| Literature DB >> 29270892 |
Christof Seiler1, Tamar Green2,3, David Hong2, Lindsay Chromik2, Lynne Huffman4, Susan Holmes5, Allan L Reiss2,6.
Abstract
Girls and women with Turner syndrome (TS) have a completely or partially missing X chromosome. Extensive studies on the impact of TS on neuroanatomy and cognition have been conducted. The integration of neuroanatomical and cognitive information into one consistent analysis through multi-table methods is difficult and most standard tests are underpowered. We propose a new two-sample testing procedure that compares associations between two tables in two groups. The procedure combines multi-table methods with permutation tests. In particular, we construct cluster size test statistics that incorporate spatial dependencies. We apply our new procedure to a newly collected dataset comprising of structural brain scans and cognitive test scores from girls with TS and healthy control participants (age and sex matched). We measure neuroanatomy with Tensor-Based Morphometry (TBM) and cognitive function with Wechsler IQ and NEuroPSYchological tests (NEPSY-II). We compare our multi-table testing procedure to a single-table analysis. Our new procedure reports differential correlations between two voxel clusters and a wide range of cognitive tests whereas the single-table analysis reports no differences. Our findings are consistent with the hypothesis that girls with TS have a different brain-cognition association structure than healthy controls.Entities:
Keywords: Cognitive abilities; Multi-table analysis; Permutation tests; Sparse canonical correlation analysis; Tensor-based morphometry; Turner syndrome
Mesh:
Year: 2018 PMID: 29270892 PMCID: PMC6223630 DOI: 10.1007/s12021-017-9351-z
Source DB: PubMed Journal: Neuroinformatics ISSN: 1539-2791