Parametric manipulation of conflict and response competition using rapid mixed-trial event-related fMRI

In the current study we examined the influence of preceding context on attentional conflict and response competition using a flanker paradigm. Nine healthy right-handed adults participated in a rapid mixed trial event-related functional magnetic resonance imaging (fMRI) study, in which increasing numbers of either compatible or incompatible trials preceded an incompatible trial. Behaviorally, reaction times on incompatible trials increased as a function of the number of preceding compatible trials. Several brain regions showed monotonic changes to the preceding context manipulation. The most common pattern was observed in anterior cingulate, dorsolateral prefrontal, and superior parietal regions. These areas showed an increase in activity for incompatible trials as the number of preceding compatible trials increased and a decrease in activity for incompatible trials as the number of preceding incompatible trials increased. Post hoc analysis showed that while the MR signal in the anterior cingulate and dorsolateral prefrontal regions peaked before the superior parietal region, the dorsolateral prefrontal MR signal peaked early and remained at this level. These findings are consistent with the conflict monitoring theory that postulates that the anterior cingulate cortex detects or monitors conflict, while PFC is involved in control adjustments that may then lead to modulation of superior parietal cortex in top-down biasing of attention.

[1]  Jonathan D. Cohen,et al.  A computational model of anterior cingulate function in speeded response tasks: Effects of frequency, sequence, and conflict , 2002, Cognitive, affective & behavioral neuroscience.

[2]  K. R. Ridderinkhof,et al.  Electrophysiological correlates of anterior cingulate function in a go/no-go task: Effects of response conflict and trial type frequency , 2003, Cognitive, affective & behavioral neuroscience.

[3]  Earl K. Miller,et al.  Selective representation of relevant information by neurons in the primate prefrontal cortex , 1998, Nature.

[4]  E. Donchin,et al.  Optimizing the use of information: strategic control of activation of responses. , 1992, Journal of experimental psychology. General.

[5]  R. Desimone,et al.  Neural mechanisms of selective visual attention. , 1995, Annual review of neuroscience.

[6]  Jonathan D. Cohen,et al.  Anterior Cingulate Cortex, Conflict Monitoring, and Levels of Processing , 2001, NeuroImage.

[7]  B. J. Casey,et al.  The Effect of Preceding Context on Inhibition: An Event-Related fMRI Study , 2002, NeuroImage.

[8]  C. Eriksen,et al.  A psychophysiological investigation of the continuous flow model of human information processing. , 1985, Journal of experimental psychology. Human perception and performance.

[9]  J. Cohen,et al.  Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. , 2000, Science.

[10]  G. Mangun,et al.  The neural mechanisms of top-down attentional control , 2000, Nature Neuroscience.

[11]  Edward E. Smith,et al.  A Parametric Study of Prefrontal Cortex Involvement in Human Working Memory , 1996, NeuroImage.

[12]  M. Botvinick,et al.  Conflict monitoring and cognitive control. , 2001, Psychological review.

[13]  H. Heuer,et al.  Perspectives on Perception and Action , 1989 .

[14]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[16]  Yihong Yang,et al.  A neural basis for the development of inhibitory control , 2002 .

[17]  Jonathan D. Cohen,et al.  Interference and Facilitation Effects during Selective Attention: An H2 15O PET Study of Stroop Task Performance , 1995, NeuroImage.

[18]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[19]  E. Crone,et al.  Dissociation of response conflict, attentional selection, and expectancy with functional magnetic resonance imaging. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[20]  R. Parasuraman.  The attentive brain , 1998 .

[21]  M. Tarr,et al.  Unraveling mechanisms for expert object recognition: bridging brain activity and behavior. , 2002, Journal of experimental psychology. Human perception and performance.

[22]  Jonathan D. Cohen,et al.  Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.

[23]  Karl J. Friston,et al.  Investigations of the functional anatomy of attention using the stroop test , 1993, Neuropsychologia.

[24]  M. Corbetta,et al.  Two attentional processes in the parietal lobe. , 2002, Cerebral cortex.

[25]  K. R. Ridderinkhof,et al.  Errors are foreshadowed in brain potentials associated with action monitoring in cingulate cortex in humans , 2003, Neuroscience Letters.

[26]  C. Eriksen,et al.  Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .

[27]  J. Mazziotta,et al.  Rapid Automated Algorithm for Aligning and Reslicing PET Images , 1992, Journal of computer assisted tomography.

[28]  M. Raichle,et al.  The anterior cingulate cortex mediates processing selection in the Stroop attentional conflict paradigm. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[29]  J. Jonides,et al.  Spatial working memory and spatial selective attention. , 1998 .

[30]  N. Kanwisher,et al.  Covert visual attention modulates face-specific activity in the human fusiform gyrus: fMRI study. , 1998, Journal of neurophysiology.

[31]  D Kahneman,et al.  Reaction time in focused and in divided attention. , 1974, Journal of experimental psychology.

[32]  A. Allport,et al.  Selection for action: Some behavioral and neurophysiological considerations of attention and action , 1987 .

[33]  J. Cohen,et al.  Context, cortex, and dopamine: a connectionist approach to behavior and biology in schizophrenia. , 1992, Psychological review.

[34]  E. Awh,et al.  Conflict adaptation effects in the absence of executive control , 2003, Nature Neuroscience.

[35]  B. J. Casey,et al.  Differential patterns of striatal activation in young children with and without ADHD , 2003, Biological Psychiatry.

[36]  D. Meyer,et al.  A Neural System for Error Detection and Compensation , 1993 .

[37]  Sabine Kastner,et al.  Interactive report A control of the processing of neutral and emotional stimuli , 2002 .

[38]  R. Dolan,et al.  Effects of Attention and Emotion on Face Processing in the Human Brain An Event-Related fMRI Study , 2001, Neuron.

[39]  Eliot Hazeltine,et al.  Dissociable Contributions of Prefrontal and Parietal Cortices to Response Selection , 2002, NeuroImage.

[40]  Douglas C. Noll,et al.  A Developmental Functional MRI Study of Spatial Working Memory , 1999, NeuroImage.

[41]  J. Duncan.  An adaptive coding model of neural function in prefrontal cortex , 2001 .

[42]  T. Braver,et al.  Sensitivity of prefrontal cortex to changes in target probability: A functional MRI study , 2001, Human brain mapping.

[43]  M. Botvinick,et al.  Anterior cingulate cortex, error detection, and the online monitoring of performance. , 1998, Science.

[44]  Leslie G. Ungerleider,et al.  The functional organization of human extrastriate cortex: a PET-rCBF study of selective attention to faces and locations , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.