Sequence learning modulates neural responses and oscillatory coupling in human and monkey auditory cortex

Learning complex ordering relationships between sensory events in a sequence is fundamental for animal perception and human communication. While it is known that rhythmic sensory events can entrain brain oscillations at different frequencies, how learning and prior experience with sequencing relationships affect neocortical oscillations and neuronal responses is poorly understood. We used an implicit sequence learning paradigm (an “artificial grammar”) in which humans and monkeys were exposed to sequences of nonsense words with regularities in the ordering relationships between the words. We then recorded neural responses directly from the auditory cortex in both species in response to novel legal sequences or ones violating specific ordering relationships. Neural oscillations in both monkeys and humans in response to the nonsense word sequences show strikingly similar hierarchically nested low-frequency phase and high-gamma amplitude coupling, establishing this form of oscillatory coupling—previously associated with speech processing in the human auditory cortex—as an evolutionarily conserved biological process. Moreover, learned ordering relationships modulate the observed form of neural oscillatory coupling in both species, with temporally distinct neural oscillatory effects that appear to coordinate neuronal responses in the monkeys. This study identifies the conserved auditory cortical neural signatures involved in monitoring learned sequencing operations, evident as modulations of transient coupling and neuronal responses to temporally structured sensory input.

[1]  T. Rasmussen,et al.  INTRACAROTID INJECTION OF SODIUM AMYTAL FOR THE LATERALIZATION OF CEREBRAL SPEECH DOMINANCE EXPERIMENTAL AND CLINICAL OBSERVATIONS , 1960 .

[2]  J. Tukey,et al.  Modern techniques of power spectrum estimation , 1967, IEEE Transactions on Audio and Electroacoustics.

[3]  P. Holcomb,et al.  Event-related brain potentials elicited by syntactic anomaly , 1992 .

[4]  Colin M. Brown,et al.  The syntactic positive shift (sps) as an erp measure of syntactic processing , 1993 .

[5]  M M Merzenich,et al.  Representation of a species-specific vocalization in the primary auditory cortex of the common marmoset: temporal and spectral characteristics. , 1995, Journal of neurophysiology.

[6]  L. Squire,et al.  Structure and function of declarative and nondeclarative memory systems. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[7]  R N Aslin,et al.  Statistical Learning by 8-Month-Old Infants , 1996, Science.

[8]  N. P. Bichot,et al.  Perceptual and motor processing stages identified in the activity of macaque frontal eye field neurons during visual search. , 1996, Journal of neurophysiology.

[9]  C. Schreiner,et al.  Time course of forward masking tuning curves in cat primary auditory cortex. , 1997, Journal of neurophysiology.

[10]  M. Chun,et al.  Memory deficits for implicit contextual information in amnesic subjects with hippocampal damage , 1999, Nature Neuroscience.

[11]  A. Borst Seeing smells: imaging olfactory learning in bees , 1999, Nature Neuroscience.

[12]  C. Koch,et al.  Is perception discrete or continuous? , 2003, Trends in Cognitive Sciences.

[13]  C. Stern,et al.  An fMRI Study of the Role of the Medial Temporal Lobe in Implicit and Explicit Sequence Learning , 2003, Neuron.

[14]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[15]  A. Friederici,et al.  Brain Correlates of Language Learning: The Neuronal Dissociation of Rule-Based versus Similarity-Based Learning , 2004, The Journal of Neuroscience.

[16]  W. Fitch,et al.  Computational Constraints on Syntactic Processing in a Nonhuman Primate , 2004, Science.

[17]  J. Fritz,et al.  Differential Dynamic Plasticity of A1 Receptive Fields during Multiple Spectral Tasks , 2005, The Journal of Neuroscience.

[18]  Howard Eichenbaum,et al.  Remembering: Functional Organization of the Declarative Memory System , 2006, Current Biology.

[19]  Timothy Q. Gentner,et al.  Recursive syntactic pattern learning by songbirds , 2006, Nature.

[20]  N. Logothetis,et al.  Functional Imaging Reveals Numerous Fields in the Monkey Auditory Cortex , 2006, PLoS biology.

[21]  M. Berger,et al.  High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex , 2006, Science.

[22]  J. O’Keefe,et al.  An oscillatory interference model of grid cell firing , 2007, Hippocampus.

[23]  Richard S. J. Frackowiak,et al.  Endogenous Cortical Rhythms Determine Cerebral Specialization for Speech Perception and Production , 2007, Neuron.

[24]  T. Rasmussen,et al.  Intracarotid injection of sodium amytal for the lateralization of cerebral speech dominance. 1960. , 2007, Journal of neurosurgery.

[25]  I. Nelken,et al.  Mismatch Negativity and Stimulus-Specific Adaptation in Animal Models , 2007 .

[26]  E. Pothos Theories of artificial grammar learning. , 2007, Psychological bulletin.

[27]  D. Poeppel,et al.  Phase Patterns of Neuronal Responses Reliably Discriminate Speech in Human Auditory Cortex , 2007, Neuron.

