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Kai Wang, Wenjie Li, Li Dong, Ling Zou, Changming Wang
Combination of electroencephalogram (EEG) recording and functional magnetic resonance imaging (fMRI) plays a potential role in neuroimaging due to its high spatial and temporal resolution. However, EEG is easily influenced by ballistocardiogram (BCG) artifacts and may cause false identification of the related EEG features, such as epileptic spikes. There are many related methods to remove them, however, they do not consider the time-varying features of BCG artifacts. In this paper, a novel method using clustering algorithm to catch the BCG artifacts' features and together with the constrained ICA (ccICA) is proposed to remove the BCG artifacts...
2018: Frontiers in Neuroscience
Jing Lu, Sijia Guo, Mingming Chen, Weixia Wang, Hua Yang, Daqing Guo, Dezhong Yao
Many methods have been developed to translate a human electroencephalogram (EEG) into music. In addition to EEG, functional magnetic resonance imaging (fMRI) is another method used to study the brain and can reflect physiological processes. In 2012, we established a method to use simultaneously recorded fMRI and EEG signals to produce EEG-fMRI music, which represents a step toward scale-free brain music. In this study, we used a neural mass model, the Jansen-Rit model, to simulate activity in several cortical brain regions...
January 2018: Medicine (Baltimore)
Huaze Xu, Jianpo Su, Jian Qin, Ming Li, Ling-Li Zeng, Dewen Hu, Hui Shen
Recently, resting-state functional magnetic resonance imaging (fMRI) studies have been extended to explore fluctuations in correlations over shorter timescales, referred to as dynamic functional connectivity (dFC). However, the impact of global signal regression (GSR) on dFC is not well established, despite the intensive investigations of the influence of GSR on static functional connectivity (sFC). This study aimed to examine the effect of GSR on the performance of the sliding-window correlation, a commonly used method for capturing functional connectivity (FC) dynamics based on resting-state fMRI and simultaneous electroencephalograph (EEG)-fMRI data...
February 21, 2018: NeuroImage
Rodolfo Abreu, Alberto Leal, Patrícia Figueiredo
The simultaneous acquisition of electroencephalography (EEG) with functional magnetic resonance imaging (fMRI) is a very promising non-invasive technique for the study of human brain function. Despite continuous improvements, it remains a challenging technique, and a standard methodology for data analysis is yet to be established. Here we review the methodologies that are currently available to address the challenges at each step of the data analysis pipeline. We start by surveying methods for pre-processing both EEG and fMRI data...
2018: Frontiers in Human Neuroscience
Rodolfo Abreu, Alberto Leal, Fernando Lopes da Silva, Patrícia Figueiredo
OBJECTIVE: We hypothesize that the hypersynchronization associated with epileptic activity is best described by EEG synchronization measures, and propose to use these as predictors of epilepsy-related BOLD fluctuations. METHODS: We computed the phase synchronization index (PSI) and global field synchronization (GFS), within two frequency bands, a broadband (1-45 Hz) and a narrower band focused on the presence of epileptic activity (3-10 Hz). The associated epileptic networks were compared with those obtained using conventional unitary regressors and two power-weighted metrics (total power and root mean square frequency), on nine simultaneous EEG-fMRI datasets from four epilepsy patients, exhibiting inter-ictal epileptiform discharges (IEDs)...
January 11, 2018: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
Hong Ji, Nathan M Petro, Badong Chen, Zejian Yuan, Jianji Wang, Nanning Zheng, Andreas Keil
Over the past decade, the simultaneous recording of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) data has garnered growing interest because it may provide an avenue towards combining the strengths of both imaging modalities. Given their pronounced differences in temporal and spatial statistics, the combination of EEG and fMRI data is however methodologically challenging. Here, we propose a novel screening approach that relies on a Cross Multivariate Correlation Coefficient (xMCC) framework...
