New methods for fMRI data processing based on locally linear embeddings

Laurent Chaillou; Imam Samil Yetik; Miles N Wernick

doi:10.1117/12.776453

26 February 2008 New methods for fMRI data processing based on locally linear embeddings

Laurent Chaillou, Imam Samil Yetik, Miles N Wernick

Proceedings Volume 6814, Computational Imaging VI; 681412 (2008) https://doi.org/10.1117/12.776453
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

We propose a new method for analyzing fMRI (functional magnetic resonance imaging) data based on locally linear embeddings (LLE). The LLE method is useful for analyzing data when there is a local structure intrinsic to the measurements allowing for reconstruction of measurements from its neighboring points only. We develop a method to extract the underlying temporal signal in fMRI experiments based on LLE. Simulations show that improved results can be obtained under certain conditions when compared to traditional methods such as the principal component analysis (PCA) and independent component analysis (ICA) methods.

Citation Download Citation

Laurent Chaillou, Imam Samil Yetik, and Miles N Wernick "New methods for fMRI data processing based on locally linear embeddings", Proc. SPIE 6814, Computational Imaging VI, 681412 (26 February 2008); https://doi.org/10.1117/12.776453

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