title: Assessment of corticospinal tract (CST) damage in acute stroke patients: comparison of tract-specific analysis versus segmentation of a CST template.
abstract: OBJECTIVE
  To compare two techniques to assess corticospinal tract (CST) damage in stroke patients: tract-specific analysis by probabilistic tractography and segmentation using a CST template.
  
  
  METHODS
  We extracted fractional anisotropy (FA) values, the FA ratio, and mean diffusivity (MD) in 18 stroke patients and 21 healthy volunteers matched for age and sex. We compared the two methods in order to determine their ability to detect 1) differences between diffusion tensor imaging (DTI) parameters of healthy volunteers and stroke patients, 2) the correlation between DTI parameters and clinical scores, and 3) the correlation between DTI parameters and blood oxygen level-dependent (BOLD) signals in a fist-closure task.
  
  
  RESULTS
  FA values were higher with the tractography approach than with the segmentation method, but differences between the ipsilesional CST and the homologous region in healthy subjects were detected using both methods. In patients, clinical scores were significantly correlated with FA values and FA ratios with both methods. The BOLD signal was positively correlated with FA values for CST with the segmentation but not with the tractography approach.
  
  
  CONCLUSIONS
  CST damage in stroke patients can be assessed by either probabilistic tractography or segmentation of a CST template. Although each method has advantages and limitations, both are sensitive enough to detect differences among stroke patients and identify specific correlations with clinical scores.
authors.affiliation: UPMC Paris 6, Univ 75006, Paris, France.
authors.forename: Patricia
authors.initials: P
authors.lastname: Vargas
authors.forename: Marie
authors.initials: M
authors.lastname: Gaudron
authors.forename: Romain
authors.initials: R
authors.lastname: Valabrègue
authors.forename: Eric
authors.initials: E
authors.lastname: Bertasi
authors.forename: Frédéric
authors.initials: F
authors.lastname: Humbert
authors.forename: Stéphane
authors.initials: S
authors.lastname: Lehéricy
authors.forename: Yves
authors.initials: Y
authors.lastname: Samson
authors.forename: Charlotte
authors.initials: C
authors.lastname: Rosso
mesh_terms: D000328:Adult; D000368:Aged; D001931:Brain Mapping / Q000379:methods; D002340:Carotid Artery Diseases / Q000097:blood / Q000175:diagnosis*; D002544:Cerebral Infarction / Q000097:blood / Q000175:diagnosis*; D003937:Diagnosis, Differential; D056324:Diffusion Tensor Imaging / Q000379:methods*; D004292:Dominance, Cerebral / Q000502:physiology; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009043:Motor Activity / Q000502:physiology; D009460:Neurologic Examination; D010100:Oxygen / Q000097:blood*; D011712:Pyramidal Tracts / Q000473:pathology*; D012016:Reference Values; D012680:Sensitivity and Specificity; D013223:Statistics as Topic
chemical_list: D010100:Oxygen