Article
Multidisciplinary Sciences
Zachariah R. Cross, Alex Chatburn, Lee Melberzs, Philip Temby, Diane Pomeroy, Matthias Schlesewsky, Ina Bornkessel-Schlesewsky
Summary: This study investigated the neural basis of team cooperation by recording dual-EEG during realistic training scenarios. The results showed that resting-state EEG can predict performance and differentiate between team members. Additionally, task-related theta and alpha activity during easy training tasks were found to have a stronger predictive power for complex training performance.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Michelle Johannknecht, Christoph Kayser
Summary: Behavioural and electrophysiological studies suggest that the state of respiration influences brain activity and cognitive performance. This study investigates the prevalence and relevance of respiratory-behavioural relations in typical sensory-cognitive tasks. The results show that participants align their respiratory cycle to the experimental paradigm, and their reaction times consistently and significantly covary with the respiratory cycle. These findings highlight the prominent relation between respiration and sensory-cognitive function.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Melisa Menceloglu, Marcia Grabowecky, Satoru Suzuki
Summary: The study finds that strong synchronizations and desynchronizations in the brain tend to occur in small-scale and large-scale networks, which are spatially segregated and frequency specific. Phase realignments fine-tune the network configurations based on behavioral demands.
Article
Biology
Peijun Yuan, Ruichen Hu, Xue Zhang, Ying Wang, Yi Jiang
Summary: Temporal regularity plays a crucial role in guiding attention and coordinating behavior within a dynamic environment. Research suggests that higher-order regularity can serve as a temporal frame to recompose the dynamic profile of visual temporal attention. Neural entrainment is highlighted as a central mechanism for optimizing our conscious experience of the world in the time dimension.
Article
Biochemistry & Molecular Biology
Francesco Di Gregorio, Jelena Trajkovic, Cristina Roperti, Eleonora Marcantoni, Paolo Di Luzio, Alessio Avenanti, Gregor Thut, Vincenzo Romei
Summary: This study reveals the role of alpha oscillations in human conscious experience. Controlling alpha frequency with rTMS can influence perceptual accuracy, while controlling alpha amplitude can affect the ability to distinguish between correct and incorrect decisions in subjective confidence judgments.
Article
Neurosciences
Mate Gyurkovics, Grace M. Clements, Kathy A. Low, Monica Fabiani, Gabriele Gratton
Summary: Time-frequency analysis aims to isolate oscillatory activity from non-oscillatory activity in electrophysiological data. However, the level of 1/f activity and alpha power are not positively correlated within participants, indicating an additive model. It is recommended to test for differences in 1/f activity across groups or conditions and use multiple baseline correction strategies for validation.
Article
Behavioral Sciences
Serena Mastria, Sergio Agnoli, Marco Zanon, Selcuk Acar, Mark A. Runco, Giovanni Emanuele Corazza
Summary: In divergent thinking, EEG alpha synchronization in posterior parietal cortical regions of the right hemisphere indicates high internal processing demands, with switching between conceptual categories showing higher creativity and increased power in the lower alpha band over the left hemisphere compared to clustering in the same category.
Article
Multidisciplinary Sciences
Mohammad Bagher Khamechian, Mohammad Reza Daliri
Summary: Research suggests that frequency variations in brain oscillations play a crucial role in cortical excitability and behavior. By studying the intracortical electrophysiology of macaque monkeys, researchers found that the instantaneous frequency of theta-alpha oscillations is modulated in specific neurons whose receptive fields overlap with the cued stimulus location. This frequency modulation is causally correlated with MT excitability and is also related to the monkeys' reaction time. These findings highlight the importance of frequency modulation in regulating neural rhythms and behavior.
SCIENTIFIC REPORTS
(2022)
Review
Neurosciences
Linette Liqi Tan, Manfred Josef Oswald, Rohini Kuner
Summary: Pain is a complex perceptual phenomenon involving coordinated activity among local and distant brain networks. Brain oscillatory rhythms play a key role in pain networks by coordinating activity across local neuronal ensembles and anatomically distant brain areas. Therapeutic modulation of oscillatory rhythms has the potential to alleviate pain, with outstanding questions and challenges to be addressed in future research.
