Feb 15, 2021 · In the current study, we explored the opposing relationship among functional networks using a variety of task conditions spanning different ...
Overall, our findings indicate that anti-correlations are a biologically meaningful phenomenon and may reflect an important principle of ...
Overall, our findings indicate that anti-correlations are a biologically meaningful phenomenon and may reflect an important principle of functional brain ...
Oct 8, 2022 · This study tested the hypothesis that multi-task co-activation matrices could be used to predict canonical resting-state network connectivity ...
Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks ... Authors: Meiling Li; Louisa Dahmani; Danhong Wang; Jianxun Ren ...
Aug 15, 2021 · Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks. NeuroImage, 227, Article 117680. http://dx ...
Mar 30, 2021 · Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks. Neuroimage , 227, 117680. doi:10.1016/j ...
Mar 6, 2024 · ... into APMs to predict. resting state network ... Co-activation patterns across multiple tasks. reveal robust anti-correlated functional networks.
Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks. NeuroImage, 227, Article 117680. http://dx.doi.org/10.1016/j ...
Co-activation patterns span multiple brain subsystems; hence, CAPs were named after maximal resemblance to specific major canonical networks, 3,57 verified ...