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Performance Monitoring and Cognitive Control in Individuals with Mild Traumatic Brain Injury

Published online by Cambridge University Press:  25 January 2012

Michael J. Larson*
Affiliation:
Departments of Psychology, Brigham Young University, Provo, Utah Neuroscience Center, Brigham Young University, Provo, Utah
Peter E. Clayson
Affiliation:
Departments of Psychology, Brigham Young University, Provo, Utah Department of Psychology, University of California-Los Angeles, Los Angeles, California
Thomas J. Farrer
Affiliation:
Departments of Psychology, Brigham Young University, Provo, Utah
*
Correspondence and reprint requests to: Michael J. Larson, Department of Psychology, Brigham Young University, 244 TLRB, Provo, UT 84602. E-mail: [email protected]

Abstract

Literature suggests that individuals with mild traumatic brain injury (mTBI) show subtle abnormalities in the cognitive control process of performance monitoring. The neural bases of performance monitoring can be measured using the error-related negaitivity (ERN) and post-error positivity (Pe) components of the scalp-recorded event-related potential (ERP). Thirty-six individuals with mTBI and 46 demographically similar controls completed a modified color-naming Stroop task while ERPs were recorded. Separate repeated-measures analyses of variance were used to examine the behavioral (response times [RT] and error rates) and ERP (ERN and Pe amplitudes) indices of performance monitoring. Both groups showed slower RTs and increased error rates on incongruent trials relative to congruent trials. Likewise, both groups showed more negative ERN and more positive Pe amplitude to error trials relative to correct trials. Notably, there were no significant main effects or interactions of group for behavioral and ERP measures. Subgroup and correlational analyses with post-concussive symptoms and indices of injury severity were also not significant. Findings suggest comparable performance to non-injured individuals in some aspects of cognitive control in this sample. Neuropsychological implications and comparison with other cognitive control component processes in individuals with TBI are provided. (JINS, 2012, 18, 323–333)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2012

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References

Beck, A.T. (1996). Beck Depression Inventory—Second Edition (BDI-II). San Antonio, TX: The Psychological Corporation.Google Scholar
Benton, A., Hamsher, K. (1976). Multilingual Aphasia Examination. Iowa City, IO: University of Iowa.Google Scholar
Binder, L.M., Rohling, M.L., Larrabee, G.J. (1997). A review of mild head trauma. Part I: Meta-analytic review of neuropsychologicla studies. Journal of Clinical and Experimental Neuropsychology, 19, 421431.CrossRefGoogle ScholarPubMed
Bohnen, N., Jolles, J., Twijnstra, A. (1992). Neuropsychological deficits in patients with persistent symptoms six months after mild head injury. Neurosurgery, 30, 692695.Google ScholarPubMed
Botvinick, M.W., Carter, C.S., Braver, T.S., Barch, D.M., Cohen, J.D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108, 624652.CrossRefGoogle ScholarPubMed
Broglio, S.P., Pontifex, M.B., O'Connor, P.M., Hillman, C.H. (2009). The persistent effects of concussion on neuroelectric indices of attention. Journal of Neurotrauma, 26, 14631470.CrossRefGoogle ScholarPubMed
Carroll, J.F.X., McGinley, J.J. (2001). Mental Health Screening Form-III (MHSF-III). New York, NY: Project Return Foundation, Inc.Google Scholar
Carroll, L.J., Cassidy, J.D., Holm, L., Kraus, J., Coronado, V.G. (2004). Methodological issues and research recommendations for mild traumatic brain injury: The WHO Collaborating Centre Task Force on Mild Traumatic Brain Injury. Journal of Rehabilitation Medicine, 43, 113125.CrossRefGoogle Scholar
Carter, C.S., van Veen, V. (2007). Anterior cingulate cortex and conflict detection: An update of theory and data. Cognitive Affective and Behavioral Neuroscience, 7, 367379.CrossRefGoogle ScholarPubMed
Chiu, P.H., Deldin, P.J. (2007). Neural evidence for enhanced error detection in major depressive disorder. American Journal of Psychiatry, 164, 608616.CrossRefGoogle ScholarPubMed
