Interpreting a Multivariate Analysis of Functional Neuroimaging Data
نویسندگان
چکیده
منابع مشابه
Interpreting a Multivariate Analysis of Functional Neuroimaging Data
Over a decade ago, Nestor et al. (2002) employed a data-driven multivariate statistical algorithm to better understand brainbehavior correlates in schizophrenia. The technique used, partial least squares (PLS), is similar to principal component analysis and is able to uncover functional neural networks that covary with behavior (McIntosh et al., 1996). Given that prominent theories posit schizo...
متن کاملBasics of Multivariate Analysis in Neuroimaging Data
Multivariate analysis techniques for neuroimaging data have recently received increasing attention as they have many attractive features that cannot be easily realized by the more commonly used univariate, voxel-wise, techniques(1,4,5,6,7). Multivariate approaches evaluate correlation/covariance of activation across brain regions, rather than proceeding on a voxel-by-voxel basis. Thus, their re...
متن کاملInterpreting support vector machine models for multivariate group wise analysis in neuroimaging
Machine learning based classification algorithms like support vector machines (SVMs) have shown great promise for turning a high dimensional neuroimaging data into clinically useful decision criteria. However, tracing imaging based patterns that contribute significantly to classifier decisions remains an open problem. This is an issue of critical importance in imaging studies seeking to determi...
متن کاملPETRA: Multivariate analyses for neuroimaging data
In last years, many research efforts in neurosciences have focused in multivariate approaches based on machine learning as an alternative to the use of Statistical Parametric Mapping and the univariate analyses that it provides. However, this relatively new field still lacks of a software framework that completely meets the needs of the scientific community. In this work we present a toolbox de...
متن کاملInterpreting Deactivations in Neuroimaging
Functional magnetic resonance imaging (fMRI) is a relatively young tool for understanding how the brain’s activities contribute to physical and psychological processes. In the roughly 20 years since its introduction, fMRI has developed at an astounding rate regarding advances in both the acquisition of images, as well as improved post-acquisition analysis (Bandettini, 2011). Blood oxygenation l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Psychiatry
سال: 2012
ISSN: 1664-0640
DOI: 10.3389/fpsyt.2012.00052