Title |
Multi-Table Differential Correlation Analysis of Neuroanatomical and Cognitive Interactions in Turner Syndrome
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Published in |
Neuroinformatics, December 2017
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DOI | 10.1007/s12021-017-9351-z |
Pubmed ID | |
Authors |
Christof Seiler, Tamar Green, David Hong, Lindsay Chromik, Lynne Huffman, Susan Holmes, Allan L. Reiss |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 4 | 20% |
Student > Master | 3 | 15% |
Researcher | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Other | 6 | 30% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
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Psychology | 5 | 25% |
Medicine and Dentistry | 5 | 25% |
Neuroscience | 2 | 10% |
Nursing and Health Professions | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Other | 4 | 20% |
Unknown | 2 | 10% |