Clayson, P.E., Larson, M.J. (2011). Conflict adaptation and sequential trial effects: Support for the conflict monitoring theory. Neuropsychologia, 49, 19531961.CrossRefGoogle ScholarPubMed
Cohen, J.D., Botvinick, M., Carter, C.S. (2000). Anterior cingulate and prefrontal cortex: Who's in control? Nature Neuroscience, 3, 421423.CrossRefGoogle ScholarPubMed
Compton, R.J., Carp, J., Chaddock, L., Fineman, S.L., Quandt, L.C., Ratliff, J.B. (2007). Anxiety and error monitoring: Increased sensitivity or altered expectations? Brain and Cognition, 64, 247256.CrossRefGoogle ScholarPubMed
Compton, R.J., Lin, M., Vargas, G., Carp, J., Fineman, S.L., Quandt, L.C. (2008). Error detection and posterror behavior in depressed undergraduates. Emotion, 8, 5867.CrossRefGoogle ScholarPubMed
Corbetta, M., Shulman, G.L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3, 215229.CrossRefGoogle ScholarPubMed
Desimone, R., Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193222.CrossRefGoogle ScholarPubMed
Dien, J. (2010a). Evaluating two-step PCA of ERP data with Geomin, Infomax, Oblimin, Promax, and Varimax rotations. Psychophysiology, 47, 170183.CrossRefGoogle ScholarPubMed
Dien, J. (2010b). The ERP PCA Toolkit: An open source program for advanced statistical analysis of event-related potential data. Journal of Neuroscience Methods, 187, 138145.CrossRefGoogle Scholar
Dien, J., Beal, D.J., Berg, P. (2005). Optimizing principal components analysis of event-related potentials: Matrix type, factor loading weighting, extraction, and rotations. Clinical Neurophysiology, 116, 18081825.CrossRefGoogle ScholarPubMed
Dien, J., Khoe, W., Mangun, G.R. (2007). Evaluation of PCA and ICA of simulated ERPs: Promax vs. Infomax rotations. Human Brain Mapping, 28, 742763.CrossRefGoogle ScholarPubMed
Dien, J., Michelson, C.A., Franklin, M.S. (2010). Separating the visual sentence N400 effect from the P400 sequential expectancy effect: Cognitive and neuroanatomical implications. Brain Research, 1355, 126140.CrossRefGoogle ScholarPubMed
Dien, J., Santuzzi, A.M. (2005). Principal components analysis of event-related potential datasets. In T. Handy (Ed.), Event-related potentials: A methods handbook. Cambridge, MA: MIT Press.Google Scholar
Dien, J., Spencer, K.M., Donchin, E. (2004). Parsing the late positive complex: Mental chronometry and the ERP components that inhabit the neighborhood of the P300. Psychophysiology, 41, 665678.CrossRefGoogle ScholarPubMed
Dupuis, F., Johnston, K.M., Lavoie, M.E., Lepore, F., Lassonde, M. (2000). Concussions in athletes produce brain dysfunction as revealed by event-related potentials. Neuroreport, 11, 40874092.CrossRefGoogle ScholarPubMed
Egner, T., Hirsch, J. (2005a). Cognitive control mechanisms resolve conflict through cortical amplification of task-relevant information. Nature Neuroscience, 8, 17841790.CrossRefGoogle ScholarPubMed
Egner, T., Hirsch, J. (2005b). The neural correlates and functional integration of cognitive control in a Stroop task. Neuroimage, 24, 539547.CrossRefGoogle Scholar
Ellemberg, D., Leclerc, S., Couture, S., Daigle, C. (2007). Prolonged neuropsychological impairments following a first concussion in female university soccer athletes. Clinical Journal of Sport Medicine, 17, 369374.CrossRefGoogle ScholarPubMed
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, 447455.CrossRefGoogle ScholarPubMed
Falkenstein, M., Hoormann, J., Christ, S., Hohnsbein, J. (2000). ERP components on reaction errors and their functional significance: A tutorial. Biological Psychology, 51, 87107.CrossRefGoogle ScholarPubMed
Foti, D., Weinberg, A., Dien, J., Hajcak, G. (2011). Event-related potential activity in the basal ganglia differentiates rewards from nonrewards: Temporospatial principal components analysis and source localization of the feedback negativity. Human Brain Mapping, 32, 22072216.CrossRefGoogle ScholarPubMed
Frencham, K.A., Fox, A.M., Maybery, M.T. (2005). Neuropsychological studies of mild traumatic brain injury: A meta-analytic review of research since 1995. Journal of Clinical and Experimental Neuropsychology, 27, 334351.CrossRefGoogle ScholarPubMed
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, 385390.CrossRefGoogle Scholar
