Enhancing duration processing with parietal brain stimulation

Numerosity and duration are thought to share common magnitude-based mechanisms in brain regions including the right parietal and frontal cortices like the supplementary motor area, SMA. Numerosity and duration are, however, also different in several intrinsic features. For instance, in a quantification context, numerosity is known for being more automatically accessed than temporal events, and durations are by definition sequential whereas numerosity can be both sequential and simultaneous. Moreover, numerosity and duration processing diverge in terms of their neuronal correlates. Whether these observed neuronal specificities can be accounted for by differences in automaticity or presentation-mode is however not clear. To address this issue, we used brain stimulation (transcranial random noise stimulation, tRNS) to the right parietal cortex or the SMA combined with experimental stimuli differing in their level of automaticity (numerosity and duration) and presentation mode (sequential or simultaneous). Compared to a no stimulation group, performance changed in duration but not in numerosity categorisation following right parietal but not SMA stimulation. These results indicate that the right parietal cortex is critical for duration processing, and suggest that tRNS has a stronger effect on less automatic processes such as duration.

[1]  Philippe Pinel,et al.  Tuning Curves for Approximate Numerosity in the Human Intraparietal Sulcus , 2004, Neuron.

[2]  Andreas Nieder,et al.  Temporal and Spatial Enumeration Processes in the Primate Parietal Cortex , 2006, Science.

[3]  C. Miniussi,et al.  Random Noise Stimulation Improves Neuroplasticity in Perceptual Learning , 2011, The Journal of Neuroscience.

[4]  Stefan Golaszewski,et al.  Neural correlates of distance and congruity effects in a numerical Stroop task: an event-related fMRI study , 2005, NeuroImage.

[5]  V. Walsh,et al.  Learning to Integrate versus Inhibiting Information Is Modulated by Age , 2015, The Journal of Neuroscience.

[6]  Andreas Nieder,et al.  Temporal and Spatial Enumeration Processes in the Primate Parietal Cortex , 2006, Science.

[7]  C. Gallistel,et al.  Preverbal and verbal counting and computation , 1992, Cognition.

[8]  ROBERT S. MOYER,et al.  Time required for Judgements of Numerical Inequality , 1967, Nature.

[9]  Brian Butterworth,et al.  Discrete and analogue quantity processing in the parietal lobe: a functional MRI study. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[10]  P. Enticott,et al.  Improving working memory: the effect of combining cognitive activity and anodal transcranial direct current stimulation to the left dorsolateral prefrontal cortex , 2011, Brain Stimulation.

[11]  Sheng He,et al.  Larger stimuli are judged to last longer. , 2007, Journal of vision.

[12]  I. Arend,et al.  Time counts: Bidirectional interaction between time and numbers in human adults , 2014, Consciousness and Cognition.

[13]  Clarisse Aichelburg,et al.  When Time and Numerosity Interfere: The Longer the More, and the More the Longer , 2012, PloS one.

[14]  A. Henik,et al.  Is three greater than five: The relation between physical and semantic size in comparison tasks , 1982, Memory & cognition.

[15]  Scott W. Brown Attentional resources in timing: Interference effects in concurrent temporal and nontemporal working memory tasks , 1997, Perception & psychophysics.

[16]  Paul A. Pope,et al.  Task-specific facilitation of cognition by cathodal transcranial direct current stimulation of the cerebellum , 2012, Brain Stimulation.

[17]  Michael Andres,et al.  Dissociation of numerosity and duration processing in the left intraparietal sulcus: A transcranial magnetic stimulation study , 2008, Cortex.

[18]  R. Cohen Kadosh,et al.  Transfer of Cognitive Training across Magnitude Dimensions Achieved with Concurrent Brain Stimulation of the Parietal Lobe , 2013, The Journal of Neuroscience.

[19]  Walter Schneider,et al.  Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. , 1977 .

[20]  R. Miall,et al.  Brain activation patterns during measurement of sub- and supra-second intervals , 2003, Neuropsychologia.

[21]  Valérie Dormal,et al.  Processing numerosity, length and duration in a three-dimensional Stroop-like task: towards a gradient of processing automaticity? , 2013, Psychological research.

[22]  Valérie Dormal,et al.  A common right fronto‐parietal network for numerosity and duration processing: An fMRI study , 2012, Human brain mapping.

[23]  A. Antal,et al.  Increasing Human Brain Excitability by Transcranial High- Frequency Random Noise Stimulation , 2009, NeuroImage.

[24]  Franck Vidal,et al.  The supplementary motor area in motor and perceptual time processing: fMRI studies , 2006, Cognitive Processing.

[25]  Georgios A. Pavlopoulos,et al.  A reference guide for tree analysis and visualization , 2010, BioData Mining.

[26]  Michael Andres,et al.  Mode-dependent and mode-independent representations of numerosity in the right intraparietal sulcus , 2010, NeuroImage.

[27]  Vincent Walsh,et al.  The right parietal cortex and time perception: back to Critchley and the Zeitraffer phenomenon , 2005, Cognitive neuropsychology.

[28]  Bahador Bahrami,et al.  Sensory and Association Cortex in Time Perception , 2008, Journal of Cognitive Neuroscience.

[29]  Vincent Walsh A theory of magnitude: common cortical metrics of time, space and quantity , 2003, Trends in Cognitive Sciences.

[30]  Stephen M. Rao,et al.  The evolution of brain activation during temporal processing , 2001, Nature Neuroscience.

[31]  Daniele Didino,et al.  ‘How many’ and ‘how much’ dissociate in the parietal lobe , 2015, Cortex.

[32]  Laurence Casini,et al.  The SMAs: Neural Substrate of the Temporal Accumulator? , 2011, Front. Integr. Neurosci..

[33]  Marinella Cappelletti,et al.  rTMS over the intraparietal sulcus disrupts numerosity processing , 2007, Experimental Brain Research.

[34]  E. Brannon,et al.  Nonverbal representation of time and number in adults. , 2007, Acta psychologica.

[35]  M. Pesenti,et al.  Numerosity-duration interference: a Stroop experiment. , 2006, Acta psychologica.

[36]  R. Hamilton,et al.  It's the Thought That Counts: Examining the Task-dependent Effects of Transcranial Direct Current Stimulation on Executive Function , 2015, Brain Stimulation.

[37]  G. Humphreys,et al.  Transcranial random noise stimulation mitigates increased difficulty in an arithmetic learning task , 2016, Neuropsychologia.

[38]  Andreas Nieder,et al.  A parieto-frontal network for visual numerical information in the monkey. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[39]  A. D. Fisk,et al.  Automatic and Control Processing Approach to Interpreting Vigilance Performance: A Review and Reevaluation , 1987, Human factors.

[40]  Katsumi Aoki,et al.  Recent development of flow visualization , 2004, J. Vis..

[41]  L. Cohen,et al.  Transcranial direct current stimulation: State of the art 2008 , 2008, Brain Stimulation.

[42]  Martin Wiener,et al.  The image of time: A voxel-wise meta-analysis , 2010, NeuroImage.

[43]  Valérie Dormal,et al.  Numerosity-length interference: a Stroop experiment. , 2007, Experimental psychology.

[44]  Ryota Kanai,et al.  Interaction of Numerosity and Time in Prefrontal and Parietal Cortex , 2013, The Journal of Neuroscience.

[45]  E. Spelke,et al.  The construction of large number representations in adults , 2003, Cognition.

[46]  F. Vidal,et al.  Functional anatomy of timing differs for production versus prediction of time intervals , 2013, Neuropsychologia.