Individual prediction of white matter injury following traumatic brain injury

Annals of Neurology

Volumn 73, Issue 4, 2013, Pages 489-499

  Hellyer, Peter J ^a   Leech, Robert ^a   Ham, Timothy E ^a   Bonnelle, Valerie ^a,b   Sharp, David J ^a  

^a Hammersmith Hospital Campus ^*  (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ASSOCIATIVE MEMORY; BRAIN HEMORRHAGE; CASE CONTROL STUDY; COGNITIVE DEFECT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIFFUSION TENSOR IMAGING; EXECUTIVE FUNCTION; FEMALE; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MENTAL FUNCTION; NEUROPSYCHOLOGICAL TEST; PRIORITY JOURNAL; TRAUMATIC BRAIN INJURY; WHITE MATTER INJURY;

ADULT; ANISOTROPY; ASSOCIATION LEARNING; BRAIN INJURIES; COGNITION DISORDERS; EXECUTIVE FUNCTION; FEMALE; HUMANS; LEUKOENCEPHALOPATHIES; LOGISTIC MODELS; MALE; MEMORY; MIDDLE AGED; NERVE FIBERS, MYELINATED; NEUROPSYCHOLOGICAL TESTS; PREDICTIVE VALUE OF TESTS; YOUNG ADULT;

EID: 84878383950     PISSN: 03645134     EISSN: 15318249     Source Type: Journal    
DOI: 10.1002/ana.23824     Document Type: Article

References (36)

