QEEG correlates of cognitive processing speed in children and adolescents with traumatic brain injuries

References

• Abu-Hamour, B., Al Hmouz, H., Mattar, J., & Muhaidat, M. (2012). The use of Woodcock–Johnson tests for identifying students with special needs-a comprehensive literature review. Procedia – Social and Behavioral Sciences, 47, 665–673.
   Google Scholar
• Allen, D. N., Thaler, N. S., Donohue, B., & Mayfield, J. (2010). WISC-IV profiles in children with traumatic brain injury: Similarities to and differences from the WISC-III. Psychological Assessment, 22(1), 57–64.
   PubMed Web of Science ®Google Scholar
• Arroyos-Jurado, E., Paulsen, J. S., Merrell, K. W., Lindgren, S. D., & Max, J. E. (2000). Traumatic brain injury in school-age children academic and social outcome. Journal of School Psychology, 38(6), 571–587. doi:10.1016/S0022-4405(00)00053-4
   Web of Science ®Google Scholar
• Belanger, H. G., Curtiss, G., Demery, J. A., Lebowitz, B. K., & Vanderploeg, R. D. (2005). Factors moderating neuropsychological outcomes following mild traumatic brain injury: A meta-analysis. Journal of the International Neuropsychological Society, 11(3), 215–227.
   PubMed Web of Science ®Google Scholar
• Bell, M. A., & Cuevas, K. (2012). Using EEG to study cognitive development: Issues and practices. Journal of Cognition and Development, 13(3), 281–294. doi:10.1080/15248372.2012.691143
   PubMed Web of Science ®Google Scholar
• Blankenship, A. P., & Canto, A. I. (2018). Traumatic brain injuries and special education services in the schools. Exceptionality, 26(4), 218–229. doi:10.1080/09362835.2016.1238379
   Web of Science ®Google Scholar
• Bro, R., & Smilde, A. K. (2014). Principal component analysis. Analytical Methods, 6(9), 2812–2831. doi:10.1039/C3AY41907J
   Web of Science ®Google Scholar
• Chan, R. C. (2005). Sustained attention in patients with mild traumatic brain injury. Clinical Rehabilitation, 19(2), 188–193. doi:10.1191/0269215505cr838oa
   PubMed Web of Science ®Google Scholar
• Cicerone, K. D. (1996). Attention deficits and dual task demands after mild traumatic brain injury. Brain Injury, 10(2), 79–90. doi:10.1080/026990596124566
   PubMed Web of Science ®Google Scholar
• Conklin, H. M., Salorio, C. F., & Slomine, B. S. (2008). Working memory performance following paediatric traumatic brain injury. Brain Injury, 22(11), 847–857. doi:10.1080/02699050802403565
   PubMed Web of Science ®Google Scholar
• Crawford, J. R., Garthwaite, P. H., & Gault, C. B. (2007). Estimating the percentage of the population with abnormally low scores (or abnormally large score differences) on standardized neuropsychological test batteries: A generic method with applications. Neuropsychology, 21(4), 419–430. doi:10.1037/0894-4105.21.4.419
   PubMed Web of Science ®Google Scholar
• De Luca, R., Calabrò, R. S., & Bramanti, P. (2018). Cognitive rehabilitation after severe acquired brain injury: Current evidence and future directions. Neuropsychological Rehabilitation, 28(6), 879–898.
   PubMed Web of Science ®Google Scholar
• Dikmen, S., Machamer, J., & Temkin, N. (2017). Mild traumatic brain injury: Longitudinal study of cognition, functional status, and post-traumatic symptoms. Journal of Neurotrauma, 34(8), 1524–1530.
