OBJECTIVE: To determine if diffusion tensor imaging (DTI) metrics of the pyramidal tracts correlate with motor outcome in infants presenting with motor dysfunction. METHODS: DTI tractography of the pyramidal tracts was performed in 21 patients with clinical motor dysfunction who were less than 30 months of age and in 22 age-matched controls. We plotted tract-specific DTI metrics (fractional anisotropy, parallel diffusivity, transverse diffusivity, and mean diffusivity) against age for the controls and generated normative curves. For each patient, we calculated the deviation from the normative curves. Patients returned for a neurodevelopmental evaluation when they were over 36 months of age, and motor outcome measures were performed. We analyzed the association between normative deviation in DTI metrics and motor outcome measures using linear and logistic regression models. RESULTS: Normative deviation in fractional anisotropy and transverse diffusivity were significantly correlated with all measures of motor outcome. Lower fractional anisotropy and higher transverse diffusivity compared to controls were associated with worse motor outcome. Furthermore, children who were eventually diagnosed with permanent motor dysfunction had lower fractional anisotropy and higher transverse diffusivity compared with those whose motor dysfunction normalized. CONCLUSIONS: Diffusion tensor imaging metrics correlate with motor outcome in infants presenting with motor dysfunction. The identification of a quantitative imaging marker that can be applied to infants at the time of clinical presentation has implications for the evaluation of early motor dysfunction.
OBJECTIVE: To determine if diffusion tensor imaging (DTI) metrics of the pyramidal tracts correlate with motor outcome in infants presenting with motor dysfunction. METHODS: DTI tractography of the pyramidal tracts was performed in 21 patients with clinical motor dysfunction who were less than 30 months of age and in 22 age-matched controls. We plotted tract-specific DTI metrics (fractional anisotropy, parallel diffusivity, transverse diffusivity, and mean diffusivity) against age for the controls and generated normative curves. For each patient, we calculated the deviation from the normative curves. Patients returned for a neurodevelopmental evaluation when they were over 36 months of age, and motor outcome measures were performed. We analyzed the association between normative deviation in DTI metrics and motor outcome measures using linear and logistic regression models. RESULTS: Normative deviation in fractional anisotropy and transverse diffusivity were significantly correlated with all measures of motor outcome. Lower fractional anisotropy and higher transverse diffusivity compared to controls were associated with worse motor outcome. Furthermore, children who were eventually diagnosed with permanent motor dysfunction had lower fractional anisotropy and higher transverse diffusivity compared with those whose motor dysfunction normalized. CONCLUSIONS: Diffusion tensor imaging metrics correlate with motor outcome in infants presenting with motor dysfunction. The identification of a quantitative imaging marker that can be applied to infants at the time of clinical presentation has implications for the evaluation of early motor dysfunction.
Authors: Andreia V Faria; Alexander Hoon; Elaine Stashinko; Xin Li; Hangyi Jiang; Ameneh Mashayekh; Kazi Akhter; John Hsu; Kenichi Oishi; Jiangyang Zhang; Michael I Miller; Peter C M van Zijl; Susumu Mori Journal: Neuroimage Date: 2010-11-05 Impact factor: 6.556
Authors: Josep Puig; S Pedraza; G Blasco; J Daunis-I-Estadella; A Prats; F Prados; I Boada; M Castellanos; J Sánchez-González; S Remollo; G Laguillo; A M Quiles; E Gómez; J Serena Journal: AJNR Am J Neuroradiol Date: 2010-03-18 Impact factor: 3.825
Authors: Elysia Adams; Vann Chau; Kenneth J Poskitt; Ruth E Grunau; Anne Synnes; Steven P Miller Journal: J Pediatr Date: 2010-03-15 Impact factor: 4.406
Authors: Gillian England-Mason; Melody N Grohs; Jess E Reynolds; Amy MacDonald; David Kinniburgh; Jiaying Liu; Jonathan W Martin; Catherine Lebel; Deborah Dewey Journal: Environ Res Date: 2019-12-26 Impact factor: 6.498
Authors: Michael S Oldham; John W VanMeter; Kyle F Shattuck; Stephen D Cederbaum; Andrea L Gropman Journal: Pediatr Neurol Date: 2010-01 Impact factor: 3.372
Authors: Julia B Pitcher; Alysha M Riley; Sebastian H Doeltgen; Lisa Kurylowicz; John C Rothwell; Suzanne M McAllister; Ashleigh E Smith; Angela Clow; David J Kennaway; Michael C Ridding Journal: J Neurosci Date: 2012-11-14 Impact factor: 6.167
Authors: Jiangyang Zhang; Melina Jones; Cynthia A DeBoy; Daniel S Reich; Jonathan A D Farrell; Paul N Hoffman; John W Griffin; Kazim A Sheikh; Michael I Miller; Susumu Mori; Peter A Calabresi Journal: J Neurosci Date: 2009-03-11 Impact factor: 6.167
Authors: Julia B Pitcher; Luke A Schneider; Nicholas R Burns; John L Drysdale; Ryan D Higgins; Michael C Ridding; Theodore J Nettelbeck; Ross R Haslam; Jeffrey S Robinson Journal: J Physiol Date: 2012-09-10 Impact factor: 5.182