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Visual cortex changes in children with sickle cell disease and normal visual acuity: a multimodal magnetic resonance
Renzo Manara1, Alice Dalla Torre2, Marta Lucchetta2
1Neuroradiology, Department of Neurosciences, University of Padova, Padova, Italy.
British Journal of Haematology
|August 14, 2020
Summary
Sickle cell disease (SCD) impacts children's visual cortex development, causing anatomical and functional brain changes. These alterations occur even without retinopathy and may predict future vision problems.
Area of Science:
- Neuroscience
- Ophthalmology
- Pediatrics
Background:
- Sickle cell disease (SCD) commonly affects the visual system, with eye exams recommended for children.
- Previous research has primarily focused on retinal changes, overlooking the visual cortex.
- The impact of SCD on the visual cortex in childhood remains understudied.
Purpose of the Study:
- To investigate multimodal magnetic resonance imaging (MRI) findings in the visual cortex of children with SCD.
- To compare the visual cortex in children with SCD to healthy controls.
- To identify potential anatomical and functional changes associated with SCD in the visual cortex.
Main Methods:
- Multimodal MRI was used to evaluate the visual cortex in 25 children with SCD and 31 controls.
- Ophthalmologic examinations assessed visual acuity and retinal vessel status.
- MR-angiography and Transcranial Doppler were employed to assess cerebral vasculature.
Main Results:
- Children with SCD showed increased posterior pericalcarine cortical thickness compared to controls.
- Altered cortical maturation trajectories were observed in SCD children.
- Decreased connectivity was found within the medial and ventral visual neural networks in SCD patients.
- Posterior cerebral artery stenosis was present in 6/25 SCD children.
Conclusions:
- Sickle cell disease affects visual cortex development and neural network connectivity in childhood.
- These changes occur even in the absence of retinopathy.
- Further research is needed to explore these findings as potential predictors of visual impairment, disease biomarkers, or treatment response indicators.
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