February 6, 2018: Journal of Neuroscience Research
Matthias F J Sperl, Christian Panitz, Isabelle M Rosso, Daniel G Dillon, Poornima Kumar, Andrea Hermann, Alexis E Whitton, Christiane Hermann, Diego A Pizzagalli, Erik M Mueller
Human functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) studies, as well as animal studies, indicate that the amygdala and frontomedial brain regions are critically involved in conditioned fear and that frontomedial oscillations in the theta range (4-8 Hz) may support communication between these brain regions. However, few studies have used a multimodal approach to probe interactions among these key regions in humans. Here, our goal was to bridge the gap between prior human fMRI, EEG, and animal findings...
January 24, 2018: Cerebral Cortex
Satoshi Maesawa, Epifanio Bagarinao, Daisuke Nakatsubo, Toshihiko Wakabayashi
No abstract text is available yet for this article.
January 2018: No Shinkei Geka. Neurological Surgery
Ashish Kaul Sahib, Michael Erb, Justus Marquetand, Pascal Martin, Adham Elshahabi, Silke Klamer, Serge Vulliemoz, Klaus Scheffler, Thomas Ethofer, Niels K Focke
The human brain is known to contain several functional networks that interact dynamically. Therefore, it is desirable to analyze the temporal features of these networks by dynamic functional connectivity (dFC). A sliding window approach was used in an event-related fMRI (visual stimulation using checkerboards) to assess the impact of repetition time (TR) and window size on the temporal features of BOLD dFC. In addition, we also examined the spatial distribution of dFC and tested the feasibility of this approach for the analysis of interictal epileptiforme discharges...
2018: PloS One
Yongfu Hao, Hui Ming Khoo, Nicolas von Ellenrieder, Natalja Zazubovits, Jean Gotman
Presurgical evaluation that can precisely delineate the epileptogenic zone (EZ) is one important step for successful surgical resection treatment of refractory epilepsy patients. The noninvasive EEG-fMRI recording technique combined with general linear model (GLM) analysis is considered an important tool for estimating the EZ. However, the manual marking of interictal epileptic discharges (IEDs) needed in this analysis is challenging and time-consuming because the quality of the EEG recorded inside the scanner is greatly deteriorated compared to the usual EEG obtained outside the scanner...
2018: NeuroImage: Clinical
Epifanio Bagarinao, Satoshi Maesawa, Yuji Ito, Naotaka Usui, Jun Natsume, Hirohisa Watanabe, Minoru Hoshiyama, Toshihiko Wakabayashi, Gen Sobue, Shinji Naganawa, Haruo Isoda
OBJECTIVE: Epileptic spikes are associated with rapidly changing brain activation involving the epileptic foci and other brain regions in the "epileptic network". We aim to resolve these activation changes using simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recordings. METHODS: Simultaneous EEG-fMRI recordings from 9 patients with epilepsy were used in the analysis. Our method employed the whole scalp EEG data to generate regressors for the analysis of fMRI data using the general linear model...
November 27, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
Florian Gompf, Anja Pflug, Helmut Laufs, Christian A Kell
Functional imaging studies using BOLD contrasts have consistently reported activation of the supplementary motor area (SMA) both during motor and internal timing tasks. Opposing findings, however, have been shown for the modulation of beta oscillations in the SMA. While movement suppresses beta oscillations in the SMA, motor and non-motor tasks that rely on internal timing increase the amplitude of beta oscillations in the SMA. These independent observations suggest that the relationship between beta oscillations and BOLD activation is more complex than previously thought...
2017: Frontiers in Human Neuroscience
Mareike Bayer, Michael T Rubens, Tom Johnstone
The speed of visual processing is central to our understanding of face perception. Yet the extent to which early visual processing influences later processing in distributed face processing networks, and the top-down modulation of such bottom-up effects, remains unclear. We used simultaneous EEG-fMRI to investigate cortical activity that showed unique covariation with ERP components of face processing (C1, P1, N170, P3), while manipulating sustained attention and transient cognitive conflict employing an emotional face-word Stroop task...
December 12, 2017: Biological Psychology
Christoph M Michel, Thomas Koenig
The present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG). This method involves the examination of electrical microstates in the brain, which are defined as successive short time periods during which the configuration of the scalp potential field remains semi-stable, suggesting quasi-simultaneity of activity among the nodes of large-scale networks. A few prototypic microstates, which occur in a repetitive sequence across time, can be reliably identified across participants...
