Relation of frontal eye field activity to saccade initiation during a countermanding task

被引:0
作者
Joshua W. Brown
Doug P. Hanes
Jeffrey D. Schall
Veit Stuphorn
机构
[1] Vanderbilt University,Center for Integrative and Cognitive Neuroscience, Vanderbilt Vision Research Center, Department of Psychology
[2] Indiana University,Department of Psychological and Brain Sciences
[3] Johns Hopkins University,The Zanvyl Krieger Mind/Brain Institute and The Department of Psychological and Brain Sciences
来源
Experimental Brain Research | 2008年 / 190卷
关键词
Frontal cortex; Motor control; Oculomotor; Reaction time; Response time; Stochastic models; Stop signal; Saccade latency;
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学科分类号
摘要
The countermanding (or stop signal) task probes the control of the initiation of a movement by measuring subjects’ ability to withhold a movement in various degrees of preparation in response to an infrequent stop signal. Previous research found that saccades are initiated when the activity of movement-related neurons reaches a threshold, and saccades are withheld if the growth of activity is interrupted. To extend and evaluate this relationship of frontal eye field (FEF) activity to saccade initiation, two new analyses were performed. First, we fit a neurometric function that describes the proportion of trials with a stop signal in which neural activity exceeded a criterion discharge rate as a function of stop signal delay, to the inhibition function that describes the probability of producing a saccade as a function of stop signal delay. The activity of movement-related but not visual neurons provided the best correspondence between neurometric and inhibition functions. Second, we determined the criterion discharge rate that optimally discriminated between the distributions of discharge rates measured on trials when saccades were produced or withheld. Differential activity of movement-related but not visual neurons could distinguish whether a saccade occurred. The threshold discharge rates determined for individual neurons through these two methods agreed. To investigate how reliably movement-related activity predicted movement initiation; the analyses were carried out with samples of activity from increasing numbers of trials from the same or from different neurons. The reliability of both measures of initiation threshold improved with number of trials and neurons to an asymptote of between 10 and 20 movement-related neurons. Combining the activity of visual neurons did not improve the reliability of predicting saccade initiation. These results demonstrate how the activity of a population of movement-related but not visual neurons in the FEF contributes to the control of saccade initiation. The results also validate these analytical procedures for identifying signals that control saccade initiation in other brain structures.
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[1]  
Andersen RA(2002)Intentional maps in posterior parietal cortex Ann Rev Neurosci 25 189-200
[2]  
Buneo CA(2005)An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance Annu Rev Neurosci 28 403-450
[3]  
Aston-Jones G(2001)Reliability of macaque frontal eye field neurons signaling saccade targets during visual search J Neurosci 21 713-725
[4]  
Cohen JD(2006)The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks Psychol Rev 113 700-765
[5]  
Bichot NP(1992)The analysis of visual motion: a comparison of neuronal and psychophysical performance J Neurosci 12 4745-4765
[6]  
Thompson KG(2001)Reliability of macaque FEF but not SEF movement neurons predicting saccade initiation Soc Neurosci Abstr 27 575-579
[7]  
Chenchal Rao S(2004)Phasic activation of monkey locus ceruleus neurons by simple decisions in a forced-choice task J Neurosci 24 9914-9920
[8]  
Schall JD(1999)Space and attention in parietal cortex Ann Rev Neurosci 22 319-349
[9]  
Bogacz R(2002)Dynamics of neuronal responses in macaque MT and VIP during motion detection Nat Neurosci 5 985-994
[10]  
Brown E(1993)Grice-representability of response time distribution families Psychometrika 58 281-314