Structural brain abnormalities in 12 persons with aniridia [version 2; referees: 2 approved]

• Main Authors: Madison K. Grant, Anastasia M. Bobilev, Jordan E. Pierce, Jon DeWitte, James D. Lauderdale
• Format: Article
• Language: English
• Published: F1000 Research Ltd 2017-09-01
• Series: F1000Research
• Subjects: Corneal & External Disorders; Neuroimaging
• Online Access: https://f1000research.com/articles/6-255/v2

Background: Aniridia is a disorder predominately caused by heterozygous loss-of-function mutations of the PAX6 gene, which is a transcriptional regulator necessary for normal eye and brain development.  The ocular abnormalities of aniridia have been well characterized, but mounting evidence has implicated brain-related phenotypes as a prominent feature of this disorder as well.  Investigations using neuroimaging in aniridia patients have shown reductions in discrete brain structures and changes in global grey and white matter.  However, limited sample sizes and substantive heterogeneity of structural phenotypes in the brain remain a challenge.  Methods: Here, we examined brain structure in a new population sample in an effort to add to the collective understanding of anatomical abnormalities in aniridia.  The current study used 3T magnetic resonance imaging to acquire high-resolution structural data in 12 persons with aniridia and 12 healthy demographically matched comparison subjects.  Results: We examined five major structures: the anterior commissure, the posterior commissure, the pineal gland, the corpus callosum, and the optic chiasm.  The most consistent reductions were found in the anterior commissure and the pineal gland; however, abnormalities in all of the other structures examined were present in at least one individual.  Conclusions: Our results indicate that the anatomical abnormalities in aniridia are variable and largely individual-specific.  These findings suggest that future studies investigate this heterogeneity further, and that normal population variation should be considered when evaluating structural abnormalities.