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1. A Comparison of Non-negative Tucker Decomposition and Parallel Factor Analysis for Identification and Measurement of Human EEG Rhythms

Author

Roman Rosipal, Zuzana Rošt’áková, Saman Seifpour, and Leonardo Jose Trejo

Subjects
sensorimotor oscillatory brain activity, 0303 health sciences, Computer science, business.industry, Biomedical Engineering, Pattern recognition, parallel factor analysis, multichannel electroencephalogram, tucker model, 03 medical and health sciences, Identification (information), 0302 clinical medicine, Control and Systems Engineering, QA1-939, Eeg rhythms, Artificial intelligence, business, Instrumentation, 030217 neurology & neurosurgery, Mathematics, 030304 developmental biology, Tucker decomposition
Abstract

Analysis of changes in the brain neural electrical activity measured by the electroencephalogram (EEG) plays a crucial role in the area of brain disorder diagnostics. The elementary latent sources of the brain neural activity can be extracted by a tensor decomposition of continuously recorded multichannel EEG. Parallel factor analysis (PARAFAC) is a powerful approach for this purpose. However, the assumption of the same number of factors in each dimension of the PARAFAC model may be restrictive when applied to EEG data. In this article we discuss the potential benefits of an alternative tensor decomposition method – the Tucker model. We analyze situations, where in comparison to the PARAFAC solution, the Tucker model provides a more parsimonious representation of the EEG data decomposition. We show that this more parsimonious representation of EEG is achieved without reducing the ability to explain variance. We analyze EEG records of two patients after ischemic stroke and we focus on the extraction of specific sensorimotor oscillatory sources associated with motor imagery during neurorehabilitation training. Both models provided consistent results. The advantage of the Tucker model was a compact structure with only two spatial signatures reflecting the expected lateralized activation of the detected subject-specific sensorimotor rhythms.

Published
2020

2. Effects of mirror-box therapy on modulation of sensorimotor EEG oscillatory rhythms: a single-case longitudinal study

Author

Barbora Cimrová, Leonardo Jose Trejo, Igor Farkaš, Peter Barančok, Roman Rosipal, and Natália Porubcová

Subjects
Male, 030506 rehabilitation, Longitudinal study, Physiology, Movement, medicine.medical_treatment, Hemiplegia, Electroencephalography, Biofeedback, 03 medical and health sciences, 0302 clinical medicine, Rhythm, Neuroplasticity, medicine, Humans, Mirror box, Stroke, medicine.diagnostic_test, business.industry, General Neuroscience, Stroke Rehabilitation, Middle Aged, medicine.disease, Brain Waves, Exercise Therapy, Motor Skills, Modulation, Sensorimotor Cortex, 0305 other medical science, business, Neuroscience, 030217 neurology & neurosurgery
Abstract

We provide direct electrophysiological evidence that mirror therapy (MT) can change brain activity and aid in the recovery of motor function after stroke. In this longitudinal single-case study, the subject was a 58-yr-old man with right-hand hemiplegia due to ischemic stroke. Over a 9-mo period we treated him with MT twice a week and measured electroencephalograms (EEG) before, during, and after each therapy session. Using advanced signal processing methods, we identified five distinct movement-related oscillatory EEG components: one slow component designated as mu rhythm and four faster components designated as sensorimotor rhythms. Results show that MT produced long-term changes of two oscillatory EEG components including the mu rhythm, which is a well-documented correlate of voluntary movement in the frequency range of 7.5–12 Hz. Specifically, MT was significantly associated with an increase in the power of mu rhythm recorded over both hemispheres and a decrease in the power of one sensorimotor component recorded over the affected hemisphere. To obtain robust, repeatable individual measures of EEG components suitable for longitudinal study, we used irregular-resampling autospectral analysis to separate fractal and oscillatory components in the EEG power spectrum and three-way parallel factor analysis to isolate oscillatory EEG components and track their activations over time. The rhythms were identified over individual days of MT training and were clearly related to the periods of event-related desynchronization and synchronization (rest, observe, and move) during MT. Our results are consistent with a model in which MT promotes recovery of motor function by altering neural activity associated with voluntary movement. NEW & NOTEWORTHY We provide novel evidence that mirror therapy (MT), which helps in the recovery of motor function after a stroke, is also associated with long-lasting changes in brain electrical activity. Using precise measurements of oscillatory EEG components over a 9-mo period in a victim of ischemic stroke, we showed that MT produced long-term increases in the mu rhythm recorded over both hemispheres and a decrease in a sensorimotor EEG component recorded over the affected hemisphere.

