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Details

Autor(en) / Beteiligte
Titel
White matter integrity and processing speed in sickle cell anemia
Ist Teil von
  • Neurology, 2018-06, Vol.90 (23), p.e2042
Ort / Verlag
United States
Erscheinungsjahr
2018
Quelle
MEDLINE
Beschreibungen/Notizen
  • The purpose of this retrospective cross-sectional study was to investigate whether changes in white matter integrity are related to slower processing speed in sickle cell anemia. Thirty-seven patients with silent cerebral infarction, 46 patients with normal MRI, and 32 sibling controls (age range 8-37 years) underwent cognitive assessment using the Wechsler scales and 3-tesla MRI. Tract-based spatial statistics analyses of diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) parameters were performed. Processing speed index (PSI) was lower in patients than controls by 9.34 points (95% confidence interval: 4.635-14.855, = 0.0003). Full Scale IQ was lower by 4.14 scaled points (95% confidence interval: -1.066 to 9.551, = 0.1), but this difference was abolished when PSI was included as a covariate ( = 0.18). There were no differences in cognition between patients with and without silent cerebral infarction, and both groups had lower PSI than controls (both < 0.001). In patients, arterial oxygen content, socioeconomic status, age, and male sex were identified as predictors of PSI, and correlations were found between PSI and DTI scalars (fractional anisotropy = 0.614, < 0.00001; = -0.457, < 0.00001; mean diffusivity = -0.341, = 0.0016; radial diffusivity = -0.457, < 0.00001) and NODDI parameters (intracellular volume fraction = 0.364, = 0.0007) in widespread regions. Our results extend previous reports of impairment that is independent of presence of infarction and may worsen with age. We identify processing speed as a vulnerable domain, with deficits potentially mediating difficulties across other domains, and provide evidence that reduced processing speed is related to the integrity of normal-appearing white matter using microstructure parameters from DTI and NODDI.

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