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Publications

An always updated list is also available on my Google Scholar profile page.

2026

  1. Mendoza T., Pinto-Orellana M., Olaya J., Ombao H., Shrey D., Lopour B. (2026). Robust time delay estimation for measurement of ictal EEG traveling waves. Journal of Neural Engineering.

    doi:10.1088/1741-2552/ae9bed

  2. A. Yazidi, Pinto-Orellana M., Djenouri Y. (2026). Online Sensor Grouping via Multi-Agent Learning Automata: An Ising Model Perspective. AAMAS'26: Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems.

    doi:10.65109/EBCR6361

  3. Mosthagimi S., Pinto-Orellana M., Green N., Shrey D., Miyakoshi M., Hussain S., Lopour B. (2026). Prediction of treatment response in infantile epileptic spasms syndrome using EEG phase-amplitude coupling. Epilepsia Open.

    doi:10.1002/epi4.70230

2025

  1. Lindquist M, Caffo B, Kang J., Simpson S., Pinto-Orellana M., Ting C., Shojaie A., Guindani M., Ombao H. (2025). Statistics, Data Science, and the Connectome. Statistics and Data Science in Imaging.

    doi:10.1080/29979676.2025.2569894

  2. Mara Talento, Richards J, Pinto-Orellana M., Huser R., Ombao H. (2025). Spectral Extremal Connectivity of Two-State Seizure Brain Waves. Submitted.

    arXiv:2503.04169

2024

  1. Pinto-Orellana M., Khan H., Ombao H., Mirtaheri P. (2024). Emerging neuroimaging approach of hybrid EEG-fNIRS recordings: data collection and analysis challenges. Data Science in Science UDSS.

    doi:10.1080/26941899.2024.2426785

  2. Pinto-Orellana M., Lopour B. (2024). Connectivity of High-Frequency Bursts as SOZ Localization Biomarker. Frontiers in Network Physiology.

    doi:10.3389/fnetp.2024.1441998

  3. Hu D., Pinto-Orellana M., Rana M., Adams D., Do L., Shrey D., Hussain S., Lopour B. (2024). Discovering EEG biomarkers of Lennox-Gastaut Syndrome through unsupervised time-frequency image analysis. Epilepsia.

    doi:10.1111/epi.18211

  4. Sindhu K., Pinto-Orellana M., Ombao H., Riba A., Phillips D., Olaya J., Shrey D., Lopour B. (2024). Electrode surface area impacts measurement of high frequency oscillations in human intracranial EEG.. IEEE Transactions in biomedical engineering.

    doi:10.1109/TBME.2024.3416440

2023

  1. Pinto-Orellana M., Ombao H., Lopour B. (2023). Statistical Inference for Modulation Index in Phase-Amplitude Coupling.

    Preprint arXiv:2310.05398

  2. Khan H., Pinto-Orellana M., Mirtaheri P. (2023). Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS. Sensors.

    doi:10.3390/s23094422

  3. El-Yaagoubi A, Pinto-Orellana M., Fortin N., Ombao H. (2023). Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data.

    Preprint doi:10.4310/22-SII729

2022

  1. Ombao H., Pinto-Orellana M. (2022). Spectral dependence. Econometrics and Statistics.

    doi:10.1016/j.ecosta.2022.10.005

2021

  1. Pinto-Orellana M., Mirtaheri P., Hammer H. (2021). COFRE: Complex narrow-bandpass filters for very-low-frequency tracking in tinnitus identification.

    Preprint arXiv:2105.13476 Abstract & BibTeX

  2. Pinto-Orellana M., Sherkat H., Mirtaheri P., Hammer H. (2021). Dyadic aggregated autoregressive (DASAR) model for time-frequency representation of biomedical signals.

    Preprint arXiv:2105.10406

  3. Pinto-Orellana M., Mirtaheri P., Hammer H., Ombao H. (2021). SCAU: Modeling spectral causality for multivariate time series with applications to electroencephalograms.

    Preprint arXiv:2105.06418

2020

  1. Cruz M., Pinto-Orellana M., Gillen D., Ombao H. (2020). RITS: A Toolbox for Assessing Complex Interventions via Interrupted Time Series.. BMC Medical Research Methodology.

    doi:10.1186/s12874-021-01322-w

  2. Pinto-Orellana M., Hammer H. (2020). Analysis of optical brain signals using connectivity graph networks.. Lecture Notes in Computer Science.

    doi:10.1007/978-3-030-57321-8_27

  3. Nascimento D., Pinto-Orellana M., Jeite J., Edwards D., Santos T., Louzada F. (2020). BrainWave Nets: Are sparse dynamic models susceptible to brain manipulation experimentation. Frontiers in Systems Neuroscience.

    doi:10.3389/fnsys.2020.527757

  4. Pinto-Orellana M., Hammer H. (2020). Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification.. IEEE Access.

    doi:10.1109/ACCESS.2020.3019243

  5. Sherkat H., Pinto-Orellana M., Mirtaheri P. (2020). SHADE: Absorption spectroscopy enhancement with ambient light estimation and narrow-band detection. Optik.

    doi:10.1016/j.ijleo.2020.165116

2019

  1. A. Yazidi, Pinto-Orellana M., Hammer H., Mirtaheri P., Herrera E. (2019). Solving sensor identification problem without knowledge of the ground truth using replicator dynamics.. IEEE Transactions in Cybernetics.

    doi:10.1101/105650

  2. Risnes M., Mellema M., Pinto-Orellana M., Sherkat H. (2019). Enhancement of collaboration in the early stage of an interdisciplinary engineering and design project: mapping group dynamics.. The design society.

    doi:10.35199/epde2019.46

2016

  1. Pinto-Orellana M., Cerqueira F. (2016). Personalized epilepsy seizure detection using random forest classification over one-dimension transformed EEG data.. Advances in Intelligent Systems Design and Application.

    doi:10.1007/978-3-319-53480-0_51