Article
Neurosciences
Vincenzo Catrambone, Gaetano Valenza
Summary: This study investigated whether microstates extend to the peripheral autonomic nerves and demonstrated the existence of microstates at the brain-heart axis level, which are associated with specific experimental conditions.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Sungu Nam, Kyoung-Mi Jang, Moonyoung Kwon, Hyun Kyoon Lim, Jaeseung Jeong
Summary: Virtual reality (VR) is a rapidly developing technology that simulates the real world. This study aims to analyze the brain states and functional connectivity related to cybersickness, a major problem for VR users. The results show that sensory conflict theory can explain the occurrence of cybersickness, and changes in brain dynamics support this theory.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Review
Psychiatry
Sushmit Das, Reza Zomorrodi, Peter G. G. Enticott, Melissa Kirkovski, Daniel M. M. Blumberger, Tarek K. K. Rajji, Pushpal Desarkar
Summary: Resting state electroencephalography (EEG) microstate analysis has revealed significant alterations in microstate parameters in individuals with Autism Spectrum Disorder (ASD) compared to typically developing populations. These parameters also change in relation to specific cognitive processes. However, different resting state EEG data acquisition (e.g., eyes closed or open) is likely to produce inconsistent results.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Neurosciences
Luke Tait, Jiaxiang Zhang
Summary: EEG microstate analysis is a method for studying brain states and transitions, but it is limited in its use at the sensor level. This study generalized the microstate methodology to source-reconstructed electrophysiological data and identified ten microstates with distinct spatial distributions. The study also found that source-level microstates were associated with different functional connectivity patterns.
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
Computer Science, Cybernetics
Juan Wang, Ru Peng, Quanying Liu, Hong Peng
Summary: In this study, a hybrid classifier based on EEG signals was proposed to objectively and effectively identify heroin-addicted individuals and healthy controls. The results showed that the classifier achieved high accuracy in distinguishing the two groups, and microstate features were identified as potential biomarkers for identifying heroin-addicted individuals.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Neurosciences
Ming Ke, Jianpan Li, Lubin Wang
Summary: This study investigated the effects of total sleep deprivation on brain activity using microstate analysis. The results suggest that sleep deprivation may lead to alterations in dynamic brain-state properties which could impact cognitive function.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Jianxiu Li, Nan Li, Xuexiao Shao, Junhao Chen, Yanrong Hao, Xiaowei Li, Bin Hu
Summary: Research suggests that the alterations in EEG microstate are evident in patients with major depressive disorder (MDD), with increased microstate C and decreased microstate D. Analysis reveals that the network of microstate C in MDD overlaps with the anterior cingulate cortex and left insula gyrus, while the main source of microstate D is in the orbital part of the inferior frontal gyrus. The reduced transition probability from C to D may indicate an imbalance between the microstate networks. Microstate parameters demonstrate good performance in identifying MDD as biomarkers of depression pathology.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Article
Psychiatry
Anton Iftimovici, Angela Marchi, Victor Ferat, Estelle Pruvost-Robieux, Eleonore Guinard, Valentine Morin, Yannis Elandaloussi, Arnaud D'Halluin, Marie-Odile Krebs, Boris Chaumette, Martine Gavaret
Summary: This study found that there was an increased imbalance between self-referential mode and decreased attentional mode in psychosis, mood, and autism spectrum disorders, indicating their potential as markers for these psychiatric disorders.
EUROPEAN PSYCHIATRY
(2023)
Article
Neurosciences
Marjorie Metzger, Stefan Dukic, Roisin McMackin, Eileen Giglia, Matthew Mitchell, Saroj Bista, Emmet Costello, Colm Peelo, Yasmine Tadjine, Vladyslav Sirenko, Serena Plaitano, Amina Coffey, Lara McManus, Adelais Farnell Sharp, Prabhav Mehra, Mark Heverin, Peter Bede, Muthuraman Muthuraman, Niall Pender, Orla Hardiman, Bahman Nasseroleslami
Summary: Recent EEG studies have found that analyzing EEG microstates can help differentiate ALS from control groups and detect signal abnormalities in ALS. The properties of microstates, such as coverage, occurrence, duration, and transition probabilities, show differences between ALS and control groups and correlate with functional decline in limbs and cognitive decline. Microstate characteristics also change over the course of the disease and may reflect abnormalities within sensory and higher-order networks. Furthermore, microstate properties can predict symptom progression in those with cognitive impairments.
