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Transmodal Analysis of Neural Signals by Halchenko, Yaroslav O.; Hanke, Michael; Haxby, James V.; Hanson, Stephen Jose; Herrmann, Christoph S. is a scholarly article available to read on EtoBox.

What is Transmodal Analysis of Neural Signals about?

Localizing neuronal activity in the brain, both in time and in space, is a central challenge to advance the understanding of brain function. Because of the inability of any single neuroimaging techniques to cover all aspects at once, there is a growing interest to combine signals from multiple modalities in order to benefit from the advantages of each acquisition method. Due to the complexity and unknown parameterization of any suggested complete model of BOLD response in functional magnetic resonance imaging (fMRI), the development of a reliable ultimate fusion approach remains difficult. But besides the primary goal of superior temporal and spatial resolution, conjoint analysis of data from multiple imaging modalities can alternatively be used to segregate neural information from physiological and acquisition noise. In this paper we suggest a novel methodology which relies on constructing a quantifiable mapping of data from one modality (electroencephalography; EEG) into another (fMRI), called transmodal analysis of neural signals (TRANSfusion). TRANSfusion attempts to map neural data embedded within the EEG signal into its reflection in fMRI data. Assessing the mapping performan

Author

Halchenko, Yaroslav O.; Hanke, Michael; Haxby, James V.; Hanson, Stephen Jose; Herrmann, Christoph S.

Published

2013

Language

EN