Understanding the timing of incoming neural signals is fundamental to moving, speaking and perception. To properly determine causality, animals must judge motor-sensory signals with the correct timing. However, this is not an easy task for brains to solve, because signals carried by different sensory modalities are processed at different speeds. The problem of sensory delays is compounded by factors ranging from changing lighting conditions to limb growth. This suggests that the brain continually recalibrates its motor- sensory timing judgments. Our preliminary studies seem to confirm this: we make the novel demonstration that an artificially injected delay between actions and effects leads to a recalibration of temporal order judgments. Under some circumstances this leads to an illusory reversal of action and effect. The goal of this proposal is to elucidate how the brain determines causality, and how it dynamically recalibrates that determination when the timing of feedback changes. We employ a battery of techniques including novel psycho physics, Virtual Reality and fMRI. We have four aims: (SA1) Demonstrate and quantify the conditions under which brains recalibrate motor-sensory timing. To this end, we have developed novel psychophysical experiments to analyze the effect of injected delays on temporal order judgments. (SA2) Determine the neural basis of causality timing judgments using fMRI. (SA3) Explore the neural basis of causality recalibration using fMRI and computational theory. (SA4) Root these findings in the context of timing in the brain more generally. Throughout the proposal, novel psychophysical findings are buttressed by brain imaging, and both sets of results steer our understanding of the neural mechanisms. Collectively, these experiments shed light on the dynamic temporal interactions of motor-sensory systems, leading to new insights about disorders that might be properly understood as disorders of temporal calibration. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
7R01NS053960-02
Application #
7479462
Study Section
Cognitive Neuroscience Study Section (COG)
Program Officer
Chen, Daofen
Project Start
2007-05-15
Project End
2011-04-30
Budget Start
2007-05-17
Budget End
2008-04-30
Support Year
2
Fiscal Year
2007
Total Cost
$225,184
Indirect Cost
Name
Baylor College of Medicine
Department
Neurosciences
Type
Schools of Medicine
DUNS #
051113330
City
Houston
State
TX
Country
United States
Zip Code
77030
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Pariyadath, Vani; Eagleman, David M (2012) Subjective duration distortions mirror neural repetition suppression. PLoS One 7:e49362
Piantoni, Giovanni; Kline, Keith A; Eagleman, David M (2010) Beta oscillations correlate with the probability of perceiving rivalrous visual stimuli. J Vis 10:18
Piantoni, Giovanni; Kline, Keith A; Eagleman, David M (2010) Beta oscillations correlate with the probability of perceiving rivalrous visual stimuli. J Vis 10:18
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Eagleman, David M (2009) Using Time Perception to Measure Fitness for Duty. Mil Psychol 21:S123-S129
Eagleman, David M; Pariyadath, Vani (2009) Is subjective duration a signature of coding efficiency? Philos Trans R Soc Lond B Biol Sci 364:1841-51
Kline, Keith A; Eagleman, David M (2008) Evidence against the temporal subsampling account of illusory motion reversal. J Vis 8:13.1-5
Fiesta, Matthew P; Eagleman, David M (2008) A method for achieving an order-of-magnitude increase in the temporal resolution of a standard CRT computer monitor. J Neurosci Methods 174:103-5
Pariyadath, Vani; Eagleman, David M (2008) Brief subjective durations contract with repetition. J Vis 8:11.1-6

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