Article
Neurosciences
Marlene Poncet, Justin M. M. Ales
Summary: In this study, a new method based on EEG topographical templates was introduced to estimate the contribution of different visual areas to observed EEG activity. The method is cost-effective, can be applied to any EEG dataset, and provides easily interpretable and comparable results.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Karolina Armonaite, Massimo Bertoli, Luca Paulon, Eugenia Gianni, Marco Balsi, Livio Conti, Franca Tecchio
Summary: Neurodynamics describes the time course of neuronal activity in the brain network, and this study investigates the specific spectral features and fractal dimensions of primary motor, somatosensory, and auditory cortices using intracranial recordings. The findings suggest that neurodynamics properties can be used to analyze the structure and functionality of the brain.
Article
Neurosciences
Elia Valentini, Sebastian Halder, Daisy McInnerney, Jason Cooke, Istvan L. Gyimes, Vincenzo Romei
Summary: Recent research suggests that the slowing of individual alpha frequency (IAF) could be an objective marker for pain. However, it is unclear if this research adequately addresses the specificity and sensitivity requirements of IAF for the experience of pain. This study sought to develop a robust methodology to assess the specificity of the relationship between alpha oscillations and acute tonic pain in healthy individuals. The findings reveal limitations in the specificity of IAF for pain and highlight the importance of a robust methodological and analytical design to understand the role of alpha oscillations in affective processing.
Article
Green & Sustainable Science & Technology
George N. Zaimes, Valasia Iakovoglou
Summary: This study examines the assessment tools and results of riparian areas in Greece, finding that vegetation is more important than stream flow, visual protocols and GIS are effective for preliminary assessments, and bioindicators are more cost-effective for monitoring.
Article
Neurosciences
Heiko Stecher, Annika Notbohm, Florian H. Kasten, Christoph S. Herrmann
Summary: Transcranial alternating current stimulation is an effective tool for exploring brain oscillations, with a weak alternating current applied between electrodes on the scalp to modulate targeted brain oscillations. While a fixed stimulation frequency is commonly used, this study introduced an intermittent closed loop stimulation protocol to adjust the stimulation frequency based on ongoing brain rhythms. Contrary to expectations, the results showed that only a fixed stimulation protocol led to a persistent increase in post-stimulation alpha power, highlighting the benefit of constant stimulation with a fixed frequency for producing persistent synaptic changes.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Neurosciences
Jelena Trajkovic, Francesco Di Gregorio, Alessio Avenanti, Gregor Thut, Vincenzo Romei
Summary: The study investigated the effects of visuospatial attention on behavior and neural mechanisms. It was found that informative cues improved visual perception, while noninformative cues did not. Recent studies challenged the idea that lateralized a amplitude modulation accounted for the perceptual gain, suggesting instead that prestimulus a amplitude and frequency influenced subjective appreciation and objective accuracy, respectively. The study further explored the role of predictive cues in attention control and found that they not only modulated preparatory a amplitude but also a frequency in a retinotopic manner. The cues had significant impacts on subjective and objective performance measures.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Neurosciences
Valeria Mariani, Simona Balestrini, Francesca Gozzo, Veronica Pelliccia, Roberto Mai, Stefano Francione, Ivana Sartori, Francesco Cardinale, Laura Tassi
Summary: Through intracerebral electrical stimulations, the functional anatomy of the anteromesial portion of the temporal lobe and its involvement in epilepsy were explored. High-frequency stimulations were more likely to evoke electroclinical manifestations, while multimodal symptoms were associated with EEG electrical modification. Visual symptoms were mainly evoked by stimulation of the hippocampus and parahippocampal gyrus without EEG changes.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Tzvetan Popov, Bart Gips, Nathan Weisz, Ole Jensen
Summary: This study demonstrates the similarity in mechanisms between visual and auditory spatial attention in the brain, using alpha power modulation for top-down suppression of distractors and its close relationship with oculomotor action.
