Effects of Moderate to Severe Traumatic Brain Injury on Anticipating Consequences of Actions in Adolescents: A Preliminary Study

Abstract For this pilot study, we compared performance of 15 adolescents with moderate–severe traumatic brain injury (TBI) to that of 13 typically developing (TD) adolescents in predicting social actions and consequences for avatars in a virtual microworld environment faced with dilemmas involving legal or moral infractions. Performance was analyzed in relation to cortical thickness in brain regions implicated in social cognition. Groups did not differ in number of actions predicted nor in reasons cited for predictions when presented only the conflict situation. After viewing the entire scenario, including the choice made by the avatar, TD and TBI adolescents provided similar numbers of short-term consequences. However, TD adolescents provided significantly more long-term consequences (p = .010). Additionally, for the Overall qualitative score, TD adolescents’ responses were more likely to reflect the long-term impact of the decision made (p = .053). Groups differed in relation of the Overall measure to thickness of right medial prefrontal cortex/frontal pole and precuneus, with stronger relations for the TD group (p < .01). For long-term consequences, the relations to the posterior cingulate, superior medial frontal, and precentral regions, and to a lesser extent, the middle temporal region, were stronger for the TBI group (p < .01). (JINS, 2013, 19, 1–10.)

[1]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[2]  John O. Willis,et al.  Wechsler Abbreviated Scale of Intelligence , 2014 .

[3]  E. Wiig,et al.  The Clinical Evaluation of Language Fundamentals (CELF-5) was designed to assess a student’s language and communication skills in a variety of contexts, determine the presence of a language disorder, describe the nature of the language disorder and plan for intervention , 2014 .

[4]  S. Chapman,et al.  Cognitive Communicative Challenges in TBI: Assessment and Intervention in the Long Term , 2011 .

[5]  L. Steinberg,et al.  Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry. , 2011, Developmental science.

[6]  S. Chapman,et al.  Effects of traumatic brain injury on a virtual reality social problem solving task and relations to cortical thickness in adolescence , 2011, Neuropsychologia.

[7]  Serge A. R. B. Rombouts,et al.  Adolescent risky decision-making: Neurocognitive development of reward and control regions , 2010, NeuroImage.

[8]  Daniel C. Krawczyk,et al.  Deficits in Analogical Reasoning in Adolescents with Traumatic Brain Injury , 2010, Front. Hum. Neurosci..

[9]  Erin D Bigler,et al.  Patterns of Cortical Thinning in Relation to Event-Based Prospective Memory Performance Three Months after Moderate to Severe Traumatic Brain Injury in Children , 2010, Developmental neuropsychology.

[10]  Jin Fan,et al.  Neural correlates of using distancing to regulate emotional responses to social situations , 2010, Neuropsychologia.

[11]  Christopher S. Monk,et al.  Alterations of resting state functional connectivity in the default network in adolescents with autism spectrum disorders , 2010, Brain Research.

[12]  Michael Schaefer,et al.  Distinct brain networks in recognition memory share a defined region in the precuneus , 2009, The European journal of neuroscience.

[13]  Erin D Bigler,et al.  Diffuse changes in cortical thickness in pediatric moderate-to-severe traumatic brain injury. , 2008, Journal of neurotrauma.

[14]  Benjamin Y. Hayden,et al.  Posterior Cingulate Cortex Mediates Outcome-Contingent Allocation of Behavior , 2008, Neuron.

[15]  Cathy Catroppa,et al.  Social problem-solving skills as a mediator between executive function and long-term social outcome following paediatric traumatic brain injury. , 2008, Journal of neuropsychology.

[16]  S. Chapman,et al.  Correlates of social problem solving during the first year after traumatic brain injury in children. , 2008, Neuropsychology.

[17]  G. Dunn,et al.  Virtual reality study of paranoid thinking in the general population , 2008, British Journal of Psychiatry.

[18]  Jay N Giedd,et al.  The teen brain: insights from neuroimaging. , 2008, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[19]  Keith Owen Yeates,et al.  Social outcomes in childhood brain disorder: a heuristic integration of social neuroscience and developmental psychology. , 2007, Psychological bulletin.

[20]  P. Mitchell,et al.  Using Virtual Environments for Teaching Social Understanding to 6 Adolescents with Autistic Spectrum Disorders , 2007, Journal of autism and developmental disorders.

[21]  Mariano Alcañiz Raya,et al.  Affective Interactions Using Virtual Reality: The Link between Presence and Emotions , 2007, Cyberpsychology Behav. Soc. Netw..

[22]  G. Fink,et al.  Being with virtual others: Neural correlates of social interaction , 2006, Neuropsychologia.

[23]  Peter Mitchell,et al.  Virtual environments for social skills training: comments from two adolescents with autistic spectrum disorder , 2006, Comput. Educ..

[24]  H. Levin,et al.  Decision-making after Traumatic Brain Injury in Children: A Preliminary Study , 2006, Neurocase.

[25]  Anders M. Dale,et al.  Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer , 2006, NeuroImage.

[26]  Dinggang Shen,et al.  Puberty-related influences on brain development , 2006, Molecular and Cellular Endocrinology.

[27]  Anders M. Dale,et al.  Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.

[28]  A. Bechara Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective , 2005, Nature Neuroscience.

[29]  H. Levin,et al.  Executive functions after traumatic brain injury in children. , 2005, Pediatric neurology.

[30]  Laurence Steinberg,et al.  Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: an experimental study. , 2005, Developmental psychology.

[31]  Claudia Pedroza,et al.  Frontal and temporal morphometric findings on MRI in children after moderate to severe traumatic brain injury. , 2005, Journal of neurotrauma.

[32]  M. Walton,et al.  Action sets and decisions in the medial frontal cortex , 2004, Trends in Cognitive Sciences.

[33]  Sarah Parsons,et al.  The Use and Understanding of Virtual Environments by Adolescents with Autistic Spectrum Disorders , 2004, Journal of autism and developmental disorders.

[34]  Thomas F. Nugent,et al.  Dynamic mapping of human cortical development during childhood through early adulthood. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[35]  D. Drotar,et al.  Short- and long-term social outcomes following pediatric traumatic brain injury , 2004, Journal of the International Neuropsychological Society.

[36]  Frank Biocca,et al.  Toward a More Robust Theory and Measure of Social Presence: Review and Suggested Criteria , 2003, Presence: Teleoperators & Virtual Environments.

[37]  P. Mitchell,et al.  The potential of virtual reality in social skills training for people with autistic spectrum disorders. , 2002, Journal of intellectual disability research : JIDR.

[38]  Giuseppe Riva,et al.  Panic and Agoraphobia in a Virtual World , 2002, Cyberpsychology Behav. Soc. Netw..

[39]  Crystal L. Hoyt,et al.  Immersive Virtual Environment Technology as a Methodological Tool for Social Psychology , 2002 .

[40]  M. Ylvisaker,et al.  Executive functions, self-regulation, and learned optimism in paediatric rehabilitation: a review and implications for intervention , 2002, Pediatric rehabilitation.

[41]  L. Turkstra,et al.  Social Information Processing in Adolescents: Data from Normally Developing Adolescents and Preliminary Data from Their Peers with Traumatic Brain Injury , 2001, The Journal of head trauma rehabilitation.

[42]  M. Korkman,et al.  Differential Development of Attention and Executive Functions in 3- to 12-Year-Old Finnish Children , 2001, Developmental neuropsychology.

[43]  Vicki A. Anderson,et al.  Development of Executive Functions Through Late Childhood and Adolescence in an Australian Sample , 2001, Developmental neuropsychology.

[44]  Anders M. Dale,et al.  A hybrid approach to the Skull Stripping problem in MRI , 2001, NeuroImage.

[45]  S. Chapman,et al.  Discussion of developmental plasticity: factors affecting cognitive outcome after pediatric traumatic brain injury. , 2000, Journal of communication disorders.

[46]  J. Loomis,et al.  Immersive virtual environment technology as a basic research tool in psychology , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[47]  J. Taylor,et al.  Episodic retrieval activates the precuneus irrespective of the imagery content of word pair associates. A PET study. , 1999, Brain : a journal of neurology.

[48]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[49]  M. Sohlberg,et al.  SCEMA: A team-based approach to serving secondary students with executive dysfunction following brain injury , 1998 .

[50]  Donald T. Stuss,et al.  Biological and psychological development of executive functions , 1992, Brain and Cognition.

[51]  Carrie Heater,et al.  Being There: The Subjective Experience of Presence , 1992, Presence: Teleoperators & Virtual Environments.

[52]  J. Fletcher,et al.  Developmental changes in performance on tests of purported frontal lobe functioning , 1991 .

[53]  K. Yeates The Development of Interpersonal Negotiation Strategies in Thought and Action: A Social-Cognitive Link to Behavioral Adjustment and Social Status. , 1991 .

[54]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[55]  D. Brooks Neuropsychology: A Clinical Approach , 1978 .

[56]  B. Jennett,et al.  Assessment of coma and impaired consciousness. A practical scale. , 1974, Lancet.