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Stroke-related alterations in inter-areal communication revealed via Granger causality analysis [article]

Michele Allegra, Chiara Favaretto, Nicholas Metcalf, Maurizio Corbetta, Andrea Brovelli
2021 bioRxiv   pre-print
To this aim, we used resting-state fMRI and Granger causality analysis to quantify information transfer between brain areas and its alteration in stroke.  ...  While causing local ischemia and cell damage at the site of injury, stroke strongly perturbs the functional organization of brain networks at large.  ...  Stroke-related modulations in inter-and intra-hemispheric coupling revealed by Granger causality analyses One of the major functional effects of stroke is a loss of inter-hemispheric integration associated  ... 
doi:10.1101/2021.01.04.425190 fatcat:sn26fjqydfbgxnm73wl5t36cci

Granger causality analysis of fMRI BOLD signals is invariant to hemodynamic convolution but not downsampling

Anil K. Seth, Paul Chorley, Lionel C. Barnett
2013 NeuroImage  
be easily confounded by inter-regional differences in the hemodynamic response function.  ...  Granger causality is a method for identifying directed functional connectivity based on time series analysis of precedence and predictability.  ...  Acknowledgments We gratefully acknowledge support from the EPSRC (Leadership Fellowship EP/G007543/1 to AKS, Ph.D. studentship to PC) and the Dr.  ... 
doi:10.1016/j.neuroimage.2012.09.049 pmid:23036449 fatcat:vlaklpkiuvglzamis4r2i5ygzm

Development of Effective Connectivity during Own- and Other-Race Face Processing: A Granger Causality Analysis

Guifei Zhou, Jiangang Liu, Xiao Pan Ding, Genyue Fu, Kang Lee
2016 Frontiers in Human Neuroscience  
To investigate further the differential causal connectivity for own-race faces and other-race faces at the group level, a repeated measure analysis of variance (ANOVA) was performed on the GCA weights  ...  for each pair of channels with the face race task (own-race face vs. other-race face) as the within-subject variable and the age as a between-subject factor (continuous variable).  ...  and the age as the between-subject factor (continuous variable).  ... 
doi:10.3389/fnhum.2016.00474 pmid:27713696 pmcid:PMC5031708 fatcat:7pvrnaafevholatqpfkmda5eca

Multi-subject analyses with dynamic causal modeling

Christian Herbert Kasess, Klaas Enno Stephan, Andreas Weissenbacher, Lukas Pezawas, Ewald Moser, Christian Windischberger
2010 NeuroImage  
Based on simulated data generated from a two-region network we examined the effects of signal-to-noise ratio (SNR) and population heterogeneity on group-level parameter estimates.  ...  Based on simulated data generated from a two-region network we examined the effects of signalto-noise ratio (SNR) and population heterogeneity on group-level parameter estimates.  ...  causality (GC; (Goebel et al., 2003; Granger, 1969 Granger, , 1980 ) and, most recently, dynamic causal modeling (DCM; ).  ... 
doi:10.1016/j.neuroimage.2009.11.037 pmid:19941963 pmcid:PMC2837922 fatcat:x26ms2nntbcolkbjpcsft73ca4

Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain

Allegra Conti, Andrea Duggento, Maria Guerrisi, Luca Passamonti, Iole Indovina, Nicola Toschi
2019 Entropy  
We aimed to fill this gap by analyzing and comparing the inter- and intra-subject variability of connectivity matrices, as well as graph-theoretical measures, in a large (n = 1003) database of young healthy  ...  Our results warrant caution in the interpretation of connectivity studies, and serve as a benchmark for future investigations by providing quantitative estimates for the inter- and intra-subject variabilities  ...  In both intra-and inter-subject variability we found a significant effect of node (p = 1.1e-4).  ... 
doi:10.3390/e21070661 pmid:33267375 fatcat:ywhxmoamkfayrfm3ofn3nrsibm

