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Brain Source Localization

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https://www.readbyqxmd.com/read/28227525/multi-direction-hand-movement-classification-using-eeg-based-source-space-analysis
#1
Vikram Shenoy Handiru, A P Vinod, Cuntai Guan, Vikram Shenoy Handiru, A P Vinod, Cuntai Guan, Vikram Shenoy Handiru, Cuntai Guan, A P Vinod
Recent advances in the brain-computer interfaces (BCIs) have demonstrated the inference of movement related activity using non-invasive EEG. However, most of the sensorspace approaches that study sensorimotor rhythms using EEG do not reveal the underlying neurophysiological phenomenon while executing or imagining the movement with finer control. Therefore, there is a need to examine feature extraction techniques in the cortical source space which can provide more information about the task compared to sensor-space...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227519/kernel-temporal-enhancement-approach-for-loreta-source-reconstruction-using-eeg-data
#2
Cristian A Torres-Valencia, M Claudia Joana Santamaria, Mauricio A Alvarez, Cristian A Torres-Valencia, M Claudia Joana Santamaria, Mauricio A Alvarez, Mauricio A Alvarez, Cristian A Torres-Valencia
Reconstruction of brain sources from magnetoencephalography and electroencephalography (M/EEG) data is a well known problem in the neuroengineering field. A inverse problem should be solved and several methods have been proposed. Low Resolution Electromagnetic Tomography (LORETA) and the different variations proposed as standardized LORETA (sLORETA) and the standardized weighted LORETA (swLORETA) have solved the inverse problem following a non-parametric approach, that is by setting dipoles in the whole brain domain in order to estimate the dipole positions from the M/EEG data and assuming some spatial priors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227406/multivariate-autoregressive-model-constrained-by-anatomical-connectivity-to-reconstruct-focal-sources
#3
Brahim Belaoucha, Mouloud Kachouane, Theodore Papadopoulo, Brahim Belaoucha, Mouloud Kachouane, Theodore Papadopoulo, Brahim Belaoucha, Theodore Papadopoulo, Mouloud Kachouane
In this paper, we present a framework to reconstruct spatially localized sources from Magnetoencephalography (MEG)/Electroencephalography (EEG) using spatiotemporal constraint. The source dynamics are represented by a Multivariate Autoregressive (MAR) model whose matrix elements are constrained by the anatomical connectivity obtained from diffusion Magnetic Resonance Imaging (dMRI). The framework assumes that the whole brain dynamic follows a constant MAR model in a time window of interest. The source activations and the MAR model parameters are estimated iteratively...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226449/comparison-of-imaging-modalities-and-source-localization-algorithms-in-locating-the-induced-activity-during-deep-brain-stimulation-of-the-stn
#4
K G Mideksa, A Singh, N Hoogenboom, H Hellriegel, H Krause, A Schnitzler, G Deuschl, J Raethjen, G Schmidt, M Muthuraman, K G Mideksa, A Singh, N Hoogenboom, H Hellriegel, H Krause, A Schnitzler, G Deuschl, J Raethjen, G Schmidt, M Muthuraman, G Deuschl, K G Mideksa, A Singh, H Krause, A Schnitzler, N Hoogenboom, M Muthuraman, J Raethjen, G Schmidt, H Hellriegel
One of the most commonly used therapy to treat patients with Parkinson's disease (PD) is deep brain stimulation (DBS) of the subthalamic nucleus (STN). Identifying the most optimal target area for the placement of the DBS electrodes have become one of the intensive research area. In this study, the first aim is to investigate the capabilities of different source-analysis techniques in detecting deep sources located at the sub-cortical level and validating it using the a-priori information about the location of the source, that is, the STN...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226448/graph-fractional-order-total-variation-eeg-source-reconstruction
#5
Ying Li, Jing Qin, Stanley Osher, Wentai Liu, Ying Li, Jing Qin, Stanley Osher, Wentai Liu, Jing Qin, Stanley Osher, Ying Li, Wentai Liu
EEG source imaging is able to reconstruct sources in the brain from scalp measurements with high temporal resolution. Due to the limited number of sensors, it is very challenging to locate the source accurately with high spatial resolution. Recently, several total variation (TV) based methods have been proposed to explore sparsity of the source spatial gradients, which is based on the assumption that the source is constant at each subregion. However, since the sources have more complex structures in practice, these methods have difficulty in recovering the current density variation and locating source peaks...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28195522/source-localization-of-brain-states-associated-with-canonical-neuroimaging-postures
#6
Michael Lifshitz, Robert T Thibault, Raquel R Roth, Amir Raz
Cognitive neuroscientists rarely consider the influence that body position exerts on brain activity; yet, postural variation holds important implications for the acquisition and interpretation of neuroimaging data. Whereas participants in most behavioral and EEG experiments sit upright, many prominent brain imaging techniques (e.g., fMRI) require participants to lie supine. Here we demonstrate that physical comportment profoundly alters baseline brain activity as measured by magnetoencephalography (MEG)-an imaging modality that permits multipostural acquisition...
