Altered Effective Connectivity among Core Neurocognitive Networks in Idiopathic Generalized Epilepsy: An fMRI Evidence

Idiopathic generalized epilepsy (IGE) patients with generalized tonic-clonic seizures (GTCS) suffer long-term cognitive impairments, and present a higher incidence of psychosocial and psychiatric disturbances than healthy people. It is possible that the cognitive dysfunctions and higher psychopathological risk in IGE-GTCS derive from disturbed causal relationship among core neurocognitive brain networks. To test this hypothesis, we examined the effective connectivity across the salience network (SN), default mode network (DMN), and central executive network (CEN) using resting-state functional magnetic resonance imaging (fMRI) data collected from 27 IGE-GTCS patients and 29 healthy controls. In the study, a combination framework of time domain and frequency domain multivariate Granger causality analysis was firstly proposed, and proved to be valid and accurate by simulation experiments. Using this method, we then observed significant differences in the effective connectivity graphs between the patient and control groups. Specifically, between-group statistical analysis revealed that relative to the healthy controls, the patients established significantly enhanced Granger causal influence from the dorsolateral prefrontal cortex to the dorsal anterior cingulate cortex, which is coherent both in the time and frequency domains analyses. Meanwhile, time domain analysis also revealed decreased Granger causal influence from the right fronto-insular cortex to the posterior cingulate cortex in the patients. These findings may provide new evidence for functional brain organization disruption underlying cognitive dysfunctions and psychopathological risk in IGE-GTCS.

[1]  G. Baker,et al.  The associations of psychopathology in epilepsy: a community study , 1996, Epilepsy Research.

[2]  D. Hu,et al.  Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. , 2012, Brain : a journal of neurology.

[3]  Mingzhou Ding,et al.  Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance , 2001, Biological Cybernetics.

[4]  M. Paulus,et al.  An Insular View of Anxiety , 2006, Biological Psychiatry.

[5]  E. F. Donnelly,et al.  Psychological and Neurological Comparisons of Psychomotor and Non‐Psychomotor Epileptic Patients , 1970, Epilepsia.

[6]  Kaustubh Supekar,et al.  Dynamic Reconfiguration of Structural and Functional Connectivity Across Core Neurocognitive Brain Networks with Development , 2011, The Journal of Neuroscience.

[7]  Karl J. Friston,et al.  Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[8]  E. Miller,et al.  An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.

[9]  Peter F. Liddle,et al.  Aberrant salience network (bilateral insula and anterior cingulate cortex) connectivity during information processing in schizophrenia , 2010, Schizophrenia Research.

[10]  C. Segebarth,et al.  Identifying Neural Drivers with Functional MRI: An Electrophysiological Validation , 2008, PLoS biology.

[11]  Maryse Lassonde,et al.  Idiopathic epileptic syndromes and cognition , 2006, Neuroscience & Biobehavioral Reviews.

[12]  R. Elwes,et al.  Impaired cognitive function in idiopathic generalized epilepsy and unaffected family members: An epilepsy endophenotype , 2014, Epilepsia.

[13]  Justin L. Vincent,et al.  Distinct brain networks for adaptive and stable task control in humans , 2007, Proceedings of the National Academy of Sciences.

[14]  Guorong Wu,et al.  A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data , 2012, Medical Image Anal..

[15]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[16]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[17]  Vince D. Calhoun,et al.  Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data , 2010, NeuroImage.

[18]  Remco J. Renken,et al.  The effect of intra- and inter-subject variability of hemodynamic responses on group level Granger causality analyses , 2011, NeuroImage.

[19]  Karl J. Friston,et al.  Dynamic causal modelling , 2003, NeuroImage.

[20]  Jonathan D. Cohen,et al.  Conflict monitoring and anterior cingulate cortex: an update , 2004, Trends in Cognitive Sciences.

[21]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[22]  J. P. Hamilton,et al.  Investigating neural primacy in Major Depressive Disorder: Multivariate granger causality analysis of resting-state fMRI time-series data , 2010, Molecular Psychiatry.

[23]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[24]  Carlos E. Thomaz,et al.  Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for fMRI data analysis , 2010, NeuroImage.

[25]  Peter Boesiger,et al.  The relationship between aberrant neuronal activation in the pregenual anterior cingulate, altered glutamatergic metabolism, and anhedonia in major depression. , 2009, Archives of general psychiatry.

