Journal
NEUROINFORMATICS
Volume 16, Issue 1, Pages 81-93Publisher
HUMANA PRESS INC
DOI: 10.1007/s12021-017-9351-z
Keywords
Permutation tests; Multi-table analysis; Sparse canonical correlation analysis; Turner syndrome; Tensor-based morphometry; Cognitive abilities
Funding
- Swiss National Science Foundation [146281, 158500]
- France-Stanford Center for Interdisciplinary Studies
- Gazit-Globe Post-Doctoral Fellowship Award
- NICHD [HD049653]
- NIMH [MH099630]
- Sharon Levine Foundation
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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.
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