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Performance monitoring, error processing, and evaluative control following severe TBI

Published online by Cambridge University Press:  18 October 2007

MICHAEL J. LARSON ,
DAVID A.S. KAUFMAN ,
ILONA M. SCHMALFUSS  and
WILLIAM M. PERLSTEIN
MICHAEL J. LARSON
Affiliation:
Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida
DAVID A.S. KAUFMAN
Affiliation:
Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida
ILONA M. SCHMALFUSS
Affiliation:
North Florida/South Georgia Veterans Administration Hospital, Gainesville, Florida Department of Medicine, University of Florida, Gainesville, Florida
WILLIAM M. PERLSTEIN
Affiliation:
Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida Department of Psychiatry, University of Florida, Gainesville, Florida The McKnight Brain Institute, University of Florida, Gainesville, Florida
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Abstract

Patients with severe traumatic brain injury (TBI) often demonstrate impairments in performance monitoring—an evaluative control process that can be measured using the error-negativity/error-related negativity (Ne/ERN) and post-error positivity (Pe). The Ne/ERN and Pe are event-related potential (ERP) components generated following errors, with current theories suggesting the Ne/ERN reflects automatic performance monitoring and the Pe reflects error processing and awareness. To elucidate the electrophysiological mechanisms of performance monitoring deficits following severe TBI, behavioral and ERP measurements were obtained, whereas participants with severe TBI and neurologically-healthy comparison participants performed a modified color-naming version of the Stroop task. Behaviorally, both groups demonstrated robust response-time (RT) and error-rate interference. Participants with TBI exhibited generalized RT slowing; no significant between-groups interactions were present for RTs or error rates. ERP results indicate Ne/ERN amplitude was attenuated in participants with TBI, whereas the pattern of Pe amplitude did not clearly differentiate groups. Findings suggest the Ne/ERN as a potential electrophysiological marker of evaluative control/performance monitoring impairment following TBI. Implications for future research and potential clinical application as well as potential limitations in conducting electrophysiological research in neurologically-impaired populations are discussed. (JINS, 2007, 13, 961–971.)

Keywords

Traumatic brain injuryEvent-related potentialsError-related negativityStroopCognitive controlError monitoring
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 13 , Issue 6 , November 2007 , pp. 961 - 971
Copyright
© 2007 The International Neuropsychological Society

