Recurrent Activity in Higher Order, Modality Non-Specific Brain Regions: A Granger Causality Analysis of Autobiographic Memory Retrieval

It has been proposed that the workings of the brain are mainly intrinsically generated recurrent neuronal activity, with sensory inputs as modifiers of such activity in both sensory and higher order modality non-specific regions. This is supported by the demonstration of recurrent neuronal activity in the visual system as a response to visual stimulation. In contrast recurrent activity has never been demonstrated before in higher order modality non-specific regions. Using magneto-encephalography and Granger causality analysis, we tested in a paralimbic network the hypothesis that stimulation may enhance causal recurrent interaction between higher-order, modality non-specific regions. The network includes anterior cingulate/medial prefrontal and posterior cingulate/medial parietal cortices together with pulvinar thalami, a network known to be effective in autobiographic memory retrieval and self-awareness. Autobiographic memory retrieval of previous personal judgments of visually presented words was used as stimuli. It is demonstrated that the prestimulus condition is characterized by causal, recurrent oscillations which are maximal in the lower gamma range. When retrieving previous judgments of visually presented adjectives, this activity is dramatically increased during the stimulus task as ascertained by Granger causality analysis. Our results confirm the hypothesis that stimulation may enhance causal interaction between higher order, modality non-specific brain regions, exemplified in a network of autobiographical memory retrieval.

[1]  Johannes J. Fahrenfort,et al.  Feedforward and Recurrent Processing in Scene Segmentation: Electroencephalography and Functional Magnetic Resonance Imaging , 2008, Journal of Cognitive Neuroscience.

[2]  C. Koch,et al.  The Neural Correlates of Consciousness , 2008, Annals of the New York Academy of Sciences.

[3]  Virginia S. Y. Kwan,et al.  Assessing the neural correlates of self-enhancement bias: a transcranial magnetic stimulation study , 2007, Experimental Brain Research.

[4]  Andrzej Cichocki,et al.  EEG synchrony analysis for early diagnosis of Alzheimer's disease: A study with several synchrony measures and EEG data sets , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  B. Libet,et al.  Control of the transition from sensory detection to sensory awareness in man by the duration of a thalamic stimulus. The cerebral 'time-on' factor. , 1991, Brain : a journal of neurology.

[6]  K. D. Singh,et al.  Magnetic field tomography of coherent thalamocortical 40-Hz oscillations in humans. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[7]  W. N. Schoenfeld,et al.  Principles of Psychology , 2007 .

[8]  Steven Laureys,et al.  AM: The vegetative state , 2022 .

[9]  Abdulnasser Hatemi-J,et al.  Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application , 2006 .

[10]  Troels W. Kjær,et al.  Reflective Self-Awareness and Conscious States: PET Evidence for a Common Midline Parietofrontal Core , 2002, NeuroImage.

[11]  H. Sackeim,et al.  Parietal cortex and representation of the mental Self. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[12]  R. Llinás,et al.  Of dreaming and wakefulness , 1991, Neuroscience.

[13]  Ehud Zohary,et al.  Two Phases of V1 Activity for Visual Recognition of Natural Images , 2010, Journal of Cognitive Neuroscience.

[14]  R. M. Siegel,et al.  Foundations of Cognitive Science , 1990, Journal of Cognitive Neuroscience.

[15]  Evgenia Sitnikova,et al.  Granger causality: Cortico-thalamic interdependencies during absence seizures in WAG/Rij rats , 2008, Journal of Neuroscience Methods.

[16]  L. Parkkonen,et al.  122-channel squid instrument for investigating the magnetic signals from the human brain , 1993 .

[17]  David E. Morledge,et al.  Control of the transition from sensory detection to sensory awareness in man by the duration of a thalamic stimulus. The cerebral 'time-on' factor. , 1991, Brain : a journal of neurology.

[18]  D. J. Felleman,et al.  Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.

[19]  W. Drongelen,et al.  Localization of brain electrical activity via linearly constrained minimum variance spatial filtering , 1997, IEEE Transactions on Biomedical Engineering.

[20]  D. Rubin,et al.  The spatiotemporal dynamics of autobiographical memory: neural correlates of recall, emotional intensity, and reliving. , 2008, Cerebral cortex.

[21]  B. Libet Brain stimulation in the study of neuronal functions for conscious sensory experiences. , 1982, Human neurobiology.

[22]  A. Seth Causal connectivity of evolved neural networks during behavior. , 2005, Network.

[23]  R. Llinás,et al.  The neuronal basis for consciousness. , 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[24]  E A Maguire,et al.  Neuroimaging studies of autobiographical event memory. , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[25]  F. Bermpohl,et al.  Cortical midline structures and the self , 2004, Trends in Cognitive Sciences.

[26]  B. Biswal,et al.  Cingulate-Precuneus Interactions: A New Locus of Dysfunction in Adult Attention-Deficit/Hyperactivity Disorder , 2008, Biological Psychiatry.

[27]  Joachim Gross,et al.  Coherence in consciousness: Paralimbic gamma synchrony of self‐reference links conscious experiences , 2009, Human brain mapping.

[28]  J. Martinerie,et al.  Statistical assessment of nonlinear causality: application to epileptic EEG signals , 2003, Journal of Neuroscience Methods.

[29]  S. Gallagher Philosophical conceptions of the self: implications for cognitive science , 2000, Trends in Cognitive Sciences.

[30]  S. Dehaene,et al.  Converging Intracranial Markers of Conscious Access , 2009, PLoS biology.

[31]  Á. Pascual-Leone,et al.  Fast Backprojections from the Motion to the Primary Visual Area Necessary for Visual Awareness , 2001, Science.

[32]  E. Rolls,et al.  The Neurophysiology of Backward Visual Masking: Information Analysis , 1999, Journal of Cognitive Neuroscience.

[33]  D. Spalding The Principles of Psychology , 1873, Nature.

[34]  V. Lamme,et al.  The distinct modes of vision offered by feedforward and recurrent processing , 2000, Trends in Neurosciences.

[35]  J Gross,et al.  Properties of MEG tomographic maps obtained with spatial filtering , 2003, NeuroImage.