Corticospinal tract diffusion abnormalities early after stroke predict motor outcome

Neurorehabilitation and Neural Repair

Volumn 28, Issue 8, 2014, Pages 751-760

  Groisser, Benjamin N ^a,b   Copen, William A ^b   Singhal, Aneesh B ^b   Hirai, Kelsi K ^a,b   Schaechter, Judith D ^a,b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

corticospinal tract (CST); dexterity; diffusion tensor imaging (DTI); motor impairment; motor recovery; prediction; prognosis; strength; stroke; upper limb

Indexed keywords

ADULT; AGED; ARM MOVEMENT; ARTICLE; BRAIN ISCHEMIA; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; CORTICOSPINAL TRACT INJURY; DIFFUSION TENSOR IMAGING; DISEASE SEVERITY; EXPLORATORY RESEARCH; FEMALE; FRACTIONAL ANISOTROPY; GRIP STRENGTH; HUMAN; MALE; MOTOR DYSFUNCTION; MOTOR PERFORMANCE; NERVOUS SYSTEM INJURY; PROGNOSIS; STROKE PATIENT; ANISOTROPY; ARM; CEREBROVASCULAR ACCIDENT; HAND STRENGTH; MIDDLE AGED; MOVEMENT (PHYSIOLOGY); PATHOLOGY; PATHOPHYSIOLOGY; PYRAMIDAL TRACT; YOUNG ADULT;

ADULT; AGED; ANISOTROPY; DIFFUSION TENSOR IMAGING; FEMALE; HAND STRENGTH; HUMANS; MALE; MIDDLE AGED; MOVEMENT; PROGNOSIS; PYRAMIDAL TRACTS; STROKE; UPPER EXTREMITY; YOUNG ADULT;

EID: 84905176104     PISSN: 15459683     EISSN: 15526844     Source Type: Journal    
DOI: 10.1177/1545968314521896     Document Type: Article

References (44)

