Action Monitoring Cortical Activity Coupled to Submovements

Visual Abstract Numerous studies have examined neural correlates of the human brain’s action-monitoring system during experimentally segmented tasks. However, it remains unknown how such a system operates during continuous motor output when no experimental time marker is available (such as button presses or stimulus onset). We set out to investigate the electrophysiological correlates of action monitoring when hand position has to be repeatedly monitored and corrected. For this, we recorded high-density electroencephalography (EEG) during a visuomotor tracking task during which participants had to follow a target with the mouse cursor along a visible trajectory. By decomposing hand kinematics into naturally occurring periodic submovements, we found an event-related potential (ERP) time-locked to these submovements and localized in a sensorimotor cortical network comprising the supplementary motor area (SMA) and the precentral gyrus. Critically, the amplitude of the ERP correlated with the deviation of the cursor, 110 ms before the submovement. Control analyses showed that this correlation was truly due to the cursor deviation and not to differences in submovement kinematics or to the visual content of the task. The ERP closely resembled those found in response to mismatch events in typical cognitive neuroscience experiments. Our results demonstrate the existence of a cortical process in the SMA, evaluating hand position in synchrony with submovements. These findings suggest a functional role of submovements in a sensorimotor loop of periodic monitoring and correction and generalize previous results from the field of action monitoring to cases where action has to be repeatedly monitored.

[1]  P. Fries,et al.  Distributed Attention Is Implemented through Theta-Rhythmic Gamma Modulation , 2015, Current Biology.

[2]  P. D. Neilson,et al.  Internal models and intermittency: A theoretical account of human tracking behavior , 2004, Biological Cybernetics.

[3]  B. Burle,et al.  Action Monitoring and Medial Frontal Cortex: Leading Role of Supplementary Motor Area , 2014, Science.

[4]  J. Wessberg,et al.  Organization of motor output in slow finger movements in man. , 1993, The Journal of physiology.

[5]  Nicolas Y. Masse,et al.  Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.

[6]  M. Frank,et al.  Frontal theta as a mechanism for cognitive control , 2014, Trends in Cognitive Sciences.

[7]  R. Miall,et al.  Manual tracking of visual targets by trained monkeys , 1986, Behavioural Brain Research.

[8]  A. Schnitzler,et al.  The neural basis of intermittent motor control in humans , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Felix Blankenburg,et al.  Neuronal correlates of continuous manual tracking under varying visual movement feedback in a virtual reality environment , 2017, NeuroImage.

[10]  R. VanRullen Perceptual Cycles , 2016, Trends in Cognitive Sciences.

[11]  Peter J. Gawthrop,et al.  Refractoriness in Sustained Visuo-Manual Control: Is the Refractory Duration Intrinsic or Does It Depend on External System Properties? , 2013, PLoS Comput. Biol..

[12]  A. Engel,et al.  Trial-by-Trial Coupling of Concurrent Electroencephalogram and Functional Magnetic Resonance Imaging Identifies the Dynamics of Performance Monitoring , 2005, The Journal of Neuroscience.

[13]  Tzyy-Ping Jung,et al.  Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking , 2008, NeuroImage.

[14]  Markus Raab,et al.  Analyzing a complex visuomotor tracking task with brain-electrical event related potentials. , 2005, Human movement science.

[15]  C. Braun,et al.  Hand Movement Direction Decoded from MEG and EEG , 2008, The Journal of Neuroscience.

[16]  C. Braun,et al.  Event-Related Brain Potentials Following Incorrect Feedback in a Time-Estimation Task: Evidence for a Generic Neural System for Error Detection , 1997, Journal of Cognitive Neuroscience.

[17]  R. Caminiti,et al.  Cortical mechanisms for online control of hand movement trajectory: the role of the posterior parietal cortex. , 2009, Cerebral cortex.

[18]  P. Fries Rhythms for Cognition: Communication through Coherence , 2015, Neuron.

[19]  Karl J. Friston,et al.  A systematic framework for functional connectivity measures , 2014, Front. Neurosci..

[20]  Scott T. Grafton,et al.  Human Basal Ganglia and the Dynamic Control of Force during On-Line Corrections , 2011, The Journal of Neuroscience.

[21]  Roberto D. Pascual-Marqui,et al.  Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization , 2007, 0710.3341.

[22]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[23]  Clay B. Holroyd,et al.  The feedback-related negativity reflects the binary evaluation of good versus bad outcomes , 2006, Biological Psychology.

[24]  J. Hohnsbein,et al.  Effects of crossmodal divided attention on late ERP components. II. Error processing in choice reaction tasks. , 1991, Electroencephalography and clinical neurophysiology.