   PubMed Web of Science ®Google Scholar
• Duff, J. (2004). The usefulness of quantitative EEG (QEEG) and neurotherapy in the assessment and treatment of post-concussion syndrome. Clinical EEG and Neuroscience, 35(4), 198–209. doi:10.1177/155005940403500410
   PubMed Web of Science ®Google Scholar
• Dziuban, C. D., & Shirkey, E. C. (1974). When is a correlation matrix appropriate for factor analysis? Some decision rules. Psychological Bulletin, 81(6), 358. doi:10.1037/h0036316
   Web of Science ®Google Scholar
• Echemendia, R. J., Putukian, M., Mackin, S. R., Julian, L., & Shoss, N. (2001). Neuropsychological test performance prior to and following sports-related mild traumatic brain injury. Clinical Journal of Sport Medicine, 13(1), 22–31. doi:10.1097/00042752-200101000-00005
   Google Scholar
• Elgamal, S. A., Roy, E. A., & Sharratt, M. T. (2011). Age and verbal fluency: The mediating effect of speed of processing. Canadian Geriatrics Journal, 14(3), 66. doi:10.5770/cgj.v14i3.17
   PubMedGoogle Scholar
• Engel, A. K., & Fries, P. (2010). Beta-band oscillations-signalling the status quo? Current Opinion in Neurobiology, 20(2), 156–165. doi:10.1016/j.conb.2010.02.015
   PubMed Web of Science ®Google Scholar
• Flanagan, D. P., Ortiz, S. O., & Alfonso, V. C. (2007). Use of the cross-battery approach in the assessment of diverse individuals. In A. S. Kaufman & N. L. Kaufman (Series Ed.), Essentials of cross-battery assessment second edition (pp. 146–205). John Wiley & Sons.
   Google Scholar
• 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(3), 334–351. doi:10.1080/13803390490520328
   PubMed Web of Science ®Google Scholar
• Glang, A., Tyler, J., Pearson, S., Todis, B., & Morvant, M. (2004). Improving educational services for students with TBI through statewide consulting teams. Neuro Rehabilitation, 19(3), 219–231.
   Google Scholar
• Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Jacobson, L. A., Ryan, M., Martin, R. B., Ewen, J., Mostofsky, S. H., Denckla, M. B., & Mahone, E. M. (2011). Working memory influences processing speed and reading fluency in ADHD. Child Neuropsychology, 17(3), 209–224. doi:10.1080/09297049.2010.532204
   PubMed Web of Science ®Google Scholar
• Johansson, B., Berglund, P., & Rönnbäck, L. (2009). Mental fatigue and impaired information processing after mild and moderate traumatic brain injury. Brain Injury, 23(13–14), 1027–1040.
   PubMed Web of Science ®Google Scholar
• John, E. R., Prichep, L., Fridman, J., & Easton, P. (1988). Neurometrics: Computer-assisted differential diagnosis of brain dysfunctions. Science, 239(4836), 162–169. doi:10.1126/science.3336779
   PubMed Web of Science ®Google Scholar
• Johnstone, J., & Gunkelman, J. (2003). Use of databases in QEEG evaluation. Journal of Neurotherapy, 7(3–4), 31–52. doi:10.1300/J184v07n03_02
   Google Scholar
• Kashluba, S., Hanks, R. A., Casey, J. E., & Millis, S. R. (2008). Neuropsychologic and functional outcome after complicated mild traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 89(5), 904–911.
   PubMed Web of Science ®Google Scholar
• Kirkwood, M. W., Yeates, K. O., Taylor, H. G., Randolph, C., McCrea, M., & Anderson, V. A. (2008). Management of pediatric mild traumatic brain injury: A neuropsychological review from injury through recovery. The Clinical Neuropsychologist, 22(5), 769–800. doi:10.1080/13854040701543700
   PubMed Web of Science ®Google Scholar
• Klimesch, W. (2012). Alpha-band oscillations, attention, and controlled access to stored information. Trends in Cognitive Sciences, 16(12), 606–617.
   PubMed Web of Science ®Google Scholar
• Langlois, J. A., Rutland-Brown, W., & Wald, M. M. (2006). The epidemiology and impact of traumatic brain injury: A brief overview. The Journal of Head Trauma Rehabilitation, 21(5), 375–378.
   PubMed Web of Science ®Google Scholar
• Lauterbach, M. D., Notarangelo, P. L., Nichols, S. J., Lane, K. S., & Koliatsos, V. E. (2015). Diagnostic and treatment challenges in traumatic brain injury patients with severe neuropsychiatric symptoms: Insights into psychiatric practice. Neuropsychiatric Disease and Treatment, 11, 1601.