1. Duncan PW, Goldstein LB, Matcher D, Divine GW, Feussner J. Measurement of motor recovery after stroke: outcome assessment and sample size requirements. Stroke. 1992 ; 23: 1084-1089
2. Nakayama H, Hendrik SJ, Raaschou HO, Olsen TS. Recovery of upper extremity function in stroke patients: the Copenhagen stroke study. Arch Phys Med Rehabil. 1994 ; 75: 394-399
3. Feys H, De Weerdt W, Nuyens G, van de Winckel A, Selz B, Kiekens C. Predicting motor recovery of the upper limb after stroke rehabilitation: value of a clinical examination. Physiother Res Int. 2000 ; 5: 1-18
4. Wade DT, Langton-Hewer R, Wood VA, Skilbeck CE, Ismail HM. The hemiplegic arm after stroke: measurement and recovery. J Neurol Neurosurg Psychiatry. 1983 ; 46: 521-524
5. Prabhakaran S, Zarahn E, Riley C, et al. Inter-individual variability in the capacity for motor recovery after ischemic stroke. Neurorehabil Neural Repair. 2008 ; 22: 64-71
6. Binkofski F, Seitz RJ, Hacklander T, Pawelec D, Mau J, Freund HJ. Recovery of motor functions following hemiparetic stroke: a clinical and magnetic resonance-morphometric study. Cerebrovasc Dis. 2001 ; 11: 273-281
7. Rapisarda G, Bastings E, de Noordhout AM, Pennisi G, Delwaide PJ. Can motor recovery in stroke patients be predicted by early transcranial magnetic stimulation?. Stroke. 1996 ; 27: 2191-2196
8. Escudero JV, Sancho J, Bautista D, Escudero M, Lopez-Trigo J. Prognostic value of motor evoked potential obtained by transcranial magnetic brain stimulation in motor function recovery in patients with acute ischemic stroke. Stroke. 1998 ; 29: 1854-1859
9. Heald A, Bates D, Cartlidge NE, French JM, Miller S. Longitudinal study of central motor conduction time following stroke: 2. Central motor conduction measured within 72 h after stroke as a predictor of functional outcome at 12 months. Brain. 1993 ; 116: 1371-1385
10. Turton A, Wroe S, Trepte N, Fraser C, Lemon RN. Contralateral and ipsilateral EMG responses during recovery of arm and hand function after stroke. Electroencephalogr Clin Neurophysiol. 1996 ; 101: 316-328
11. Kunimatsu A, Aoki S, Masutani Y, Abe O, Mori H, Ohtomo K. Three-dimensional white matter tractography by diffusion tensor imaging in ischaemic stroke involving the corticospinal tract. Neuroradiology. 2003 ; 45: 532-535
12. Yamada K, Ito H, Nakamura H, et al. Stroke patients' evolving symptoms assessed by tractography. J Magn Reson Imaging. 2004 ; 20: 923-929
13. Cho SH, Kim DG, Kim DS, Kim YH, Lee CH, Jang SH. Motor outcome according to the integrity of the corticospinal tract determined by diffusion tensor tractography in the early stage of corona radiata infarct. Neurosci Lett. 2007 ; 426: 123-127
14. Lai C, Zhang SZ, Liu HM, et al. White matter tractography by diffusion tensor imaging plays an important role in prognosis estimation of acute lacunar infarctions. Br J Radiol. 2007 ; 80: 782-789
15. Thomalla G, Glauche V, Koch MA, Beaulieu C, Weiller C, Rother J. Diffusion tensor imaging detects early Wallerian degeneration of the pyramidal tract after ischemic stroke. Neuroimage. 2004 ; 22: 1767-1774
16. Jang SH, Cho SH, Kim YH, et al. Diffusion anisotrophy in the early stages of stroke can predict motor outcome. Restor Neurol Neurosci. 2005 ; 23: 11-17
17. Moller M, Frandsen J, Andersen G, Gjedde A, Vestergaard-Poulsen P, Ostergaard L. Dynamic changes of corticospinal tracts after stroke detected by fibertracking. J Neurol Neurosurg Psychiatry. 2007 ; 78: 587-592
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. Yu C, Zhu C, Zhang Y, et al. A longitudinal diffusion tensor imaging study on Wallerian degeneration of corticospinal tract after motor pathway stroke. Neuroimage. 2009 ; 47: 451-458
20. Radlinska B, Ghinani S, Leppert IR, Minuk J, Pike GB, Thiel A. Diffusion tensor imaging, permanent pyramidal tract damage, and outcome in subcortical stroke. Neurology. 2010 ; 75: 1048-1054
21. Puig J, Pedraza S, Blasco G, et al. Acute damage to the posterior limb of the internal capsule on diffusion tensor tractography as an early imaging predictor of motor outcome after stroke. AJNR Am J Neuroradiol. 2011 ; 32: 857-863
22. Jang SH, Bai D, Son SM, et al. Motor outcome prediction using diffusion tensor tractography in pontine infarct. Ann Neurol. 2008 ; 64: 460-465
23. Basser PJ. Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR Biomed. 1995 ; 8: 333-344
24. Sotak CH. The role of diffusion tensor imaging in the evaluation of ischemic brain injury: a review. NMR Biomed. 2002 ; 15: 561-569
25. Cramer SC, Nelles G, Schaechter JD, Kaplan JD, Finklestein SP. Computerized measurement of motor performance after stroke. Stroke. 1997 ; 28: 2162-2168
26. Mathiowetz V, Weber K, Kashman N, Volland G. Adult norms for the Nine Hole Peg Test of manual dexterity. Occup Ther J Res. 1985 ; 5: 24-37
27. AnderssonJLRJenkinsonMSmithS. Non-linear registration, aka spatial normalisation. FMRIB Technical Report TR07JA2; 2007. http://www.fmrib.ox.ac.uk/analysis/techrep/tr07ja2/tr07ja2.pdf. Published June28, 2007. Approved July4, 2007. Accessed January 30, 2014.
28. Smith SM, Jenkinson M, Woolrich MW, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004 ; 23: S208 - S219
29. FSL. FMRIB Software Library v5.0. http://www.fmrib.ox.ac.uk/fsl.
30. Pfefferbaum A, Sullivan EV, Hedehus M, Lim KO, Adalsteinsson E, Moseley M. Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging. Magn Reson Med. 2000 ; 44: 259-268
31. Stinear CM, Barber PA, Petoe M, Anwar S, Byblow WD. The PREP algorithm predicts potential for upper limb recovery after stroke. Brain. 2012 ; 135: 2527-2535
32. 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: 1324-1330
33. Rajagopalan V, Yue GH, Pioro EP. Brain white matter diffusion tensor metrics from clinical 1.5T MRI distinguish between ALS phenotypes. J Neurol. 2013 ; 260: 2532-2540
34. Napadow V, Sheehan J, Kim J, et al. Brain white matter microstructure is associated with susceptibility to motion-induced nausea. Neurogastroenterol Motil. 2013 ; 25: 448-450
35. Sorensen AG, Wu O, Copen WA, et al. Human acute cerebral ischemia: detection of changes in water diffusion anisotropy by using MR imaging. Radiology. 1999 ; 212: 785-792
36. Bhagat YA, Hussain MS, Stobbe RW, et al. Elevations of diffusion anisotropy are associated with hyper-acute stroke: a serial imaging study. Magn Reson Imaging. 2008 ; 26: 683-693
37. Sakai K, Yamada K, Nagakane Y, Mori S, Nakagawa M, Nishimura T. Diffusion tensor imaging may help the determination of time at onset in cerebral ischaemia. J Neurol Neurosurg Psychiatry. 2009 ; 80: 986-990
38. Song SK, Sun SW, Ju WK, Lin SJ, Cross AH, Neufeld AH. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. Neuroimage. 2003 ; 20: 1714-1722
39. Sun SW, Liang HF, Cross AH, Song SK. Evolving Wallerian degeneration after transient retinal ischemia in mice characterized by diffusion tensor imaging. Neuroimage. 2008 ; 40: 1-10
40. Matsumoto K, Lo EH, Pierce AR, Wei H, Garrido L, Kowall NW. Role of vasogenic edema and tissue cavitation in ischemic evolution on diffusion-weighted imaging: comparison with multiparameter MR and immunohistochemistry. AJNR Am J Neuroradiol. 1995 ; 16: 1107-1115
41. Thomalla G, Glauche V, Weiller C, Rother J. Time course of wallerian degeneration after ischaemic stroke revealed by diffusion tensor imaging. J Neurol Neurosurg Psychiatry. 2005 ; 76: 266-268
42. Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med. 1996 ; 36: 893-906
43. Seghier ML, Ramlackhansingh A, Crinion J, Leff AP, Price CJ. Lesion identification using unified segmentation-normalisation models and fuzzy clustering. Neuroimage. 2008 ; 41: 1253-1266
44. Lin GC, Wang WJ, Kang CC, Wang CM. Multispectral MR images segmentation based on fuzzy knowledge and modified seeded region growing. Magn Reson Imaging. 2012 ; 30: 230-246