Zobrazeno 1 - 10
of 585
pro vyhledávání: '"Lindquist, Martin A."'
Autor:
Lurie, Daniel J., Kessler, Daniel, Bassett, Danielle S., Betzel, Richard F., Breakspear, Michael, Kheilholz, Shella, Kucyi, Aaron, Liégeois, Raphaël, Lindquist, Martin A., McIntosh, Anthony Randal, Poldrack, Russell A., Shine, James M., Thompson, William Hedley, Bielczyk, Natalia Z., Douw, Linda, Kraft, Dominik, Miller, Robyn L., Muthuraman, Muthuraman, Pasquini, Lorenzo, Razi, Adeel, Vidaurre, Diego, Xie, Hua, Calhoun, Vince D.
Publikováno v:
Network Neuroscience, Vol 4, Iss 1, Pp 30-69 (2020)
The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain’s functional architecture a
Externí odkaz:
https://doaj.org/article/39fc09b56bcd4114906c19782ebb2ffc
Influential diagnosis is an integral part of data analysis, of which most existing methodological frameworks presume a deterministic submodel and are designed for low-dimensional data (i.e., the number of predictors p smaller than the sample size n).
Externí odkaz:
http://arxiv.org/abs/2401.13208
All neuroimaging modalities have their own strengths and limitations. A current trend is toward interdisciplinary approaches that use multiple imaging methods to overcome limitations of each method in isolation. At the same time neuroimaging data is
Externí odkaz:
http://arxiv.org/abs/2303.16443
Functional alignment between subjects is an important assumption of functional magnetic resonance imaging (fMRI) group-level analysis. However, it is often violated in practice, even after alignment to a standard anatomical template. Hyperalignment,
Externí odkaz:
http://arxiv.org/abs/2209.07960
In recent years, neuroimaging has undergone a paradigm shift, moving away from the traditional brain mapping approach toward developing integrated, multivariate brain models that can predict categories of mental events. However, large interindividual
Externí odkaz:
http://arxiv.org/abs/2209.07585
Functional Gaussian graphical models (GGM) used for analyzing multivariate functional data customarily estimate an unknown graphical model representing the conditional relationships between the functional variables. However, in many applications of m
Externí odkaz:
http://arxiv.org/abs/2209.06294
Autor:
Honari, Hamed, Lindquist, Martin A.
Recently there has been significant interest in measuring time-varying functional connectivity (TVC) between different brain regions using resting-state functional magnetic resonance imaging (rs-fMRI) data. One way to assess the relationship between
Externí odkaz:
http://arxiv.org/abs/2203.13955
Autor:
Stewart, Brent W., Keaser, Michael L., Lee, Hwiyoung, Margerison, Sarah M., Cormie, Matthew A., Moayedi, Massieh, Lindquist, Martin A., Chen, Shuo, Mathur, Brian N., Seminowicz, David A.
Publikováno v:
In Current Biology 6 May 2024 34(9):1953-1966
Functional magnetic resonance imaging (fMRI) has provided invaluable insight into our understanding of human behavior. However, large inter-individual differences in both brain anatomy and functional localization after anatomical alignment remain a m
Externí odkaz:
http://arxiv.org/abs/2102.10179
In recent years there has been growing interest in measuring time-varying functional connectivity between different brain regions using resting-state functional magnetic resonance imaging (rs-fMRI) data. One way to assess the relationship between sig
Externí odkaz:
http://arxiv.org/abs/2009.10126