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Functional Correlates of Midline Brain Volume Loss in Chronic Traumatic Brain Injury

Published online by Cambridge University Press:  07 August 2015

Emma B. Guild  and
Brian Levine
Emma B. Guild
Affiliation:
Rotman Research Institute, Baycrest, Toronto, Canada Department of Psychology, University of Toronto, Canada
Brian Levine*
Affiliation:
Rotman Research Institute, Baycrest, Toronto, Canada Department of Psychology, University of Toronto, Canada Department of Medicine (Neurology), University of Toronto, Canada
*
Correspondence and reprint requests addressed to: Brian Levine, Rotman Research Institute, Baycrest, 3560 Bathurst Street, Toronto, ON, M6A 2E1. E-mail: blevine@research.baycrest.org
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Abstract

Traumatic brain injury (TBI) is associated with long-term changes in daily life functioning, yet the neuroanatomical correlates of these changes are poorly understood. This study related outcome assessed across several domains to brain structure derived from quantitative magnetic resonance imaging (MRI). Sixty individuals spanning a wide range of TBI severity participated 1-year post-injury as part of the Toronto TBI study. Volumetric data over 38 brain regions were derived from high resolution T1-weighted MRI scans. Functioning was assessed with a battery of self- and significant-other rated measures. Multivariate analysis (partial least squares) was used to identify shared variance between the neuroimaging and outcome measures. TBI was associated with item endorsement on outcome questionnaires without strong evidence for severity or focal lesion effects. Prefrontal midline, cingulate, medial temporal, right inferior parietal and basal ganglia/thalamic volumes were associated with measures of initiative, energization, and physical complaints. In the chronic stage of TBI, self-initiation, energization, and physical complaints related to a specific pattern of volume loss in midline and lateral regions known to be involved in motivation, apathy, and attention. These results suggest that crucial functional changes in chronic TBI may be associated with volume loss in established midline-frontal and attentional circuits. (JINS, 2015, 21, 650–655)

Keywords

PsychologyPsychosocial aspectsMotivationCraniocerebral traumaDiffuse axonal injuryMagnetic resonance imaging
Type
Brief Communication
Information
Journal of the International Neuropsychological Society , Volume 21 , Issue 8 , September 2015 , pp. 650 - 655
Copyright
Copyright © The International Neuropsychological Society 2015 

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References

Arndt, S., Cohen, G., Alliger, R.J., Swayze, V.W.I., & Andreasen, N.C. (1991). Problems with ratio and proportion measures of imaged cerebral structures. Psychiatry Research: Neuroimaging, 40(1), 79–89.CrossRefGoogle ScholarPubMed
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289–300.CrossRefGoogle Scholar
Bergner, M., Bobbitt, R.A., Carter, W.B., & Gilson, B.S. (1981). The Sickness Impact Profile: Development and final revision of a health status measure. Medical Care, 19(8), 787–805.CrossRefGoogle ScholarPubMed
Bonnelle, V., Leech, R., Kinnunen, K.M., Ham, T.E., Beckmann, C.F., Boissezon, X.D., & Sharp, D.J. (2011). Default mode network connectivity predicts sustained attention deficits after traumatic brain injury. The Journal of Neuroscience, 31(38), 13442–13451.CrossRefGoogle ScholarPubMed
Burgess, P.W., Alderman, N., Evans, J., Emslie, H., & Wilson, B.A. (1998). The ecological validity of tests of executive function. Journal of the International Neuropsychological Society, 4(6), 547–558.CrossRefGoogle ScholarPubMed
Burgess, P.W., Wilson, B.A., Evans, J.J., & Emslie, H. (1997). The dysexecutive questionnaire. In B.A. Wilson, N. Alderman, P.W. Burgess, H. Emslie, & J.J. Evans (Eds.), Behavioural assessment of the dysexecutive syndrome. Bury St. Edmunds, UK: Thames Valley Test Company.Google Scholar
Cummings, J.L. (1993). Frontal-subcortical circuits and human behavior. Archives of Neurology, 50(8), 873–880.CrossRefGoogle ScholarPubMed
Gennarelli, T.A., & Graham, D.I. (1998). Neuropathology of the head injuries. Seminars in Clinical Neuropsychiatry, 3(3), 160–175.Google ScholarPubMed
Hoofien, D., Vakil, E., Gilboa, A., Donovick, P.J., & Barak, O. (2002). Comparison of the predictive power of socio-economic variables, severity of injury and age on long-term outcome of traumatic brain injury: Sample-specific variables versus factors as predictors. Brain Injury, 16(1), 9–27.CrossRefGoogle ScholarPubMed
Jennett, B., & Bond, M. (1975). Assessment of outcome after severe brain damage: A practical scale. The Lancet, 305(7905), 480–484.CrossRefGoogle Scholar
Kay, T., Cavallo, M.M., Ezrachi, O., & Vavagiakis, P. (1995). The Head Injury Family Interview: A clinical and research tool. The Journal of Head Trauma Rehabilitation, 10(2), 12–31.CrossRefGoogle Scholar
Kesler, S.R., Adams, H.F., & Bigler, E.D. (2000). SPECT, MR and quantitative MR imaging: Correlates with neuropsychological and psychological outcome in traumatic brain injury. Brain Injury, 14(10), 851–857.Google ScholarPubMed
Kim, J., Parker, D., Hart, T., Pluta, J., Ingalhalikar, M., Coslett, H., &Verma, R. (2014). Disrupted structural connectome is associated with both psychometric and real-world neuropsychological impairment in diffuse traumatic brain injury. Journal of the International Neuropsychological Society, 20(9), 887–896.CrossRefGoogle ScholarPubMed
Krishnan, A., Williams, L.J., McIntosh, A.R., & Abdi, H. (2011). Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review. Neuroimage, 56(2), 455–475.CrossRefGoogle ScholarPubMed
Lehtonen, S., Stringer, A., Millis, S., Boake, C., Englander, J., Hart, T., & Whyte, J. (2005). Neuropsychological outcome and community re-integration following traumatic brain injury: The impact of frontal and non-frontal lesions. Brain Injury, 19(4), 239–256.CrossRefGoogle ScholarPubMed
Levine, B., Kovacevic, N., Nica, E., Cheung, G., Gao, F., Schwartz, M., & Black, S. (2008). The Toronto traumatic brain injury study. Neurology, 70(10), 771–778.CrossRefGoogle ScholarPubMed
Levine, B., Kovacevic, N., Nica, E.I., Schwartz, M.L., Gao, F., & Black, S.E. (2013). Quantified MRI and cognition in TBI with diffuse and focal damage. Neuroimage: Clinical, 2, 534–541.CrossRefGoogle ScholarPubMed
Levin, H.S., Mattis, S., Ruff, R.M., Eisenberg, H.M., Marshall, L.F., Tabaddor, K., & Frankowski, R.F. (1987). Neurobehavioral outcome following minor head injury: A three-center study. Journal of Neurosurgery, 66(2), 234–243.CrossRefGoogle ScholarPubMed
Novack, T.A., Bush, B.A., Meythaler, J.M., & Canupp, K. (2001). Outcome after traumatic brain injury: Pathway analysis of contributions from premorbid, injury severity, and recovery variables. Archives of Physical Medicine and Rehabilitation, 82(3), 300–305.CrossRefGoogle ScholarPubMed
Ponsford, J., Draper, K., & Schönberger, M. (2008). Functional outcome 10 years after traumatic brain injury: Its relationship with demographic, injury severity, and cognitive and emotional status. Journal of the International Neuropsychological Society, 14(2), 233–242.CrossRefGoogle ScholarPubMed
Ponsford, J., Levin, H., Shum, D., & Chan, R. (2014). Short and long-term outcomes in survivors of traumatic brain injury. In H.S. Levin, D. Shum & R.C.K. Chan (Eds.), Understanding Traumatic Brain Injury: Current Research and Future Directions (pp. 190–214). Oxford: Oxford University Press.Google Scholar
Povlishock, J.T., & Katz, D.I. (2005). Update of neuropathology and neurological recovery after traumatic brain injury. Journal of Head Trauma Rehabilitation, 20(1), 76–94.CrossRefGoogle ScholarPubMed
Schönberger, M., Ponsford, J., Reutens, D., Beare, R., Clarke, D., & O’Sullivan, R. (2011). The relationship between mood disorders and MRI findings following traumatic brain injury. Brain Injury, 25(6), 543–550.CrossRefGoogle ScholarPubMed
Schwindt, G.C., Chaudhary, S., Crane, D., Ganda, A., Masellis, M., Grady, C.L., & Black, S.E. (2013). Modulation of the default-mode network between rest and task in Alzheimer’s disease. Cerebral Cortex, 23(7), 1685–1694.CrossRefGoogle ScholarPubMed
Sherer, M., Boake, C., Levin, E., Silver, B.V., Ringholz, G., & High, W.M. (1998). Characteristics of impaired awareness after traumatic brain injury. Journal of the International Neuropsychological Society, 4(4), 380–387.CrossRefGoogle ScholarPubMed
Sherer, M., Hart, T., Whyte, J., Nick, T.G., & Yablon, S.A. (2005). Neuroanatomic basis of impaired self-awareness after traumatic brain injury: Findings from early computed tomography. The Journal of Head Trauma Rehabilitation, 20(4), 287–300.CrossRefGoogle ScholarPubMed
Stuss, D.T., & Alexander, M.P. (2007). Is there a dysexecutive syndrome? Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1481), 901–915.CrossRefGoogle Scholar
Teasdale, G., & Jennett, B. (1974). Assessment of coma and impaired consciousness: A Practical Scale. The Lancet, 304(7872), 81–84.CrossRefGoogle Scholar
Wortzel, H.S., & Arciniegas, D.B. (2012). Treatment of post-traumatic cognitive impairments. Current Treatment Options in Neurology, 14(5), 493–508.CrossRefGoogle ScholarPubMed