Basal Ganglia versus Peripheral Infarcts: Predictive Value of Early Fiber Alterations

References

1. 1.↵
   1. Roger VL,
   2. Go AS,
   3. Lloyd-Jones DM, et al

   ; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics–2012 update: a report from the American Heart Association. Circulation 2012;125:e2–20 doi:10.1161/CIR.0b013e31823ac046 pmid:22179539

   FREE Full Text
2. 2.↵
   1. Hendricks HT,
   2. van Limbeek J,
   3. Geurts AC, et al

   . Motor recovery after stroke: a systematic review of the literature. Arch Phys Med Rehabil 2002;83:1629–37 doi:10.1053/apmr.2002.35473 pmid:12422337

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Prabhakaran S,
   2. Zarahn E,
   3. Riley C, et al

   . Inter-individual variability in the capacity for motor recovery after ischemic stroke. Neurorehabil Neural Repair 2008;22:64–71 doi:10.1177/1545968307305302 pmid:17687024

   CrossRefPubMedWeb of Science
4. 4.↵
   1. Bach-y-Rita P,
   2. Bach-y-Rita EW

   . Biological and psychosocial factors in recovery from brain damage in humans. Can J Psychol 1990;44:148–65 doi:10.1037/h0084247 pmid:2166615

   CrossRefPubMed
5. 5.↵
   1. Puig J,
   2. Pedraza S,
   3. 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;32:857–63 doi:10.3174/ajnr.A2400 pmid:21474629

   Abstract/FREE Full Text
6. 6.↵
   1. Shelton FD,
   2. Volpe BT,
   3. Reding M

   . Motor impairment as a predictor of functional recovery and guide to rehabilitation treatment after stroke. Neurorehabil Neural Repair 2001;15:229–37 doi:10.1177/154596830101500311 pmid:11944745

   CrossRefPubMedWeb of Science
7. 7.↵
   1. Feys H,
   2. Hetebrij J,
   3. Wilms G, et al

   . Predicting arm recovery following stroke: value of site of lesion. Acta Neurol Scand 2000;102:371–77 doi:10.1034/j.1600-0404.2000.102006371.x pmid:11125752

   CrossRefPubMedWeb of Science
8. 8.↵
   1. Kwakkel G,
   2. Kollen BJ,
   3. van der Grond J, et al

   . Probability of regaining dexterity in the flaccid upper limb: impact of severity of paresis and time since onset in acute stroke. Stroke 2003;34:2181–86 doi:10.1161/01.STR.0000087172.16305.CD pmid:12907818

   Abstract/FREE Full Text
9. 9.↵
   1. Chen CL,
   2. Tang FT,
   3. Chen HC, et al

   . Brain lesion size and location: effects on motor recovery and functional outcome in stroke patients. Arch Phys Med Rehabil 2000;81:447–52 doi:10.1053/mr.2000.3837 pmid:10768534

   CrossRefPubMedWeb of Science
10. 10.↵
    1. Stinear CM,
    2. Byblow WD,
    3. Ackerley SJ, et al

    . Proportional motor recovery after stroke: implications for trial design. Stroke 2017;48:795–98 doi:10.1161/STROKEAHA.116.016020 pmid:28143920

    Abstract/FREE Full Text
11. 11.↵
    1. Smith MC,
    2. Byblow WD,
    3. Barber PA, et al

    . Proportional recovery from lower limb motor impairment after stroke. Stroke 2017;48:1400–03 doi:10.1161/STROKEAHA.116.016478 pmid:28341754

    Abstract/FREE Full Text
12. 12.↵
    1. Nijland RH,
    2. van Wegen EE,
    3. Harmeling-van der Wel BC, et al

    ; Early Prediction of Functional Outcome After Stroke Investigators. Accuracy of physical therapists' early predictions of upper-limb function in hospital stroke units: the EPOS Study. Phys Ther 2013;93:460–69 doi:10.2522/ptj.20120112 pmid:23139424

    Abstract/FREE Full Text
13. 13.↵
    1. Zhu LL,
    2. Lindenberg R,
    3. Alexander MP, et al

    . Lesion load of the corticospinal tract predicts motor impairment in chronic stroke. Stroke 2010;41:910–15 doi:10.1161/STROKEAHA.109.577023 pmid:20378864

    Abstract/FREE Full Text
14. 14.↵
    1. Lindenberg R,
    2. Renga V,
    3. Zhu LL, et al