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References

REFERENCES

Beck, A.T. (1996). Beck Depression Inventory (BDI-II) (2nd ed.). San Antonio, TX: The Psychological Corporation.
Benton, A. & Hamsher, K. (1976). Multilingual aphasia examination. Iowa City: University of Iowa.
Bertrand, O., Perrin, F., & Pernier, J. (1985). A theoretical justification of the average-reference in topographic evoked potential studies. Electroencephalography and Clinical Neurophysiology, 62, 462–464.Google Scholar
Bigler, E.D. (1990). Neuropathology of traumatic brain injury. In E.D. Bigler (Ed.), Traumatic Brain Injury. Austin, TX: Pro-ed.
Bond, M.R. (1986). Neurobehavioral sequelae of closed head injury. In I. Grant & K.M. Adams (Eds.), Neuropsychological assessment of neuropsychological disorders (pp. 347–373). New York: Oxford University Press.
Botvinick, M., Carter, C.S., Braver, T.S., Barch, D.M., & Cohen, J.D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108, 624–652.Google Scholar
Botvinick, M., Cohen, J.D., & Carter, C.S. (2004). Conflict monitoring and anterior cingulate cortex: An update. Trends in Cognitive Sciences, 8, 539–546.Google Scholar
Brandt, J. & Benedict, R.H.B. (2001). Hopkins Verbal Learning Test–Revised. Professional Manual. Lutz, Fl: Psychological Assessment Resources.
Braver, T.S., Barch, D.M., & Cohen, J.D. (1999). Cognition and control in schizophrenia: A computational model of dopamine and prefrontal function. Biological Psychiatry, 46, 312–328.Google Scholar
Bush, G., Luu, P., & Posner, M.I. (2000). Cognitive and emotional influences of the anterior cingulate cortex. Trends in Cognitive Sciences, 4, 215–222.Google Scholar
Carter, C.S., Braver, T.S., Barch, D.M., Botvinick, M., Noll, D., & Cohen, J.D. (1998). Anterior cingulate cortex, error detection, and the online monitoring of performance. Science, 280, 747–749.Google Scholar
Clark, J.H. (1924). The Ishihara test for color blindness. American Journal of Physiological Optics, 5, 269–276.Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum Associates.
Dias, R. & Aggleton, J.P. (2000). Effects of selective excitotoxic prefrontal lesions on acquisition of non-matching and matching-to-place in the T-maze in the rat: Differential involvement of the prelimbic-infralimbic and anterior cingulate cortices in providing behavioral flexibility. European Journal of Neuroscience, 12, 4457–4466.Google Scholar
Falkenstein, M., Hohnsbein, J., Hoormann, J., & Banke, L. (1991). Effects of crossmodal divided attention on late ERP components. II. Error processing in choice reaction tasks. Electroencephalography and Clinical Neurophysiology, 78, 447–455.CrossRefGoogle Scholar
Falkenstein, M., Hoormann, J., Christ, S., & Hohnsbein, J. (2000). ERP components on reaction errors and their functional significance: A tutorial. Biological Psychology, 51, 87–107.CrossRefGoogle Scholar
Fontaine, A., Azouvi, P., Bussel, B., & Samson, Y. (1996). Pre-frontal and cingulate dysfunction at the subacute stage following severe closed head injury: A high resolution PET study. Proceedings of the Australian Brain Injury Society, 1, 98–104.Google Scholar
Gehring, W.J. & Fencsik, D.E. (2001). Functions of the medial frontal cortex in the processing of conflict and errors. The Journal of Neuroscience, 21, 9430–9437.Google Scholar
Gehring, W.J., Goss, B., Coles, M.G.H., Meyer, D.E., & Donchin, E. (1993). A neural system for error detection and compensation. Psychological Science, 4, 385–390.CrossRefGoogle Scholar
Grace, J. & Malloy, P.F. (2001). Frontal Systems Behavior Scale Professional Manual. Lutz, FL: Psychological Assessment Resources, Inc.
Hajcak, G., McDonald, N., & Simons, R.F. (2003a). To err is autonomic: Error-related brain potentials, ANS activity, and post-error compensatory behavior. Psychophysiology, 40, 895–903.Google Scholar
Hajcak, G., McDonald, N., & Simons, R.F. (2003b). Anxiety and error-related brain activity. Biological Psychology, 64, 77–90.Google Scholar
Hart, T., Giovannetti, M.S., Montgomery, M.W., & Schwartz, M.F.C. (1998). Awareness of errors in naturalistic action after traumatic brain injury. Journal of Head Trauma, 13, 16–28.CrossRefGoogle Scholar
Herrmann, M.J., Rommler, J., Ehlis, A.C., Heidrich, A., & Fallgatter, A.J. (2004). Source localization (LORETA) of the error-related-negativity (ERN/Ne) and positivity (Pe). Cognitive Brain Research, 20, 294–299.Google Scholar
Holroyd, C.B. & Coles, M.G.H. (2002). The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109, 679–709.Google Scholar
