Publication Type : Conference Proceedings
Thematic Areas : Biotech, Medical Sciences
Publisher : Proceedings of the IEEE International Joint Conference on Neural Networks
Source : Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) 2015, Killarney, Ireland, July 12-17, 2015.
Url : https://ieeexplore.ieee.org/abstract/document/7280638
Accession Number : 15504132
Campus : Amritapuri
School : School of Biotechnology
Center : Amrita Mind Brain Center, Biotechnology
Department : biotechnology
Year : 2015
Abstract : Understanding the relationship between fMRI BOLD and underlying neuronal activity has been crucial to connect circuit behavior to cognitive functions. In this paper, we modeled fMRI BOLD reconstructions with general linear model and balloon modeling using biophysical models of rat cerebellum granular layer and stimuli spike trains of various response times. Linear convolution of the hemodynamic response function with the known spiking information reconstructed activity similar to experimental BOLD-like signals with the limitation of short stimuli trains. Balloon model through Volterra kernels gave seemingly similar results to that of general linear model. Our main goal in this study was to understand the activity role of densely populated clusters through BOLD-like reconstructions given neuronal responses and by varying response times for the whole stimulus duration.
Cite this Research Publication : haitanya Medini, Bipin Nair, Giovanni Naldi, Egidio D'Angelo and Shyam Diwakar, Reconstructing fMRI BOLD signals arising from Cerebellar Granule Neurons‐Comparing GLM and Balloon Models, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) 2015, Killarney, Ireland, July 12-17, 2015.