Signal Processing in Neuroimaging

Signal Processing in Neuroimaging

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SPIN-Group. Our group broadly focuses on investigating advanced methods for the acquisition and analysis of neuroimaging and biomedical data in order to advance our understanding of human brain function, structure and physiology.

With a focus on cognitive and clinical neuroscience, our current projects mainly concern the development of signal processing algorithms for functional magnetic resonance imaging and functional near-infrared spectroscopy, including signal denoising and deconvolution, physiological and neurovascular processes, functional connectivity analyses, decoding and encoding brain activity, and multimodal imaging. We aim to apply these methods to examine the functional organization of large-scale brain networks and how they shape cognition in single individuals and across subjects in healthy and diseased conditions across their lifespan.

Publications

2021

Urunuela, E., Moia, S., & Caballero-Gaudes, C. (2021). A low rank and sparse paradigm free mapping algorithm for deconvolution of FMRI data. Proceedings - International Symposium on Biomedical Imaging, 2021-April, 1726-1729. Doi:10.1109/ISBI48211.2021.9433821

2020

Heunis, S., Lamerichs, R., Zinger, S., Caballero-Gaudes, C., Jansen, J.F.A., Aldenkamp, B., & Breeuwer, M. (2020). Quality and denoising in real-time functional magnetic resonance imaging neurofeedback: A methods review. Human Brain Mapping, 41(12), 3439-3467. Doi:10.1002/hbm.25010
Moia, S., Stickland, R.C., Ayyagari, A., Termenon, M., Caballero-Gaudes, C., & Bright, M.G. (2020). Voxelwise optimization of hemodynamic lags to improve regional CVR estimates in breath-hold fMRI. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020-July, 1489-1492. Doi:10.1109/EMBC44109.2020.9176225
Urunuela, E., Jones, S., Crawford, A., Shin, W., Oh, S., Lowe, M., & Caballero-Gaudes, C. (2020). Stability-Based Sparse Paradigm Free Mapping Algorithm for Deconvolution of Functional MRI Data. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020-July, 1092-1095. Doi:10.1109/EMBC44109.2020.9176137

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