Hanslmayr, S., Pastotter, B., Bauml, K.H., Gruber, S., Wimber, M., Klimesch, W. (2008). The electrophysiological dynamics of interference during the Stroop task. Journal of Cognitive Neuroscience, 20, 215225.CrossRefGoogle ScholarPubMed
Hartikainen, K.M., Waljas, M., Isoviita, T., Dastidar, P., Liimatainen, S., Solbakk, A.K., Ohman, J. (2010). Persistent symptoms in mild to moderate traumatic brain injury associated with executive dysfunction. Journal of Clinical & Experimental Neuropsychology, 32, 767774.CrossRefGoogle ScholarPubMed
Hester, R., Foxe, J.J., Molholm, S., Shpaner, M., Garavan, H. (2005). Neural mechanisms involved in error processing: A comparison of errors made with and without awareness. Neuroimage, 27, 602608.CrossRefGoogle ScholarPubMed
Hiekkanen, H., Kurki, T., Brandstack, N., Kairisto, V., Tenovuo, O. (2009). Association of injury severity, MRI-results and ApoE genotype with 1-year outcome in mainly mild TBI: A preliminary study. Brain Injury, 23, 396402.CrossRefGoogle ScholarPubMed
Holmes, A.J., Pizzagalli, D.A. (2008). Spatiotemporal dynamics of error processing dysfunction in major depressive disorder. Archives of General Psychiatry, 65, 179188.CrossRefGoogle ScholarPubMed
Horn, J.L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179185.CrossRefGoogle ScholarPubMed
Jung, T.P., Humphries, C., Lee, W.-W., Makeig, S., McKeown, M.J., Iragui, V., Sejnowskit, T.J. (1998). Extended ICA removes artifacts from electroencephalographic data. Advances in Neural Information Processing Systems, 10, 894900.Google Scholar
Jung, T.P., Makeig, S., Humphries, C., Lee, T.-W., McKeown, M.J., Iragui, V., Sejnowski, T.J. (2000). Removing electroencephalographic artifacts by blind source separation. Psychophysiology, 37, 163178.CrossRefGoogle ScholarPubMed
Jung, T.P., Makeig, S., Westerfield, M., Townsend, J., Courchesne, E., Sejnowski, T.J. (2000). Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. Clinical Neurophysiology, 111, 17451758.CrossRefGoogle ScholarPubMed
Kay, T., Harrington, D.E., Adams, R., Anderson, T., Berrol, S., Cicerone, K., Malec, J. (1993). Report of the Mild Traumatic Brain Injury Committee of the Head Injury Interdisciplinary Special Interest Group of the American Congress of Rehabilitation Medicine: Definition of mild traumatic injury. Journal of Head Trauma Rehabilitation, 8, 8687.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, 10231026.CrossRefGoogle ScholarPubMed
Kim, M.S., Kang, S.S., Shin, K.S., Yoo, S.Y., Kim, Y.Y., Kwon, J.S. (2006). Neuropsychological correlates of error negativity and positivity in schizophrenia patients. Psychiatry and Clinical Neurosciences, 60, 303311.CrossRefGoogle ScholarPubMed
King, N.S., Crawford, S., Wenden, F.J., Moss, N.E., Wade, D.T. (1995). The Rivermead Post-Concussion Symptoms Questionnaire: A measure of symptoms commonly experienced after head injury and its reliability. Journal of Neurology, 242, 587592.CrossRefGoogle ScholarPubMed
Lagerlund, T.D., Sharbrough, F.W., Busacker, N.E. (1997). Spatial filtering of multichannel electroencephalographic recordings through principal component analysis by singular value decomposition. Journal of Clinical Neurophysiology, 14, 7382.CrossRefGoogle ScholarPubMed
Larson, M.J., Farrer, T.J., Clayson, P.E. (2011). Cognitive control in mild traumatic brain injury: Conflict monitoring and conflict adaptation. International Journal of Psychophysiology, 82, 6978.CrossRefGoogle ScholarPubMed
Larson, M.J., Kaufman, D.A., Kellison, I.L., Schmalfuss, I.M., Perlstein, W.M. (2009). Double jeopardy! The additive consequences of negative affect on performance-monitoring decrements following traumatic brain injury. Neuropsychology, 23, 433444.CrossRefGoogle ScholarPubMed
Larson, M.J., Kaufman, D.A., Perlstein, W.M. (2009). Conflict adaptation and cognitive control adjustments following traumatic brain injury. Journal of the International Neuropsychological Society, 15, 927937.CrossRefGoogle ScholarPubMed
Larson, M.J., Kaufman, D.A., Schmalfuss, I.M., Perlstein, W.M. (2007). Performance monitoring, error processing, and evaluative control following severe TBI. Journal of the International Neuropsychological Society, 13, 961971.CrossRefGoogle ScholarPubMed
Larson, M.J., Perlstein, W.M. (2009). Awareness of deficits and error processing after traumatic brain injury. Neuroreport, 20, 14861490.CrossRefGoogle ScholarPubMed
