The Role of the Medial Frontal Cortex in Cognitive Control
Abstract
Adaptive goal-directed behavior involves monitoring of ongoing actions and performance outcomes, and subsequent adjustments of behavior and learning. We evaluate new findings in cognitive neuroscience concerning cortical interactions that subserve the recruitment and implementation of such cognitive control. A review of primate and human studies, along with a meta-analysis of the human functional neuroimaging literature, suggest that the detection of unfavorable outcomes, response errors, response conflict, and decision uncertainty elicits largely overlapping clusters of activation foci in an extensive part of the posterior medial frontal cortex (pMFC). A direct link is delineated between activity in this area and subsequent adjustments in performance. Emerging evidence points to functional interactions between the pMFC and the lateral prefrontal cortex (LPFC), so that monitoring-related pMFC activity serves as a signal that engages regulatory processes in the LPFC to implement performance adjustments.
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References and Notes
1
M. Shidara, B. Richmond, Science296, 1709 (2002).
2
B. Knutson, G. W. Fong, C. M. Adams, J. L. Varner, D. Hommer, Neuroreport12, 3683 (2001).
3
V. Stuphorn, T. L. Taylor, J. D. Schall, Nature408, 857 (2000).
4
S. Ito, V. Stuphorn, J. W. Brown, J. D. Schall, Science302, 120 (2003).
5
K. Shima, J. Tanji, Science282, 1335 (1998).
6
J. O'Doherty, M. L. Kringelbach, E. T. Rolls, J. Hornak, C. Andrews, Nature Neurosci.4, 95 (2001).
7
M. Ullsperger, D. Y. von Cramon, J. Neurosci.23, 4308 (2003).
8
C. B. Holroyd, M. G. H. Coles, Psychol. Rev.109, 679 (2002).
9
C. B. Holroyd, J. T. Larsen, J. D. Cohen, Psychophysiology41, 245 (2004).
10
H. Gemba, K. Sasaki, V. B. Brooks, Neurosci. Lett.70, 223 (1986).
11
M. Ullsperger, D. Y. Von Cramon, Cortex, in press.
12
N. Picard, P. L. Strick, Cereb. Cortex6, 342 (1996).
13
C. B. Holroyd, S. Nieuwenhuis, R. B. Mars, M. G. H. Coles, in Cognitive Neuroscience of Attention, M. I. Posner, Ed. (Guilford, New York, in press).
14
W. J. Gehring, B. Goss, M. G. H. Coles, D. E. Meyer, E. Donchin, Psychol. Sci.4, 385 (1993).
15
M. Falkenstein, J. Hoormann, S. Christ, J. Hohnsbein, Biol. Psychol.51, 87 (2000).
16
W. Schultz, Neuron36, 241 (2002).
17
C. B. Holroyd et al., Nature Neurosci.7, 497 (2004).
18
M. M. Botvinick, T. S. Braver, D. M. Barch, C. S. Carter, J. D. Cohen, Psychol. Rev.108, 624 (2001).
19
N. Yeung, M. M. Botvinick, J. D. Cohen, Psychol. Rev., in press.
20
Materials and methods are available as supporting material on Science Online.
21
R. Hester, C. Fassbender, H. Garavan, Cereb. Cortex14, 986 (2004).
22
The majority of activations fall into the border zone between areas 8, 6, and 32, with some extension into area 24. Recent research in nonhuman primates seems to suggest a functional-anatomical dissociation of regions subserving pre-response conflict monitoring from structures sensitive to errors and omission of reward (1, 4). Although in humans this view is still under debate (11, 13, 21), the present meta-analysis does not provide unequivocal evidence for or against such a dissociation. Activations related to pre-response conflict and uncertainty occur more often in area 8 and less often in area 24 than do signal increases associated with errors and negative feedback (area 8, 32.5% versus 9.7%; area 24, 7.5% versus 25.8%), supporting the dissociation view. However, both groups of activations cluster primarily in area 32 (pre-response, 42.5%; error, 41.9%), suggesting that pre- as well as post-response monitoring processes share at least one underlying structure. It seems that the currently available spatial resolution in fMRI, in conjunction with anatomical variability and differences in scanning and preprocessing methods between studies, limit the ability to resolve this debate about a possible dissociation in the range of 10 mm or less.
23
T. Paus, Nature Rev. Neurosci.2, 417 (2001).
24
H. D. Critchley et al., Brain126, 2139 (2003).
25
E. K. Miller, J. D. Cohen, Annu. Rev. Neurosci.24, 167 (2001).
26
A. R. Aron, T. W. Robbins, R. A. Poldrack, Trends Cogn. Sci.8, 170 (2004).
27
D. Badre, A. D. Wagner, Neuron41, 473 (2004).
28
S. A. Bunge, K. N. Ochsner, J. E. Desmond, G. H. Glover, J. D. E. Gabrieli, Brain124, 2074 (2001).
29
M. Brass, D. Y. von Cramon, J. Cogn. Neurosci.16, 609 (2004).
30
K. R. Ridderinkhof et al., Science298, 2209 (2002).
31
K. R. Ridderinkhof, S. Nieuwenhuis, T. R. Bashore, Neurosci. Lett.348, 1 (2003).
32
J. G. Kerns et al., Science303, 1023 (2004).
33
H. Garavan, T. J. Ross, K. Murphy, R. A. Roche, E. A. Stein, Neuroimage17, 1820 (2002).
34
G. Bush et al., Proc. Natl. Acad. Sci. U.S.A.99, 523 (2002).
35
J. O'Doherty, H. Critchley, R. Deichmann, R. J. Dolan, J. Neurosci.23, 7931 (2003).
36
R. Cools, L. Clark, A. M. Owen, T. W. Robbins, J. Neurosci.22, 4563 (2002).
37
J. F. Bates, P. S. Goldman-Rakic, J. Comp. Neurol.336, 211 (1993).
38
M. Petrides, D. N. Pandya, Eur. J. Neurosci.11, 1011 (1999).
39
L. Koski, T. Paus, Exp. Brain Res.133, 55 (2000).
40
K. Fiehler, M. Ullsperger, D. Y. von Cramon, Eur. J. Neurosci.19, 3081 (2004).
41
W. J. Gehring, R. T. Knight, Nature Neurosci.3, 516 (2000).
42
M. I. Posner, G. J. DiGirolamo, in The Attentive Brain, R. Parasuraman, Ed. (MIT Press, Cambridge, MA, 1998), pp. 401â423.
43
K. Matsumoto, K. Tanaka, Science303, 969 (2004).
44
K. Matsumoto, K. Tanaka, Curr. Opin. Neurobiol.14, 178 (2004).
45
This research was supported by a TALENT grant (E.A.C.) and a VENI grant (S.N.) of the Netherlands Organization for Scientific Research and by the Priority Program Executive Functions of the German Research Foundation (M.U.). Helpful comments by S. Bunge are gratefully acknowledged.
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Science
Volume 306 | Issue 5695
15 October 2004
15 October 2004
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American Association for the Advancement of Science.
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Published in print: 15 October 2004
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