Mapping the Voxel-Wise Effective Connectome in Resting State fMRI

Guo-Rong Wu, Sebastiano Stramaglia, Huafu Chen, Wei Liao, Daniele Marinazzo, Pedro Antonio Valdes-Sosa
2013 PLoS ONE  
To reconstruct full brain effective connectivity network and study its topological organization, we present a novel approach to multivariate Granger causality which integrates information theory and the  ...  We for the first time depicted the voxel-wise hubs of incoming and outgoing information, called Granger causality density (GCD), as a complement to previous repertoire of functional and anatomical connectomes  ...  To cope with dimensionality issues for voxel-wise Granger causality and to decouple the neuronal activity and hemodynamic responses of resting-state fMRI, we proposed the partially conditioned Granger  ... 
doi:10.1371/journal.pone.0073670 pmid:24069220 pmcid:PMC3771991 fatcat:p66g77eu2bfs5fc2bjsvzjdz4a

Multi-Scale Information, Network, Causality, and Dynamics: Mathematical Computation and Bayesian Inference to Cognitive Neuroscience and Aging [chapter]

Michelle Yongmei
2013 Functional Brain Mapping and the Endeavor to Understand the Working Brain  
Acknowledgements Preparation of this chapter is supported in part by a grant from the National Institute of Aging, K25AG033725.  ...  Author details Michelle Yongmei Wang * Address all correspondence to: Departments of Statistics, Psychology, and Bioengineering, Beckman Institute, University of Illinois at Urbana-Champaign  ...  [84] aimed to extrapolate BN results from one subject to an entire population while addressing inter-subject, within-group variability.  ... 
doi:10.5772/55262 fatcat:go2r6jruyzdqrp4lqcnt64j7va

Patterns of effective connectivity during memory encoding and retrieval differ between patients with mild cognitive impairment and healthy older adults

B.M. Hampstead, M. Khoshnoodi, W. Yan, G. Deshpande, K. Sathian
2016 NeuroImage  
Here we employed multivariate Granger causality analysis using autoregressive modeling of inferred neuronal time series obtained by deconvolving the hemodynamic response function from measured blood oxygenation  ...  level-dependent (BOLD) time series data, in order to examine the effective connectivity between brain regions during successful encoding and/or retrieval of object location associations in MCI patients  ...  Acknowledgments This work was supported by the Emory Alzheimer's Disease Research Center, National Institute on Aging (Grant 2P50AG025688) and Department of Veterans Affairs (B6366W to BMH), and was presented  ... 
doi:10.1016/j.neuroimage.2015.10.002 pmid:26458520 pmcid:PMC5619652 fatcat:abegwp3lzrdvhmlvxir2rx5mzq

Variations in Information Flow Patterns Following Intracranial Hypertensive Events in Traumatic Brain Injured Patients

Tariq Shahzad, Saqib Saleem, Tshilidzi Marwala, Khmaies Ouahada
2021 IEEE Access  
causal analysis 325 [42], [46] . 326 The effect of intracranial hypertension on TBI patients is 327 complex.  ...  which might be explored by using GC 104 analysis, and secondly on the association of intra-individual 105 variability with the ICP elevation that may be measured 106 with the coefficient of variation  ... 
doi:10.1109/access.2021.3108636 fatcat:wey5jcroxfhylbm4fmcizsptsy

Mapping directed influence over the brain using Granger causality and fMRI

Alard Roebroeck, Elia Formisano, Rainer Goebel
2005 NeuroImage  
Instead, GCM relies on the concept of Granger causality to define the existence and direction of influence from information in the data.  ...  The presented exploratory approach of mapping influences between a region of interest and the rest of the brain can form a useful complement to existing models of effective connectivity.  ...  This shows the value of the VAR model in quantifying Granger causality between (groups of) components.  ... 
doi:10.1016/j.neuroimage.2004.11.017 pmid:15734358 fatcat:7hl2kqbfa5fyxkqeaudgqci2ze