Kerns, J.G., Cohen, J.D., MacDonald, A.W., Cho, R.Y., Stenger, V.A., & Carter, C.S. (2004). Anterior cingulate conflict monitoring and adjustments in control. Science, 303, 1023–1026.Google Scholar
King, N.S., Crawford, S., Wenden, F.J., Moss, N.E., & Wade, D.T. (1997). Interventions and service need following mild and moderate head injury: The Oxford Head Injury Service. Clinical Rehabilitation, 11, 13–27.Google Scholar
Larson, M.J., Kelly, K.G., Stigge-Kaufman, D.A., Schmalfuss, I.M., & Perlstein, W.M. (2007). Reward context sensitivity impairment following severe TBI: An event-related potential investigation. Journal of the International Neuropsychological Society, 13, 615–625.Google Scholar
Larson, M.J., Perlstein, W.M., Demery, J.A., & Stigge-Kaufman, D. (2006a). Cognitive control impairments in traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 28, 968–986.Google Scholar
Larson, M.J., Perlstein, W.M., Stigge-Kaufman, D., Kelly, K.G., & Dotson, V.M. (2006b). Affective context-induced modulation of the error-related negativity. Neuroreport, 17, 329–333.Google Scholar
Levine, B., Katz, D.I., Dade, L., & Black, S.E. (2002). Novel approaches to the assessment of frontal damage and executive deficits in traumatic brain injury. In D. T. Stuss & R. T. Knight (Eds.), Principles of frontal lobe function (pp. 448–465). New York: Oxford University Press.
Lezak, M.D., Howieson, D., & Loring, D. (2004). Neuropsychological Assessment (4th Edition ed.). New York: Oxford Press.
MacDonald, A.W., Cohen, J.D., Stenger, V.A., & Carter, C.S. (2000). Dissociating the role of the dorsolateral prefrontal cortex in cognitive control. Science, 288, 1835–1838.Google Scholar
Mathalon, D.H., Fedor, M., Faustman, W.O., Gray, M., Askari, N., & Ford, J.M. (2002). Response-monitoring dysfunction in schizophrenia: An event-related brain potential study. Journal of Abnormal Psychology, 111, 22–41.CrossRefGoogle Scholar
McMillan, T.M., Jongen, E.L., & Greenwood, R.J. (1996). Assessment of post-traumatic amnesia after severe closed head injury: Retrospective or prospective? Journal of Neurology, Neurosurgery, and Psychiatry, 60, 422–427.Google Scholar
Miller, E.K. & Cohen, J.D. (2001). An integrative theory of prefrontal cortex. Annual Review of Neuroscience, 24, 167–202.Google Scholar
Miltner, W.H.R., Lemke, U., Weiss, T., Holroyd, C.B., Scheffers, M.K., & Coles, M.G.H. (2003). Implementation of error-processing in the human anterior cingulate cortex: A source analysis of the magnetic equivalent of the error-related negativity. Biological Psychology, 64, 157–166.Google Scholar
Möcks, J., Köohler, W., Gasser, T., & Pham, D.T. (1988). Novel approaches to the problem of latency jitter. Psychophysiology, 25, 217–226.Google Scholar
Neter, J., Wasserman, W., & Kutner, M.H. (1985). Applied linear statistical models: Regression, analysis of variance, and experimental designs (2nd ed.). Homewood, Ill.: R.D. Irwin.
Nieuwenhuis, S., Ridderinkhof, K.R., Blom, J., Band, G.P., & Kok, A. (2001). Error-related brain potentials are differentially related to awareness of response errors: Evidence from an antisaccade task. Psychophysiology, 38, 752–760.Google Scholar
O'Keeffe, F.M., Dockree, P.M., & Robertson, I.H. (2004). Poor insight in traumatic brain injury mediated by impaired error processing? Evidence from electrodermal activity. Cognitive Brain Research, 22, 101–112.Google Scholar
Overbeek, T.J.M., Nieuwenhuis, S., & Ridderinkhof, K.R. (2005). Dissociable components of error processing: On the functional significance of the Pe vis-à-vis the ERN/Ne. Journal of Psychophysiology, 19, 319–329.Google Scholar
Ownsworth, T.L., Fleming, J., Desbois, J., Strong, J., & Kuipers, P. (2006). A metacognitive contextual intervention to enhance error awareness and functional outcome following traumatic brain injury: A single-case experimental design. Journal of the International Neuropsychological Society, 12, 54–63.Google Scholar
Perlstein, W.M., Cole, M.A., Demery, J., Seignourel, P.J., Dixit, N.K., Larson, M.J., & Briggs, R.W. (2004). Parametric manipulation of working memory load in traumatic brain injury: Behavioral and neural correlates. Journal of the International Neuropsychological Society, 10, 724–741.Google Scholar
Perlstein, W.M., Dixit, N.K., Carter, C.S., Noll, D., & Cohen, J.D. (2003). Prefrontal cortex dysfunction mediates deficits in working memory and prepotent responding in schizophrenia. Biological Psychiatry, 53, 25–38.Google Scholar
Perlstein, W.M., Larson, M.J., Dotson, V.M., & Kelly, K.G. (2006). Temporal dissociation of components of cognitive control dysfunction in severe TBI: ERPs and the cued-Stroop task. Neuropsychologia, 44, 260–274.Google Scholar