Published
2019
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3. Tensor Decomposition of Human Oscillatory Brain Activity in Frequency, Space and Time

Author

Roman Rosipal, Leonardo Jose Trejo, and Zuzana Rošťáková

Subjects
Eeg activity, Computer science, business.industry, Tensor decomposition, Frequency space, Pattern recognition, Artificial intelligence, business
Abstract

Many brain processes in health and disease are associated with modulation of narrowband brain oscillations (NBOs), which exhibit specific frequency spectra and scalp topography. Isolating and tracking NBOs over time using algorithms is useful in domains such as brain-computer interfaces or when measuring the EEG effects of experimental manipulations. Previously, we successfully applied modified tensor methods for identifying and tracking NBO activity over time or conditions. We introduced frequency and spatial constraints that greatly improved their physiological plausibility. In this paper we rigorously demonstrate the power and precision of tensor methods to separate, isolate and track NBOs using sources simulated with forward models. This allows us to control the attributes of NBOs and validate tensor solutions. We find that tensor methods can accurately identify, separate and track NBOs over time, using realistic sources either alone or in combination, and perform better than another well-known method for NBO estimation.

Published
2021
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4. Tensor decomposition of human narrowband oscillatory brain activity in frequency, space and time

Author

Roman, Rosipal, Zuzana, Rošťáková, and Leonardo Jose, Trejo

Subjects
Neuropsychology and Physiological Psychology, General Neuroscience, Brain, Humans, Electroencephalography, Algorithms
Abstract

Many brain processes in health and disease are associated with modulation of narrowband brain oscillations (NBOs) in the scalp-recorded EEG, which exhibit specific frequency spectra and scalp topography. Isolating and tracking NBOs over time using algorithms is useful in domains such as brain-computer interfaces or when measuring the EEG effects of experimental manipulations. Previously, we successfully applied modified tensor methods for identifying and tracking NBO activity over time or conditions. We introduced frequency and spatial constraints that greatly improved their physiological plausibility. In this paper we rigorously demonstrate the power and precision of tensor methods to separate, isolate and track NBOs using sources simulated with an anatomical forward model. This allows us to control the attributes of NBOs and validate tensor solutions. We find that tensor methods can accurately identify, separate and track NBOs over time, using realistic sources either alone or in combination, and compare favorably to well-known spatio-spectral decomposition methods for NBO estimation.

Published
2022
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5. 19th biennial IPEG Meeting