Article
Neurosciences
Helen Wang, Oyshi Dey, Willian N. Lagos, Edward M. Callaway
Summary: The mouse visual system consists of various cortical areas specialized for different visual features and tasks. Previous studies mainly focused on the tuning preferences of superficial layer neurons, while fewer studies investigated the deep-layer neurons in these areas. In this study, the researchers used electrophysiology and calcium imaging to characterize the tuning properties of different layer 5 cell classes in these areas. They found that deep-layer neurons, similar to superficial layer neurons, are specialized for different spatial and temporal frequencies.
JOURNAL OF COMPARATIVE NEUROLOGY
(2022)
Article
Biology
Andrea Alamia, Lucie Terral, Malo Renaud D'ambra, Rufin VanRullen, Jonas Obleser
Summary: Previous research has linked alpha-band oscillations with inhibitory functions, but contradictory findings suggest different underlying processes. Using traveling wave analysis, the present study reveals two distinct alpha-band oscillations propagating in opposite directions. These findings highlight the importance of considering oscillations as traveling waves when studying their functional role.
Article
Neurosciences
Edward F. Ester, Paige Pytel
Summary: Assigning different levels of priority to working memory (WM) content influences the quality and speed of neural representations, but not the accuracy of decoding.
Article
Psychology, Multidisciplinary
Guy Cheron, Dominique Ristori, Mathieu Petieau, Cedric Simar, David Zarka, Ana-Maria Cebolla
Summary: The study analyzed the effects of pulsed-wave light therapy and guided relaxation on brain activity. It found that the pulsed-wave light stimulation induced specific event-related potentials and synchronized oscillations. The power of alpha and theta oscillations significantly increased during the therapy session. These results suggest that pulsed-wave light therapy and guided relaxation could produce measurable electrical brain changes.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Mathematics
Robiul Islam, Andrey Andreev, Natalia N. Shusharina, Alexander E. Hramov
Summary: The aim of this study is to find a good mathematical model for classifying brain states during visual perception, focusing on interpretability of the results. Deep learning models with different activation functions and optimization methods are used and compared to find the best model for a dataset consisting of 31 EEG channels trials. The SHAP library technique is employed to estimate the influence of different features on the classification process and enhance the interpretability of the method. The results show that Adagrad is the best optimization method, while FTRL is the worst. Additionally, it is found that only Adagrad performs well for both linear and tangent models. These findings are valuable for training brain-computer interface (BCI) systems using EEG data.
Article
Neurosciences
Eva Gjorgieva, Ricardo Morales-Torres, Roberto Cabeza, Marty G. Woldorff
Summary: Using electroencephalography, researchers investigated the neural processes associated with the retrieval of visual mental images. They found that higher vividness of mental images resulted in faster retrieval times and higher confidence ratings in memory judgment.
Article
Psychology, Biological
Diheng Zhang, John J. B. Allen
Summary: This study compared the reliability and validity of the nomothetic approach and individualized alpha frequency (IAF) approaches in assessing resting frontal alpha asymmetry (FAA). Results showed that FAA calculated using these three methods were highly correlated at all frontal regions, and there were no substantial differences in stability and psychometric performance across the approaches. The study supports the overall reliability and validity of the IAF approaches in assessing resting FAA but does not find any incremental advantage over the nomothetic approach. Guidelines for selecting methods in future research are provided.
