Publications

Submitted

Sotero, RC., Sanchez-Bornot, JM., Shaharabi-Farahani, I. Parameter Estimation in Brain Dynamics Models from Resting-State fMRI Data using Physics-Informed Neural Networks. bioRxiv 2024.02.27.582428; doi: https://doi.org/10.1101/2024.02.27.582428. (Accepted).

Published

Moradi, N., Goodyear, BG., Sotero, RC. (2024) Deep EEG source localization via EMD-based fMRI high spatial frequency. PLoS ONE 19(3): e0299284. https://doi.org/10.1371/journal.pone.0299284

Sanchez-Bornot J, Sotero R. C, Kelso JAS, Şimşek Ö, Coyle D. (2024). Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models. NeuroImage, 285, 20458, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2023.120458.

Sotero, R.C., Sanchez-Bornot, J. M.,  Iturria-Medina, Y. 2023. Improving fMRI-based  Autism Spectrum Disorder Classification with Random Walks-Informed Feature Extraction and Selection. In 2023 the 10th International Conference on Bioinformatics Research and Applications (ICBRA) (ICBRA 2023), September 22–24, 2023, Barcelona, Spain. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3632047.3632054

Sotero, R. C, and Sanchez-Bornot, J. M. 2023. Exploring Correlation-Based Brain Networks with Adaptive Signed Random Walks. 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Taizhou, China, 2023, pp. 1-6, doi: 10.1109/CISP-BMEI60920.2023.10373380.

Sanchez-Bornot, J.M., Sotero, R.C. (2023). Machine Learning for Time Series Forecasting Using State Space Models. In: Quaresma, P., Camacho, D., Yin, H., Gonçalves, T., Julian, V., Tallón-Ballesteros, A.J. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2023. IDEAL 2023. Lecture Notes in Computer Science, vol 14404. Springer, Cham. https://doi.org/10.1007/978-3-031-48232-8_43

Sotero, R.C., Sanchez-Bornot, J.M. (2023). Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks. In: Quaresma, P., Camacho, D., Yin, H., Gonçalves, T., Julian, V., Tallón-Ballesteros, A.J. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2023. IDEAL 2023. Lecture Notes in Computer Science, vol 14404. Springer, Cham. https://doi.org/10.1007/978-3-031-48232-8_21

Sotero, R.C., Sanchez-Bornot, J. M., Shaharabi-Farahani, I.,  Iturria-Medina, Y. (2023). Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder. In Proceedings of the 2023 7th International Conference on Medical and Health Informatics (ICMHI '23). Association for Computing Machinery, New York, NY, USA, 19–24. https://doi.org/10.1145/3608298.3608302

Sanchez-Bornot, J. M., Sotero, R. C., Coyle, D. (2023). Dynamic Source Localization and Functional Connectivity Estimation with State-Space Models: Preliminary Feasibility Analysis.  2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSPW59220.2023.10193527.

Moradi, N., Le Van, P., Akin, B., Goodyear, BG., Sotero, R.C.  (2022). Holo-Hilbert Spectral-based Removal of Gamma-Band Noise from Simultaneous EEG-fMRI Recordings. Journal of Neuroscience Methods 368, 109470.

Sanchez-Rodriguez, L., Iturria-Medina, Y., Mouches, P., Sotero, R.C. (2021). Detecting brain network communities: Considering the role of information flow and its different temporal scales. NeuroImage 225, 117431.

Martínez-Cancino, R.; Delorme, A.; Wagner, J.; Kreutz-Delgado, K.; Sotero, R.C.; Makeig, S. (2020). What Can Local Transfer Entropy Tell us About Phase-amplitude Coupling in Electrophysiological Signals? Entropy 22, 1262; doi:10.3390/e22111262 

Kazeminejad, A., Sotero, R. C. (2020). The importance of anti-correlations in graph theory-based classification of autism spectrum disorder. Front. Neurosci. 14:676. doi: 10.3389/fnins.2020.00676 

Sotero, R. C., Sanchez-Rodriguez, L. M., Moradi, N., & Dousty, M. (2020). Estimation of global and local complexities of brain networks: A random walks approach. Network Neuroscience, 4(3), 575–594. https://doi.org/10.1162/netn_a_00138

Sotero, R. C., Sanchez-Rodriguez, L. M., Dousty, M., Iturria-Medina, Y., Sanchez-Bornot, J. M. (2019). Cross-frequency interactions during information flow in complex networks are facilitated by scale-free properties. Front. Phys. 7:107. doi: 10.3389/fphy.2019.00107.

