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Large-scale Granger causality analysis on resting-state functional MRI

Adora M. D'Souza, Anas Zainul Abidin, Lutz Leistritz, Axel Wismüller, Barjor Gimi, Andrzej Krol
2016 Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging  
We conclude that our approach is capable of detecting causal influence between time series in a multivariate sense, which can be used to segment functionally connected networks in the resting-state fMRI  ...  , which can be used to reveal functionally connected networks within the brain.  ...  Large-scale Granger causality We use large-scale Granger Causality [4] to obtain a casual influence score between every pair of voxel time series in the resting state human brain.  ... 
doi:10.1117/12.2217264 pmid:29170585 pmcid:PMC5697152 dblp:conf/mibam/DSouzaALW16 fatcat:oe5u6twzhverbckgxkkrr6yyw4

Detecting directional influence in fMRI connectivity analysis using PCA based Granger causality

Zhenyu Zhou, Mingzhou Ding, Yonghong Chen, Paul Wright, Zuhong Lu, Yijun Liu
2009 Brain Research  
These results indicate that using PCA may improve upon application of existing GCMs in study of human brain effective connectivity.  ...  A fMRI connectivity analysis approach combining both principal component analysis (PCA) and Granger causality method (GCM) is proposed to study directional influence between functional brain regions.  ...  ) was proposed to examine effective connectivity over the human brain.  ... 
doi:10.1016/j.brainres.2009.06.096 pmid:19595679 pmcid:PMC2730503 fatcat:vjwwryjvbrc75oywdscty3isl4

A conditional Granger causality model approach for group analysis in functional magnetic resonance imaging

Zhenyu Zhou, Xunheng Wang, Nelson J. Klahr, Wei Liu, Diana Arias, Hongzhi Liu, Karen M. von Deneen, Ying Wen, Zuhong Lu, Dongrong Xu, Yijun Liu
2011 Magnetic Resonance Imaging  
Granger causality model (GCM) derived from multivariate vector autoregressive models of data has been employed to identify effective connectivity in the human brain with functional magnetic resonance imaging  ...  With the GLM-detected brain activation regions in the emotion-related cortex during the block design paradigm, the conditional GCM method was proposed to study the causality of the habituation between  ...  Brain networks have been primarily studied in terms of functional connectivity and effective connectivity.  ... 
doi:10.1016/j.mri.2010.10.008 pmid:21232892 pmcid:PMC3063394 fatcat:v3lraspotjctzeswofh4cecotm

Kernel Granger Causality Mapping Effective Connectivity on fMRI Data

Wei Liao, D. Marinazzo, Zhengyong Pan, Qiyong Gong, Huafu Chen
2009 IEEE Transactions on Medical Imaging  
Although it is accepted that linear Granger causality can reveal effective connectivity in functional magnetic resonance imaging (fMRI), the issue of detecting nonlinear connectivity has hitherto not been  ...  In this paper, we address kernel Granger causality (KGC) to describe effective connectivity in simulation studies and real fMRI data of a motor imagery task.  ...  CONCLUSION We have proposed kernel Granger causality to detect effective connectivity between different brain areas using fMRI data.  ... 
doi:10.1109/tmi.2009.2025126 pmid:19709972 fatcat:zykqnjbqozhdfd2jjilvu4xqgy

Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis

Anas Z. Abidin, Udaysankar Chockanathan, Adora M. DSouza, Matilde Inglese, Axel Wismüller, Barjor Gimi, Andrzej Krol
2017 Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging  
We test this hypothesis by capturing the effective relationships of 90 brain regions, defined in the Automated Anatomic Labeling (AAL) atlas, using a large-scale Granger Causality (lsGC) framework.  ...  At an early stage the inflammatory demyelination occurring in the CNS can manifest as a change in neuronal metabolism, with multiple asymptomatic white matter lesions detected in clinical MRI.  ...  Large-Scale Granger Causality Analysis We use large-scale Granger Causality [4] to obtain a casual influence score between every pair of voxel time series in the resting state human brain.  ... 
doi:10.1117/12.2254395 pmid:29167592 pmcid:PMC5695927 dblp:conf/mibam/AbidinCDIW17 fatcat:fveddp3ugrfgdhtl3iins3t7eq

