Takanori Watanabe

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Substantial evidence indicates that major psychiatric disorders are associated with distributed neural dysconnectivity, leading to a strong interest in using neuroimaging methods to accurately predict disorder status. In this work, we are specifically interested in a multivariate approach that uses features derived from whole-brain resting state functional(More)
For image registration to be applicable in a clinical setting, it is important to know the degree of uncertainty in the returned point-correspondences. In this paper, we propose a data-driven method that allows one to visualize and quantify the registration uncertainty through spatially adaptive confidence regions. The method applies to various parametric(More)
OBJECTIVE Smoking is associated with gastroesophageal reflux disease (GERD). Varenicline, a nicotinic receptor partial agonist, is used to aid smoking cessation. The purpose of this study was to prospectively examine the long-term benefits of smoking cessation on GERD and health-related quality of life (HR-QOL). METHODS Patients treated with varenicline(More)
There is great interest in developing imaging-based methods for diagnosing neuropsychiatric conditions. To this end, multiple data-sharing initiatives have been launched in the neuroimaging field, where datasets are collected across multiple imaging sites. While this enables researchers to study the disorders of interest with substantial sample size, it(More)
There is an error in the Results subsection of the Abstract as well as third paragraph of the Results section. In both of these instances, 43.9% should be 43.1%. There is an error in the caption of Fig 3. The authors have provided a corrected caption for Fig 3 here. access article distributed under the terms of the Creative Commons Attribution License,(More)
There is substantial interest in developing machine-based methods that reliably distinguish patients from healthy controls using high dimensional correlation maps known as functional connectomes (FC's) generated from resting state fMRI. To address the dimensionality of FC's, the current body of work relies on feature selection techniques that are blind to(More)
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