Moradi, N., Dousty, M., Sotero, R. C. (2019). Spatiotemporal empirical mode decomposition of resting-state fMRI signals: application to global signal regression. Front. Neurosci. 13:736. doi: 10.3389/fnins.2019.00736.

Martinez-Cancino, R., Heng, J., Delorme, A., Kreutz-Delgado, K., Sotero, R. C., Makeig, S. (2019). Measuring transient phase-amplitude coupling using local mutual information. NeuroImage 185, 361-378.

Kazeminejad, A., Sotero, R. C. (2019). Use of topological properties of resting-state fMRI functional networks improves machine learning-based autism classification. Front. Neurosci. 12:1018.doi: 10.3389/fnins.2018.01018.

Sanchez-Rodriguez, L. M., Iturria-Medina, Y., Baines, E. A., Mallo, S. C., Dousty, M., Sotero, R. C., et al. (2018) Design of optimal nonlinear network controllers for Alzheimer's disease. PLoS Comput Biol 14(5): e1006136.

Tsang, A., Lebel, C.A., Bray, S.L., Goodyear, B.G., Hafeez, M., Sotero, R. C., McCreary, C. H., Frayne, R. (2017). White matter structural connectivity is not correlated to cortical resting-state functional connectivity over the healthy adult lifespan. Front. Aging Neurosci. doi: 10.3389/fnagi.2017.00144.

Iturria-Medina, Y., Carbonell, F., Sotero, R. C., Chouinard, F., Evans, A., and the Alzheimer’s Disease Neuroimaging Initiative (2017). Multifactorial causal model of brain (dis)organization and therapeutic intervention: application to Alzheimer's disease. NeuroImage 152, 60-77. 

Dousty, M., Sotero, R. C. (2017). Constraining end effects  in empirical mode decomposition via a Nash nonlinear grey Bernoulli model. ICEIC 2017 International Conference on Electronics, Information, and Communication, 2017.1, 334-339 (6 pages).

Sotero, R. C. (2016). Topology, cross-frequency, and same-frequency band interactions shape the generation of phase-amplitude coupling in a neural mass model of a cortical column. PLoS Comput Biology 12(11): e1005180.

Dousty, M., Daneshvar, S., Sotero, R.C. (2016). Multifocus Image fusion via the Hartley transform. Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering. Vancouver, Canada. pp. 1-5. doi: 10.1109/CCECE.2016.7726651. 

Iturria-Medina, Y., Sotero, R. C., Toussaint, P. J., Mateos-Perez, J.M., & Evans, A. C., and the Alzheimer’s Disease Neuroimaging Initiative. (2016). Early role of vascular dysregulation on late-onset Alzheimer's disease progression: evidence from a multi-factorial analysis. Nature Communications. DOI:10.1038/ncomms11934. 

Shu, N., Iturria-Medina, Y. and Sotero, R.C. (2016). From Micro- to Macroscopic Brain Connectivity Using Multiple Modalities.  BioMed Research International, vol. 2016, Article ID 8128095, 2 pages. doi:10.1155/2016/8128095 

Sotero, R. C., Bortel, A., Naaman, S., Mocanu, V., Kropf, P., Villeneuve, M., Shmuel, A. (2015). Laminar distribution of phase-amplitude coupling of spontaneous current sources and sinks.  Front. Neurosci. 9:454. doi: 10.3389/fnins.2015.00454 

Sotero, R. C. (2015). Modeling the generation of phase-amplitude coupling in cortical circuits: from detailed networks to neural mass models. BioMed Research International, vol. 2015, Article ID 915606, doi:10.1155/2015/915606 

Iturria-Medina, Y., Sotero, R. C., Toussaint, P. J., & Evans, A. C., and the Alzheimer’s Disease Neuroimaging Initiative. (2014). Epidemic Spreading Model to Characterize Misfolded Proteins Propagation in Aging and Associated Neurodegenerative Disorders. PLoS Comput Biology, 10(11), e1003956. 