February 14, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28192130/ielvis-an-open-source-matlab-toolbox-for-localizing-and-visualizing-human-intracranial-electrode-data
#7
David M Groppe, Stephan Bickel, Andrew R Dykstra, Xiuyuan Wang, Pierre Mégevand, Manuel R Mercier, Fred A Lado, Ashesh D Mehta, Christopher J Honey
BACKGROUND: Intracranial electrical recordings (iEEG) and brain stimulation (iEBS) are invaluable human neuroscience methodologies. However, the value of such data is often unrealized as many laboratories lack tools for localizing electrodes relative to anatomy. To remedy this, we have developed a MATLAB toolbox for intracranial electrode localization and visualization, iELVis. NEW METHOD: iELVis uses existing tools (BioImage Suite, FSL, and FreeSurfer) for preimplant magnetic resonance imaging (MRI) segmentation, neuroimaging coregistration, and manual identification of electrodes in postimplant neuroimaging...
February 9, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28190698/therapeutic-effects-of-cannabinoids-in-animal-models-of-seizures-epilepsy-epileptogenesis-and-epilepsy-related-neuroprotection
#8
REVIEW
Evan C Rosenberg, Pabitra H Patra, Benjamin J Whalley
The isolation and identification of the discrete plant cannabinoids in marijuana revived interest in analyzing historical therapeutic claims made for cannabis in clinical case studies and anecdotes. In particular, sources as old as the 11th and 15th centuries claimed efficacy for crude marijuana extracts in the treatment of convulsive disorders, prompting a particularly active area of preclinical research into the therapeutic potential of plant cannabinoids in epilepsy. Since that time, a large body of literature has accumulated describing the effects of several of the >100 individual plant cannabinoids in preclinical models of seizures, epilepsy, epileptogenesis, and epilepsy-related neuroprotection...
February 9, 2017: Epilepsy & Behavior: E&B
https://www.readbyqxmd.com/read/28149919/comparison-of-group-level-source-localized-activity-for-simultaneous-functional-near-infrared-spectroscopy-magnetoencephalography-and-simultaneous-fnirs-fmri-during-parametric-median-nerve-stimulation
#9
Theodore Huppert, Jeff Barker, Benjamin Schmidt, Shawn Walls, Avniel Ghuman
Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique, which uses light to measure changes in cerebral blood oxygenation through sensors placed on the surface of the scalp. We recorded concurrent fNIRS with magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) in order to investigate the group-level correspondence of these measures with source-localized fNIRS estimates. Healthy participants took part in both a concurrent fNIRS-MEG and fNIRS-fMRI neuroimaging session during two somatosensory stimulation tasks, a blocked design median nerve localizer and parametric pulsed-pair median nerve stimulation using interpulse intervals from 100 to 500 ms...
January 2017: Neurophotonics
https://www.readbyqxmd.com/read/28140365/multichannel-activity-propagation-across-an-engineered-axon-network
#10
Han-Chiao Isaac Chen, John Wolf, Douglas Smith
OBJECTIVE: Although substantial progress has been made in mapping the connections of the brain, less is known about how this organization translates into brain function. In particular, the massive interconnectivity of the brain has made it difficult to specifically examine data transmission between two nodes of the connectome, a central component of the "neural code." Here, we investigated the propagation of multiple streams of asynchronous neuronal activity across an isolated in vitro "connectome unit...
