Meeting Banner
Abstract #0953

Generalized Recurrent Neural Network accommodating Dynamic Causal Modelling for functional MRI analysis

Yuan Wang1, Yao Wang2, and Yvonne W Lui3

1Tandon School of Engineering, New York University, Brooklyn, NY, United States, 2Tandon School of Engineering, New York University, 3School of Medicine, New York University

We propose DCM-RNN, a new model for effective connectivity estimation from fMRI signal that links the strengths of traditional Dynamic Casual Modelling (DCM) and deep learning. It casts DCM as a generalized Recurrent Neural Network (RNN) and estimates the effective connectivity using backpropagation. It extends DCM with a more flexible framework, unique estimation methods, and neural network compatibility. In simulated experiments, we demonstrate that DCM-RNN is feasible and can be used to estimate the effective connectivity.

This abstract and the presentation materials are available to members only; a login is required.

Join Here