Author

Sonja Simpraga, Rosanna Tortelli, Jill C. Richardson, Bernhard Mueller, Berrie J.L. Gerrits, Marieke Jepma, Silvia Armenise, Martin F.J. Perescis, Inga Griskova-Bulanova, C. Wintmolders, Haitham S. Mohammed, J. Leon Kenemans, Matteo Demuru, Paolo Ranzi, Jakub Korcak, J. A. Kemp, Georg Gruber, T. A. Iseger, N. Marzano, Giuseppe Bertini, Caitlyn Kruiper, Anke Sambeth, Ronald J. Swatzyna, Iris Schutte, Robert A. Comley, Frans C. T. van der Helm, Juergen Dukart, Robin L. Carhart-Harris, Flavio Nobili, Martin Brunovsky, Maria Vasileva, José Carlos Millán-Calenti, Kelly Holt, Jan A. Freund, S. Deepeshwar, Alexandra Kirsten, Yasser A. Khadrawy, Daniel Brandeis, Martin Bareš, Roshan Cools, Eduardo Ekman Schenberg, Sigita Melynyte, Antonio Ivano Triggiani, Ashley Baddeley, Karlijn I. van Aerde, Gerhard Trube, Leonardo Jose Trejo, Stephane Nave, D. A. Jackson, Tomáš Páleníček, Raffaella Franciotti, A. E. Maqueda, Laura Bonanni, E. Saifutdinova, Rahul Chaudhary, Natasja de Bruin, Christoph Mulert, Gilles van Luijtelaar, Hans-Christian Pape, Jeannette Hofmeijer, Martin Brunovský, Marijtje L.A. Jongsma, L. Raeymaekers, Boris Ferger, Donna Palmer, Robert Aidelbaum, Nash N. Boutros, Hanneke E. M. den Ouden, Genevieve N. Izzo, Jessica I. Määttä, Lucilla Parnetti, Gerald P. Kozlowski, Arjan Hillebrand, C. Bouyssières, Philip L.C. van den Broek, David J. Nutt, Jay D. Tarnow, Vlastimil Koudelka, Paolo Maria Rossini, Anna-Lena Dohrmann, Peter Veselcic, Asbjørn Mohr Drewes, Antonio Giannini, Ole Jensen, Christiane M. Thiel, Grazia Buenza, Tomas Novak, Chris G. Kruse, Alexander Sumich, Gaetano Scianatico, Jan-Mathijs Schoffelen, V. Duveau, K. Tahon, Lana Donse, Vladimir Krajca, Pierre Payoux, Vaclava Sedlamyerova, Else A. Tolner, M. Arns, Jennifer Mollon, Michael Derks, Nazimah Hamid, Andrea Szabo, Loreto Gesualdo, Shelly M. Menolascino, M. A. Mañanas, Thorsten Mikoteit, D. Balschun, Mitchell Belgin, Giacomo Tattoli, Cestmir Vejmola, Bob Oranje, Barbora Kohutova, Giovanni B. Frisoni, Iris E. C. Sommer, Dylan Smith, Rosa van Mourik, Michel D. Ferrari, Christian Zöllner, Maria-Clemancia Hernandez, Nick Seneca, James Miller, Martijn Arns, Timothy K. Murphy, Giancarlo Logroscino, Annika Lüttjohann, Noreen Rahmani, Christopher Timmermann, Martien J H Kas, Grace Y. Wang, Klaus Linkenkaer-Hansen, F. Nobili, Tieme W. P. Janssen, R. Biermans, Fernando H. Lopes da Silva, Bernd Saletu, Brian A. Coffman, Ileana L. Hanganu-Opatz, Sian Lennon-Chrimes, Madelon A. Vollebregt, D. Moechars, Brittany Duncan, Joerg F. Hipp, Y. Roche, Valentina Cardinali, Neveen A. Noor, Christoph Wandel, S. Romero, Anna Bravermanová, J. Koprivova, Gerda M. Saletu-Zyhlarz, Nicola Walter Falasca, Marco Onofrj, Jaap Oosterlaan, J. L. Kenemans, J. Prasko, Jürgen Gallinat, C. Roucard, Vaclava Piorecka, Karsten Wicke, Jennifer C. Swart, Peterjan Ris, Heba S. Aboul Ezz, M Valle, Jesper F. Bastlund, Ivo Heitland, Paul B. Fitzgerald, Katleen Geladé, W. H. Drinkenburg, Lillian E. Fisher, Lars Eichler, J. Riba, Hélène Brisebois, Régis Bordet, Robert Leech, Roberta Lizio, Cornelis J. Stam, M. Avinash, N. K. Manjunath, Parissa Azadi, Raffaele Ferri, Cyril Höschl, Susanna Cordone, Sander Nieuwenhuis, Gregor Leicht, Alexandra J. Roark, Esben Bolvig Mark, Jakub Polak, Alexander T. Sack, Iris Eichler, Heidi Haavik, Athanasios Maras, Dirk J. Heslenfeld, Hans-Peter Landolt, A. Bottelbergs, Galina Surova, Ross Apparies, Lin Tiffany, Angelisa Frasca, Ida A. Nissen, Dario Arnaldi, Alessandro Bertolino, Wilhelmus Drinkenburg, Philip Scheltens, Cristina Bagnoli, Matthijs J.L. Perenboom, Dane M. Chetkovich, Thomas Budde, Annette Beatrix Brühl, Wilfried Dimpfel, Yuan Yang, Jonathan Kelley, Hervé Caci, Christoph Herrmann, Olivier Blin, Robert P. Turner, Georg Dorffner, Michaela Viktorinova, Igor Timofeev, Stephanie Thiebes, Dina Lelic, K. Van Kolen, P. F. Fabene, Frédéric Knoflach, S. Jacob, John Wallerius, Claudio Del Percio, Marina Bentivoglio, Mendel Kaelen, Peter Anderer, Imran Khan Niazi, Iman M. Mourad, S. Barker, Muhammad Samran Navid, Giuseppe Noce, Dean F. Salisbury, Huibert D. Mansvelder, Premysl Vlcek, Marek Adamczyk, Emmanouil Spanakis, Vitoantonio Bevilacqua, Orietta Barulli, Roy P. C. Kessels, Axel Steiger, Darren Bentley, Antonio Brunetti, Clementina M. van Rijn, Nikita van der Vinne, Evian Gordon, Nash Boutros, Lukáš Kadeřábek, Brendan Parsons, A. Ahnaou, Tilman Hensch, Christian Sander, Torsten Meyer, Barbora Cimrová, Marleen C. Tjepkema-Cloostermans, Molly Hyde, Robert Oostenveld, Liesbeth Heijink, Eléonore Czarik, Paolo F. Fabene, Jean-Paul Laurent, Stig Hollup, Leon Kenemans, Ana Buján, Vadim Ilivitsky, Danielle Impey, Alfred C. Schouten, Claudio Babiloni, M. Pawlowski, Ricardo Alvarez-Jimenez, Joop M. A. van Gerven, Filip Tylš, Jan van Egmond, Saskia Steinmann, Caroline Dupont, B. Mandé-Nidergang, Sebastian Olbrich, Geert Jan Groeneveld, H. Huysmans, Kastytis Dapsys, P. Sos, M. Raszka, C. Walsh, Justin Piché, Giovanni Frisoni, Silvia Parapatics, Annika Lütjohann, Simon-Shlomo Poil, Erin K. MacInerney, T. Nekovarova, Jana Nöldeke, Michel J.A.M. van Putten, Ilse E. C. W. van Straaten, Suresh D. Muthukumaraswamy, Mehrnoush Zobeiri, Magda Tsolaki, Ulrich Hegerl, Jaap C. Reijneveld, Patrizia Voehringer, N. V. Manyakov, Sandra K. Loo, Patrick Meuth, Bettina Clausen, Roman Rosipal, David Bartrés Faz, Nenad Polomac, Renata Androvicova, Pantaleo Spagnolo, Pilar Garcés, Andrea Soricelli, Amanda Feilding, R. Maury, Aleksandras Voicikas, Stjepan Curic, Verner Knott, Tabitha A. Iseger, Jiri Horacek, Susanna Lopez, Joelle Choueiry, Gianluigi Forloni, Andrew WThomas, Lyudmila V. Vinogradova, Alida A. Gouw, Sarah M. Haigh, and B. Pouyatos

Subjects
medicine.medical_specialty, 05 social sciences, Clinical Neurology, Neuropsychology, 050105 experimental psychology, 03 medical and health sciences, Psychiatry and Mental health, 0302 clinical medicine, Physiology (medical), Family medicine, medicine, 0501 psychology and cognitive sciences, Psychology, 030217 neurology & neurosurgery
Published
2016
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