[25]  Peter J Beek,et al.  Impedance modulation and feedback corrections in tracking targets of variable size and frequency. , 2006, Journal of neurophysiology.

[26]  R. VanRullen,et al.  Spontaneous EEG oscillations reveal periodic sampling of visual attention , 2010, Proceedings of the National Academy of Sciences.

[27]  Dimitrios Pantazis,et al.  Coherent neural representation of hand speed in humans revealed by MEG imaging , 2007, Proceedings of the National Academy of Sciences.

[28]  P. Strick,et al.  Activation of the supplementary motor area (SMA) during performance of visually guided movements. , 2003, Cerebral cortex.

[29]  K. J. W. Craik Theory of the human operator in control systems; the operator as an engineering system. , 1947 .

[30]  H. Bekkering,et al.  Modulation of activity in medial frontal and motor cortices during error observation , 2004, Nature Neuroscience.

[31]  Thomas M. Hall,et al.  A Common Structure Underlies Low-Frequency Cortical Dynamics in Movement, Sleep, and Sedation , 2014, Neuron.

[32]  D. Tucker,et al.  Frontal midline theta and the error-related negativity: neurophysiological mechanisms of action regulation , 2004, Clinical Neurophysiology.

[33]  K. R. Ridderinkhof,et al.  Medial frontal cortex and response conflict: Evidence from human intracranial EEG and medial frontal cortex lesion , 2008, Brain Research.

[34]  Hermano Igo Krebs,et al.  Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography , 2014, Journal of Cognitive Neuroscience.

[35]  Peter E. Clayson,et al.  How does noise affect amplitude and latency measurement of event-related potentials (ERPs)? A methodological critique and simulation study. , 2013, Psychophysiology.

[36]  J. Kalaska,et al.  Neural mechanisms for interacting with a world full of action choices. , 2010, Annual review of neuroscience.

[37]  K. Newell,et al.  Intermittency in the control of continuous force production. , 2000, Journal of neurophysiology.

[38]  David C Knill,et al.  Visual Feedback Control of Hand Movements , 2004, The Journal of Neuroscience.

[39]  D. Meyer,et al.  A Neural System for Error Detection and Compensation , 1993 .

[40]  Marc W Howard,et al.  Theta and Gamma Oscillations during Encoding Predict Subsequent Recall , 2003, The Journal of Neuroscience.

[41]  Y. Saalmann,et al.  Rhythmic Sampling within and between Objects despite Sustained Attention at a Cued Location , 2013, Current Biology.

[42]  David M. Santucci,et al.  Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates , 2003, PLoS biology.

[43]  Peter Lakatos,et al.  Dynamics of Active Sensing and perceptual selection , 2010, Current Opinion in Neurobiology.

[44]  Thomas Brochier,et al.  Does the Processing of Sensory and Reward-Prediction Errors Involve Common Neural Resources? Evidence from a Frontocentral Negative Potential Modulated by Movement Execution Errors , 2014, The Journal of Neuroscience.

[45]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[46]  Stuart N Baker,et al.  Spinal interneuron circuits reduce approximately 10-Hz movement discontinuities by phase cancellation , 2010, Proceedings of the National Academy of Sciences.

[47]  Gilles Pourtois,et al.  Parametric modulation of error-related ERP components by the magnitude of visuo-motor mismatch , 2011, Neuropsychologia.

[48]  R. Oostenveld,et al.  Theta and Gamma Oscillations Predict Encoding and Retrieval of Declarative Memory , 2006, The Journal of Neuroscience.

[49]  Michael X Cohen,et al.  Midfrontal theta tracks action monitoring over multiple interactive time scales , 2016, NeuroImage.

[50]  L. Colgin Mechanisms and functions of theta rhythms. , 2013, Annual review of neuroscience.

[51]  Amir Karniel,et al.  Open questions in computational motor control. , 2011, Journal of integrative neuroscience.

[52]  K. J. Craik THEORY OF THE HUMAN OPERATOR IN CONTROL SYSTEMS , 1948 .

[53]  Ricardo Chavarriaga,et al.  Errare machinale est: the use of error-related potentials in brain-machine interfaces , 2014, Front. Neurosci..

[54]  Thomas F Münte,et al.  Time Course of Error Detection and Correction in Humans: Neurophysiological Evidence , 2002, The Journal of Neuroscience.

[55]  Rafal Bogacz,et al.  Neural Correlates of Decision Thresholds in the Human Subthalamic Nucleus , 2016, Current Biology.

[56]  R. Miall,et al.  Intermittency in human manual tracking tasks. , 1993, Journal of motor behavior.

[57]  K. R. Ridderinkhof,et al.  The Role of the Medial Frontal Cortex in Cognitive Control , 2004, Science.

[58]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .