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pflieger01

M. E. Pflieger, R. E. Greenblatt. Nonlinear Analysis of Multimodal Dynamic Brain Imaging Data. Bioelectromagnetism, 3(1), 2001.

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Abstract

In the context of realizing the functional requirements of a task, brain dynamics organize brain activities that cause biophysical and physiological signals, which the instruments of various neuroimaging modalities can measure. An ultimate goal is to make joint inferences about the underlying activity, dynamics, and functions by exploiting complementary information from multimodal datasets, acquired from the same subject who performed the same task. An intermediate problem is to design cross-modal analyses that improve the spatial and temporal resolution of one modality by incorporating complementary information from another modality. Given that M/EEG and fMRI BOLD signals are complementary in time and space with respect to a common subspace of brain activity, is there an fMRI-related M/EEG analysis that spatially and temporally enhances the M/EEG signal? Likewise, is there an M/EEG-related fMRI analysis that temporally and spatially enhances the BOLD signal? A theoretical principle is to design cross-modal analyses that maximize the dynamic coupling between jointly observed signals within the framework of nonlinear system identification. In particular, we define a linear spatial estimator that maximizes the empirical coupling of the estimated M/EEG source activity as driven by local BOLD signal, and a nonlinear dynamic transform that maximizes the coupling of BOLD signal as driven by the estimated M/EEG signal. The latter transformation can be the basis for fMRI statistical parametric maps that couple more tightly with neuronal activity compared with task-derived maps. For M/EEG and fMRI datasets obtained from different sessions, we describe a method of temporal alignment that uses separately identified nonlinear system models to simulate "virtual simultaneous" datasets. The critical criterion for empirical evaluation of these methods is between-session reliability

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[ Fusion ]

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M. E. Pflieger
R. E. Greenblatt

BibTex Reference

@article{pflieger01,
   Author = {Pflieger, M. E. and Greenblatt, R. E.},
   Title = {Nonlinear Analysis of Multimodal Dynamic Brain Imaging Data},
   Journal = {Bioelectromagnetism},
   Volume = {    3},
   Number = {1},
   Year = {2001}
}

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