    . Structural integrity of corticospinal motor fibers predicts motor impairment in chronic stroke. Neurology 2010;74:280–87 doi:10.1212/WNL.0b013e3181ccc6d9 pmid:20101033

    Abstract/FREE Full Text
15. 15.↵
    1. Nucifora PG,
    2. Verma R,
    3. Lee SK, et al

    . Diffusion-tensor MR imaging and tractography: exploring brain microstructure and connectivity. Radiology 2007;245:367–84 doi:10.1148/radiol.2452060445 pmid:17940300

    CrossRefPubMedWeb of Science
16. 16.↵
    1. Puig J,
    2. Blasco G,
    3. Schlaug G, et al

    . Diffusion tensor imaging as a prognostic biomarker for motor recovery and rehabilitation after stroke. Neuroradiology 2017;59:343–51 doi:10.1007/s00234-017-1816-0 pmid:28293701

    CrossRefPubMed
17. 17.↵
    1. Thomalla G,
    2. Glauche V,
    3. Koch MA, et al

    . Diffusion tensor imaging detects early Wallerian degeneration of the pyramidal tract after ischemic stroke. Neuroimage 2004;22:1767–74 doi:10.1016/j.neuroimage.2004.03.041 pmid:15275932

    CrossRefPubMedWeb of Science
18. 18.↵
    1. Puig J,
    2. Pedraza S,
    3. 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 doi:10.3174/ajnr.A2038 pmid:20299434

    Abstract/FREE Full Text
19. 19.↵
    1. Rimmele D,
    2. Frey BM,
    3. Cheng B, et al

    Leander Rimmele D, Frey BM, Cheng B, et al. Association of extrapyramidal tracts' integrity with performance in fine motor skills after stroke. Stroke 2018;49:2928–32 doi:10.1161/STROKEAHA.118.022706 pmid:30571408

    CrossRefPubMed
20. 20.↵
    1. Lin DJ,
    2. Cloutier AM,
    3. Erler KS, et al

    . Corticospinal tract injury estimated from acute stroke imaging predicts upper extremity motor recovery after stroke. Stroke 2019;50:3569–77 doi:10.1161/STROKEAHA.119.025898 pmid:31648631

    CrossRefPubMed
21. 21.↵
    1. Albers GW,
    2. Marks MP,
    3. Kemp S, et al

    ; DEFUSE 3 Investigators. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med 2018;378:708–18 doi:10.1056/NEJMoa1713973 pmid:29364767

    CrossRefPubMed
22. 22.↵
    1. Nogueira RG,
    2. Jadhav AP,
    3. Haussen DC, et al

    ; DAWN Trial Investigators. Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N Engl J Med 2018;378:11–21 doi:10.1056/NEJMoa1706442 pmid:29129157

    CrossRefPubMed
23. 23.↵
    1. Zaidat OO,
    2. Yoo AJ,
    3. Khatri P, et al

    ; STIR Thrombolysis in Cerebral Infarction (TICI) Task Force. Recommendations on angiographic revascularization grading standards for acute ischemic stroke: a consensus statement. Stroke 2013;44:2650–63 doi:10.1161/STROKEAHA.113.001972 pmid:23920012

    FREE Full Text
24. 24.↵
    1. Barber PA,
    2. Hill MD,
    3. Eliasziw M, et al

    ; ASPECTS Study Group. Imaging of the brain in acute ischaemic stroke: comparison of computed tomography and magnetic resonance diffusion-weighted imaging. J Neurol Neurosurg Psychiatry 2005;76:1528–33 doi:10.1136/jnnp.2004.059261 pmid:16227545

    Abstract/FREE Full Text
25. 25.↵
    1. Fahed R,
    2. Lecler A,
    3. Sabben C, et al

    . DWI-ASPECTS (Diffusion-Weighted Imaging-Alberta Stroke Program Early Computed Tomography Scores) and DWI-FLAIR (Diffusion-Weighted Imaging-Fluid Attenuated Inversion Recovery) mismatch in thrombectomy candidates: an intrarater and interrater agreement study. Stroke 2018;49:223–27 doi:10.1161/STROKEAHA.117.019508 pmid:29191851

    Abstract/FREE Full Text
26. 26.↵
    1. Jenkinson M,
    2. Beckmann CF,
    3. Behrens TE, et al

    . FSL. Neuroimage 2012;62:782–90 doi:10.1016/j.neuroimage.2011.09.015 pmid:21979382

    CrossRefPubMedWeb of Science
27. 27.↵
    1. Byblow WD,
    2. Stinear CM,
    3. Barber PA, et al