TRENDS IN NEUROSCIENCES
(2021)
Article
Biology
Caroline Di Bernardi Luft, Ioanna Zioga, Anastasios Giannopoulos, Gabriele Di Bona, Nicola Binetti, Andrea Civilini, Vito Latora, Isabelle Mareschal
Summary: Eye-contact affects synchronization between and within brains, with higher synchronization observed between friends and differences in synchronization between leaders and followers. Eye-contact is an inherently social signal.
COMMUNICATIONS BIOLOGY
(2022)
Article
Neurosciences
Lena Henke, Ashley G. Lewis, Lars Meyer
Summary: Neural oscillations are found to be synchronized with eye movements during naturalistic reading, indicating that speech and language processing impose preferred processing time scales onto reading, largely independent of actual physical rhythms in the stimulus.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Neurosciences
Andrew J. Quinn, Vitor Lopes-dos-Santos, Norden Huang, Wei-Kuang Liang, Chi-Hung Juan, Jia-Rong Yeh, Anna C. Nobre, David Dupret, Mark W. Woolrich
Summary: This study introduces an analytical framework for quantifying nonsinusoidal waveform shapes in neuronal oscillations. Using a masked empirical mode decomposition method, the study shows that instantaneous frequency accurately tracks nonsinusoidal shapes. The research also demonstrates how principal component analysis can identify theta cycle waveform motifs associated with cycle amplitude, duration, and animal movement speed.
JOURNAL OF NEUROPHYSIOLOGY
(2021)
Article
Engineering, Multidisciplinary
Zhaohui Zeng, Weihua Gui, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun
Summary: The study focuses on the frequency segmentation of cell voltage to design filters and establish sub-band instantaneous energy spectrum. The proposed frequency segmentation method is more sensitive and can provide more detailed online cell condition information, offering a reliable basis for monitoring and controlling decisions.
Article
Biology
Christian Beste, Alexander Muenchau, Christian Frings
Summary: Information processing in the brain is regulated by oscillatory activity, specifically in different frequency bands. The functional relevance of activity in these bands and their interrelation is uncertain. Researchers propose a cognitive-science theoretical framework to better understand and systematize neurophysiological research on human action control.
COMMUNICATIONS BIOLOGY
(2023)
Article
Biology
Seitaro Iwama, Takufumi Yanagisawa, Ryotaro Hirose, Junichi Ushiba
Summary: This study found that the stability of bimanual coordination is influenced by pre-movement neural oscillations in the brain. Lower pre-movement phase synchrony in the primary motor cortices and higher spectral power in the supplementary motor area are associated with longer duration of bimanual coordination.
COMMUNICATIONS BIOLOGY
(2022)
Article
Neurosciences
Teodoro Solis-Escalante, Mitchel Stokkermans, Michael X. Cohen, Vivian Weerdesteyn
Summary: This study investigated the cortical responses to balance perturbations and their relation to action monitoring, finding that cortical markers such as N1 potential and theta rhythm scale with perturbation intensity and stepping responses. The findings suggest that cortical control of balance may involve cognitive mechanisms that facilitate postural adjustments to maintain stability.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Biochemical Research Methods
Michael X. Cohen
Summary: The new method gedBounds accurately identifies empirical frequency boundaries through clustering analysis and can differentiate frequency components accurately in EEG data from Parkinson's patients and controls. It offers higher precision in defining subject-specific frequency boundaries compared to existing methods.
JOURNAL OF NEUROSCIENCE METHODS
(2021)
Article
Neurosciences
Joan Duprez, Mtichel Stokkermans, Linda Drijvers, Michael X. Cohen
Summary: This study investigated the synchronization between keyboard typing and midfrontal theta oscillations, finding rhythmicity around 6.5 Hz during typing and synchronization occurring at frequencies ranging from 4 to 15 Hz. However, synchronization frequency was idiosyncratic across participants and not specific to theta or midfrontal regions.
JOURNAL OF COGNITIVE NEUROSCIENCE
(2021)
Article
Neurosciences
Michael X. Cohen, Bernhard Englitz, Arthur S. C. Franca
Summary: Neural activity is coordinated across multiple spatial and temporal scales, with patterns of coordination implicated in both healthy and impaired cognitive operations. A constellation of multidimensional, inter-regional networks was identified, reproducible within animals across different recording sessions but varied across different animals. The theta band networks showed several prominent features, including equal contribution from all regions and strong inter-network synchronization.
