ArticlePLoS computational biology2009
A novel extended Granger Causal Model approach demonstrates brain hemispheric differences during face recognition learning.
Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- The Impact of Alpha-Neurofeedback Training on Gastric Slow Wave Activity and Heart Rate Variability in Humans.Neurogastroenterology and motility · 2025Trial
- Construction of functional brain connectivity networks from fMRI data with driving and modulatory inputs: an extended conditional Granger causality approach.AIMS neuroscience · 2020Article
- Estimation of Vector Autoregressive Parameters and Granger Causality From Noisy Multichannel Data.IEEE transactions on bio-medical engineering · 2019Article
- Granger causality network reconstruction of conductance-based integrate-and-fire neuronal systems.PloS one · 2014Article
- Spatio-temporal Granger causality: a new framework.NeuroImage · 2013Article
- Attention-dependent modulation of cortical taste circuits revealed by Granger causality with signal-dependent noise.PLoS computational biology · 2013Article
- Pattern classification of large-scale functional brain networks: identification of informative neuroimaging markers for epilepsy.PloS one · 2012Article
- Article
- Learning alters theta amplitude, theta-gamma coupling and neuronal synchronization in inferotemporal cortex.BMC neuroscience · 2011Article
- Article
- Effective Connectivity Modeling for fMRI: Six Issues and Possible Solutions Using Linear Dynamic Systems.Frontiers in systems neuroscience · 2011Article
- Affective cognition and its disruption in mood disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2011Review
- Rhythmic dynamics and synchronization via dimensionality reduction: application to human gait.PLoS computational biology · 2010Article
- Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach.BMC bioinformatics · 2010Article
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Authors and funding
3 authors.
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Abstract
Two main approaches in exploring causal relationships in biological systems using time-series data are the application of Dynamic Causal model (DCM) and Granger Causal model (GCM). These have been extensively applied to brain imaging data and are also readily applicable to a wide range of temporal changes involving genes, proteins or metabolic pathways. However, these two approaches have always been considered to be radically different from each other and therefore used independently. Here we present a novel approach which is an extension of Granger Causal model and also shares the features of the bilinear approximation of Dynamic Causal model. We have first tested the efficacy of the extended GCM by applying it extensively in toy models in both time and frequency domains and then applied it to local field potential recording data collected from in vivo multi-electrode array experiments. We demonstrate face discrimination learning-induced changes in inter- and intra-hemispheric connectivity and in the hemispheric predominance of theta and gamma frequency oscillations in sheep inferotemporal cortex. The results provide the first evidence for connectivity changes between and within left and right inferotemporal cortexes as a result of face recognition learning.
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