Article
Behavioral Sciences
Agnes Trebuchon, Isabelle Lambert, Bernard Guisiano, Aileen McGonigal, Charline Perot, Francesca Bonini, Romain Carron, Catherine Liegeois-Chauvel, Patrick Chauvel, Fabrice Bartolomei
EPILEPSY & BEHAVIOR
(2018)
Article
Biochemical Research Methods
Julie Tremblay, Eduardo Martinez-Montes, Phetsamone Vannasing, Dang K. Nguyen, Mohamad Sawan, Franco Lepore, Anne Gallagher
BIOMEDICAL OPTICS EXPRESS
(2018)
Article
Mathematical & Computational Biology
Amandine Grappe, Sridevi V. Sarma, Pierre Sacre, Jorge Gonzalez-Martinez, Catherine Liegeois-Chauvel, F. -Xavier Alario
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
(2019)
Article
Clinical Neurology
Julia Scholly, Francesca Pizzo, Alexander Timofeev, Maria Paola Valenti-Hirsch, Irene Ollivier, Francois Proust, Nicolas Roehri, Christian-George Benar, Edouard Hirsch, Fabrice Bartolomei
Article
Multidisciplinary Sciences
Pavel Prado-Gutierrez, Eduardo Martinez-Montes, Alejandro Weinstein, Matias Zanartu
Article
Multidisciplinary Sciences
Pavel Prado-Gutierrez, Monica Otero, Eduardo Martinez-Montes, Alejandro Weinstein, Maria-Jose Escobar, Wael El-Deredy, Mattes Zanartu
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
(2019)
Review
Engineering, Biomedical
Bin He, Laura Astolfi, Pedro Antonio Valdes-Sosa, Daniele Marinazzo, Satu O. Palva, Christian-George Benar, Christoph M. Michel, Thomas Koenig
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2019)
Article
Mathematical & Computational Biology
C. . G. Benar, C. Grova, V. K. Jirsa, J. M. Lina
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
(2019)
Article
Computer Science, Artificial Intelligence
Julio A. Peraza-Goicolea, Eduardo Martinez-Montes, Eduardo Aubert, Pedro A. Valdes-Hernandez, Roberto Mulet
Article
Biochemistry & Molecular Biology
Jeremy Giroud, Agnes Trebuchon, Daniele Schon, Patrick Marquis, Catherine Liegeois-Chauvel, David Poeppel, Benjamin Morillon
Article
Neurosciences
Stefania Coelli, Samuel Medina Villalon, Francesca Bonini, Jayabal Velmurugan, Victor J. Lopez-Madrona, Romain Carron, Fabrice Bartolomei, Jean-Michel Badier, Christian-G. Benar
Summary: Magnetoencephalography (MEG) is a powerful tool for estimating brain connectivity, and it has been particularly useful in epilepsy research. This study compared the performance of independent component analysis (ICA) and linearly constrained minimum-variance beamformer (LCMV-BF) for characterizing interictal epileptic activity and their dynamic connectivity. The results showed that ICA and LCMV-BF have complementary qualities in retrieving the dynamics of interictal sources and their network interactions.
Article
Neurosciences
Jayabal Velmurugan, Jean-Michel Badier, Francesca Pizzo, Samuel Medina Villalon, Christos Papageorgakis, Victor Lopez-Madrona, Aude Jegou, Romain Carron, Fabrice Bartolomei, Christian-G Benar
Summary: This study presents a strategy for non-invasively retrieving the constituents of the interictal network using a combination of MEG, spatial filtering, and independent component analysis. The results show that MEG has high sensitivity and specificity in reconstructing epileptic sources and correlates well with SEEG traces.
Article
Clinical Neurology
Sara Simula, Elodie Garnier, Margherita Contento, Francesca Pizzo, Julia Makhalova, Stanislas Lagarde, Christian-George Benar, Fabrice Bartolomei
Summary: Stereoelectroencephalography-guided radiofrequency thermocoagulation (SEEG-guided RF-TC) aims to reduce seizure frequency by modifying epileptogenic networks through local thermocoagulative lesions. This study evaluated the changes in brain activity after RF-TC using SEEG recordings and found significant differences in both local and network-related (FC) changes between responders and nonresponders.
Proceedings Paper
Engineering, Biomedical
Isabel Arnaiz, Eduardo Martinez-Montes, Alejandro Torres-Fortuny
VIII LATIN AMERICAN CONFERENCE ON BIOMEDICAL ENGINEERING AND XLII NATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING
(2020)
Article
Psychology, Experimental
Nancy Estevez-Perez, Danilka Castro-Canizares, Eduardo Martinez-Montes, Vivian Reigosa-Crespo
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.