Global and Local Connectivity Differences Converge With Gene Expression in a Neurodevelopmental Disorder of Known Genetic Origin

<span class="paragraphSection"><div class="boxTitle">Abstract</div>Knowledge of genetic cause in neurodevelopmental disorders can highlight molecular and cellular processes critical for typical development. Furthermore, the relative homogeneity of neurodevelopmental disorders of known genetic origin allows the researcher to establish the subsequent neurobiological processes that mediate cognitive and behavioral outcomes. The current study investigated white matter structural connectivity in a group of individuals with intellectual disability due to mutations in <span style="font-style:italic;">ZDHHC9</span>. In addition to shared cause of cognitive impairment, these individuals have a shared cognitive profile, involving oromotor control difficulties and expressive language impairment. Analysis of structural network properties using graph theory measures showed global reductions in mean clustering coefficient and efficiency in the <span style="font-style:italic;">ZDHHC9</span> group, with maximal differences in frontal and parietal areas. Regional variation in clustering coefficient across cortical regions in <span style="font-style:italic;">ZDHHC9</span> mutation cases was significantly associated with known pattern of expression of <span style="font-style:italic;">ZDHHC9</span> in the normal adult human brain. The results demonstrate that a mutation in a single gene impacts upon white matter organization across the whole-brain, but also shows regionally specific effects, according to variation in gene expression. Furthermore, these regionally specific patterns may link to specific developmental mechanisms, and correspond to specific cognitive deficits.</span>

http://ift.tt/2jWPY0o