Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks

[1]  Jack L. Gallant,et al.  Encoding and decoding in fMRI , 2011, NeuroImage.

[2]  Nancy Kanwisher,et al.  Broad domain generality in focal regions of frontal and parietal cortex , 2013, Proceedings of the National Academy of Sciences.

[3]  Heng Huang,et al.  Sparse representation of whole-brain fMRI signals for identification of functional networks , 2015, Medical Image Anal..

[4]  Jinglei Lv,et al.  Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data , 2019, IEEE Transactions on Biomedical Engineering.

[5]  Essa Yacoub,et al.  The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.

[6]  Xintao Hu,et al.  Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning , 2020, Brain Connect..

[7]  Jinglei Lv,et al.  Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex , 2015, Human brain mapping.

[8]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[9]  Yu Zhao,et al.  Modeling Task fMRI Data Via Deep Convolutional Autoencoder , 2018, IEEE Transactions on Medical Imaging.

[10]  N. Logothetis What we can do and what we cannot do with fMRI , 2008, Nature.

[11]  Quanzheng Li,et al.  Four-Dimensional Modeling of fMRI Data via Spatio–Temporal Convolutional Neural Networks (ST-CNNs) , 2018, IEEE Transactions on Cognitive and Developmental Systems.

[12]  E C Wong,et al.  Processing strategies for time‐course data sets in functional mri of the human brain , 1993, Magnetic resonance in medicine.

[13]  A. Andersen,et al.  Principal component analysis of the dynamic response measured by fMRI: a generalized linear systems framework. , 1999, Magnetic resonance imaging.

[14]  Stephen M Smith,et al.  Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.

[15]  L. K. Hansen,et al.  Independent component analysis of functional MRI: what is signal and what is noise? , 2003, Current Opinion in Neurobiology.

[16]  Maurizio Corbetta,et al.  The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.