   PubMed Web of Science ®Google Scholar
• Lee, T. W., Wu, Y. T., Yu, Y. W. Y., Wu, H. C., & Chen, T. J. (2012). A smarter brain is associated with stronger neural interaction in healthy young females: A resting EEG coherence study. Intelligence, 40(1), 38–48. doi:10.1016/j.intell.2011.11.001
   Web of Science ®Google Scholar
• Lloyd, J., Wilson, M. L., Tenovuo, O., & Saarijärvi, S. (2015). Outcomes from mild and moderate traumatic brain injuries among children and adolescents: A systematic review of studies from 2008–2013. Brain Injury, 29(5), 539–549. doi:10.3109/02699052.2014.1002003
   PubMed Web of Science ®Google Scholar
• Lovell, M. R., Collins, M. W., & Iverson, G. L. (2003). Recovery from mild concussion in high school athletes.
   Google Scholar
• Mahalick, D. M., Carmel, P. W., Greenberg, J. P., Molofsky, W., Brown, J. A., Heary, R. F., … von der Schmidt Iii, E. (1998). Psychopharmacologic treatment of acquired attention disorders in children with brain injury. Pediatric Neurosurgery, 29(3), 121–126. doi:10.1159/000028705
   PubMed Web of Science ®Google Scholar
• Mathias, J. L., & Wheaton, P. (2007). Changes in attention and information-processing speed following severe traumatic brain injury: A meta-analytic review. Neuropsychology, 21(2), 212. doi:10.1037/0894-4105.21.2.212
   PubMed Web of Science ®Google Scholar
• McClincy, M. P., Lovell, M. R., Pardini, J., Collins, M. W., & Spore, M. K. (2006). Recovery from sports concussion in high school and collegiate athletes. Brain Injury, 20(1), 33–39. doi:10.1080/02699050500309817
   PubMed Web of Science ®Google Scholar
• Menon, D. K., Schwab, K., Wright, D. W., & Maas, A. I. (2010). Position statement: Definition of traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 91(11), 1637–40.
   PubMed Web of Science ®Google Scholar
• Modarres, M. H., Kuzma, N. N., Kretzmer, T., Pack, A. I., & Lim, M. M. (2017). EEG slow waves in traumatic brain injury: Convergent findings in mouse and man. Neurobiology of Sleep and Circadian Rhythms, 2, 59–70.
   PubMedGoogle Scholar
• Novack, T. (2011). Management of behavioral problems during acute rehabilitation of individuals with TBI. UAB traumatic brain injury model system.
   Google Scholar
• Palva, S., & Palva, J. M. (2011). Functional roles of alpha-band phase synchronization in local and large-scale cortical networks. Frontiers in Psychology, 2, 204. doi:10.3389/fpsyg.2011.00204
   PubMed Web of Science ®Google Scholar
• Picton, T. W. (1992). The P300 wave of the human event-related potential. Journal of Clinical Neurophysiology, 9(4), 456–479.
   PubMed Web of Science ®Google Scholar
• Rabinowitz, A. R., & Levin, H. S. (2014). Cognitive sequelae of traumatic brain injury. The Psychiatric Clinics of North America, 37(1), 1.
   PubMed Web of Science ®Google Scholar
• Roozenbeek, B., Maas, A. I., & Menon, D. K. (2013). Changing patterns in the epidemiology of traumatic brain injury. Nature Reviews Neurology, 9(4), 231. doi:10.1038/nrneurol.2013.22
   PubMed Web of Science ®Google Scholar
• Ruff, R. M., Iverson, G. L., Barth, J. T., Bush, S. S., & Broshek, D. K, & NAN Policy and Planning Committee. (2009). Recommendations for diagnosing a mild traumatic brain injury: A National Academy of Neuropsychology education paper. Archives of Clinical Neuropsychology, 24(1), 3–10. doi:10.1093/arclin/acp006
   PubMed Web of Science ®Google Scholar
• Schack, B., Grieszbach, G., & Krause, W. (1999). The sensitivity of instantaneous coherence for considering elementary comparison processing. Part I: the relationship between mental activities and instantaneous EEG coherence. International Journal of Psychophysiology. 31(3), 219–240.
   Google Scholar
• Schrank, F. A., McGrew, K. S., & Mather, N. (2014a). Woodcock–Johnson IV tests of achievement. Rolling Meadows, IL: Riverside.
   Google Scholar
• Schrank, F. A., McGrew, K. S., & Mather, N. (2014b). Woodcock-Johnson IV tests of cognitive abilities. Rolling Meadows, IL: Riverside.
   Google Scholar
• Silberstein, R. B., Song, J., Nunez, P. L., & Park, W. (2004). Dynamic sculpting of brain functional connectivity is correlated with performance. Brain Topography, 16(4), 249–254.