January 31, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28137699/frequency-dependent-fine-structure-in-the-frequency-following-response-the-byproduct-of-multiple-generators
#11
Parker Tichko, Erika Skoe
The frequency-following response (FFR) is an auditory-evoked response recorded at the scalp that captures the spectrotemporal properties of tonal stimuli. Previous investigations report that the amplitude of the FFR fluctuates as a function of stimulus frequency, a phenomenon thought to reflect multiple neural generators phase-locking to the stimulus with different response latencies. When phase-locked responses are offset by different latencies, constructive and destructive phase interferences emerge in the volume-conducted signals, culminating in an attenuation or amplification of the scalp-recorded response in a frequency-specific manner...
January 27, 2017: Hearing Research
https://www.readbyqxmd.com/read/28126752/cerebral-temperature-dysregulation-mr-thermographic-monitoring-in-a-nonhuman-primate-study-of-acute-ischemic-stroke
#12
S Dehkharghani, C C Fleischer, D Qiu, M Yepes, F Tong
BACKGROUND AND PURPOSE: Cerebral thermoregulation remains poorly understood. Temperature dysregulation is deeply implicated in the potentiation of cerebrovascular ischemia. We present a multiphasic, MR thermographic study in a nonhuman primate model of MCA infarction, hypothesizing detectable brain temperature disturbances and brain-systemic temperature decoupling. MATERIALS AND METHODS: Three Rhesus Macaque nonhuman primates were sourced for 3-phase MR imaging: 1) baseline MR imaging, 2) 7-hour continuous MR imaging following minimally invasive, endovascular MCA stroke induction, and 3) poststroke day 1 MR imaging follow-up...
January 26, 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28123019/cortical-correlates-of-the-auditory-frequency-following-and-onset-responses-eeg-and-fmri-evidence
#13
Emily B J Coffey, Gabriella Musacchia, Robert J Zatorre
: The frequency-following response (FFR) is a measure of the brain's periodic sound encoding. It is of increasing importance for studying the human auditory nervous system due to numerous associations with auditory cognition and dysfunction. Although the FFR is widely interpreted as originating from brainstem nuclei, a recent study using MEG suggested that there is also a right-lateralized contribution from the auditory cortex at the fundamental frequency (Coffey et al., 2016b). Our objectives in the present work were to validate and better localize this result using a completely different neuroimaging modality and to document the relationships between the FFR, the onset response, and cortical activity...
January 25, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28122559/search-strategy-is-regulated-by-somatostatin-signaling-and-deep-brain-photoreceptors-in-zebrafish
#14
Eric J Horstick, Yared Bayleyen, Jennifer L Sinclair, Harold A Burgess
BACKGROUND: Animals use sensory cues to efficiently locate resources, but when sensory information is insufficient, they may rely on internally coded search strategies. Despite the importance of search behavior, there is limited understanding of the underlying neural mechanisms in vertebrates. RESULTS: Here, we report that loss of illumination initiates sophisticated light-search behavior in larval zebrafish. Using three-dimensional tracking, we show that at the onset of darkness larvae swim in a helical trajectory that is spatially restricted in the horizontal plane, before gradually transitioning to an outward movement profile...
January 26, 2017: BMC Biology
https://www.readbyqxmd.com/read/28117662/multivariate-cross-frequency-coupling-via-generalized-eigendecomposition
#15
Michael X Cohen
This paper presents a new framework for analyzing cross-frequency coupling in multichannel electrophysiological recordings. The generalized eigendecomposition-based cross-frequency coupling framework (gedCFC) is inspired by source-separation algorithms combined with dynamics of mesoscopic neurophysiological processes. It is unaffected by factors that confound traditional CFC methods-such as non-stationarities, non-sinusoidality, and non-uniform phase angle distributions-attractive properties considering that brain activity is neither stationary nor perfectly sinusoidal...
