Archives of Physical Medicine and Rehabilitation
Volume 89, Issue 12, Supplement , Pages S16-S24 , December 2008

Examining Moderators of Cognitive Recovery Trajectories After Moderate to Severe Traumatic Brain Injury

  • Robin E. Green, PhD, CPsych

      Affiliations

    • Toronto Rehabilitation Institute, Toronto, ON, Canada
    • University of Toronto, Toronto, ON, Canada
    • Corresponding Author InformationReprint requests to Robin Green, PhD, CPsych, Toronto Rehabilitation Institute, 550 University Ave, Toronto, ON, M5G 2A2, Canada
    • ,
  • Brenda Colella, MA

      Affiliations

    • Toronto Rehabilitation Institute, Toronto, ON, Canada
    • ,
  • Bruce Christensen, PhD, CPsych

      Affiliations

    • Dept of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
    • ,
  • Kadeen Johns, BA

      Affiliations

    • Toronto Rehabilitation Institute, Toronto, ON, Canada
    • ,
  • Diana Frasca, MSc

      Affiliations

    • Toronto Rehabilitation Institute, Toronto, ON, Canada
    • University of Toronto, Toronto, ON, Canada
    • ,
  • Mark Bayley, MD, FRCPC

      Affiliations

    • Toronto Rehabilitation Institute, Toronto, ON, Canada
    • University of Toronto, Toronto, ON, Canada
    • ,
  • Georges Monette, PhD

      Affiliations

    • Department of Mathematics and Statistics, York University, Toronto, ON, Canada

  • Image Result

    Relationship between age and recovery of complex speed of processing across time. Y-axis values are z scores. The 5 curves on the graph describe the data in quantiles representing age percentiles (eg,

    Relationship between age and recovery of complex speed of processing across time. Y-axis values are z scores. The 5 curves on the graph describe the data in quantiles representing age percentiles (eg, the top curve represents the average trajectory for a 19-year-old, which is located at the twentieth percentile, meaning that 20% of the participants are 19 years of age or younger).

  • Image Result
    Relationship between premorbid IQ (pmIQ) and recovery of simple speed of processing across time. Y-axis values are z scores. The 5 curves on the graph describe the data in quantiles representing estim

    Relationship between premorbid IQ (pmIQ) and recovery of simple speed of processing across time. Y-axis values are z scores. The 5 curves on the graph describe the data in quantiles representing estimated premorbid IQ percentiles (eg, the top curve represents the average trajectory for an individual with an estimated premorbid IQ of 119.1, which is located at the twentieth percentile, meaning that 20% of the participants in our sample have an estimated IQ of 119.1 or higher).

 Supported by the Canadian Institutes of Health Research (grant nos. MOP-67072, MOP-86704).

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated.

PII: S0003-9993(08)01488-3

doi: 10.1016/j.apmr.2008.09.551

Archives of Physical Medicine and Rehabilitation
Volume 89, Issue 12, Supplement , Pages S16-S24 , December 2008

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