Tactile Temporal Predictions: The Influence of Conditional Probability

Overview

Journal Iperception

Date 2024 Jul 26

PMID 39055288

Authors

Rongxia Ren

Weichao An

Yinghua Yu

Xiaoyu Tang

Yoshimichi Ejima

Jinglong Wu

Jiajia Yang

Affiliations

Soon will be listed here.

Abstract

Predicting the timing of incoming information allows brain to optimize information processing in dynamic environments. However, the effects of temporal predictions on tactile perception are not well established. In this study, two experiments were conducted to determine how temporal predictions interact with conditional probabilities in tactile perceptual processing. In Experiment 1, we explored the range of the interval between preceding ready cues and imperative targets in which temporal prediction effects can be observed. This prediction effect was observed for intervals of 500 and 1,000 ms. In Experiment 2, we investigated the benefits of temporal predictions on tactile perception while manipulating the conditional probability (setting the stimulus onset earlier or later than the predicted moment in short and long intervals). Our results revealed that this effect became stronger as the probability of the stimulus at the predicted time point increased under short-interval conditions. Together, our results show that the difficulty of transferring processing resources increases in temporally dynamic environments, suggesting a greater subjective cost associated with maladaptive responses to temporally uncertain events.

References

Faul F, Erdfelder E, Buchner A, Lang A . Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009; 41(4):1149-60. DOI: 10.3758/BRM.41.4.1149. View

Vossel S, Thiel C, Fink G . Cue validity modulates the neural correlates of covert endogenous orienting of attention in parietal and frontal cortex. Neuroimage. 2006; 32(3):1257-64. DOI: 10.1016/j.neuroimage.2006.05.019. View

Yu Y, Huber L, Yang J, Fukunaga M, Chai Y, Jangraw D . Layer-specific activation in human primary somatosensory cortex during tactile temporal prediction error processing. Neuroimage. 2022; 248:118867. PMC: 11835052. DOI: 10.1016/j.neuroimage.2021.118867. View

Correa A, Nobre A . Neural modulation by regularity and passage of time. J Neurophysiol. 2008; 100(3):1649-55. DOI: 10.1152/jn.90656.2008. View

Jones A, Forster B . Lost in vision: ERP correlates of exogenous tactile attention when engaging in a visual task. Neuropsychologia. 2013; 51(4):675-85. DOI: 10.1016/j.neuropsychologia.2013.01.010. View

Los S, Knol D, Boers R . The foreperiod effect revisited: conditioning as a basis for nonspecific preparation. Acta Psychol (Amst). 2001; 106(1-2):121-45. DOI: 10.1016/s0001-6918(00)00029-9. View

Sanabria D, Correa A . Electrophysiological evidence of temporal preparation driven by rhythms in audition. Biol Psychol. 2012; 92(2):98-105. DOI: 10.1016/j.biopsycho.2012.11.012. View

Badde S, Myers C, Yuval-Greenberg S, Carrasco M . Oculomotor freezing reflects tactile temporal expectation and aids tactile perception. Nat Commun. 2020; 11(1):3341. PMC: 7335189. DOI: 10.1038/s41467-020-17160-1. View

Koppe G, Gruppe H, Sammer G, Gallhofer B, Kirsch P, Lis S . Temporal unpredictability of a stimulus sequence affects brain activation differently depending on cognitive task demands. Neuroimage. 2014; 101:236-44. DOI: 10.1016/j.neuroimage.2014.07.008. View

10.

Abeles D, Amit R, Tal-Perry N, Carrasco M, Yuval-Greenberg S . Oculomotor inhibition precedes temporally expected auditory targets. Nat Commun. 2020; 11(1):3524. PMC: 7360783. DOI: 10.1038/s41467-020-17158-9. View

11.

Bolger D, Coull J, Schon D . Metrical rhythm implicitly orients attention in time as indexed by improved target detection and left inferior parietal activation. J Cogn Neurosci. 2013; 26(3):593-605. DOI: 10.1162/jocn_a_00511. View

12.

Basso M, WURTZ R . Modulation of neuronal activity by target uncertainty. Nature. 1997; 389(6646):66-9. DOI: 10.1038/37975. View

13.

Jones A, Forster B . Neural correlates of endogenous attention, exogenous attention and inhibition of return in touch. Eur J Neurosci. 2014; 40(2):2389-98. DOI: 10.1111/ejn.12583. View

14.

Wilsch A, Henry M, Herrmann B, Maess B, Obleser J . Slow-delta phase concentration marks improved temporal expectations based on the passage of time. Psychophysiology. 2015; 52(7):910-8. DOI: 10.1111/psyp.12413. View

15.

Herbst S, Obleser J . Implicit temporal predictability enhances pitch discrimination sensitivity and biases the phase of delta oscillations in auditory cortex. Neuroimage. 2019; 203:116198. DOI: 10.1016/j.neuroimage.2019.116198. View

16.

Cravo A, Rohenkohl G, Wyart V, Nobre A . Endogenous modulation of low frequency oscillations by temporal expectations. J Neurophysiol. 2011; 106(6):2964-72. PMC: 3234094. DOI: 10.1152/jn.00157.2011. View

17.

Thomaschke R, Wagener A, Kiesel A, Hoffmann J . The scope and precision of specific temporal expectancy: evidence from a variable foreperiod paradigm. Atten Percept Psychophys. 2011; 73(3):953-64. DOI: 10.3758/s13414-010-0079-1. View

18.

Bouwer F, Honing H, Slagter H . Beat-based and Memory-based Temporal Expectations in Rhythm: Similar Perceptual Effects, Different Underlying Mechanisms. J Cogn Neurosci. 2020; 32(7):1221-1241. DOI: 10.1162/jocn_a_01529. View

19.

Nobre A, van Ede F . Anticipated moments: temporal structure in attention. Nat Rev Neurosci. 2017; 19(1):34-48. DOI: 10.1038/nrn.2017.141. View

20.

Anderson B, Sheinberg D . Effects of temporal context and temporal expectancy on neural activity in inferior temporal cortex. Neuropsychologia. 2008; 46(4):947-57. PMC: 2374750. DOI: 10.1016/j.neuropsychologia.2007.11.025. View