[26]  Anil K. Seth,et al.  A MATLAB toolbox for Granger causal connectivity analysis , 2010, Journal of Neuroscience Methods.

[27]  J. Cohen,et al.  Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. , 2000, Science.

[28]  V. Menon,et al.  Saliency, switching, attention and control: a network model of insula function , 2010, Brain Structure and Function.

[29]  Mariko Osaka,et al.  Cooperation of the anterior cingulate cortex and dorsolateral prefrontal cortex for attention shifting , 2004, NeuroImage.

[30]  J. Geweke,et al.  Measures of Conditional Linear Dependence and Feedback between Time Series , 1984 .

[31]  Jonathan D. Power,et al.  Multi-task connectivity reveals flexible hubs for adaptive task control , 2013, Nature Neuroscience.

[32]  Jonathan D. Cohen,et al.  Anterior Cingulate Conflict Monitoring and Adjustments in Control , 2004, Science.

[33]  K. Kendrick,et al.  Partial Granger causality—Eliminating exogenous inputs and latent variables , 2008, Journal of Neuroscience Methods.

[34]  Rainer Goebel,et al.  Mapping directed influence over the brain using Granger causality and fMRI , 2005, NeuroImage.

[35]  Jerome Engel,et al.  A Proposed Diagnostic Scheme for People with Epileptic Seizures and with Epilepsy: Report of the ILAE Task Force on Classification and Terminology , 2001, Epilepsia.

[36]  V. Menon Large-scale brain networks and psychopathology: a unifying triple network model , 2011, Trends in Cognitive Sciences.

[37]  P. Thomas,et al.  Psychiatric Disorders in Juvenile Myoclonic Epilepsy , 2007, Revue neurologique.

[38]  Luiz A. Baccalá,et al.  Partial directed coherence: a new concept in neural structure determination , 2001, Biological Cybernetics.

[39]  Luiz A Baccalá,et al.  Frequency domain connectivity identification: An application of partial directed coherence in fMRI , 2009, Human brain mapping.

[40]  Karl J. Friston,et al.  EEG–fMRI of idiopathic and secondarily generalized epilepsies , 2006, NeuroImage.

[41]  O. Devinsky,et al.  Adult‐Onset Idiopathic Generalized Epilepsy: Clinical and Behavioral Features , 2001, Epilepsia.

[42]  Anil K. Seth,et al.  The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference , 2014, Journal of Neuroscience Methods.

[43]  V. Schmithorst,et al.  Changes in neuronal activation with increasing attention demand in healthy volunteers: An fMRI study , 2001, Synapse.

[44]  B. Schmitz Psychiatric Syndromes Related to Antiepileptic Drugs , 1999, Epilepsia.

[45]  Jarmila Palickova-Patkova On Associations , 1976, Current Anthropology.

[46]  G. Glover,et al.  Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.

[47]  D. Sharp,et al.  The role of the posterior cingulate cortex in cognition and disease. , 2014, Brain : a journal of neurology.

[48]  V. Menon,et al.  A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks , 2008, Proceedings of the National Academy of Sciences.

[49]  Charles J. Lynch,et al.  Brain State Differentiation and Behavioral Inflexibility in Autism. , 2015, Cerebral cortex.

[50]  Mert R. Sabuncu,et al.  The influence of head motion on intrinsic functional connectivity MRI , 2012, NeuroImage.

[51]  S. T. Buckland,et al.  An Introduction to the Bootstrap. , 1994 .

[52]  D. Hu,et al.  Neurobiological basis of head motion in brain imaging , 2014, Proceedings of the National Academy of Sciences.

[53]  C. C. Duncan,et al.  Neuropsychological Studies in Idiopathic Generalized Epilepsy , 2001 .

[54]  B. Biswal,et al.  Functional connectivity of default mode network components: Correlation, anticorrelation, and causality , 2009, Human brain mapping.

[55]  W. A. Scott Cognitive Complexity and Cognitive Flexibility , 1962 .

[56]  D. Hu,et al.  Altered functional connectivity among default, attention, and control networks in idiopathic generalized epilepsy , 2015, Epilepsy & Behavior.

[57]  Jean Gotman,et al.  Cortical and subcortical contributions to absence seizure onset examined with EEG/fMRI , 2010, Epilepsy & Behavior.