HUMAN BRAIN MAPPING
(2023)
Article
Engineering, Biomedical
Adele Simon, Gerard Loquet, Jan Ostergaard, Soren Bech
Summary: It has been demonstrated that cortical recordings can be used to detect which speaker a person is attending in a cocktail party scenario. The stimulus reconstruction approach, based on linear regression, can reconstruct an approximation of the envelopes of the attended and unattended sounds from EEG data. Previous studies mostly focused on speech listening, and this study applied auditory attention detection (AAD) techniques to both speech and music listening with differences in reconstruction accuracy. The results highlighted the importance of training data for model construction.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Neurosciences
Shuang Qiu, Shengpei Wang, Weiwei Peng, Weibo Yi, Chuncheng Zhang, Jing Zhang, Huiguang He
Summary: Continuous theta-burst stimulation (cTBS) induces long-lasting inhibitory effects on cortical excitability and leads to improvements in motor function. Changes in microstate B were found to be associated with improvements in motor function, indicating a specific modulation by cTBS on motor network connectivity.
COGNITIVE NEURODYNAMICS
(2022)
Article
Clinical Neurology
Christian A. Mikutta, Robert T. Knight, Daniela Sammler, Thomas J. Mueller, Thomas Koenig
Summary: This study demonstrates the correlation between EEG microstates and the spectral activity of electocortical field potentials. It is the first study to show distinct activation/deactivation patterns of frequency-domain ECoG local field potentials associated with simultaneous EEG microstates.
Article
Clinical Neurology
Lorenzo Rocchi, Alessandro Di Santo, Katlyn Brown, Jaime Ibanez, Elias Casula, Vishal Rawji, Vincenzo Di Lazzaro, Giacomo Koch, John Rothwell
Summary: The study aims to measure the separate contributions of auditory and somatosensory stimulation caused by TMS, and assess their impact on the TEP waveform during motor cortex stimulation.
Auditory stimulation induces known responses in electrodes around the vertex, which can be suppressed by appropriate noise masking. Stimulation of the scalp alone generates nonspecific responses in central electrodes.
Article
Psychology, Multidisciplinary
Lucie Brechet, Christoph M. Michel
Summary: Conscious mental activity is discontinuous and can be parsed into a series of states of thoughts that manifest as discrete spatiotemporal patterns of global neuronal activity. EEG measurements with high temporal resolution reveal EEG microstates, which may represent the fundamental building blocks of consciousness.
FRONTIERS IN PSYCHOLOGY
(2022)
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)
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
Neurosciences
Jason Samaha, Michael X. Cohen
Summary: Oscillatory neural dynamics are non-stationary and require methods capable of quantifying time-resolved changes in oscillatory activity. Frequency sliding, a method introduced to estimate the instantaneous frequency of oscillatory activity, systematically underestimates the true frequency in the presence of 1/f activity, with the magnitude of underestimation correlated with the steepness of the slope. The impact of slope on frequency estimates interacts with oscillation amplitude and analysis parameters, suggesting careful consideration of these factors when interpreting estimates obtained via frequency sliding.
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)
Editorial Material
Neurosciences
Andre Rupp, Bernhard Englitz, Emili Balaguer-Ballester, Martin Andermann
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Biology
Thijs L. van der Plas, Jerome Tubiana, Guillaume Le Goc, Geoffrey Migault, Michael Kunst, Herwig Baier, Volker Bormuth, Bernhard Englitz, Georges Debregeas
Summary: In this study, the activity of 40,000 neurons in zebrafish larvae was recorded, and a data-driven generative model called the compositional Restricted Boltzmann Machine (cRBM) was able to accurately reproduce the mean activity and pairwise correlation statistics of their spontaneous activity. The cRBM model revealed the existence of 200 neural assemblies, which form successive brain states.
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
Multidisciplinary Sciences
Gabriel Oliveira-Stahl, Soha Farboud, Max L. Sterling, Jesse J. Heckman, Bram van Raalte, Dionne Lenferink, Amber van der Stam, Cleo J. L. M. Smeets, Simon E. Fisher, Bernhard Englitz
Summary: Mice emit a variety of vocalizations during social interactions, especially during sexually motivated dyadic interactions. Accurately attributing these vocalizations to their emitter is important for understanding social vocal behaviors. This study introduces a novel algorithm, SLIM, which improves the accuracy of sound localization and allows reliable assignment of 84.3% of all ultrasonic vocalizations in the dataset. Applying SLIM to courtship interactions between mice reveals that vocalization behavior is dependent on the spatial relation between the interacting mice and the genotype. These findings enhance our understanding of social vocal behaviors.
SCIENTIFIC REPORTS
(2023)
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
Multidisciplinary Sciences
Ana B. Lao-Rodriguez, Karol Przewrocki, David Perez-Gonzalez, Artoghrul Alishbayli, Evrim Yilmaz, Manuel S. Malmierca, Bernhard Englitz
Summary: Prediction is crucial for survival, and cognitive studies indicate that the brain can make multilevel predictions. However, neuronal evidence for predictions has been difficult to find due to the challenge of separating neural activity related to predictions from stimulus responses. In this study, we recorded single-neuron activity from auditory regions in both anesthetized and awake animals and observed reliable responses to omitted tones, providing empirical evidence for the implementation of predictive processes.
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.