Abstract
Understanding the neural mechanisms associated with time to contact (TTC) estimation is an intriguing but challenging task. Despite the importance of TTC estimation in our everyday life, few studies have been conducted on it, and there are still a lot of unanswered questions and unknown aspects of this issue. In this study, we intended to address one of these unknown aspects. We used independent component analysis to systematically assess EEG substrates associated with TTC estimation using two experiments: (1) transversal motion experiment (when a moving object passes transversally in the frontoparallel plane from side to side in front of the observer), and (2) head-on motion experiment (when the observer is on the motion path of the moving object). We also studied the energy of all EEG sources in these two experiments. The results showed that brain regions involved in the transversal and head-on motion experiments were the same. However, the energy used by some brain regions in the head-on motion experiment, including some regions in left parietotemporal and left frontal lobes, was significantly higher than the energy used by those regions in the transversal motion experiment. These brain regions are dominantly associated with different kinds of visual attention, integration of visual information, and responding to visual motion.
Similar content being viewed by others
References
Battaglini L, Campana G, Camilleri R, Casco C (2015) Probing the involvement of the earliest levels of cortical processing in motion extrapolation with rapid forms of visual motion priming and adaptation. Atten Percept Psychophys 77:603–612
Beer J, Blakemore C, Previc FH, Liotti M (2002) Areas of the human brain activated by ambient visual motion, indicating three kinds of self-movement. Exp Brain Res 143:78–88
Bernard R, Goran D, Sakai S, Carr T, McFarlane D, Nordell B, Cooper T, Potchen E (2002) Cortical activation during rhythmic hand movements performed under three types of control: an fMRI study. Cognit Affect Behav Neurosci 2:271–281
Billington J, Wilkie RM, Field DT, Wann JP (2010) Neural processing of imminent collision in humans. Proc R Soc B Biol Sci 278:1476–1481
Cao Y, Towle VL, Levin DN, Balter JM (1993) Functional mapping of human motor cortical activation with conventional MR imaging at 1.5 T. J Magn Reson Imaging 3:869–875
Chang C-J, Jazayeri M (2018) Integration of speed and time for estimating time to contact. Proc Natl Acad Sci 115:E2879–E2887
Chen Y-C, Duann J-R, Chuang S-W, Lin C-L, Ko L-W, Jung T-P, Lin C-T (2010) Spatial and temporal EEG dynamics of motion sickness. NeuroImage 49:2862–2870
Cheng K, Fujita H, Kanno I, Miura S, Tanaka K (1995) Human cortical regions activated by wide-field visual motion: an H2 (15) O PET study. J Neurophysiol 74:413–427
Ciaramitaro VM, Buracas GT, Boynton GM (2007) Spatial and cross-modal attention alter responses to unattended sensory information in early visual and auditory human cortex. J Neurophysiol 98:2399–2413
Coull JT, Vidal F, Goulon C, Nazarian B, Craig C (2008) Using time-to-contact information to assess potential collision modulates both visual and temporal prediction networks. Front Hum Neurosci 2:10
Dasdemir Y, Yildirim E, Yildirim S (2017) Analysis of functional brain connections for positive–negative emotions using phase locking value. Cognit Neurodyn 11:487–500
Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134:9–21
Deutschländer A, Bense S, Stephan T, Schwaiger M, Brandt T, Dieterich M (2002) Sensory system interactions during simultaneous vestibular and visual stimulation in PET. Hum Brain Mapp 16:92–103
Dupont P, Orban G, De Bruyn B, Verbruggen A, Mortelmans L (1994) Many areas in the human brain respond to visual motion. J Neurophysiol 72:1420–1424
Field DT, Wann JP (2005) Perceiving time to collision activates the sensorimotor cortex. Curr Biol 15:453–458
Freund H (1990) Premotor area and preparation of movement. Rev Neurol 146:543–547
Gerlach C, Aaside C, Humphreys G, Gade A, Paulson OB, Law I (2002) Brain activity related to integrative processes in visual object recognition: bottom-up integration and the modulatory influence of stored knowledge. Neuropsychologia 40:1254–1267