Causality as a unifying approach between activation and connectivity analysis of fMRI data [article]

Nevio Dubbini
2011 arXiv   pre-print
We test our method on finger tapping data, in which GLM and Granger Causality approaches are compared in finding activations.  ...  This paper indicates causality as the tool that unifies the analysis of both activations and connectivity of brain areas, obtained with fMRI data.  ...  The Granger Causality, currently used to study connectivity of the brain areas, tests a causality measure to detect activations; the Gini index, a measure of "sparsity" of data, is employed in connection  ... 
arXiv:1102.5021v1 fatcat:pusvedu4rfa23kfde75jkog5lq

Eeg-based emotion recognition with brain network using independent components analysis and granger causality

Chen Dongwei, Wu Fang, Wang Zhen, Li Haifang, Chen Junjie
2013 2013 International Conference on Computer Medical Applications (ICCMA)  
Result suggested that a classification rate of about 88.75% was achieved in the human subject studied, thus it is feasible to discriminate emotional states with causal connectivity brain network and is  ...  In this paper, a causal connectivity brain network (CCBN) was firstly constructed based on multivariate autoregressive (MVAR) modeling, independent component analysis (ICA) and partial directed coherence  ...  Dynamic brain network is defined to reflect the causal connectivity and transient transmission of human brain.  ... 
doi:10.1109/iccma.2013.6506157 fatcat:r56phaswozcuxn4ftqav2igdou

Increasing fMRI Sampling Rate Improves Granger Causality Estimates

Fa-Hsuan Lin, Jyrki Ahveninen, Tommi Raij, Thomas Witzel, Ying-Hua Chu, Iiro P. Jääskeläinen, Kevin Wen-Kai Tsai, Wen-Jui Kuo, John W. Belliveau, Daniele Marinazzo
2014 PLoS ONE  
used in echo-planar fMRI, the causality could not be detected.  ...  We therefore conclude that the high-temporal resolution of InI improves the Granger causality connectivity analysis of the human brain.  ...  up entirely new possibilities for non-invasive imaging of effective connectivity in the human brain.  ... 
doi:10.1371/journal.pone.0100319 pmid:24968356 pmcid:PMC4072680 fatcat:knrv7shz5nazpmplzfj2u2cqry

Neural Connectivity in Epilepsy as Measured by Granger Causality

Robert Coben, Iman Mohammad-Rezazadeh
2015 Frontiers in Human Neuroscience  
We present data showing how Granger causality can be used with EEG data to measure connectivity across brain regions involved in ictal events and their resolution.  ...  EEG data of ictal events are processed, converted to independent components and their dipole localizations, and these are used to measure causality and connectivity between these locations.  ...  Effective connectivity can be used to understand causal relationships between entities of the brain network and prediction of the activity of one brain structure by the incorporation of information from  ... 
doi:10.3389/fnhum.2015.00194 pmid:26236211 pmcid:PMC4500918 fatcat:aeade2bjc5a4tlx7m67n4c3wwy

Top-Down Influences of Spatial Attention in Visual Cortex

S. E. Bouvier
2009 Journal of Neuroscience  
Recently, several methods of inferring functional connections between brain regions have been advanced for use with fMRI data, including Granger causality (Roebroeck et al., 2005) .  ...  Applied to fMRI data, Granger causality can be used to test the influence of one brain area (source) on another (target).  ...  Recently, several methods of inferring functional connections between brain regions have been advanced for use with fMRI data, including Granger causality (Roebroeck et al., 2005) .  ... 
doi:10.1523/jneurosci.5611-08.2009 pmid:19211866 pmcid:PMC6666300 fatcat:ofa647ukgndfnngeafnupdqine