Larson, M.J., Perlstein, W.M., Demery, J.A., Stigge-Kaufman, D. (2006). Cognitive control impairments in traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 28, 968986.CrossRefGoogle ScholarPubMed
Lavoie, M.E., Dupuis, F., Johnston, K.M., Leclerc, S., Lassonde, M. (2004). Visual p300 effects beyond symptoms in concussed college athletes. Journal of Clinical & Experimental Neuropsychology, 26, 5573.CrossRefGoogle ScholarPubMed
Luck, S.J. (2005). An introduction to the event-related potential technique. Cambridge, MA: The MIT Press.Google Scholar
Morris, S.E., Yee, C.M., Nuechterlein, K.H. (2006). Electrophysiological analysis of error monitoring in schizophrenia. Journal of Abnormal Psychology, 115, 239250.CrossRefGoogle ScholarPubMed
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, 752760.CrossRefGoogle ScholarPubMed
Olvet, D.M., Hajcak, G. (2009). The stability of error-related brain activity with increasing trials. Psychophysiology, 46, 957961.CrossRefGoogle ScholarPubMed
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, 319329.CrossRefGoogle Scholar
Ownsworth, T., 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, 5463.CrossRefGoogle ScholarPubMed
Ownsworth, T., Quinn, H., Fleming, J., Kendall, M., Shum, D. (2010). Error self-regulation following traumatic brain injury: A single case study evaluation of metacognitive skills training and behavioural practice interventions. Neuropsychological Rehabilitation, 20, 5980.CrossRefGoogle ScholarPubMed
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, 260274.CrossRefGoogle ScholarPubMed
Pertab, J.L., James, K.M., Bigler, E.D. (2009). Limitations of mild traumatic brain injury meta-analyses. Brain Injury, 23, 498508.CrossRefGoogle ScholarPubMed
Pontifex, M.B., O'Connor, P.M., Broglio, S.P., Hillman, C.H. (2009). The association between mild traumatic brain injury history and cognitive control. Neuropsychologia, 47, 32103216.CrossRefGoogle ScholarPubMed
Rainer, G., Asaad, W.F., Miller, E.K. (1998). Selective representation of relevant information by neurons in the primate prefrontal cortex. Nature, 393, 577579.CrossRefGoogle ScholarPubMed
Reitan, R.M. (1958). Validity of the Trail Making Test as an indicator of organic brain damage. Perceptual and Motor Skills, 8, 271276.CrossRefGoogle Scholar
Rey, A. (1964). L'examen Clinique en Psychologie. Paris: Presses Universitaires de France.Google Scholar
Ruff, R.M., Iverson, G.L., Barth, J.T., Bush, S.S., Broshek, D.K. (2009). Recommendations for diagnosing a mild traumatic brain injury: A National Academy of Neuropsychology education paper. Archives of Clinical Neuropsychology, 24, 310.CrossRefGoogle ScholarPubMed
Scheibel, R.S., Newsome, M.R., Steinberg, J.L., Pearson, D.A., Rauch, R.A., Mao, H., Levin, H.S. (2007). Altered brain activation during cognitive control in patients with moderate to severe traumatic brain injury. Neurorehabilitation and Neural Repair, 21, 3645.CrossRefGoogle ScholarPubMed
Scheibel, R.S., Newsome, M.R., Troyanskaya, M., Steinberg, J.L., Goldstein, F.C., Mao, H., Levin, H.S. (2009). Effects of severity of traumatic brain injury and brain reserve on cognitive-control related brain activation. Journal of Neurotrauma, 26, 14471461.CrossRefGoogle ScholarPubMed
Speilberger, C.D., Gorusch, R.L., Lushene, R. (1970). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.Google Scholar
Theriault, M., De Beaumont, L., Gosselin, N., Filipinni, M., Lassonde, M. (2009). Electrophysiological abnormalities in well functioning multiple concussed athletes. Brain Injury, 23, 899906.CrossRefGoogle ScholarPubMed
Vanderploeg, R.D., Curtiss, G., Luis, C.A., Salazar, A.M. (2007). Long-term morbidities following self-reported mild traumatic brain injury. Journal of Clinical & Experimental Neuropsychology, 29, 585598.CrossRefGoogle ScholarPubMed
Wechsler, D. (1987). Wechsler Memory Scale-Revised. San Antonio, TX: The Psychological Corporation.Google Scholar
Wechsler, D. (1997). Wechsler Adult Intelligence Scale--Third Edition. San Antonio, TX: The Psychological Corporation.Google Scholar
Yeung, N., Botvinick, M.M., Cohen, J.D. (2004). The neural basis of error detection: Conflict monitoring and the error-related negativity. Psychological Review, 111, 931959.CrossRefGoogle ScholarPubMed