Gibson JJ (2014) The ecological approach to visual perception, classic edn. Psychology Press, London
Goodale MA, Milner AD (1992) Separate visual pathways for perception and action. Trends Neurosci 15:20–25
Hwang JH, Nam KW, Jang DP, Kim IY (2019) Effects of degree and symmetricity of bilateral spectral smearing, carrier frequency, and subject sex on amplitude of evoked auditory steady-state response signal. Cognit Neurodyn 13:151–160
Jack AI, Shulman GL, Snyder AZ, McAvoy M, Corbetta M (2006) Separate modulations of human V1 associated with spatial attention and task structure. Neuron 51:135–147
Jenkins IH, Jahanshahi M, Jueptner M, Passingham RE, Brooks DJ (2000) Self-initiated versus externally triggered movements: II. the effect of movement predictability on regional cerebral blood flow. Brain 123:1216–1228
Jovicich J, Peters RJ, Koch C, Braun J, Chang L, Ernst T (2001) Brain areas specific for attentional load in a motion-tracking task. J Cognit Neurosci 13:1048–1058
Jung T-P, Makeig S, McKeown MJ, Bell AJ, Lee T-W, Sejnowski TJ (2001a) Imaging brain dynamics using independent component analysis. Proc IEEE 89:1107–1122
Jung TP, Makeig S, Westerfield M, Townsend J, Courchesne E, Sejnowski TJ (2001b) Analysis and visualization of single-trial event-related potentials. Hum Brain Mapp 14:166–185
Knowles W (1958) Estimating time-to-collision. Am Psychol 13:405–406
Lamm C, Windischberger C, Leodolter U, Moser E, Bauer H (2001) Evidence for premotor cortex activity during dynamic visuospatial imagery from single-trial functional magnetic resonance imaging and event-related slow cortical potentials. Neuroimage 14:268–283
Li Y, Mo L, Chen Q (2015) Differential contribution of velocity and distance to time estimation during self-initiated time-to-collision judgment. Neuropsychologia 73:35–47
Lowry R (2013) Concepts and applications of inferential statistics. http://vassarstats.net/textbook/ch14pt2.html
Makeig S, Bell AJ, Jung T-P, Sejnowski TJ (1996) Independent component analysis of electroencephalographic data. In: Advances in neural information processing systems, pp 145–151
Makeig S, Westerfield M, Jung T-P, Enghoff S, Townsend J, Courchesne E, Sejnowski TJ (2002) Dynamic brain sources of visual evoked responses. Science 295:690–694
Merchant H, De Lafuente V (2014) Introduction to the neurobiology of interval timing, Neurobiology of interval timing. Springer, Berlin, pp 1–13
Merchant H, Harrington DL, Meck WH (2013) Neural basis of the perception and estimation of time. Annu Rev Neurosci 36:313–336
Miao Y, Yin E, Allison BZ, Zhang Y, Chen Y, Dong Y, Wang X, Hu D, Chchocki A, Jin J (2019) An ERP-based BCI with peripheral stimuli: validation with ALS patients. Cognit Neurodyn. https://doi.org/10.1007/s11571-019-09541-0
Mort DJ, Perry RJ, Mannan SK, Hodgson TL, Anderson E, Quest R, McRobbie D, McBride A, Husain M, Kennard C (2003) Differential cortical activation during voluntary and reflexive saccades in man. Neuroimage 18:231–246
Myers MH, Kozma R (2018) Mesoscopic neuron population modeling of normal/epileptic brain dynamics. Cognit Neurodyn 12:211–223
Nakayama K (1997) Localization of the cortical motor area by functional magnetic resonance imaging with gradient echo and echo-planar methods, using clinical 1.5 Tesla MR imaging systems. Osaka City Med J 43:29–48
Nobre AC, Sebestyen G, Gitelman D, Mesulam M, Frackowiak R, Frith C (1997) Functional localization of the system for visuospatial attention using positron emission tomography. Brain J Neurol 120:515–533
Okuda J, Fujii T, Ohtake H, Tsukiura T, Yamadori A, Frith CD, Burgess PW (2007) Differential involvement of regions of rostral prefrontal cortex (Brodmann area 10) in time-and event-based prospective memory. Int J Psychophysiol 64:233–246
Onton J, Makeig S (2006) Information-based modeling of event-related brain dynamics. Prog Brain Res 159:99–120
Onton JA, Makeig S (2009) High-frequency broadband modulation of electroencephalographic spectra. Front Hum Neurosci 3:61
Papademetris X, Jackowski MP, Rajeevan N, DiStasio M, Okuda H, Constable RT, Staib LH (2006) BioImage Suite: an integrated medical image analysis suite: an update. Insight J 2006:209