[28]  G. Karmos,et al.  Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection , 2008, Science.

[29]  Adriano B. L. Tort,et al.  Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task , 2008, Proceedings of the National Academy of Sciences.

[30]  Richard J. Siegert,et al.  Is implicit sequence learning impaired in schizophrenia? A meta-analysis , 2008, Brain and Cognition.

[31]  M. Kilgard,et al.  Cortical activity patterns predict speech discrimination ability , 2008, Nature Neuroscience.

[32]  A. Pérez-Villalba Rhythms of the Brain, G. Buzsáki. Oxford University Press, Madison Avenue, New York (2006), Price: GB £42.00, p. 448, ISBN: 0-19-530106-4 , 2008 .

[33]  Asohan Amarasingham,et al.  Internally Generated Cell Assembly Sequences in the Rat Hippocampus , 2008, Science.

[34]  Esther Mondragón,et al.  Rule Learning by Rats , 2008, Science.

[35]  M. Hauser,et al.  Grammatical pattern learning by human infants and cotton-top tamarin monkeys , 2008, Cognition.

[36]  D. Kumaran,et al.  Novelty signals: a window into hippocampal information processing , 2009, Trends in Cognitive Sciences.

[37]  C. Schroeder,et al.  Low-frequency neuronal oscillations as instruments of sensory selection , 2009, Trends in Neurosciences.

[38]  Marvin M. Chun,et al.  Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness , 2009, Journal of Cognitive Neuroscience.

[39]  Adriano B. L. Tort,et al.  Theta–gamma coupling increases during the learning of item–context associations , 2009, Proceedings of the National Academy of Sciences.

[40]  Willem H. Zuidema,et al.  Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species , 2009, Proceedings of the National Academy of Sciences.

[41]  Marcelo A. Montemurro,et al.  Spike-Phase Coding Boosts and Stabilizes Information Carried by Spatial and Temporal Spike Patterns , 2009, Neuron.

[42]  Steven Greenberg,et al.  On the Possible Role of Brain Rhythms in Speech Perception: Intelligibility of Time-Compressed Speech with Periodic and Aperiodic Insertions of Silence , 2009, Phonetica.

[43]  C. Schroeder,et al.  The Leading Sense: Supramodal Control of Neurophysiological Context by Attention , 2009, Neuron.

[44]  Charles H. Brown,et al.  The Influence of Natural Scene Dynamics on Auditory Cortical Activity , 2010, The Journal of Neuroscience.

[45]  H. Eichenbaum,et al.  Measuring phase-amplitude coupling between neuronal oscillations of different frequencies. , 2010, Journal of neurophysiology.

[46]  U. Rutishauser,et al.  Human memory strength is predicted by theta-frequency phase-locking of single neurons , 2010, Nature.

[47]  B. Hangya,et al.  Phase Entrainment of Human Delta Oscillations Can Mediate the Effects of Expectation on Reaction Speed , 2010, The Journal of Neuroscience.

[48]  David Poeppel,et al.  Discrimination of speech stimuli based on neuronal response phase patterns depends on acoustics but not comprehension. , 2010, Journal of neurophysiology.

[49]  György Buzsáki,et al.  Neural Syntax: Cell Assemblies, Synapsembles, and Readers , 2010, Neuron.

[50]  David A. Leopold,et al.  Effect of sound intensity on tonotopic fMRI maps in the unanesthetized monkey , 2010, NeuroImage.

[51]  C. Olson,et al.  Statistical learning of visual transitions in monkey inferotemporal cortex , 2011, Proceedings of the National Academy of Sciences.

[52]  Stefano Panzeri,et al.  The Laminar and Temporal Structure of Stimulus Information in the Phase of Field Potentials of Auditory Cortex , 2011, The Journal of Neuroscience.

[53]  Yale E. Cohen,et al.  Modulation of Cross-Frequency Coupling by Novel and Repeated Stimuli in the Primate Ventrolateral Prefrontal Cortex , 2011, Front. Psychology.

[54]  Luc H. Arnal,et al.  Cortical oscillations and sensory predictions , 2012, Trends in Cognitive Sciences.

[55]  M. Grube,et al.  Auditory sequence analysis and phonological skill , 2012, Proceedings of the Royal Society B: Biological Sciences.

[56]  M. Steinschneider,et al.  Searching for the Mismatch Negativity in Primary Auditory Cortex of the Awake Monkey: Deviance Detection or Stimulus Specific Adaptation? , 2012, The Journal of Neuroscience.

[57]  J. Obleser,et al.  Frequency modulation entrains slow neural oscillations and optimizes human listening behavior , 2012, Proceedings of the National Academy of Sciences.

[58]  I. Nelken,et al.  Sensitivity to Complex Statistical Regularities in Rat Auditory Cortex , 2012, Neuron.

[59]  Karl J. Friston,et al.  Canonical Microcircuits for Predictive Coding , 2012, Neuron.

