Literature DB >> 2420561

Terminal CNV in the absence of motor response.

D S Ruchkin, S Sutton, D Mahaffey, J Glaser.   

Abstract

We addressed the question of whether the terminal CNV, or E-wave, can be obtained in the absence of a motor response. In our design, the stimuli served only to reduce uncertainty with respect to a prior prediction, so that no response to S2 was required. In one experiment, the location of uncertainty reducing information was manipulated: in S1 alone or in S2 alone. When S2 reduced uncertainty, the pre-S2 E-wave was larger than when S2 did not reduce uncertainty. Similarly, when S1 reduced uncertainty, a pre-S1 negativity (whose topography did not differ from that of the pre-S2 E-wave) was larger than when S1 did not reduce uncertainty. The pre-S1 results also indicated that a prior experimenter-generated warning signal is not necessary for a non-motoric negativity to be obtained. In another experiment, the S1-S2 interval was manipulated (1 sec versus 3 sec). For the pre-S2 E-wave, onset was later and duration was longer for the longer S1-S2 interval. Peak amplitude and time of termination after S2 did not differ for short and long duration E-waves. Apparently, the timing of the E-wave is related to when in time the process it reflects is 'needed.' The dependence of the amplitude and timing of the pre-stimulus negativity on the temporal location of information, in conjunction with its independence of motor response requirement, suggests that the pre-stimulus negativity reflects some operation in the domain of expectancy, anticipation or 'mental preparation' for the informational stimulus.

Mesh:

Year:  1986        PMID: 2420561     DOI: 10.1016/0013-4694(86)90127-6

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  13 in total

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5.  A spatiotemporal dipole model of the stimulus preceding negativity (SPN) prior to feedback stimuli.

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8.  Updating of attentional and premotor allocation resources as function of previous trial outcome.

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9.  Disentangling the attention network test: behavioral, event related potentials, and neural source analyses.

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10.  The passive CNV: carving out the contribution of task-related processes to expectancy.

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Journal:  Front Hum Neurosci       Date:  2013-12-12       Impact factor: 3.169

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