Picton, T.W., Lins, O., & Scherg, M. (1995). The recording and analysis of event-related potentials. In F. Boller & J. Grafman (Series Eds.), & R. Johnson, Jr. (Section Ed.), Handbook of neuropsychology: Vol. 10, section 14. Event-related brain potentials and cognition (pp. 3–73). Amsterdam: Elsevier.
Rabbitt, P.M.A. (1966). Errors and error correction in choice reaction tasks. Journal of Experimental Psychology, 71, 264–272.CrossRefGoogle Scholar
Rabbitt, P.M.A. (1968). Three kinds of error-signaling responses in a serial choice task. Quarterly Journal of Experimental Psychology, 20, 179–188.Google Scholar
Ratcliff, R. (1993). Methods for dealing with reaction time outliers. Psychological Bulletin, 114, 510–532.Google Scholar
Reitan, R.M. (1958). Validity of the Trail Making Test as an indicator of organic brain damage. Perceptual and Motor Skills, 8, 271–276.CrossRefGoogle Scholar
Ruchsow, M., Hernberger, B., Beschoner, P., Gron, G., Spitzer, M., & Kiefer, M. (2006). Error processing in major depressive disorder: Evidence from event-related potentials. Journal of Psychiatry Research, 40, 37–46.Google Scholar
Ruchsow, M., Herrnberger, B., Wiesend, C., Gron, G., Spitzer, M., & Kiefer, M. (2004). The effect of erroneous responses on response monitoring in patients with major depressive disorder: A study with event-related potentials. Psychophysiology, 41, 833–840.CrossRefGoogle Scholar
Rushworth, M.F.S., Hadland, K.A., Gaffan, D., & Passingham, R.E. (2003). The effect of cingulate cortex lesions on task switching and working memory. Journal of Cognitive Neuroscience, 15, 338–353.Google Scholar
Scheibel, R.S., Newsome, M.R., Steinberg, J.L., Pearson, D.A., Rauch, R.A., Mao, H., Troyanskaya, M., Sharma, R.G., & Levin, H.S. (2007). Altered brain activation during cognitive control in patients with moderate to severe traumatic brain injury. Neurorehabilitation and Neural Repair, 21, 36–45.Google Scholar
Seignourel, P.J., Robins, D.L., Larson, M.J., Demery, J.A., Cole, M., & Perlstein, W.M. (2005). Cognitive control in closed head injury: Context maintenance dysfunction or prepotent response inhibition deficit? Neuropsychology, 19, 578–590.Google Scholar
Soeda, A., Nakashima, T., Okumura, A., Kuwata, K., Shinoda, J., & Iwama, T. (2005). Cognitive impairment after traumatic brain injury: A functional magnetic resonance imaging study using the Stroop task. Neuroradiology, 47, 501–507.Google Scholar
Speilberger, C.D., Gorusch, R.L., Lushene, R., Vagg, P.R., & Jacobs, G.A. (1983). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.
Stemmer, B., Segalowitz, S.J., Witzke, W., & Schonle, P.W. (2004). Error detection in patients with lesions to the medial prefrontal cortex: An ERP study. Neuropsychologia, 42, 118–130.CrossRefGoogle Scholar
Swick, D. & Turken, A.U. (2002). Dissociation between conflict detection and error-monitoring in the human anterior cingulate cortex. Proceedings of the National Academy of Sciences, 99, 16354–16359.Google Scholar
Teasdale, G. & Jennett, B. (1974). Assessment of coma and impaired consciousness: A practical scale. Lancet, II, 81–84.Google Scholar
van Veen, V. & Carter, C.S. (2002a). The anterior cingulate as a conflict monitor: fMRI and ERP studies. Physiology and Behavior, 77, 477–482.Google Scholar
van Veen, V. & Carter, C.S. (2002b). The timing of action-monitoring processes in the anterior cingulate cortex. Journal of Cognitive Neuroscience, 14, 593–602.Google Scholar
Vidal, F., Hasbroucq, T., Grapperon, J., & Bonnet, M. (2000). Is the ‘error negativity’ specific to errors. Biological Psychology, 51, 109–128.Google Scholar
Walton, M.E., Bannerman, D.M., Alterescu, K., & Rushworth, M.F.S. (2003). Functional specialization within medial frontal cortex of the anterior cingulate for evaluating effort-related decisions. Journal of Neuroscience, 23, 6475–6479.Google Scholar
Wechsler, D. (1987). Wechsler Memory Scale–Revised. San Antonio, TX: The Psychological Corporation.
Wechsler, D. (1997). Wechsler Adult Intelligence Scale–Third Edition. San Antonio, TX: The Psychological Corporation.
Woody, C.D. (1967). Characterization of an adaptive filter for the analysis of variable latency neuroelectric signals. Medical and Biological Engineering, 5, 539–553.Google Scholar
Yeung, N. & Cohen, J.D. (2006). The impact of cognitive deficits on conflict monitoring. Predictable dissociations between the error-related negativity and N2. Psychological Science, 17, 164–171.Google Scholar