   PubMed Web of Science ®Google Scholar
• Stevens, J. (1986). Applied multivariate statistics for the social sciences. Hillsdale, NJ: Erlbaum.
   Google Scholar
• Taylor, C. A., Bell, J. M., Breiding, M. J., & Xu, L. (2017). Traumatic brain injury-related emergency department visits, hospitalizations, and deaths – United States, 2007 and 2013. MMWR Surveill Summ, 66(9), 1–16. doi:10.15585/mmwr.ss6609a1
   PubMed Web of Science ®Google Scholar
• Thatcher, R. W. (2011). Neuroguide (Version 2.7.0) [computer software]. St. Petersburg, FL: Applied Neuroscience, Inc. Retrieved from http://www.appliedneuroscience.com/ (accessed November 29, 2011).
   Google Scholar
• Thatcher, R. W., North, D., & Biver, C. (2005). EEG and intelligence: Relations between EEG coherence, EEG phase delay and power. Clinical Neurophysiology, 116(9), 2129–2141. doi:10.1016/j.clinph.2005.04.026
   PubMed Web of Science ®Google Scholar
• Thatcher, R. W., North, D. M., Curtin, R. T., Walker, R. A., Biver, C. J., Gomez, J. F., & Salazar, A. M. (2001). An EEG severity index of traumatic brain injury. The Journal of Neuropsychiatry and Clinical Neurosciences, 13(1), 77–87.
   PubMed Web of Science ®Google Scholar
• Thatcher, R. W., Walker, R. A., Gerson, I., & Geisler, F. H. (1989). EEG discriminant analysis of mild head trauma. Electroencephalography and Clinical Neurophysiology, 73(2), 94–106.
   PubMedGoogle Scholar
• Thorpe, S., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381(6582), 520.
   PubMed Web of Science ®Google Scholar
• Tsaousides, T., & Gordon, W. A. (2009). Cognitive rehabilitation following traumatic brain injury: Assessment to treatment. Mount Sinai Journal of Medicine: A Journal of Translational and Personalized Medicine: A Journal of Translational and Personalized Medicine, 76(2), 173–181.
   PubMedGoogle Scholar
• U.S. Department of Education, Office of Special Education Programs. 39th Annual report to congress on the implementation of the individuals with disabilities education act. Washington D.C.
   Google Scholar
• Vanderploeg, R. D., Curtiss, G., & Belanger, H. G. (2005). Long-term neuropsychological outcomes following mild traumatic brain injury. Journal of the International Neuropsychological Society, 11(3), 228–236.
   PubMed Web of Science ®Google Scholar
• Vinogradov, S., Kirkland, J., Poole, J. H., Drexler, M., Ober, B. A., & Shenaut, G. K. (2003). Both processing speed and semantic memory organization predict verbal fluency in schizophrenia. Schizophrenia Research, 59(2–3), 269–275. doi:10.1016/S0920-9964(02)00200-1
   PubMed Web of Science ®Google Scholar
• Wilde, E. A., Newsome, M. R., Bigler, E. D., Pertab, J., Merkley, T. L., Hanten, G., … Levin, H. S. (2011). Brain imaging correlates of verbal working memory in children following traumatic brain injury. International Journal of Psychophysiology, 82(1), 86–96.
   PubMed Web of Science ®Google Scholar
• Wozniak, J., Krach, L., Ward, E., Mueller, B., Muetzel, R., Schnoebelen, S., … Lim, K. (2007). Neurocognitive and neuroimaging correlates of pediatric traumatic brain injury: A diffusion tensor imaging (DTI) study. Archives of Clinical Neuropsychology, 22(5), 555–568.
   PubMed Web of Science ®Google Scholar
• Yeates, K. O., Armstrong, K., Janusz, J., Taylor, H. G., Wade, S., Stancin, T., & Drotar, D. (2005). Long-term attention problems in children with traumatic brain injury. Journal of the American Academy of Child and Adolescent Psychiatry, 44(6), 574–584.
   PubMed Web of Science ®Google Scholar
• Ylvisaker, M., Turkstra, L. S., & Coelho, C. (2005). November). Behavioral and social interventions for individuals with traumatic brain injury: A summary of the research with clinical implications. Seminars in Speech and Language, 26(4), 256–267. doi:10.1055/s-2005-922104
   PubMedGoogle Scholar