1. MacDonald CL, Dikranian K, Song SK, et al. Detection of traumatic axonal injury with diffusion tensor imaging in a mouse model of traumatic brain injury. Exp Neurol 2007; 205: 116-131.
2. Sidaros A, Engberg AW, Sidaros K, et al. Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study. Brain 2008; 131 (pt 2): 559-572.
3. Kinnunen KM, Greenwood R, Powell JH, et al. White matter damage and cognitive impairment after traumatic brain injury. Brain 2011; 134 (pt 2): 449-463.
4. Scheid R, Walther K, Guthke T, et al. Cognitive sequelae of diffuse axonal injury. Arch Neurol 2006; 63: 418-424.
5. Beauchamp MH, Ditchfield M, Babl FE, et al. Detecting traumatic brain lesions in children: CT versus MRI versus susceptibility weighted imaging (SWI). J Neurotrauma 2011; 28: 915-927.
6. Chastain CA, Oyoyo UE, Zipperman M, et al. Predicting outcomes of traumatic brain injury by imaging modality and injury distribution. J Neurotrauma 2009; 26: 1183-1196.
7. MacDonald CL, Dikranian K, Bayly P, et al. Diffusion tensor imaging reliably detects experimental traumatic axonal injury and indicates approximate time of injury. J Neurosci 2007; 27: 11869-11876.
8. Beaulieu C,. The basis of anisotropic water diffusion in the nervous system-a technical review. NMR Biomed 2002; 15: 435-455.
9. Basser PJ, Pierpaoli C,. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J Magn Reson B 1996; 111: 209-219.
10. Bonnelle V, Leech R, Kinnunen KM, et al. Default mode network connectivity predicts sustained attention deficits after traumatic brain injury. J Neurosci 2011; 31: 13442-13451.
11. Sharp DJ, Beckmann CF, Greenwood R, et al. Default mode network functional and structural connectivity after traumatic brain injury. Brain 2011; 134 (pt 8): 2233-2247.
12. Sajda P,. Machine learning for detection and diagnosis of disease. Annu Rev Biomed Eng 2006; 8: 537-565.
13. Baddeley A, Emslie H,. The doors and people test: a test of visual and verbal recall and recognition. Suffolk, UK: Thames Valley Test Company, 1994.
14. Ralph M,. Validity of the Trail Making Test as an indicator of organic brain damage. Percept Mot Skills 1959; 8: 271-276.
15. Smith SM, Jenkinson M, Woolrich MW, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004; 23 (suppl 1): S208-S219.
16. Smith SM, Jenkinson M, Johansen-Berg H, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006; 31: 1487-1505.
17. Squarcina L, Bertoldo A, Ham TE, et al. A robust method for investigating thalamic white matter tracts after traumatic brain injury. Neuroimage 2012; 63: 779-788.
18. Platt J,. Probabilistic outputs for support vector machines and comparison to regularized likelihood methods. In:, Smola A, Bartlett P, Schölkopf B, Schuurmans D, eds. Advances in large-margin classifiers. Cambridge, MA: MIT Press, 2000: 61-75.
19. Chang C, Lin CJ,. LIBSVM: a library for support vector machines. ACM Trans Int Syst Technol 2011; 2: 1-27.
20. Efron B, Tibshirani RJ,. Cross Validation and other estimates of prediction error. In: An introduction to the bootstrap. New York, NY: Chapman & Hall, 1993: 237-255.
21. Good P,. Permutation, parametric and bootstrap tests of hypotheses. 3rd ed. New York, NY: Springer, 2005.
22. Whitnall L, McMillan T, Murray G, Teasdale G,. Disability in young people and adults after head injury: 5-7 year follow up of a prospective cohort study. J Neurol Neurosurg Psychiatry 2006; 77: 640-645.
23. Bigler ED,. Distinguished Neuropsychologist Award Lecture 1999. The lesion(s) in traumatic brain injury: implications for clinical neuropsychology. Arch Clin Neuropsychol 2001; 16: 95-131.
24. Levine B, Black SE, Cheung G, et al. Gambling task performance in traumatic brain injury: relationships to injury severity, atrophy, lesion location, and cognitive and psychosocial outcome. Cogn Behav Neurol 2005; 18: 45-54.
25. Niogi SN, Mukherjee P, Ghajar J, et al. Extent of microstructural white matter injury in postconcussive syndrome correlates with impaired cognitive reaction time: a 3T diffusion tensor imaging study of mild traumatic brain injury. AJNR Am J Neuroradiol 2008; 29: 967-973.
26. Lee H, Wintermark M, Gean AD, et al. Focal lesions in acute mild traumatic brain injury and neurocognitive outcome: CT versus 3T MRI. J Neurotrauma 2008; 25: 1049-1056.
27. Adams JH,. Diffuse axonal injury in non-missile head injury. Injury 1982; 13: 444-445.
28. Medana IM, Esiri MM,. Axonal damage: a key predictor of outcome in human CNS diseases. Brain 2003; 126 (pt 3): 515-530.
29. Li J, Li X-Y, Feng D-F, Gu L,. Quantitative evaluation of microscopic injury with diffusion tensor imaging in a rat model of diffuse axonal injury. Eur J Neurosci 2011; 33: 933-945.
30. Kraus MF, Susmaras T, Caughlin BP, et al. White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study. Brain 2007; 130 (pt 10): 2508-2519.
31. Niogi SN, Mukherjee P, Ghajar J, et al. Structural dissociation of attentional control and memory in adults with and without mild traumatic brain injury. Brain 2008; 131 (pt 12): 3209-3221.
32. Kennedy MRT, Wozniak JR, Muetzel RL, et al. White matter and neurocognitive changes in adults with chronic traumatic brain injury. J Int Neuropsychol Soc 2009; 15: 130-136.
33. Klawiter EC, Schmidt RE, Trinkaus K, et al. Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords. Neuroimage 2011; 55: 1454-1460.
34. Song S-K, Sun S-W, Ju W-K, et al. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. Neuroimage 2003; 20: 1714-1722.
35. Song S-K, Sun S-W, Ramsbottom MJ, et al. Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage 2002; 17: 1429-1436.
36. Waxman SG,. Determinants of conduction velocity in myelinated nerve fibers. Muscle Nerve 1980; 3: 141-150.