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article

Sparse EEG Source Localization Using Bernoulli Laplacian Priors

Facundo Costa, Hadj Batatia, Lotfi Chaari, Jean-Yves Tourneret

IEEE Transactions on Biomedical Engineering > 2015 > 62 > 12 > 2888 - 2898

Source localization in electroencephalography has received an increasing amount of interest in the last decade. Solving the underlying ill-posed inverse problem usually requires choosing an appropriate regularization. The usual

$\ell _2$

norm has been considered and provides solutions with low computational complexity. However, in several situations, realistic brain activity is believed to be focused...

article

A survey on sound source localization in robotics: From binaural to array processing methods

S. Argentieri, P. Danès, P. Souères, S. Argentieri, more

Computer Speech & Language > 2015 > 34 > 1 > 87-112

This paper attempts to provide a state-of-the-art of sound source localization in robotics. Noticeably, this context raises original constraints—e.g. embeddability, real time, broadband environments, noise and reverberation—which are seldom simultaneously taken into account in acoustics or signal processing. A comprehensive review is proposed of recent robotics achievements, be they binaural or rooted...

article

Impulsive sound source localization using peak and RMS estimation of the time-domain beamformer output

Dae-Hoon Seo, Jung-Woo Choi, Yang-Hann Kim, D.H. Seo, more

Mechanical Systems and Signal Processing > 2014 > 49 > 1-2 > 95-105

This paper presents a beamforming technique for locating impulsive sound source. The conventional frequency-domain beamformer is advantageous for localizing noise sources for a certain frequency band of concern, but the existence of many frequency components in the wide-band spectrum of impulsive noise makes the beamforming image less clear. In contrast to a frequency-domain beamformer, it has been...

article

Wedge MUSIC: A novel approach to examine experimental differences of brain source connectivity patterns from EEG/MEG data

Arne Ewald, Forooz Shahbazi Avarvand, Guido Nolte, A. Ewald, more

NeuroImage > 2014 > 101 > Complete > 610-624

We introduce a novel method to estimate bivariate synchronization, i.e. interacting brain sources at a specific frequency or band, from MEG or EEG data robust to artifacts of volume conduction. The data driven calculation is solely based on the imaginary part of the cross-spectrum as opposed to the imaginary part of coherency. In principle, the method quantifies how strong a synchronization between...

article

Channel Energy Based Estimation of Target Trajectories Using Distributed Sensors With Low Communication Rate

C.R. Berger, S. Choi, Shengli Zhou, P. Willett

IEEE Transactions on Signal Processing > 2010 > 58 > 4 > 2339 - 2350

Sensor localization using channel energy measurements of distributed sensors has been studied in various scenarios. However, it is usually assumed that the target does not move significantly during the time needed to collect and process the data from the sensors. We want to estimate the trajectory of a moving target using a network of distributed sensors that measure only the received signal strength...

article

Estimating neural activity from visual areas using functionally defined EEG templates

Marlene Poncet, Justin M. Ales

Human Brain Mapping > 44 > 5 > 1846 - 1861

Electroencephalography (EEG) is a common and inexpensive method to record neural activity in humans. However, it lacks spatial resolution making it difficult to determine which areas of the brain are responsible for the observed EEG response. Here we present a new easy‐to‐use method that relies on EEG topographical templates. Using MRI and fMRI scans of 50 participants, we simulated how the activity...

article

Evidence for independent representational contents in inhibitory control subprocesses associated with frontoparietal cortices

Negin Gholamipourbarogh, Filippo Ghin, Moritz Mückschel, Christian Frings, more

Human Brain Mapping > 44 > 3 > 1046 - 1061

Inhibitory control processes have intensively been studied in cognitive science for the past decades. Even though the neural dynamics underlying these processes are increasingly better understood, a critical open question is how the representational dynamics of the inhibitory control processes are modulated when engaging in response inhibition in a relatively automatic or a controlled mode. Against...

article

Magnetoencephalography can reveal deep brain network activities linked to memory processes

Víctor J. López‐Madrona, Samuel Medina Villalon, Jean‐Michel Badier, Agnès Trébuchon, more