December 2, 2017: NeuroImage
Qiang Li, Guangyuan Liu, Dongtao Wei, Jing Guo, Guangjie Yuan, Shifu Wu
Although considerable research has been published on pure tone processing, its spatiotemporal pattern is not well understood. Specifically, the link between neural activity in the auditory pathway measured by functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) markers of pure tone processing in the P1, N1, P2, and N4 components is not well established. In this study, we used single-trial EEG-fMRI as a multi-modal fusion approach to integrate concurrently acquired EEG and fMRI data, in order to understand the spatial and temporal aspects of the pure tone processing pathway...
November 29, 2017: NeuroImage
Jonathan Wirsich, Marc Rey, Maxime Guye, Christian Bénar, Laura Lanteaume, Ben Ridley, Sylviane Confort-Gouny, Catherine Cassé-Perrot, Elisabeth Soulier, Patrick Viout, Franck Rouby, Marie-Noëlle Lefebvre, Christine Audebert, Romain Truillet, Elisabeth Jouve, Pierre Payoux, David Bartrés-Faz, Régis Bordet, Jill C Richardson, Claudio Babiloni, Paolo Maria Rossini, Joelle Micallef, Olivier Blin, Jean-Philippe Ranjeva
Resting-state connectivity has been widely studied in the healthy and pathological brain. Less well-characterized are the brain networks altered during pharmacological interventions and their possible interaction with vigilance. In the hopes of finding new biomarkers which can be used to identify cortical activity and cognitive processes linked to the effects of drugs to treat neurodegenerative diseases such as Alzheimer's disease, the analysis of networks altered by medication would be particularly interesting...
November 23, 2017: Brain Topography
Xiaojie Zhao, Xiaoyun Li, Li Yao
Working memory (WM) is a resource-limited memory system for temporary storage and processing of brain information during the execution of cognitive tasks. Increased WM load will increase the amount and difficulty of memory information. Several studies have used electroencephalography (EEG) or functional magnetic resonance imaging (fMRI) to explore load-dependent cognition processing according to the time courses of electrophysiological activity or the spatial pattern of blood oxygen metabolic activity. However, the relationships between these two activities and the underlying neural mechanism are still unclear...
2017: Frontiers in Behavioral Neuroscience
David Steyrl, Gunther Krausz, Karl Koschutnig, Günter Edlinger, Gernot R Müller-Putz
Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) allow us to study the active human brain from two perspectives concurrently. Signal processing based artifact reduction techniques are mandatory for this, however, to obtain reasonable EEG quality in simultaneous EEG-fMRI. Current artifact reduction techniques like average artifact subtraction (AAS), typically become less effective when artifact reduction has to be performed on-the-fly. We thus present and evaluate a new technique to improve EEG quality online...
November 9, 2017: Brain Topography
Tao Tu, Noam Schneck, Jordan Muraskin, Paul Sajda
Network interactions are likely to be instrumental in processes underlying rapid perception and cognition. Specifically, high-level and perceptual regions must interact to balance pre-existing models of the environment with new incoming stimuli. Simultaneous EEG/fMRI allows for the temporal characterization of brain-network interactions combined with improved anatomical localization of regional activity. In this paper we use simultaneous EEG/fMRI and multivariate dynamical systems (MDS) analysis to characterize network relationships between constitute brain areas that reflect a subject's choice for a face versus non-face categorization task...
November 8, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
Stéphane Perrey
The movement occurring when a muscle exerts tension while lengthening is known as eccentric muscle action. Literature contains limited evidence on how our brain controls eccentric movement. However, how the cortical regions in the motor network are activated during eccentric muscle actions may be critical for understanding the underlying control mechanism of eccentric movements encountered in daily tasks. This is a novel topic that has only recently begun to be investigated through advancements in neuroimaging methods (electroencephalography, EEG; functional magnetic resonance imaging, fMRI)...
February 2018: European Journal of Sport Science
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