Prediction of motor outcome based on diffusion tensor tractography findings in thalamic hemorrhage

International Journal of Neuroscience

Volumn 123, Issue 4, 2013, Pages 233-239

  Jang, Sung Ho ^a   Choi, Byung Yeon ^a   Chang, Chul Hoon ^a   Kim, Seong Ho ^a   Chang, Min Cheol ^a  

^a Yeungnam University College of Medicine   (South Korea)

Author keywords

Corticospinal tract; Diffusion tensor tractography; Motor function; Prognosis; Thalamic hemorrhage

Indexed keywords

ADULT; AGED; ARTICLE; BRAIN HEMATOMA; BRAIN HEMORRHAGE; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC VALUE; DIFFUSION TENSOR IMAGING; ECHO PLANAR IMAGING; FEMALE; FRACTIONAL ANISOTROPY; FUNCTIONAL AMBULATION CATEGORY; HUMAN; MALE; MODIFIED BRUNNSTROM CLASSIFICATION; MOTOR PERFORMANCE; MOTRICITY INDEX; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTIVE VALUE; PYRAMIDAL TRACT; THALAMUS; VALIDITY;

AGED; AGED, 80 AND OVER; ANISOTROPY; BRAIN MAPPING; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; INTRACRANIAL HEMORRHAGES; MALE; MIDDLE AGED; MOTOR ACTIVITY; PREDICTIVE VALUE OF TESTS; PROGNOSIS; THALAMUS;

EID: 84875140173     PISSN: 00207454     EISSN: 15635279     Source Type: Journal    
DOI: 10.3109/00207454.2012.752364     Document Type: Article

References (36)