Human Brain Mapping > 43 > 15 > 4733 - 4749

Recording from deep neural structures such as hippocampus noninvasively and yet with high temporal resolution remains a major challenge for human neuroscience. Although it has been proposed that deep neuronal activity might be recordable during cognitive tasks using magnetoencephalography (MEG), this remains to be demonstrated as the contribution of deep structures to MEG recordings may be too small...

article

Source localization based on the array aperture loss for channel phase calibration

Weiwei Hu, Guangwei Qing

International Journal of Communication Systems > 35 > 15 > n/a - n/a

A novel method is proposed to locate sources with uniform circular array (UCA) in the presence of channel phase errors. Inspired by the rank reduction (RARE) theory in the spatial domain, which creates the necessary condition (reduction rank vector) with the instrumental sensors, a reduction in the aperture of UCA is considered for the construction of the reduction rank vector that is related only...

article

Age‐related differences in bottom‐up and top‐down attention: Insights from EEG and MEG

Hesham A. ElShafei, Rémy Masson, Camille Fakche, Lesly Fornoni, more

European Journal of Neuroscience > 55 > 5 > 1215 - 1231

Attention operates through top‐down and bottom‐up processes, and a balance between these processes is crucial for daily tasks. Imperilling such balance could explain ageing‐associated attentional problems such as exacerbated distractibility. In this study, we aimed to characterize this enhanced distractibility by investigating the impact of ageing upon event‐related components associated with top‐down...

article

Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives

Juan Manuel Völker, Federico Gabriel Arguissain, Ole Kæseler Andersen, José Biurrun Manresa

Human Brain Mapping > 42 > 8 > 2461 - 2476

Pain arises from the integration of sensory and cognitive processes in the brain, resulting in specific patterns of neural oscillations that can be characterized by measuring electrical brain activity. Current source density (CSD) estimation from low‐resolution brain electromagnetic tomography (LORETA) and its standardized (sLORETA) and exact (eLORETA) variants, is a common approach to identify the...

article

Neurocognitive processes mediate the relation between children’s motor skills, cardiorespiratory fitness and response inhibition: Evidence from source imaging

Sebastian Ludyga, Wenke Möhring, Henning Budde, Nick Hirt, more

Psychophysiology > 58 > 2 > n/a - n/a

Accumulating evidence suggests an association between outcomes of sports participation, such as motor skills and cardiorespiratory fitness, and aspects of inhibitory control in children. However, it remains unclear if motor skills and cardiorespiratory fitness are related to different source activity patterns and if neurophysiological indices of response inhibition mediate the relation of these constructs...

article

Electroencephalography source localization analysis in epileptic children during a visual working‐memory task

Evangelos Galaris, Ioannis Gallos, Ivan Myatchin, Lieven Lagae, more

International Journal for Numerical Methods in Biomedical Engineering > 36 > 12 > n/a - n/a

We localize the sources of brain activity of children with epilepsy based on electroencephalograph (EEG) recordings acquired during a visual discrimination working memory task. For the numerical solution of the inverse problem, with the aid of age‐specific MRI scans processed from a publicly available database, we use and compare three regularization numerical methods, namely the standardized low...

article

Resting theta activity is associated with specific coding levels in event‐related theta activity during conflict monitoring

Charlotte Pscherer, Annet Bluschke, Astrid Prochnow, Elena Eggert, more

Human Brain Mapping > 41 > 18 > 5114 - 5127

Brain electrical activity in the theta frequency band is essential for cognitive control (e.g., during conflict monitoring), but is also evident in the resting state. The link between resting state theta activity and its relevance for theta‐related neural mechanisms during cognitive control is still undetermined. Yet, theoretical considerations suggest that there may be a connection. To examine the...

article

Progesterone modulates theta oscillations in the frontal‐parietal network

Justin Riddle, Sangtae Ahn, Trevor McPherson, Susan Girdler, more

Psychophysiology > 57 > 10 > n/a - n/a

The neuroactive metabolites of the steroid hormones progesterone (P4) and testosterone (T) are GABAergic modulators that influence cognition, yet, the specific effect of P4 and T on brain network activity remains poorly understood. Here, we investigated if a fundamental oscillatory network activity pattern, often related to cognitive control, frontal midline theta (FMT) oscillations, are modulated...

