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A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
Published on: March 17, 2016
White matter integrity and processing speed in sickle cell anemia.
Hanne Stotesbury1, Fenella J Kirkham2, Melanie Kölbel1
1From Developmental Neurosciences (H.S., F.J.K., M.K., P.B., J.D.C., S. Sahota, S. Sakaria, C.A.C., J.M.K.), UCL Great Ormond Street Institute of Child Health, London; University Hospital Southampton NHS Foundation Trust (F.J.K.); Clinical and Experimental Sciences (F.J.K.), University of Southampton; Department of Radiology (D.E.S.), Great Ormond Street Hospital NHS Foundation Trust, London; Department of Haematology and Evelina Children's Hospital (J.H., R.K.-A., B.I., M.P.), Guy's and St Thomas' NHS Foundation Trust, London; King's College Hospital NHS Foundation Trust (S.C., D.C.R., M.A.), London; North Middlesex University Hospital NHS Foundation Trust (O.W.), London; and Department of Haematology (M.L.), Imperial College Healthcare NHS Foundation Trust, London, UK.
Sickle cell anemia patients exhibit slower processing speed, linked to white matter integrity changes. These deficits may impact other cognitive functions and worsen with age, independent of silent cerebral infarction.
Area of Science:
- Neurology
- Hematology
- Neuroimaging
Background:
- Sickle cell anemia (SCA) is a genetic blood disorder.
- Cognitive impairment, particularly slower processing speed, is a known complication of SCA.
- The underlying neurobiological mechanisms, especially concerning white matter integrity, require further investigation.
Purpose of the Study:
- To investigate the relationship between white matter integrity and processing speed in individuals with SCA.
- To determine if neuroimaging parameters correlate with cognitive deficits in SCA patients.
Main Methods:
- Retrospective cross-sectional study involving 37 SCA patients with silent cerebral infarction, 46 SCA patients with normal MRI, and 32 sibling controls.
- Cognitive assessment using Wechsler scales.
- 3-tesla MRI with diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) for white matter analysis.
Main Results:
- Patients with SCA demonstrated significantly lower processing speed index (PSI) compared to controls.
- PSI deficits were observed in SCA patients regardless of silent cerebral infarction presence.
- Reduced processing speed correlated with microstructural white matter changes detected by DTI and NODDI parameters.
Conclusions:
- Processing speed is a vulnerable cognitive domain in SCA, potentially affecting other cognitive functions.
- Deficits in processing speed are associated with alterations in normal-appearing white matter integrity.
- Findings highlight the importance of assessing and understanding white matter changes in managing cognitive health in SCA.
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