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Using diffusion tensor imaging to identify corticospinal tract projection patterns in children with unilateral spastic cerebral palsy.

Publication ,  Journal Article
Kuo, H-C; Ferre, CL; Carmel, JB; Gowatsky, JL; Stanford, AD; Rowny, SB; Lisanby, SH; Gordon, AM; Friel, KM
Published in: Dev Med Child Neurol
January 2017

AIM: To determine whether diffusion tensor imaging (DTI) can be an independent assessment for identifying the corticospinal tract (CST) projecting from the more-affected motor cortex in children with unilateral spastic cerebral palsy (CP). METHOD: Twenty children with unilateral spastic CP participated in this study (16 males, four females; mean age 9y 2mo [standard deviation (SD) 3y 2mo], Manual Ability Classification System [MACS] level I-III). We used DTI tractography to reconstruct the CST projecting from the more-affected motor cortex. We mapped the motor representation of the more-affected hand by stimulating the more- and the less-affected motor cortex measured with single-pulse transcranial magnetic stimulation (TMS). We then verified the presence or absence of the contralateral CST by comparing the TMS map and DTI tractography. Fisher's exact test was used to determine the association between findings of TMS and DTI. RESULTS: DTI tractography successfully identified the CST controlling the more-affected hand (sensitivity=82%, specificity=78%). INTERPRETATION: Contralateral CST projecting from the lesioned motor cortex assessed by DTI is consistent with findings of TMS mapping. Since CST connectivity may be predictive of response to certain upper extremity treatments, DTI-identified CST connectivity may potentially be valuable for determining such connectivity where TMS is unavailable or inadvisable for children with seizures.

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Published In

Dev Med Child Neurol

DOI

EISSN

1469-8749

Publication Date

January 2017

Volume

59

Issue

1

Start / End Page

65 / 71

Location

England

Related Subject Headings

  • Transcranial Magnetic Stimulation
  • Pyramidal Tracts
  • Pediatrics
  • Male
  • Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Functional Laterality
  • Female
  • Electromyography
 

Citation

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Kuo, H.-C., Ferre, C. L., Carmel, J. B., Gowatsky, J. L., Stanford, A. D., Rowny, S. B., … Friel, K. M. (2017). Using diffusion tensor imaging to identify corticospinal tract projection patterns in children with unilateral spastic cerebral palsy. Dev Med Child Neurol, 59(1), 65–71. https://doi.org/10.1111/dmcn.13192
Kuo, Hsing-Ching, Claudio L. Ferre, Jason B. Carmel, Jaimie L. Gowatsky, Arielle D. Stanford, Stefan B. Rowny, Sarah H. Lisanby, Andrew M. Gordon, and Kathleen M. Friel. “Using diffusion tensor imaging to identify corticospinal tract projection patterns in children with unilateral spastic cerebral palsy.Dev Med Child Neurol 59, no. 1 (January 2017): 65–71. https://doi.org/10.1111/dmcn.13192.
Kuo H-C, Ferre CL, Carmel JB, Gowatsky JL, Stanford AD, Rowny SB, et al. Using diffusion tensor imaging to identify corticospinal tract projection patterns in children with unilateral spastic cerebral palsy. Dev Med Child Neurol. 2017 Jan;59(1):65–71.
Kuo, Hsing-Ching, et al. “Using diffusion tensor imaging to identify corticospinal tract projection patterns in children with unilateral spastic cerebral palsy.Dev Med Child Neurol, vol. 59, no. 1, Jan. 2017, pp. 65–71. Pubmed, doi:10.1111/dmcn.13192.
Kuo H-C, Ferre CL, Carmel JB, Gowatsky JL, Stanford AD, Rowny SB, Lisanby SH, Gordon AM, Friel KM. Using diffusion tensor imaging to identify corticospinal tract projection patterns in children with unilateral spastic cerebral palsy. Dev Med Child Neurol. 2017 Jan;59(1):65–71.
Journal cover image

Published In

Dev Med Child Neurol

DOI

EISSN

1469-8749

Publication Date

January 2017

Volume

59

Issue

1

Start / End Page

65 / 71

Location

England

Related Subject Headings

  • Transcranial Magnetic Stimulation
  • Pyramidal Tracts
  • Pediatrics
  • Male
  • Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Functional Laterality
  • Female
  • Electromyography