Article
Neurosciences
A. Mishra, N. Marzban, M. X. Cohen, B. Englitz
Summary: The study on rats revealed stable neural microstates within and across brain regions, showing rhythmic patterns of coactivations which may serve as an indicator of inter-regional synchronization. These rhythmic coactivation patterns of microstates were modulated by behavioral states such as movement and exploration.
JOURNAL OF NEUROSCIENCE
(2021)
Meeting Abstract
Psychology, Biological
Michael X. Cohen
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
(2021)
Article
Biochemical Research Methods
Mark M. Dekker, Arthur S. C. Franca, Debabrata Panja, Michael X. Cohen
Summary: The paper introduces a method called PLC for identifying spatiotemporal patterns in neuroscience datasets. The experiment results show that the subspaces and clusters identified by PLC exhibit high consistency across different animals, and are modulated by animal behavior.
JOURNAL OF NEUROSCIENCE METHODS
(2021)
Article
Neurosciences
Michael X. Cohen
Summary: This paper presents a theoretical and practical introduction to Generalized Eigendecomposition (GED), which is used for dimension reduction and source separation in multichannel signal processing. GED is fast and easy to compute, performs well in simulated and real data, and is easily adaptable to a variety of specific research goals.
Article
Neurosciences
Adam J. O. Dede, Ashutosh Mishra, Nader Marzban, Robert Reichert, Paul M. Anderson, Michael X. Cohen
Summary: It is increasingly recognized that networks of brain areas work together to accomplish computational goals. In this study, high-density array data from the prefrontal cortex, striatum, and ventral tegmental area of male rats were analyzed to identify stable and frequency-specific signal patterns that change with behavioral states. These findings demonstrate the brain's ability to reorganize functionally during different behavioral states.
JOURNAL OF NEUROPHYSIOLOGY
(2022)
Article
Psychology, Biological
Andreas Keil, Edward M. Bernat, Michael X. Cohen, Mingzhou Ding, Monica Fabiani, Gabriele Gratton, Emily S. Kappenman, Eric Maris, Kyle E. Mathewson, Richard T. Ward, Nathan Weisz
Summary: This report provides recommendations for the use of neural time series analysis methods, with a focus on frequency domain and time-frequency analyses. It also offers publication guidelines to promote scientific rigor and facilitate communication.
Article
Neurosciences
Mitchel Stokkermans, Teodoro Solis-Escalante, Michael X. Cohen, Vivian Weerdesteyn
Summary: Stepping is a common strategy for recovering postural stability and maintaining balance. This study investigated the role of cortical midfrontal theta dynamics in balance monitoring during different standing postures. The results showed that theta power was modulated by postural threat and perturbation intensity. Understanding cortical mechanisms of balance control is crucial for studying balance impairments related to aging and neurological conditions.
Article
Multidisciplinary Sciences
Mitchel Stokkermans, Wouter Staring, Michael X. Cohen, Teodoro Solis-Escalante, Vivian Weerdesteyn
Summary: This study investigated the role of cortical midfrontal theta dynamics in balance recovery following reactive stepping responses. The results showed an increase in theta power after foot strike, but contrary to expectations, this increase was positively correlated with stability margins at foot strike, suggesting a different role of theta dynamics in foot strike related to performance monitoring of the balance response.
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Vignesh Muralidharan, Adam R. Aron, Michael X. Cohen, Robert Schmidt
Summary: Midfrontal theta increases when conflicts are successfully resolved. Its temporal nature as a transient oscillation or event has been investigated using advanced spatiotemporal techniques. Single-trial analyses reveal that theta events can be categorized into distinct modes based on their timing in relation to task events, indicating their involvement in conflict-related processing and error correction.
Article
Clinical Neurology
Mitchel Stokkermans, Teodoro Solis-Escalante, Michael X. Cohen, Vivian Weerdesteyn
Summary: This study investigated the cortico-muscular coupling (CMC) between the cerebral cortex and leg muscles during reactive stepping tasks. The results showed a significant coupling between the cortex and leg muscles during the balance response, but higher levels of CMC did not facilitate leg-specific muscle activity. These findings are important for understanding the underlying mechanisms of balance control impairments.
FRONTIERS IN NEUROLOGY
(2023)
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.