[60]  David Poeppel,et al.  Cortical oscillations and speech processing: emerging computational principles and operations , 2012, Nature Neuroscience.

[61]  T. Womelsdorf,et al.  Attentional Stimulus Selection through Selective Synchronization between Monkey Visual Areas , 2012, Neuron.

[62]  Matthew H. Davis,et al.  Neural Oscillations Carry Speech Rhythm through to Comprehension , 2012, Front. Psychology.

[63]  Yukiko Kikuchi,et al.  Auditory Artificial Grammar Learning in Macaque and Marmoset Monkeys , 2013, The Journal of Neuroscience.

[64]  Joachim Gross,et al.  Phase-Locked Responses to Speech in Human Auditory Cortex are Enhanced During Comprehension , 2012, Cerebral cortex.

[65]  C. Schroeder,et al.  The Spectrotemporal Filter Mechanism of Auditory Selective Attention , 2013, Neuron.

[66]  Josef Parvizi,et al.  Human hippocampal increases in low-frequency power during associative prediction violations , 2013, Neuropsychologia.

[67]  Kirill V. Nourski,et al.  Representation of speech in human auditory cortex: Is it special? , 2013, Hearing Research.

[68]  S. Hanslmayr,et al.  Theta Oscillations at Encoding Mediate the Context-Dependent Nature of Human Episodic Memory , 2013, Current Biology.

[69]  N. Logothetis,et al.  Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms , 2013, Neuron.

[70]  Mark F. Bear,et al.  Learned spatiotemporal sequence recognition and prediction in primary visual cortex , 2014, Nature Neuroscience.

[71]  Carl R Olson,et al.  Statistical Learning of Serial Visual Transitions by Neurons in Monkey Inferotemporal Cortex , 2014, The Journal of Neuroscience.

[72]  Anne-Lise Giraud,et al.  The contribution of frequency-specific activity to hierarchical information processing in the human auditory cortex , 2014, Nature Communications.

[73]  David S Vicario,et al.  Statistical learning of recurring sound patterns encodes auditory objects in songbird forebrain , 2014, Proceedings of the National Academy of Sciences.

[74]  Michael X Cohen,et al.  Phase-clustering bias in phase–amplitude cross-frequency coupling and its removal , 2015, Journal of Neuroscience Methods.

[75]  Erik D. Thiessen,et al.  Impaired Statistical Learning in Developmental Dyslexia. , 2015, Journal of speech, language, and hearing research : JSLHR.

[76]  M. Wibral,et al.  Untangling cross-frequency coupling in neuroscience , 2014, Current Opinion in Neurobiology.

[77]  M. Howard,et al.  Invasive recordings in the human auditory cortex. , 2015, Handbook of clinical neurology.

[78]  S. Romani,et al.  Theta sequences are essential for internally generated hippocampal firing fields , 2014, Nature Neuroscience.

[79]  A. Friederici,et al.  Frontal–posterior theta oscillations reflect memory retrieval during sentence comprehension , 2015, Cortex.

[80]  W. Marslen-Wilson,et al.  Auditory sequence processing reveals evolutionarily conserved regions of frontal cortex in macaques and humans , 2015, Nature Communications.

[81]  David Poeppel,et al.  The cortical analysis of speech-specific temporal structure revealed by responses to sound quilts , 2015, Nature Neuroscience.

[82]  Kenny Smith,et al.  Mixed‐complexity artificial grammar learning in humans and macaque monkeys: evaluating learning strategies , 2015, The European journal of neuroscience.

[83]  G. Hickok,et al.  The human auditory system : fundamental organization and clinical disorders , 2015 .

[84]  H. Kennedy,et al.  Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels , 2014, Neuron.

[85]  Pascal Fries,et al.  Communication through coherence with inter-areal delays , 2015, Current Opinion in Neurobiology.

[86]  Alice E. Milne,et al.  EEG potentials associated with artificial grammar learning in the primate brain , 2015, Brain and Language.

[87]  Alexandre Hyafil,et al.  Speech encoding by coupled cortical theta and gamma oscillations , 2015, eLife.

[88]  Christopher K. Kovach,et al.  Neural signatures of perceptual inference , 2016, eLife.

[89]  Kirill V. Nourski,et al.  Electrocorticographic Activation within Human Auditory Cortex during Dialog-Based Language and Cognitive Testing , 2016, Front. Hum. Neurosci..

[90]  Claudia Männel,et al.  Evolutionary origins of non-adjacent sequence processing in primate brain potentials , 2016, Scientific Reports.

[91]  B. Staresina,et al.  Oscillations and Episodic Memory: Addressing the Synchronization/Desynchronization Conundrum , 2016, Trends in Neurosciences.

[92]  D. Poeppel,et al.  Cortical Tracking of Hierarchical Linguistic Structures in Connected Speech , 2015, Nature Neuroscience.

[93]  Christopher K. Kovach,et al.  The demodulated band transform , 2015, Journal of Neuroscience Methods.