Article
Clinical Neurology
Margherita Carboni, Denis Brunet, Martin Seeber, Christoph M. Michel, Serge Vulliemoz, Bernd J. Vorderwuelbecke
Summary: The study compared 6 linear distributed inverse solutions for EEG source localization, finding that LORETA and LAURA provided the highest spatial accuracy both clinically and in simulated data, as well as exhibiting high robustness towards noise. This suggests that LORETA and LAURA may be preferred for interictal EEG source localization among the tested algorithms.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Clinical Neurology
Mariano Fernandez-Corazza, Rui Feng, Chengxin Ma, Jie Hu, Li Pan, Phan Luu, Don Tucker
Summary: The study compared the performance of MSP, sLORETA, and cMEM methods for epileptic source estimation using high-resolution electrical head models. Results showed that MSP performed similarly to sLORETA but slightly better than cMEM in terms of success rate. MSP and cMEM methods were more localized and did not require arbitrary selection of hyperparameters, making them better than sLORETA in terms of spatial dispersion. The three methods are complementary and can be used together in clinical practice.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Neurosciences
Piotr Schneider, Grzegorz M. Wojcik, Andrzej Kawiak, Lukasz Kwasniewicz, Adam Wierzbicki
Summary: Understanding how humans evaluate credibility is crucial in the era of fake news. This study utilized EEG measurements to capture brain activity during credibility evaluations and developed models to predict source credibility and message credibility evaluations.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Younes Sadat-Nejad, Soosan Beheshti
Summary: The paper introduces a method called efficient high-resolution sLORETA (EHR-sLORETA) for automated denoising in EEG source localization. The proposed method aims to minimize the error between the denoised source and the source estimates. Through evaluation with synthetic and real EEG data, EHR-sLORETA shows advantages in accuracy and robustness over existing methods.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Chemistry, Analytical
Anna Zulauf-Czaja, Bethel Osuagwu, Aleksandra Vuckovic
Summary: The study aimed to test the feasibility of visual-neurofeedback-guided motor imagery of the dominant leg using real-time sLORETA source analysis from 44 EEG channels. The results showed that using neurofeedback during motor imagery resulted in activity similar to motor execution. The findings of this study are of importance for early rehabilitation of stroke patients.
Article
Geosciences, Multidisciplinary
Ugo Nanni, Philippe Roux, Florent Gimbert, Albanne Lecointre
Summary: Dense seismic array monitoring with advanced processing enables the retrieval and location of various seismic sources with unprecedented resolution and spatial coverage. Using a single scheme based on gradient-descent optimization and evaluating different levels of phase coherence, our methodology goes beyond classical localization algorithms by gathering different types of sources. By applying this methodology to an Alpine glacier, we demonstrate the ability to retrieve the dynamics of active crevasses, identify diffracting materials in transverse crevasses, and analyze the time evolution of the subglacial hydrology system.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Clinical Neurology
Graham A. McLeod, Parandoush Abbasian, Darion Toutant, Amirhossein Ghassemi, Tyler Duke, Conrad Rycyk, Demitre Serletis, Zahra Moussavi, Marcus C. Ng
Summary: This study compared epileptic source localizations from different sleep-wake states and found that REM sleep is best suited for identifying potential epileptic sources.
Article
Clinical Neurology
Michael Scherg, Reinhard Schulz, Patrick Berg, Jae-Hyun Cho, Harald Bornfleth, Mustafa A. Kural, Friedrich G. Woermann, Christian G. Bien, Sandor Beniczky
Summary: The study validated the accuracy of relative source power imaging of extratemporal interictal epileptiform discharges in patients, showing that RSP maps provide a faster, more intuitive, and more accurate source estimation compared to conventional methods. In surgical cases, the results demonstrated high sensitivity and moderate specificity, with no significant differences between the three source imaging methods.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Clinical Neurology
Joshua M. Diamond, Benjamin E. Diamond, Michael S. Trotta, Kate Dembny, Sara K. Inati, Kareem A. Zaghloul
Summary: Our study suggests that ictal activity observed by intracranial EEG may reflect propagated activity from a relatively focal seizure source, even during later time points when ictal activity is more widespread. By analyzing the time differences between ictal discharges in adjacent electrodes, we were able to estimate the location of the hypothesized focal source, which was found to closely match the clinically and neurophysiologically determined brain region giving rise to seizures. Furthermore, we found that this focal source is a dynamic entity that moves and evolves over the time course of a seizure, challenging the traditional conceptualization of the seizure source.
Article
Computer Science, Artificial Intelligence
Shiva Asadzadeh, Tohid Yousefi Rezaii, Soosan Beheshti, Saeed Meshgini
Summary: Automated analysis and recognition of human emotion is important for human-computer interface development. EEG signals with high temporal resolution enable the study of emotional brain activities, but the low spatial resolution in EEG recordings is a major obstacle. This paper proposes a method that uses graph neural networks to recognize emotions based on EEG data.