January 24, 2017: ELife
https://www.readbyqxmd.com/read/28116447/localized-n20-component-of-somatosensory-evoked-magnetic-fields-in-frontoparietal-brain-tumor-patients-using-noise-normalized-approaches
#16
Nor Safira Elaina, Aamir Saeed Malik, Wafaa Khazaal Shams, Nasreen Badruddin, Jafri Malin Abdullah, Mohammad Faruque Reza
PURPOSE: To localize sensorimotor cortical activation in 10 patients with frontoparietal tumors using quantitative magnetoencephalography (MEG) with noise-normalized approaches. MATERIAL AND METHODS: Somatosensory evoked magnetic fields (SEFs) were elicited in 10 patients with somatosensory tumors and in 10 control participants using electrical stimulation of the median nerve via the right and left wrists. We localized the N20m component of the SEFs using dynamic statistical parametric mapping (dSPM) and standardized low-resolution brain electromagnetic tomography (sLORETA) combined with 3D magnetic resonance imaging (MRI)...
January 23, 2017: Clinical Neuroradiology
https://www.readbyqxmd.com/read/28113671/cortical-dynamic-causality-network-for-auditory-motor-tasks
#17
Tiejun Liu, Fali Li, Yi Jiang, Tao Zhang, Fei Wang, Diankun Gong, Peiyang Li, Teng Ma, Kan Qiu, He Li, Dezhong Yao, Peng Xu
Motor preparation and execution require the interactions of a large-scale brain network, while the study of the dynamic changes of their interactions could uncover the underlying neural mechanism of the corresponding information processing. This dynamic analysis requires high temporal resolution of the recorded signals. Electroencephalogram (EEG) with high temporal resolution has been widely used in related studies. However, studies based on scalp EEG always lead to distorted results, due to scalp volume conduction, compared with that of cortically recorded signals...
September 12, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28113303/epileptogenic-source-imaging-using-cross-frequency-coupled-signals-from-scalp-eeg
#18
Li Chunsheng, Daniel Jacobs, Trevor Hilton, Martin Del Campo, Yotin Chinvarun, Peter Carlen, Berj Bardakjian
OBJECTIVE: The epileptogenic zone (EZ) is a brain region containing the sources of seizure genesis. Removal of the EZ is associated with cessation of seizures after resective surgical procedures, as measured by Engel Class I score. This study describes a novel EEG source imaging (ESI) method which uses cross frequency coupled potential signals (SCFC) derived from scalp EEG. METHODS: Scalp EEG were recorded from ten patients (20 seizures) suffering from epilepsy...
September 27, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28113204/noninvasive-electromagnetic-source-imaging-and-granger-causality-analysis-an-electrophysiological-connectome-econnectome-approach
#19
Abbas Sohrabpour, Shuai Ye, Gregory A Worrell, Wenbo Zhang, Bin He
: Combined source imaging techniques and directional connectivity analysis can provide useful information about the underlying brain networks in a noninvasive fashion. Source imaging techniques have been used successfully to either determine the source of activity or to extract source time-courses for Granger causality analysis, previously. In this work, we utilize source imaging algorithms to both find the network nodes (regions of interest) and then extract the activation time series for further Granger causality analysis...
October 11, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28112458/plasticity-of-neonatal-neuronal-networks-in-very-premature-infants-source-localization-of-temporal-theta-activity-the-first-endogenous-neural-biomarker-in-temporoparietal-areas
#20
L Routier, M Mahmoudzadeh, M Panzani, H Azizollahi, S Goudjil, G Kongolo, F Wallois
Temporal theta slow-wave activity (TTA-SW) in premature infants is a specific signature of the early development of temporal networks, as it is observed at the turning point between non-sensory driven spontaneous local processing and cortical network functioning. The role in development and the precise location of TTA-SW remain unknown. Previous studies have demonstrated that preterms from 28 weeks of gestational age (wGA) are able to discriminate phonemes and voice, supporting the idea of a prior genetic structural or activity-dependent fingerprint that would prepare the auditory network to compute auditory information at the onset of thalamocortical connectivity...
January 23, 2017: Human Brain Mapping
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