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Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Neuroscience Institute Faculty Publications
The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; …
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Neuroscience Institute Faculty Publications
The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; …
The Rise Of Large-Scale Imaging Studies In Psychiatry, Jessica Turner
The Rise Of Large-Scale Imaging Studies In Psychiatry, Jessica Turner
Neuroscience Institute Faculty Publications
From the initial arguments over whether 12 to 20 subjects were sufficient for an fMRI study, sample sizes in psychiatric neuroimaging studies have expanded into the tens of thousands. These large-scale imaging studies fall into several categories, each of which has specific advantages and challenges. The different study types can be grouped based on their level of control: meta-analyses, at one extreme of the spectrum, control nothing about the imaging protocol or subject selection criteria in the datasets they include, On the other hand, planned multi-site mega studies pour intense efforts into strictly having the same protocols. However, there are …