    . Proportional recovery after stroke depends on corticomotor integrity. Ann Neurol 2015;78:848–59 doi:10.1002/ana.24472 pmid:26150318

    CrossRefPubMed
28. 28.↵
    1. Puig J,
    2. Blasco G,
    3. Daunis IE, et al

    . Decreased corticospinal tract fractional anisotropy predicts long-term motor outcome after stroke. Stroke 2013;44:2016–18 doi:10.1161/STROKEAHA.111.000382 pmid:23652266

    Abstract/FREE Full Text
29. 29.↵
    1. Stinear CM,
    2. Barber PA,
    3. Petoe M, et al

    . The PREP algorithm predicts potential for upper limb recovery after stroke. Brain 2012;135:2527–35 doi:10.1093/brain/aws146 pmid:22689909

    CrossRefPubMedWeb of Science
30. 30.↵
    1. Kumar P,
    2. Kathuria P,
    3. Nair P, et al

    . Prediction of upper limb motor recovery after subacute ischemic stroke using diffusion tensor imaging: a systematic review and meta-analysis. J Stroke 2016;18:50–59 doi:10.5853/jos.2015.01186 pmid:26846758

    CrossRefPubMed
31. 31.↵
    1. Lindenberg R,
    2. Zhu LL,
    3. Ruber T, et al

    . Predicting functional motor potential in chronic stroke patients using diffusion tensor imaging. Hum Brain Mapp 2012;33:1040–51 doi:10.1002/hbm.21266 pmid:21538700

    CrossRefPubMedWeb of Science
32. 32.↵
    1. Stinear CM,
    2. Barber PA,
    3. Smale PR, et al

    . Functional potential in chronic stroke patients depends on corticospinal tract integrity. Brain 2007;130:170–80 doi:10.1093/brain/awl333 pmid:17148468

    CrossRefPubMedWeb of Science
33. 33.↵
    1. Schaechter JD,
    2. Fricker ZP,
    3. Perdue KL, et al

    . Microstructural status of ipsilesional and contralesional corticospinal tract correlates with motor skill in chronic stroke patients. Hum Brain Mapp 2009;30:3461–74 doi:10.1002/hbm.20770 pmid:19370766

    CrossRefPubMedWeb of Science
34. 34.↵
    1. Doughty C,
    2. Wang J,
    3. Feng W, et al

    . Detection and predictive value of fractional anisotropy changes of the corticospinal tract in the acute phase of a stroke. Stroke 2016;47:1520–26 doi:10.1161/STROKEAHA.115.012088 pmid:27217504

    Abstract/FREE Full Text
35. 35.↵
    1. Werring DJ,
    2. Toosy AT,
    3. Clark CA, et al

    . Diffusion tensor imaging can detect and quantify corticospinal tract degeneration after stroke. J Neurol Neurosurg Psychiatry 2000;69:269–72 doi:10.1136/jnnp.69.2.269 pmid:10896709

    Abstract/FREE Full Text
36. 36.↵
    1. Moller M,
    2. Frandsen J,
    3. Andersen G, et al

    . Dynamic changes in corticospinal tracts after stroke detected by fibretracking. J Neurol Neurosurg Psychiatry 2007;78:587–92 doi:10.1136/jnnp.2006.100248 pmid:17210628

    Abstract/FREE Full Text
37. 37.↵
    1. Radlinska B,
    2. Ghinani S,
    3. Leppert IR, et al

    . Diffusion tensor imaging, permanent pyramidal tract damage, and outcome in subcortical stroke. Neurology 2010;75:1048–54 doi:10.1212/WNL.0b013e3181f39aa0 pmid:20855848

    Abstract/FREE Full Text
38. 38.↵
    1. Watanabe T,
    2. Honda Y,
    3. Fujii Y, et al

    . Three-dimensional anisotropy contrast magnetic resonance axonography to predict the prognosis for motor function in patients suffering from stroke. J Neurosurg 2001;94:955–60 doi:10.3171/jns.2001.94.6.0955 pmid:11409525

    CrossRefPubMedWeb of Science
39. 39.↵
    1. Kaesmacher J,
    2. Huber T,
    3. Lehm M, et al

    . Isolated striatocapsular infarcts after endovascular treatment of acute proximal middle cerebral artery occlusions: prevalence, enabling factors, and clinical outcome. Front Neurol 2017;8:272 doi:10.3389/fneur.2017.00272 pmid:28674513

    CrossRefPubMed