Porro CA, Francescato MP, Cettolo V, Diamond ME, Baraldi P, Zuiani C, Bazzocchi M, Di Prampero PE (1996) Primary motor and sensory cortex activation during motor performance and motor imagery: a functional magnetic resonance imaging study. J Neurosci 16:7688–7698
Rijpkema G, Merx J, Horstink M, Thijssen H (1996) Functional MRI: imaging of motor cortex function. Ned Tijdschr Geneeskd 140:248–254
Rizzolatti G, Fadiga L, Matelli M, Bettinardi V, Paulesu E, Perani D, Fazio F (1996) Localization of grasp representations in humans by PET: 1. Observation versus execution. Exp Brain Res 111:246–252
Rubia K, Smith A (2004) The neural correlates of cognitive time management: a review. Acta Neurobiol Exp 64(3):329–340
Ruby P, Sirigu A, Decety J (2002) Distinct areas in parietal cortex involved in long-term and short-term action planning: a PET investigation. Cortex 38:321–339
Schiff W, Oldak R (1990) Accuracy of judging time to arrival: effects of modality, trajectory, and gender. J Exp Psychol Hum Percept Perform 16:303
Senot P, Baillet S, Renault B, Berthoz A (2008) Cortical dynamics of anticipatory mechanisms in interception: a neuromagnetic study. J Cognit Neurosci 20:1827–1838
Sharma N, Jones PS, Carpenter T, Baron J-C (2008) Mapping the involvement of BA 4a and 4p during motor imagery. Neuroimage 41:92–99
Shergill S, Tracy D, Seal M, Rubia K, McGuire P (2006) Timing of covert articulation: an fMRI study. Neuropsychologia 44:2573–2577
Silver MA, Ress D, Heeger DJ (2007) Neural correlates of sustained spatial attention in human early visual cortex. J Neurophysiol 97:229–237
Simen P, Rivest F, Ludvig EA, Balci F, Killeen P (2013) Timescale invariance in the pacemaker-accumulator family of timing models. Timing Time Percept 1:159–188
Smith AT, Cotillon-Williams NM, Williams AL (2006) Attentional modulation in the human visual cortex: the time-course of the BOLD response and its implications. Neuroimage 29:328–334
Stevens MC, Kiehl KA, Pearlson G, Calhoun VD (2007) Functional neural circuits for mental timekeeping. Hum Brain Mapp 28:394–408
Sturm W, Schmenk B, Fimm B, Specht K, Weis S, Thron A, Willmes K (2006) Spatial attention: more than intrinsic alerting? Exp Brain Res 171:16–25
Subhani AR, Kamel N, Saad MNM, Nandagopal N, Kang K, Malik AS (2018) Mitigation of stress: new treatment alternatives. Cognit Neurodyn 12:1–20
Tresilian J (1995) Perceptual and cognitive processes in time-to-contact estimation: analysis of prediction-motion and relative judgment tasks. Atten Percept Psychophys 57:231–245
Van Der Meer AL, Svantesson M, Van Der Weel FR (2012) Longitudinal study of looming in infants with high-density EEG. Dev Neurosci 34:488–501
van der Weel FR, van der Meer AL (2009) Seeing it coming: infants’ brain responses to looming danger. Naturwissenschaften 96:1385
Waberski TD, Gobbelé R, Lamberty K, Buchner H, Marshall JC, Fink GR (2008) Timing of visuo-spatial information processing: electrical source imaging related to line bisection judgements. Neuropsychologia 46:1201–1210
Wiese H, Stude P, Nebel K, de Greiff A, Forsting M, Diener HC, Keidel M (2004) Movement preparation in self-initiated versus externally triggered movements: an event-related fMRI-study. Neurosci Lett 371:220–225
Yan J-J, Lorv B, Li H, Sun H-J (2011) Visual processing of the impending collision of a looming object: time to collision revisited. J Vis 11:7–7
Acknowledgements
The authors are grateful to Golnaz Baghdadi for her comments in analyzing the data and revising the manuscript. We also would like to thank the professor Faubert’s research group at the University of Montreal, especially Jesse Michaels, Jean-Claude Piponnier, and Romain Chaumillon for their great support.
Author information
Authors and Affiliations
Contributions
AD, DB, and JF designed the experiment. AD undertook the data collection and analyzed the data under the FT’s supervision. AD, FT, and JF interpreted the results. AD drafted the manuscript. FT, JF, and HA revised the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Daneshi, A., Azarnoush, H., Towhidkhah, F. et al. Brain activity during time to contact estimation: an EEG study. Cogn Neurodyn 14, 155–168 (2020). https://doi.org/10.1007/s11571-019-09563-8
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11571-019-09563-8