Cloud Computing for Voxel-Wise SEM Analysis of MRI Data

As data collection costs fall and vast quantities of data are collected, data analysis time can become a bottleneck. For massively parallel analyses, cloud computing offers the short-term rental of ample processing power. Recent software innovations have reduced the effort needed to take advantage o...

Full description

Bibliographic Details
Main Authors: Neale, M.C (Author), Pritikin, J.N (Author), Schmitt, J.E (Author)
Format: Article
Language:English
Published: Routledge 2019
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02221nam a2200421Ia 4500
001 10.1080-10705511.2018.1521285
008 220511s2019 CNT 000 0 und d
020 |a 10705511 (ISSN) 
245 1 0 |a Cloud Computing for Voxel-Wise SEM Analysis of MRI Data 
260 0 |b Routledge  |c 2019 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1080/10705511.2018.1521285 
520 3 |a As data collection costs fall and vast quantities of data are collected, data analysis time can become a bottleneck. For massively parallel analyses, cloud computing offers the short-term rental of ample processing power. Recent software innovations have reduced the effort needed to take advantage of cloud computing. To demonstrate, we replicate a voxel-wise examination of the genetic contributions to cortical development by age using evidence from 1748 MRI scans. Specifically, we employ off-the-shelf Kubernetes software that permits us to re-run our analyses using almost the same computer code as was published in the original article. Large, well funded institutions may continue to maintain their own computing clusters. However, the modest cost of renting and ease of utilizing cloud computing services makes unprecedented compute power available to all researchers, whether or not affiliated with a research institution. We expect this to spur innovation in the sophisticated modeling of large datasets. © 2019, Copyright © 2019 Taylor & Francis Group, LLC. 
650 0 4 |a big data 
650 0 4 |a Big data 
650 0 4 |a cloud computing 
650 0 4 |a Cloud computing 
650 0 4 |a Cost benefit analysis 
650 0 4 |a developmental 
650 0 4 |a developmental 
650 0 4 |a ecological momentary assessment 
650 0 4 |a ecological momentary assessment 
650 0 4 |a FMRI 
650 0 4 |a FMRI 
650 0 4 |a genetics 
650 0 4 |a genetics 
650 0 4 |a genomic SEM 
650 0 4 |a GWAS 
650 0 4 |a GWAS 
650 0 4 |a neuroimaging 
650 0 4 |a Neuroimaging 
650 0 4 |a time series 
650 0 4 |a Time series 
650 0 4 |a twins 
650 0 4 |a twins 
700 1 |a Neale, M.C.  |e author 
700 1 |a Pritikin, J.N.  |e author 
700 1 |a Schmitt, J.E.  |e author 
773 |t Structural Equation Modeling