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Generation of stimulus features for analysis of FMRI during natural auditory experiences
Tsatsishvili, Valeri; Cong, Fengyu; Ristaniemi, Tapani; Toiviainen, Petri; Alluri, Vinoo; Brattico, Elvira; Nandi, Asoke (IEEE, 2014)In contrast to block and event-related designs for fMRI experiments, it becomes much more difficult to extract events of interest in the complex continuous stimulus for finding corresponding blood-oxygen-level ... -
Examining stability of independent component analysis based on coefficient and component matrices for voxel-based morphometry of structural magnetic resonance imaging
Zhang, Qing; Hu, Guoqiang; Tian, Lili; Ristaniemi, Tapani; Wang, Huili; Chen, Hongjun; Wu, Jianlin; Cong, Fengyu (Springer Netherlands, 2018)Independent component analysis (ICA) on group-level voxel-based morphometry (VBM) produces the coefficient matrix and the component matrix. The former contains variability among multiple subjects for further statistical ... -
KernelICA : Kernel Independent Component Analysis
Koesner, Christoph L.; Nordhausen, Klaus (CRAN - The Comprehensive R Archive Network, 2021)The kernel independent component analysis (kernel ICA) method introduced by Bach and Jordan (2003) . The incomplete Cholesky decomposition used in kernel ICA is provided as separate function. -
Removal of site effects and enhancement of signal using dual projection independent component analysis for pooling multi‐site MRI data
Hao, Yuxing; Xu, Huashuai; Xia, Mingrui; Yan, Chenwei; Zhang, Yunge; Zhou, Dongyue; Kärkkäinen, Tommi; Nickerson, Lisa D.; Li, Huanjie; Cong, Fengyu (Wiley-Blackwell, 2023)Combining magnetic resonance imaging (MRI) data from multi-site studies is a popular approach for constructing larger datasets to greatly enhance the reliability and reproducibility of neuroscience research. However, the ... -
Asymptotic and bootstrap tests for subspace dimension
Nordhausen, Klaus; Oja, Hannu; Tyler, David E. (Elsevier, 2022)Many linear dimension reduction methods proposed in the literature can be formulated using an appropriate pair of scatter matrices. The eigen-decomposition of one scatter matrix with respect to another is then often used ...