COGNITIVE COMPUTATION
(2023)
Article
Engineering, Biomedical
Ashkan Oliaiee, Sepideh Hajipour Sardouie, Mohammad Bagher Shamsollahi
Summary: This paper proposes a method for combining source localization results from different modalities in pre-surgical evaluations for patients with neurological disorders. By integrating results using Dempster's rule of combination, the combined modalities show improved accuracy in brain source localization, even in cases of poor individual method performance.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Engineering, Biomedical
Dong Wang, Zhian Liu, Yi Tao, Wenjing Chen, Badong Chen, Qiang Wang, Xiangguo Yan, Gang Wang
Summary: The study introduces a novel EEG source imaging method (WPESI) based on wavelet packet transform and subspace component selection, which improves the localization accuracy of brain activity sources and outperforms traditional methods in computer simulations and experiments. For epilepsy patients, the activity sources estimated by this method align with seizure onset zones.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Neurosciences
Feng Gu, Anmin Gong, Yi Qu, Hui Xiao, Jin Wu, Wenya Nan, Changhao Jiang, Yunfa Fu
Summary: This study investigated the changes in neural activity of professional archers of different levels under different states by analyzing the EEG microstate parameters and their correlation with archery performance. The findings suggest that elite archers are more active in the dorsal attention system during the resting state and activate brain regions associated with archery when aiming.
Article
Multidisciplinary Sciences
Nan An, Fuzhi Cao, Wen Li, Wenli Wang, Weinan Xu, Chunhui Wang, Min Xiang, Yang Gao, Binbin Sui, Dawei Wang, Dexin Yu, Xiaolin Ning
Summary: The emergence of optically pumped magnetometer (OPM)-based magnetoencephalography (MEG) has led to new developments in MEG technology. This study assessed different time-domain MSI methods and proposed using variational free energy as an indicator for evaluating source imaging results.
Article
Engineering, Biomedical
Santtu Soderholm, Joonas Lahtinen, Carsten H. Wolters, Sampsa Pursiainen
Summary: The problem of reconstructing brain activity from electric potential measurements is challenging due to the ill-posed inverse problem and inaccuracies in the utilized forward solution methods. This study investigates the impact of source location restriction on the accuracy of two inverse methods, sLORETA and Dipole Scan, in different signal-to-noise ratios. The findings demonstrate that peeling can significantly enhance the regularity of reconstructed distributions when appropriate depth and low noise level are selected. The applied inverse algorithm and observed brain compartment also influence the accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Biochemical Research Methods
Aline Silva da Cruz, Maria Margarida Drehmer, Wagner Baetas-da-Cruz, Joao Carlos Machado
Summary: This study quantified microcirculation cerebral blood flow in a rat model of ischemic stroke using ultrasound biomicroscopy and ultrasound contrast agents. The results showed high sensitivity and specificity of this method, making it a valuable tool for preclinical studies.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Christina Dalla, Ivana Jaric, Pavlina Pavlidi, Georgia E. Hodes, Nikolaos Kokras, Anton Bespalov, Martien J. Kas, Thomas Steckler, Mohamed Kabbaj, Hanno Wuerbel, Jordan Marrocco, Jessica Tollkuhn, Rebecca Shansky, Debra Bangasser, Jill B. Becker, Margaret McCarthy, Chantelle Ferland-Beckham
Summary: Many funding agencies have emphasized the importance of considering sex as a biological variable in experimental design to improve the reproducibility and translational relevance of preclinical research. Omitting the female sex from experimental designs in neuroscience and pharmacology can result in biased or limited understanding of disease mechanisms. This article provides methodological considerations for incorporating sex as a biological variable in in vitro and in vivo experiments, including the influence of age and hormone levels, and proposes strategies to enhance methodological rigor and translational relevance in preclinical research.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Wenyu Gu, Dongxu Li, Jia-Hong Gao
Summary: We developed a precise and rapid method for positioning and labelling triaxial OPMs on a wearable magnetoencephalography (MEG) system, improving the efficiency of OPM positioning and labelling.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Kai Lin, Linhang Zhang, Jing Cai, Jiaqi Sun, Wenjie Cui, Guangda Liu
Summary: The article introduces an EEG feature map processing model for emotion recognition, which achieves significantly improved accuracy by fusing EEG information at different spatial scales and introducing a channel attention mechanism.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
John E. Parker, Asier Aristieta, Aryn H. Gittis, Jonathan E. Rubin
Summary: This work presents a toolbox that implements a methodology for automated classification of neural responses based on spike train recordings. The toolbox provides a user-friendly and efficient approach to detect various types of neuronal responses that may not be identified by traditional methods.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Yun Liang, Ke Bo, Sreenivasan Meyyappan, Mingzhou Ding
Summary: This study compared the performance of SVM and CNN on the same datasets and found that CNN achieved consistently higher classification accuracies. The classification accuracies of SVM and CNN were generally not correlated, and the heatmaps derived from them did not overlap significantly.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Antonino Visalli, Maria Montefinese, Giada Viviani, Livio Finos, Antonino Vallesi, Ettore Ambrosini
Summary: This study introduces an analytical strategy that allows the use of mixed-effects models (LMM) in mass univariate analyses of EEG data. The proposed method overcomes the computational costs and shows excellent performance properties, making it increasingly important in the field of neuroscience.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Xavier Cano-Ferrer, Alexandra Tran -Van -Minh, Ede Rancz
Summary: This study developed a novel rotation platform for studying neural processes and spatial navigation. The platform is modular, affordable, and easy to build, and can be driven by the experimenter or animal movement. The research demonstrated the utility of the platform, which combines the benefits of head fixation and intact vestibular activity.
JOURNAL OF NEUROSCIENCE METHODS
(2024)