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Are primary and secondary types of brain anomalies exclusive factors affecting the attention networks in individuals with spina bifida?

NEUROPSYCHOLOGY(2019)

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Abstract
Objective: Individuals with spina bifida myelomeningocele (SBM) frequently exhibit cognitive impairments on tasks mediated by brain regions involved in the posterior attention network. Although such deficits have been historically assumed to result from primary and secondary brain insults, there is a dearth of literature regarding whether sequential versus simultaneous surgical closure of neural folds and surgical shunt placement affect neuropsychological function and brain structure of attention networks that have been widely studied in individuals with SBM. The current study addressed these gaps in a large cohort of children and adults with SBM. Method: White matter pathways and regional brain volumes of anterior and posterior attention networks were quantified through probabilistic tractography and automated segmentation, respectively. The Child Attention Network Test measured behavioral components of posterior and anterior attention networks. Results: Sequential operations were associated with reduced orienting accuracy and smaller left superior parietal and dorsolateral prefrontal cortex volumes compared to simultaneous operations, controlling for a number of shunt revisions and age. Greater number of shunt revisions was associated with higher radial diffusivity values in the parietal tectocortical pathway. Older participants had greater accuracy and faster conflict resolution performance compared to younger participants, across operation type and number of shunt revisions. Conclusions: Shunt treatment and revision history related to brain structure and functions associated with the posterior attention network. Neurosurgical history also differentiated the harmful effects of early hydrocephalus on brain structure of the posterior from the anterior attention networks in SBM.
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Key words
congenital hydrocephalus,myelomeningocele,surgical treatment,attention networks
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