Exploring large-scale brain networks in functional MRI

Guillaume Marrelec, Pierre Bellec, Habib Benali
2006 Journal of Physiology - Paris  
We review some of the key concepts and corresponding methods to cope with both issues.  ...  Increasing emphasis has been recently put on large-scale network processing of brain functions.  ...  Acknowledgements The authors wish to thank an anonymous referee for improving the quality of this manuscript and Barry Horwitz for providing us with an historical perspective on functional connectivity  ... 
doi:10.1016/j.jphysparis.2007.01.003 pmid:17344038 fatcat:r5o6cg57zrfu7mspi7w77msgpe

Driving and Driven Architectures of Directed Small-World Human Brain Functional Networks

Chaogan Yan, Yong He, Michal Zochowski
2011 PLoS ONE  
Recently, increasing attention has been focused on the investigation of the human brain connectome that describes the patterns of structural and functional connectivity networks of the human brain.  ...  Here, we applied linear multivariate Granger causality analysis (GCA) and graph theoretical approaches to a resting-state functional MRI dataset with a large cohort of young healthy participants (n = 86  ...  Yufeng Zang for kindly providing the dataset and valuable suggestions. We also thank the two anonymous referees for their constructive comments.  ... 
doi:10.1371/journal.pone.0023460 pmid:21858129 pmcid:PMC3155571 fatcat:zckgwz6vyjhszchthomvoqlbfm

Social neuroscience and hyperscanning techniques: Past, present and future

Fabio Babiloni, Laura Astolfi
2014 Neuroscience and Biobehavioral Reviews  
This paper reviews the published literature on the hyperscanning methodologies using hemodynamic or neuro-electric modalities.  ...  This review also included papers based on single-subject recordings in which a correlation was found between the activities of different (non-simultaneously recorded) participants in the experiment.  ...  Acknowledgments This work was supported in part by NIH RO1EB006433, by the Compagnia di San Paolo within the Project "Social and Emotive Hyperbrain", and by the Minister of Foreign Affairs within the framework  ... 
doi:10.1016/j.neubiorev.2012.07.006 pmid:22917915 pmcid:PMC3522775 fatcat:ksgrqi2kzbe2nowvy7xeuiekbi

Intra- and inter-hemispheric effective connectivity in the human somatosensory cortex during pressure stimulation

Yoon Chung, Sang Han, Hyung-Sik Kim, Soon-Cheol Chung, Jang-Yeon Park, Christian Wallraven, Sung-Phil Kim
2014 BMC Neuroscience  
The network consists of parallel inputs to both cSI and cSII (intra-hemispheric), followed by serial pathways from cSI to cSII (intra-hemispheric) and from cSII to iSII (inter-hemispheric).  ...  DCM analysis also revealed inter-hemispheric effective connectivity among cSI, cSII, and the ipsilateral SII (iSII) characterized by serial (from cSI to cSII) and SII-level (from cSII to iSII) pathways  ...  neural activity and BOLD hemodynamic responses [25, 26] ; (3) it is less liable to be affected by the variability of hemodynamic response functions [30, 31] ; and (4) it provides modeling of effective  ... 
doi:10.1186/1471-2202-15-43 pmid:24649878 pmcid:PMC3994419 fatcat:7wuau4x2j5crvb4gjjqccdt4m4

A Linear Structural Equation Model for Covert Verb Generation Based on Independent Component Analysis of fMRI Data from Children and Adolescents

Prasanna Karunanayaka, Vincent J. Schmithorst, Jennifer Vannest, Jerzy P. Szaflarski, Elena Plante, Scott K. Holland
2011 Frontiers in Systems Neuroscience  
at the group level and used in the subsequent subject level LSEM analysis.  ...  Several, other investigations have further highlighted the usefulness of combining ICA with Granger causality on simulated, single subject and group data (Londei et al., 2006 (Londei et al., , 2007 (Londei  ... 
doi:10.3389/fnsys.2011.00029 pmid:21660108 pmcid:PMC3106180 fatcat:dw7r2xcax5fbln6mrwxch3hn2u
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