1. Bogousslavsky J, Caplan LR. Stroke syndromes. In: Kim JS, ed. Sensory abnormality. New York: Cambridge University Press; 2011:34-47.
2. Piepgras U, Rieger P. Thalamic bleeding: diagnosis, course and prognosis. Neuroradiology 1981;22:85-91.
3. Walshe TM, Davis KR, Fisher CM. Thalamic hemorrhage: a computed tomographic-clinical correlation. Neurology 1977;27:217-22.
4. Weisberg LA. Thalamic hemorrhage: clinical-CT correlations. Neurology 1986;36:1382-6.
5. Jang SH. The role of the corticospinal tract in motor recovery in patients with a stroke: a review. Neurorehabilitation 2009; 24: 285-90.
6. Ward NS, Newton JM, Swayne OB, et al. Motor system activation after subcortical stroke depends on corticospinal system integrity. Brain 2006;129:809-19.
7. Daverat P, Castel JP, Dartigues JF, Orgogozo JM. Death and functional outcome after spontaneous intracerebral hemorrhage. A prospective study of 166 cases using multivariate analysis. Stroke 1991;22:1-6.
8. Jang SH. A review of corticospinal tract location at corona radiata and posterior limb of the internal capsule in human brain. Neurorehabilitation 2009;24:279-83.
9. Mauguiere F, Desmedt JE, Courjon J. Neural generators of N18 and P14 far-field somatosensory evoked potentials studies in patients with lesions of thalamus or thalamo-cortical radiation. Electroencephalogr Clin Neurophysiol 1983;56: 283-93.
10. Shah SD, Kalita J, Misra UK, et al. Prognostic predictors of thalamic hemorrhage. J Clin Neurosci 2005;12:559-61.
11. Steinke W, Sacco RL, Mohr JP, et al. Thalamic stroke. Presentation and prognosis of infarcts and hemorrhages. Arch Neurol 1992;49:703-10.
12. Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensorMRI. J Magn Reson B 1996;111:209-19.
13. Mori S, Crain BJ, Chacko VP, van Zijl PC. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 1999;45:265-9.
14. Puig J, Pedraza S, Blasco G, et al.Wallerian degeneration in the corticospinal tract evaluated by diffusion tensor imaging correlates with motor deficit 30 days after middle cerebral artery ischemic stroke. AJNR Am J Neuroradiol 2010;31:1324-30.
15. Cho SH, Kim SH, Choi BY, et al. Motor outcome according to diffusion tensor tractography findings in the early stage of intracerebral hemorrhage. Neurosci Lett 2007;421:142-6.
16. Jang SH, Ahn SH, Sakong J, et al. Comparison of TMS and DTT for predicting motor outcome in intracerebral hemorrhage. J Neurol Sci 2010;290:107-11.
17. Kwak SY, Son SM, Choi BY, et al. Prognostic factors for motor outcome in patients with compressed corticospinal tract by intracerebral hematoma. Neurorehabilitation 2011;29: 85-90.
18. Yoshioka H, Horikoshi T, Aoki S, et al. Diffusion tensor tractography predicts motor functional outcome in patients with spontaneous intracerebral hemorrhage. Neurosurgery 2008;62:97-103.
19. Misra UK, Kalita J. Evoked potential studies in thalamic hemorrhage. Clin Neurol Neurosurg. 1996;98:291-8.
20. Demeurisse G, Demol O, Robaye E. Motor evaluation in vascular hemiplegia. Eur Neurol 1980;19:382-9.
21. Brunnstrom S. Motor testing procedures in hemiplegia: based on sequential recovery stages. Phys Ther 1996;46:357.
22. Fujii Y, Nakada T. Cortical reorganization in patients with subcortical hemiparesis: neural mechanisms of functional recovery and prognostic implication. J Neurosurg 2003;98:64-73.
23. Cunha IT, Lim PA, Henson H, et al. Performance-based gait tests for acute stroke patients. Am J Phys Med Rehabil 2002;81:848-56.
24. Kim DG, Ahn YH, Byun WM, et al. Degeneration speed of corticospinal tract in patients with cerebral infarct. Neurorehabilitation 2007;22:273-7.
25. Kothari RU, Brott TG, Broderick JP, et al. The ABCs of measuring intracerebral hemorrhage volumes. Stroke 1996;27:1304-5.
26. Alexander AL, Lee JE, Lazar M, Field AS. Diffusion tensor imaging of the brain. Neurotherapeutics 2007;4:316-29.
27. Hong JH, Bai DS, Jeong JY, et al. Injury of the spino-thalamocortical pathway is necessary for central post-stroke pain. Eur Neurol 2010;64:163-8.
28. Nelles M, Gieseke J, Flacke S, et al. Diffusion tensor pyramidal tractography in patients with anterior choroidal artery infarcts. AJNR Am J Neuroradiol 2008;29:488-93.
29. Cho SH, Kim DG, Kim DS, et al.Motor outcome according to the integrity of the corticospinal tract determined by diffusion tensor tractography in the early stage of corona radiate infarct. Neurosci Lett 2007;26:123-7.
30. Jang SH, Bai D, Son SM, et al. Motor outcome prediction using diffusion tensor tractography in pontine infarct. Ann Neurol 2008;64:460-5.
31. Konishi J, Yamada K, Kizu O, et al. MR tractography for the evaluation of functional recovery from lenticulostriate infarcts. Neurology 2005;64:108-13.
32. Reid JM,GubitzGJ, DaiD, et al. Predicting functional outcome after stroke by modeling baseline clinical and CT variables. Age Ageing 2010;39:360-6.
33. Koyama T, Tsuji M, Miyake H, et al. Motor outcome for patients with acute intracerebral hemorrhage predicted using diffusion tensor imaging: an application of ordinal logistic modeling. J Stroke Cerebrovasc Dis 2012;21:704-11.
34. Koyama T, TsujiM, Nishimura H, et al. Diffusion tensor imaging for intracerebral hemorrhage outcome prediction: comparison using data from the corona radiate/internal capsule and the cerebral peduncle. J Stroke Cerebrovasc Dis 2011. [Epub ahead of print].
35. Kusano Y, Seguchi T,Horiuchi T, et al. Prediction of functional outcome in acute cerebral hemorrhage using diffusion tensor imaging at 3T: a prospective study. AJNR Am J Neuroradiol 2009;30:1561-5.
36. Kawahara N, Sato K, Muraki M, et al. CT classification of small thalamic hemorrhages and their clinical implications.Neurology 1986;36:165-72.