… We here focused on the dynamics of time and space in the brain'sactivity and how that … brain'sactivity constructs its own dynamics of time and space (its so-called inner time and space), …
JL Breedlove, G St-Yves, CA Olman, T Naselaris - Current Biology, 2020 - cell.com
… spatial frequencies encoded by human brainactivity in low-level visual areas would be reduced relative to seen spatial … be determined by tuning to seen spatial frequencies in a higher-…
… the spatial maps … patterns of coordinated activity across the whole brain obtained by averaging similar ~20-second-long segments of rsfMRI timeseries. In each of these patterns, activity …
… , which greatly reduces time and memory requirements while retaining accurate inference of the spatialpatterns as well as interpolation to missing spots (Supplementary Fig. 17). …
… trajectories through brain activation space at rest. We hypothesized that the state space of brainactivity could be explained by two components: linear diffusion of activity along white …
J Lee, S Ha, M Kim, SW Kim, J Yun… - Proceedings of the …, 2020 - National Acad Sciences
… spatial and temporal analysis of glycome expression patterns in the mammalian brain using … valuable implications on molecular events regarding brain functions and development. We …
J Gong, J Wang, S Qiu, P Chen, Z Luo, J Wang… - Translational …, 2020 - nature.com
… We compared results to identify both common and different patterns of spontaneous brain activity alterations. MDD and BD shared increased ALFF in the bilateral insula and right mPFC…
… brainactivity is characterized by a set of structured dynamic transition trajectories in which the accessibility of distinct brain … of k, we inspected the spatialpatterns in terms of consistency …
Y Miao, J Jin, I Daly, C Zuo, X Wang… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
… spatialpatterns (CSP) algorithm is the most popular spatial filtering method applied to extract electroencephalogram (EEG) features for motor imagery (MI) based brain-… -spatialpatterns (…