Time is more than a sensory feature: Attending to duration triggers specific anticipatory activity

Cognitive Neuroscience

Volumn 2, Issue 1, 2011, Pages 11-18

  Sperduti, Marco ^a,b,c   Tallon Baudry, Catherine ^a,b,c   Hugueville, Laurent ^a,b,c   Pouthas, Viviane ^a,b,c  

^a CNRS   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c INSERM   (France)

Author keywords

Anticipatory processes; MEG; Oscillations; Specific mechanisms; Time

Indexed keywords

ADULT; ARTICLE; ATTENTION; BRAIN FUNCTION; BRAIN REGION; FEMALE; FRONTAL LOBE; HUMAN; HUMAN EXPERIMENT; MAGNETOENCEPHALOGRAPHY; MALE; NORMAL HUMAN; OSCILLATION; PARIETAL LOBE; TIME PERCEPTION; VISUAL STIMULATION;

EID: 79551552732     PISSN: 17588928     EISSN: 17588936     Source Type: Journal    
DOI: 10.1080/17588928.2010.513433     Document Type: Article

References (38)

1. Brown S. W. (1997). Attentional resources in timing: Interference effects in concurrent temporal and nontemporal working memory tasks. Perception and Psychophysics, 59(7), 1118-1140.
2. Buonomano, D. V. (2000). Decoding temporal information: A model based on short-term synaptic plasticity. Journal of Neuroscience, 20(3), 1129-1141.
3. Capotosto, P., Babiloni, C., Romani, G. L., & Corbetta, M. (2009). Frontoparietal cortex controls spatial attention through modulation of anticipatory alpha rhythms. Journal of Neuroscience, 29(18), 5863-5872.
4. Chaumon, M., Schwartz, D., & Tallon-Baudry, C. (2009). Unconscious learning versus visual perception: Dissociable roles for gamma oscillations revealed in MEG. Journal of Cognitive Neuroscience, 21(12), 2287-2299.
5. Cho, R. Y., Konecky, R. O., & Carter, C. S. (2006). Impairments in frontal cortical gamma synchrony and cognitive control in schizophrenia. Proceedings of the National Academy of Sciences of the United States of America, 103(52), 19878-19883.
6. Cohen, M. R., & Maunsell, J. H. (2009). Attention improves performance primarily by reducing interneuronal correlations. Nature Neuroscience, 12(12), 1594-1600.
7. Coull, J. T., Nazarian, B., & Vidal, F. (2008). Timing, storage, and comparison of stimulus duration engage discrete anatomical components of a perceptual timing network. Journal of Cognitive Neuroscience, 20(12), 2185-2197.
8. Coull, J. T., Vidal, F., Nazarian, B., & Macar, F. (2004). Functional anatomy of the attentional modulation of time estimation. Science, 303(5663), 1506-1508.
9. Ferrandez, A. M., Hugueville, L., Lehéricy, S., Poline J. B., Marsault, C., & Pouthas, V. (2003). Basal ganglia and supplementary motor area subtend duration perception: An fMRI study. NeuroImage, 19(4), 1532-1544.
10. Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001). Modulation of oscillatory neuronal synchronization by selective visual attention. Science, 291(5508), 1560-1563.
11. Gómez, C. M., Marco-Pallarés, J., & Grau, C. (2006). Location of brain rhythms and their modulation by preparatory attention estimated by current density. Brain Research, 1107(1), 151-160.
12. Gross, J., Kujala, J., Hämäläinen, M., Timmermann, L., Schnitzler, A., & Salmelin, R. (2001). Dynamic imaging of coherent sources: Studying neural interactions in the human brain. Proceedings of the National Academy of Sciences of the United States of America, 98(2), 694-699.
13. Harrington, D. L., Boyd, L. A., Mayer, A. R., Sheltraw, D. M., Lee, R. R., Huang M., et al. (2004). Neural representation of interval encoding and decision making. Brain Research. Cognitive Brain Research, 21(2), 193-205.
14. Hirata, M., Kato, A., Taniguchi, M., Saitoh, Y., Ninomiya, H., Ihara, A., et al. (2004). Determination of language dominance with synthetic aperture magnetometry: Comparison with the WADA test. NeuroImage, 23(1), 46-53.
15. Ivry, R. B., & Schlerf, J. E. (2008). Dedicated and intrinsic models of time perception. Trends in Cognitive Science, 12(7), 273-280.
16. Ivry R. B., Spencer, R. M., Zelaznik, H. N., & Diedrichsen, J. (2002). The cerebellum and event timing. Annals of the New York Academy of Sciences, 978, 302-317.