Analysing connectivity with Granger causality and dynamic causal modelling

Karl Friston, Rosalyn Moran, Anil K Seth
2013 Current Opinion in Neurobiology  
We focus on detecting and estimating directed connectivity in neuronal networks using Granger causality (GC) and dynamic causal modelling (DCM).  ...  GC and DCM have distinct and complementary ambitions that are usefully considered in relation to the detection of functional connectivity and the identification of models of effective connectivity.  ...  that could explain spectral differences between healthy human Figure 1 1 Figure 1 Granger causality (GC) is first applied to fMRI time-series using the method of 'Granger causality mapping' (GCM) from  ... 
doi:10.1016/j.conb.2012.11.010 pmid:23265964 pmcid:PMC3925802 fatcat:nwo47mva5ndo7meusc7snjj2m4

Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality

Guo-Rong Wu, Wei Liao, Sebastiano Stramaglia, Huafu Chen, Daniele Marinazzo
2013 Brain Connectivity  
Granger causality analysis is a valuable tool to detect directed dynamical connectivity and it is being increasingly used.  ...  Recovering directed pathways of information transfer between brain areas is an important issue in neuroscience and helps to shed light on brain function in several physiological and cognitive states.  ...  This integration between distant brain areas can be detected with analysis of functional and effective connectivity.  ... 
doi:10.1089/brain.2013.0142 pmid:23530810 pmcid:PMC3685317 fatcat:kbrfwlgdyzhzzapzlubtm3aypu

Elastic-Net Copula Granger Causality for Inference of Biological Networks

Mohammad Shaheryar Furqan, Mohammad Yakoob Siyal, Enrique Hernandez-Lemus
2016 PLoS ONE  
Among these networks analysis, most of the research focus is towards understanding effective brain connectivity and gene networks in order to cure and prevent related diseases like Alzheimer and cancer  ...  It involves decoding various complex biological networks that are responsible for performing diverse functions in human body.  ...  Moreover, the effective brain map involved in human deductive reasoning is shown in Fig 5 .  ... 
doi:10.1371/journal.pone.0165612 pmid:27792750 pmcid:PMC5085021 fatcat:ba743z4ahzg43iynbyh3zpdjrm

Disorganization of Equilibrium Directional Interactions in the Brain Motor Network of Parkinson's disease: New Insight of Resting State Analysis Using Granger Causality and Graphical Approach

Mahdieh Ghasemi, Ali Mahloojifar
2013 Journal of Medical Signals & Sensors  
In this paper, we aimed to disclose the network structure of the directed influences over the brain using multivariate Granger causality analysis and graph theory in patients with PD as compared with control  ...  Particular changes related to various pathological attacks in PD could result in causal interactions of the brain network from resting state functional magnetic resonance imaging (rs-fMRI) data.  ...  Granger Causality Network of the Brain A directed network can illustrate the interpretation of the measured effective connectivity.  ... 
pmid:24098860 pmcid:PMC3788196 fatcat:mj46hswpqfa67brow6ecx4tgcu

Nonlinear connectivity by Granger causality

Daniele Marinazzo, Wei Liao, Huafu Chen, Sebastiano Stramaglia
2011 NeuroImage  
While DCM models nonlinear couplings, Granger causality, which constitutes a major tool to reveal effective connectivity, and is widely used to analyze EEG/MEG data as well as fMRI signals, is usually  ...  The state of the art to understand the communication between brain systems are dynamic causal modeling (DCM) and Granger causality.  ...  Distinction between function and effective connectivity Granger causal analysis occupies an interesting and intermediate position between functional and effective connectivity (Friston, 2011this issue  ... 
doi:10.1016/j.neuroimage.2010.01.099 pmid:20132895 fatcat:ifh3kc2corcknbtvrrwxhpzaqe
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