article

Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients

Giovanni Pellegrino, Tanguy Hedrich, Manuel Porras‐Bettancourt, Jean‐Marc Lina, more

Human Brain Mapping > 41 > 11 > 3019 - 3033

Source localization of interictal epileptiform discharges (IEDs) is clinically useful in the presurgical workup of epilepsy patients. We aimed to compare the performance of four different distributed magnetic source imaging (dMSI) approaches: Minimum norm estimate (MNE), dynamic statistical parametric mapping (dSPM), standardized low‐resolution electromagnetic tomography (sLORETA), and coherent maximum...

article

Multiple sparse priors technique with optimized patches for brain source localization

Munsif Ali Jatoi, Nidal Kamel, José D. López

International Journal of Imaging Systems and Technology > 30 > 1 > 154 - 167

Localizing brain neural activity using electroencephalography (EEG) neuroimaging technique is getting increasing response from neuroscience researchers and medical community. It is due to the fact that brain source localization has a variety of applications for diagnoses of various brain disorders. This problem is ill‐posed in nature because an infinite number of source configurations can produce...

article

Passive perceptual learning modulates motor inhibitory control in superior frontal regions

Julia Friedrich, Christian Beste

Human Brain Mapping > 41 > 3 > 726 - 738

Response inhibition is of vital importance in the context of controlling inappropriate responses. The role of perceptual processes during inhibitory control has attracted increased interest. Yet, we are far from an understanding of the mechanisms. One candidate mechanism by which perceptual processes may affect response inhibition refers to “gain control” that is closely linked to the signal‐to‐noise...

article

Sequential optimal positioning of mobile sensors using mutual information

Kathleen Schmidt, Ralph C. Smith, Jason Hite, John Mattingly, more

Statistical Analysis and Data Mining: The ASA Data Science Journal > 12 > 6 > 465 - 478

Source localization, such as detecting a nuclear source in an urban area or ascertaining the origin of a chemical plume, is generally regarded as a well‐documented inverse problem; however, optimally placing sensors to collect data for such problems is a more challenging task. In particular, optimal sensor placement—that is, measurement locations resulting in the least uncertainty in the estimated...

article

Lateral prefrontal anodal transcranial direct current stimulation augments resolution of auditory perceptual-attentional conflicts

Nico Adelhöfer, Krutika Gohil, Susanne Passow, Christian Beste, more

NeuroImage > 2019 > 199 > C > 217-227

Successful action control requires the ability to attend to relevant sensory signals in the environment. This, however, can be complicated when different sensory inputs compete for the brain's limited resources. Under such conditions, sensory processes interact with top-down attention to selectively process goal-relevant stimuli, while inhibiting irrelevant or distracting sensory signals. In the current...

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Search results

Sparse EEG Source Localization Using Bernoulli Laplacian Priors

A survey on sound source localization in robotics: From binaural to array processing methods

Impulsive sound source localization using peak and RMS estimation of the time-domain beamformer output

Wedge MUSIC: A novel approach to examine experimental differences of brain source connectivity patterns from EEG/MEG data

Channel Energy Based Estimation of Target Trajectories Using Distributed Sensors With Low Communication Rate

Estimating neural activity from visual areas using functionally defined EEG templates

Evidence for independent representational contents in inhibitory control subprocesses associated with frontoparietal cortices

Magnetoencephalography can reveal deep brain network activities linked to memory processes

Source localization based on the array aperture loss for channel phase calibration

Age‐related differences in bottom‐up and top‐down attention: Insights from EEG and MEG

Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives

Neurocognitive processes mediate the relation between children’s motor skills, cardiorespiratory fitness and response inhibition: Evidence from source imaging

Electroencephalography source localization analysis in epileptic children during a visual working‐memory task

Resting theta activity is associated with specific coding levels in event‐related theta activity during conflict monitoring

Progesterone modulates theta oscillations in the frontal‐parietal network

Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients

Multiple sparse priors technique with optimized patches for brain source localization

Passive perceptual learning modulates motor inhibitory control in superior frontal regions

Sequential optimal positioning of mobile sensors using mutual information

Lateral prefrontal anodal transcranial direct current stimulation augments resolution of auditory perceptual-attentional conflicts

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