The neural correlates of temporal judgments in the duration bisection task

Decision processes related to interval timing are commonly examined using the duration bisection procedure-a well-established timekeeping task in which participants make judgments about whether a series of "probes" are closer in duration to a "short" anchor duration or a "long" anchor duration. The specific information used during bisection categorization has been a subject of debate. Recent research involving the Contingent Negative Variation (CNV) suggests that the "short" anchor duration and a value near the geometric mean (GM) of the short and long anchors are among the critical pieces of information used during bisection categorization judgements. The present study examined a corollary of this claim, that memory comparison and decision-making processes related to the temporal judgments are completed prior to probe offset when probe durations are perceived to be "long;" testing the hypotheses that (1) response times would be significantly longer for "short" relative to "long" categorizations and that (2) there would be significant differences in ERPs time-locked to probe offset between probes judged to be "short" and "long." Both of these predictions were realized in the results, providing strong support for the assertion that a value near the GM-likely the point of subjective equality (PSE)-is among the critical information used during bisection categorization judgments.

[1]  Manfred Clynes,et al.  Music as Time's Measure , 1986 .

[2]  J. Gibbon.  On the form and location of the Psychometric Bisection Function for time , 1981 .

[3]  James V. Stone.  Independent component analysis: an introduction , 2002, Trends in Cognitive Sciences.

[4]  Ann-Christine Ehlis,et al.  The time course of temporal discrimination: An ERP study , 2010, Clinical Neurophysiology.

[5]  Warren H Meck,et al.  Cortico-striatal Representation of Time in Animals and Humans This Review Comes from a Themed Issue on Cognitive Neuroscience Edited Evidence from Patient Populations and Electrical Potentials Neuroimaging Evidence Using Fmri and Pet , 2022 .

[6]  Franck Vidal,et al.  The CNV peak: an index of decision making and temporal memory. , 2003, Psychophysiology.

[7]  Erich Schröger,et al.  Human auditory event-related potentials predict duration judgments , 2005, Neuroscience Letters.

[8]  R. Church,et al.  Methamphetamine and time estimation. , 1981, Journal of experimental psychology. Animal behavior processes.

[9]  B. Rockstroh,et al.  Slow potentials of the cerebral cortex and behavior. , 1990, Physiological reviews.

[10]  Warren H. Meck,et al.  Contingent negative variation and its relation to time estimation: a theoretical evaluation , 2011, Front. Integr. Neurosci..

[11]  J. Wearden,et al.  Stimulus Range Effects in Temporal Bisection by Humans , 1996, The Quarterly journal of experimental psychology. B, Comparative and physiological psychology.

[12]  W. Meck,et al.  Neuroanatomical and Neurochemical Substrates of Timing , 2011, Neuropsychopharmacology.

[13]  Franck Vidal,et al.  The supplementary motor area in motor and sensory timing: evidence from slow brain potential changes , 1999, Experimental Brain Research.

[14]  John H Wearden,et al.  Decision processes in models of timing. , 2004, Acta neurobiologiae experimentalis.

[15]  T. McCormack,et al.  Developmental changes in time estimation: comparing childhood and old age. , 1999, Developmental psychology.

[16]  William P. Hetrick,et al.  Temporal processing dysfunction in schizophrenia , 2008, Brain and Cognition.

[17]  Kwun Kei Ng,et al.  Temporal Accumulation and Decision Processes in the Duration Bisection Task Revealed by Contingent Negative Variation , 2011, Front. Integr. Neurosci..

[18]  A. Nobre,et al.  Dissociating explicit timing from temporal expectation with fMRI , 2008, Current Opinion in Neurobiology.

[19]  W. Meck,et al.  Neuropsychological mechanisms of interval timing behavior. , 2000, BioEssays : news and reviews in molecular, cellular and developmental biology.

[20]  Carlos D. Brody,et al.  Human performance on the temporal bisection task , 2010, Brain and Cognition.

[21]  S. Luck.  An Introduction to the Event-Related Potential Technique , 2005 .

[22]  F. Vidal,et al.  Event-Related Potentials as Indices of Time Processing: A Review , 2004 .

[23]  D. Tucker,et al.  Medial Frontal Cortex in Action Monitoring , 2000, The Journal of Neuroscience.

[24]  T H Bullock,et al.  Dynamic properties of human visual evoked and omitted stimulus potentials. , 1994, Electroencephalography and clinical neurophysiology.

[25]  Martin Garwicz,et al.  Authenticity, Depression, and Deep Brain Stimulation , 2011, Front. Integr. Neurosci..

[26]  R M Church,et al.  Scalar Timing in Memory , 1984, Annals of the New York Academy of Sciences.

[27]  Richard Ragot,et al.  When time is up: CNV time course differentiates the roles of the hemispheres in the discrimination of short tone durations , 2003, Experimental Brain Research.

[28]  Patrick Rabbitt,et al.  Age and IQ effects on stimulus and response timing , 1997 .

[29]  Franck Vidal,et al.  Timing processes: an outline of behavioural and neural indices not systematically considered in timing models. , 2009, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[30]  John Anderson,et al.  An integrated theory of prospective time interval estimation: the role of cognition, attention, and learning. , 2007, Psychological review.

[31]  J. Smurzyński,et al.  Mismatch negativity and psychoacoustic measures of gap detection in normally hearing subjects. , 2001, Psychophysiology.

[32]  J. Wearden.  Human Performance on an Analogue of an Interval Bisection Task , 1991, The Quarterly journal of experimental psychology. B, Comparative and physiological psychology.

[33]  Tadeusz W. Kononowicz,et al.  Slow Potentials in Time Estimation: The Role of Temporal Accumulation and Habituation , 2011, Front. Integr. Neurosci..

[34]  P A Hancock,et al.  Human aging and duration judgments: a meta-analytic review. , 1998, Psychology and aging.

[35]  Virginie van Wassenhove,et al.  The experience of time: neural mechanisms and the interplay of emotion, cognition and embodiment , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.