Sotero, R. C., and Shmuel, A. (2012). Energy based stochastic control of neural mass models suggest time-varying effective connectivity in the resting state. J Comput Neurosci 32, 563-576. 

Sotero, R. C., and Iturria-Medina, Y. (2011). From Blood Oxygenation Level Dependent (BOLD) signals to brain temperature maps. Bulletin of Mathematical Biology 73, 2731-2747. 

Torres-Fortuny, A., Pérez-Abalo, M. C., Sotero-Diaz, R. C., Rioja-Rodríguez, L., Rodríguez-Dávila, E., Galán-García, L., Eimil-Suarez, E . (2011). Stopping criteria for averaging the multiple auditory steady-state response. Acta Otorrinolaringol Esp. 62, 173-80.

Sotero, R. C., Bortel, A., Martínez-Cancino, R., Neupane, S., O'Connor, P., Carbonell, F., Shmuel, A. (2010). Anatomically-constrained effective connectivity among layers in a cortical column modeled and estimated from local field potentials. J Integr Neurosci 9, 355-379. 

Sotero, R. C., and Martínez-Cancino, R. (2010). Dynamical mean field model of a neural-glial mass. Neural Computation 22, 969-997. 

Valdes-Sosa, P., Sánchez-Bornot, J., Sotero, R. C., Iturria-Medina, Y., Bosch-Bayard, J., Carbonell, F., Ozaki, T. (2009). Model driven EEG/fMRI fusion of brain oscillations. Human Brain Mapping 30:2701–2721. 

Carbonell, F., Worsley, K. J., Trujillo-Barreto, N. J., Sotero, R. C. (2009). Random Fields-Union Intersection tests for detecting functional connectivity in EEG/MEG imaging. Human Brain Mapping 30:2477–2486. 

Sotero, R. C., Trujillo-Barreto, N. J., Jiménez, J.C., Carbonell, F., Rodríguez-Rojas., R. (2009). Identification and comparison of stochastic metabolic/hemodynamics model (sMHM) for the generation of the BOLD signal. J Comput Neurosci 26: 251-269. 

Martínez-Cancino, R. and  Sotero, R. C. (2008). Modeling the effect of cytoplasm sol-gel transitions on magnetization changes during MRI diffusion experiments in brain gray matter. International Journal of Bioelectromagnetism 10 (4): 269-280. 

Iturria-Medina, Y., Sotero, R. C., Canales-Rodríguez, E. J., Alemán-Gómez, Y., Melie-García, L. (2008). Studying the human brain anatomical network via diffusion-weighted MRI and graph theory. NeuroImage 40, 1064-1076. 

Sotero, R. C., Trujillo-Barreto, N. J. (2008). Biophysical model for integrating neuronal activity, EEG, fMRI and metabolism. NeuroImage 39, 290-309. 

Sotero, R. C., Trujillo-Barreto, N. J., Iturria-Medina, Y., Carbonell, F., Jiménez, J.C. (2007). Realistically coupled neural mass models can generate EEG rhythms. Neural Computation 19, 478-512. 

Sotero, R. C., Trujillo-Barreto, N. J. (2007). Modelling the role of excitatory and inhibitory neuronal activity in the generation of the BOLD signal. NeuroImage 35, 149-165. 

Sotero, R.C, Valdes-Sosa P, Perez-Abalo M.C (2004) Análisis mediante un modelo biofísico de la respuesta temporal de la cóclea provocada por múltiples tonos simultáneos modulados en amplitud. Revista CNIC. Ciencias Biológicas.  Vol 35. No 3. Suplemento.

Torres A, Perez-Abalo M. C, Sotero R.C, L. Rioja, E. Eimil. (2004). Caracterización de la relación señal/ruido de los potenciales evocados auditivos de estado estable durante la promediación. Revista CNIC. Ciencias Biológicas. Vol 35. No 3. 191-196.