individual Differences from fMRI

(2016) Julien Dubois et al.   TRENDS IN COGNITIVE SCIENCES

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

(2015) Tzu-Tsung Wong   PATTERN RECOGNITION

Group-PCA for very large fMRI datasets

(2014) Stephen M. Smith et al.   NEUROIMAGE

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging

(2014) Ludovica Griffanti et al.   NEUROIMAGE

Multivariate classification of social anxiety disorder using whole brain functional connectivity

(2013) Feng Liu et al.   Brain Structure & Function

Functional connectomics from resting-state fMRI

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

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Sparse Brain Network Recovery Under Compressed Sensing

(2011) Hyekyoung Lee et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

(2011) Jonathan D. Power et al.   NEUROIMAGE

Network modelling methods for FMRI

(2010) Stephen M. Smith et al.   NEUROIMAGE

Six problems for causal inference from fMRI

(2009) J.D. Ramsey et al.   NEUROIMAGE

Spatiotemporal nonlinearity in resting-state fMRI of the human brain

(2008) Xiaoping Xie et al.   NEUROIMAGE