The practice of going helps children to stop: the importance of context monitoring in inhibitory control.

How do we stop ourselves during ongoing action? Recent work implies that stopping per se is easy given sufficient monitoring of contextual cues signaling the need to change action. We test key implications of this idea for improving inhibitory control. Seven- to 9-year-old children practiced stopping an ongoing action or monitoring for cues that signaled the need to go again. Both groups subsequently showed better response inhibition in a Stop-Signal task than active controls, and practice monitoring yielded a dose-response relationship. When monitoring practice was optimized to occur while children engaged in responding, the greatest benefits were observed-even greater than from practicing stopping itself. These findings demonstrate the importance of monitoring processes in developing response inhibition and suggest promising new directions for interventions.

[1]  G. Logan,et al.  Models of response inhibition in the stop-signal and stop-change paradigms , 2009, Neuroscience & Biobehavioral Reviews.

[2]  A. Miyake,et al.  Individual differences in executive functions are almost entirely genetic in origin. , 2008, Journal of experimental psychology. General.

[3]  John Duncan,et al.  The role of the right inferior frontal gyrus: inhibition and attentional control , 2010, NeuroImage.

[4]  M. J. Emerson,et al.  The Unity and Diversity of Executive Functions and Their Contributions to Complex “Frontal Lobe” Tasks: A Latent Variable Analysis , 2000, Cognitive Psychology.

[5]  T. Robbins,et al.  Dissociating Inhibition, Attention, and Response Control in the Frontoparietal Network Using Functional Magnetic Resonance Imaging , 2010, Cerebral cortex.

[6]  A. Diamond,et al.  Interventions Shown to Aid Executive Function Development in Children 4 to 12 Years Old , 2011, Science.

[7]  Mark H. Johnson,et al.  Training attentional control and working memory - Is younger, better? , 2012 .

[8]  C. Blair,et al.  Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. , 2007, Child development.

[9]  Scott D. Brown,et al.  Bayesian parametric estimation of stop-signal reaction time distributions. , 2013, Journal of experimental psychology. General.

[10]  R. Poldrack,et al.  Cortical and Subcortical Contributions to Stop Signal Response Inhibition: Role of the Subthalamic Nucleus , 2006, The Journal of Neuroscience.

[11]  D. Balota,et al.  Moving Beyond the Mean in Studies of Mental Chronometry , 2011 .

[12]  Katya Rubia,et al.  Right inferior prefrontal cortex mediates response inhibition while mesial prefrontal cortex is responsible for error detection , 2003, NeuroImage.

[13]  Thomas V. Wiecki,et al.  Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal reaction time distributions , 2013, Front. Psychol..

[14]  Susanne M. Jaeggi,et al.  Short- and long-term benefits of cognitive training , 2011, Proceedings of the National Academy of Sciences.

[15]  A. Aron From Reactive to Proactive and Selective Control: Developing a Richer Model for Stopping Inappropriate Responses , 2011, Biological Psychiatry.

[16]  Darryl W. Schneider,et al.  Automatic and Controlled Response Inhibition: Associative Learning in the Go/no-go and Stop-signal Paradigms the Go/no-go Paradigm and the Stop-signal Paradigm , 2022 .

[17]  G. Logan,et al.  Response inhibition in the stop-signal paradigm , 2008, Trends in Cognitive Sciences.

[18]  Michael J. Kofler,et al.  Attention-Deficit/Hyperactivity Disorder and Behavioral Inhibition: A Meta-Analytic Review of the Stop-signal Paradigm , 2007, Journal of abnormal child psychology.

[19]  M. Bellgrove,et al.  Insights into the neural basis of response inhibition from cognitive and clinical neuroscience , 2009, Neuroscience & Biobehavioral Reviews.

[20]  J. Heckman,et al.  A gradient of childhood self-control predicts health, wealth, and public safety , 2011, Proceedings of the National Academy of Sciences.

[21]  Christopher H. Chatham,et al.  Pupillometric and behavioral markers of a developmental shift in the temporal dynamics of cognitive control , 2009, Proceedings of the National Academy of Sciences.

[22]  Gordon D Logan,et al.  Horse-race model simulations of the stop-signal procedure. , 2003, Acta psychologica.

[23]  T. Robbins,et al.  Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans , 2003, Nature Neuroscience.

[24]  Christopher H. Chatham,et al.  Cognitive Control Reflects Context Monitoring, Not Motoric Stopping, in Response Inhibition , 2012, PloS one.

[25]  Beatriz Luna,et al.  Maturation of Executive Function in Autism , 2007, Biological Psychiatry.

[26]  Adam P. Morris,et al.  Executive Brake Failure following Deactivation of Human Frontal Lobe , 2006 .

[27]  Maneesh C. Patel,et al.  Distinct frontal systems for response inhibition, attentional capture, and error processing , 2010, Proceedings of the National Academy of Sciences.