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Multi-Table Differential Correlation Analysis of Neuroanatomical and Cognitive Interactions in Turner Syndrome

Overview of attention for article published in Neuroinformatics, December 2017
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Title
Multi-Table Differential Correlation Analysis of Neuroanatomical and Cognitive Interactions in Turner Syndrome
Published in
Neuroinformatics, December 2017
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.

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
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 %
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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 December 2017.
All research outputs
#20,456,235
of 23,012,811 outputs
Outputs from Neuroinformatics
#358
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Outputs of similar age
#376,323
of 440,666 outputs
Outputs of similar age from Neuroinformatics
#8
of 9 outputs
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