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Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks
- Source :
- Frontiers in Neuroscience, Frontiers in Neuroscience, Vol 12 (2018)
- Publication Year :
- 2018
- Publisher :
- Frontiers Media SA, 2018.
-
Abstract
- We introduce a novel recurrent neural network (RNN) approach to account for temporal dynamics and dependencies in brain networks observed via functional magnetic resonance imaging (fMRI). Our approach directly parameterizes temporal dynamics through recurrent connections, which can be used to formulate blind source separation with a conditional (rather than marginal) independence assumption, which we call RNN-ICA. This formulation enables us to visualize the temporal dynamics of both first order (activity) and second order (directed connectivity) information in brain networks that are widely studied in a static sense, but not well-characterized dynamically. RNN-ICA predicts dynamics directly from the recurrent states of the RNN in both task and resting state fMRI. Our results show both task-related and group-differentiating directed connectivity.<br />Accepted to Frontiers of Neuroscience
- Subjects :
- FOS: Computer and information sciences
neuroimaging methods
Statistical assumption
Computer science
Computer Science::Neural and Evolutionary Computation
AOD
RNN
Blind signal separation
050105 experimental psychology
lcsh:RC321-571
03 medical and health sciences
0302 clinical medicine
Magnetic imaging
Methods
medicine
0501 psychology and cognitive sciences
ICA
Neural and Evolutionary Computing (cs.NE)
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Resting state fMRI
medicine.diagnostic_test
business.industry
Deep learning
General Neuroscience
fMRI
05 social sciences
Dynamics (mechanics)
deep learning
Computer Science - Neural and Evolutionary Computing
Pattern recognition
Recurrent neural network
FOS: Biological sciences
Quantitative Biology - Neurons and Cognition
Neurons and Cognition (q-bio.NC)
Artificial intelligence
business
Functional magnetic resonance imaging
resting-state fMRI
030217 neurology & neurosurgery
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 1662453X
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Frontiers in Neuroscience
- Accession number :
- edsair.doi.dedup.....7cede53a595727dd995333dfe6582627
- Full Text :
- https://doi.org/10.3389/fnins.2018.00600