17. Jokisch, D., & Jensen, O. (2007). Modulation of gamma and alpha activity during a working memory task engaging the dorsal or ventral stream. Journal of Neuroscience, 27(12), 3244-3251.
18. Kiebel, S. J., Tallon-Baudry, C., & Friston, K. J. (2005). Parametric analysis of oscillatory activity as measured with EEG/MEG. Human Brain Mapping, 26(3), 170-177.
19. Klimesh, W., Doppelmayr, M., Russegger, H., Pachinger, T., & Schwaiger, J. (1998). Induced alpha band power changes in the human EEG and attention. Neuroscience Letters, 244(2), 73-76.
20. Lachaux, J. P., Jung, J., Mainy, N., Dreher, J. C., Bertrand, O., Baciu, M., et al. (2008). Silence is golden: Transient neural deactivation in the prefrontal cortex during attentive reading. Cerebral Cortex, 18(2), 443-450.
21. Lewis, P. A., & Miall, R. C. (2003). Brain activation patterns during measurement of sub- and supra-second intervals. Neuropsychologia, 41(12), 1583-1592.
22. Lewis, P. A., & Miall, R. C. (2006). A right hemispheric prefrontal system for cognitive time measurement. Behavioural Processes, 71(2-3), 226-234.
23. Livesey, A. C, Wall, M. B., & Smith A. T. (2007). Time perception: Manipulation of task difficulty dissociates clock functions from other cognitive demands. Neuropsychologia, 45(2), 321-331.
24. Müller, M. M., & Keil, A. (2004). Neuronal synchronization and selective color processing in the human brain. Journal of Cognitive Neuroscience, 16(3), 503-522.
25. Müller, V., Lutzenberger, W., Preissl, H., Pulvermüller, F., & Birbaumer, N. (2003). Complexity of visual stimuli and non-linear EEG dynamics in humans. Brain Research. Cognitive Brain Research, 16(1), 104-110.
26. N'Diaye K., Ragot R., Garnero L., & Pouthas V. (2004). What is common to brain activity evoked by the perception of visual and auditory filled durations? A study with MEG and EEG co-recordings. Brain Research. Cognitive Brain Research, 21(2), 250-268.
27. Palva, S., & Palva, J. M. (2007). New vistas for alpha-frequency band oscillations. Trends in Neuroscience, 30(4), 150-158.
28. Pouthas, V., Garnero, L., Ferrandez, A. M., & Renault, B. (2000). ERPs and PET analysis of time perception: Spatial and temporal brain mapping during visual discrimination tasks. Human Brain Mapping, 10(2), 49-60.
29. Pouthas, V., George, N., Poline, J. B., Pfeuty, M., Vandemoorteele, P. F., Hugueville L., et al. (2005). Neural network involved in time perception: An fMRI study comparing long and short interval estimation. Human Brain Mapping, 25(4), 433-441.
30. Pulvermüller, F., Eulitz, C., Pantev, C., Mohr, B., Feige, B., Lutzenberger, W., et al. (1996). High-frequency cortical responses reflect lexical processing: An MEG study. Electroencephalography and Clinical Neurophysiology, 98(1), 76-85.
31. Rao, S. M., Mayer, A. R., & Harrington, D. L. (2001). The evolution of brain activation during temporal processing. Nature Neuroscience, 4(3), 317-323.
32. Shih, L. Y. L., Kuo, W.-J., Yeh, T.-C., Tzeng, O. J. L., & Hsieh, J.-C. (2009). Common neural mechanisms for explicit timing in the sub-second range. NeuroReport, 20(10), 897-901.
33. Siegel, M., Donner, T. H., Oostenveld, R., Fries, P., & Engel, A. K. (2008). Neuronal synchronization along the dorsal visual pathway reflects the focus of spatial attention. Neuron, 60(4), 709-719.
34. Tallon-Baudry, C. (2009). The roles of gamma-band oscillatory synchrony in human visual cognition. Frontiers in Bioscience, 14, 321-332.
35. Thut, G., Nietzel, A., Brandt, S.A., & Pascual-Leone, A. (2006). α-Band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection. Journal of Neuroscience, 26(37), 9494-9502.
36. Vidal, J. R., Chaumon, M., O'Regan, J. K., & Tallon-Baudry, C. (2006) Visual grouping and the focusing of attention induces gamma-band oscillations at different frequencies in human magnetoencephalogram signals. Journal of Cognitive Neurosciene, 18(11), 1850-1862.
37. Wyart, V., & Tallon-Baudry, C. (2008). Neural dissociation between visual awareness and spatial attention. Journal of Neuroscience, 28(10), 2667-2679.
38. Wyart, V., & Tallon-Baudry, C. (2009). How ongoing fluctuation in human visual cortex predict perceptual awareness. Journal of Neuroscience, 29(27), 8715-8725.