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https://www.readbyqxmd.com/read/28227950/designing-and-testing-a-wearable-wireless-fnirs-patch
#1
Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya, Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya, Manob Jyoti Saikia, Kunal Mankodiya, Gozde Cay, Mohammadreza Abtahi
Optical brain monitoring using near infrared (NIR) light has got a lot of attention in order to study the complexity of the brain due to several advantages as oppose to other methods such as EEG, fMRI and PET. There are a few commercially available functional NIR spectroscopy (fNIRS) brain monitoring systems, but they are still non-wearable and pose difficulties in scanning the brain while the participants are in motion. In this work, we present our endeavors to design and test a low-cost, wireless fNIRS patch using NIR light sources at wavelengths of 770 and 830nm, photodetectors and a microcontroller to trigger the light sources, read photodetector's output and transfer data wirelessly (via Bluetooth) to a smart-phone...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28219776/deactivation-in-the-posterior-mid-cingulate-cortex-reflects-perceptual-transitions-during-binocular-rivalry-evidence-from-simultaneous-eeg-fmri
#2
Abhrajeet Roy, Keith Jamison, Sheng He, Steve Engel, Bin He
Binocular rivalry is a phenomenon in which perception spontaneously shifts between two different images that are dichoptically presented to the viewer. By elucidating the cortical networks responsible for these stochastic fluctuations in perception, we can potentially learn much about the neural correlates of visual awareness. We obtained concurrent EEG-fMRI data for a group of 20 healthy human subjects during the continuous presentation of dichoptic visual stimuli. The two eyes' images were tagged with different temporal frequencies so that eye specific steady-state visual evoked potential (SSVEP) signals could be extracted from the EEG data for direct comparison with changes in fMRI BOLD activity associated with binocular rivalry...
February 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28194612/simultaneous-intracranial-eeg-fmri-shows-inter-modality-correlation-in-time-resolved-connectivity-within-normal-areas-but-not-within-epileptic-regions
#3
Ben Ridley, Jonathan Wirsich, Gaelle Bettus, Roman Rodionov, Teresa Murta, Umair Chaudhary, David Carmichael, Rachel Thornton, Serge Vulliemoz, Andrew McEvoy, Fabrice Wendling, Fabrice Bartolomei, Jean-Philippe Ranjeva, Louis Lemieux, Maxime Guye
For the first time in research in humans, we used simultaneous icEEG-fMRI to examine the link between connectivity in haemodynamic signals during the resting-state (rs) and connectivity derived from electrophysiological activity in terms of the inter-modal connectivity correlation (IMCC). We quantified IMCC in nine patients with drug-resistant epilepsy (i) within brain networks in 'healthy' non-involved cortical zones (NIZ) and (ii) within brain networks involved in generating seizures and interictal spikes (IZ1) or solely spikes (IZ2)...
February 13, 2017: Brain Topography
https://www.readbyqxmd.com/read/28185050/a-unified-canonical-correlation-analysis-based-framework-for-removing-gradient-artifact-in-concurrent-eeg-fmri-recording-and-motion-artifact-in-walking-recording-from-eeg-signal
#4
Junhua Li, Yu Chen, Fumihiko Taya, Julian Lim, Kianfoong Wong, Yu Sun, Anastasios Bezerianos
Artifacts cause distortion and fuzziness in electroencephalographic (EEG) signal and hamper EEG analysis, so it is necessary to remove them prior to the analysis. Particularly, artifact removal becomes a critical issue in experimental protocols with significant inherent recording noise, such as mobile EEG recordings and concurrent EEG-fMRI acquisitions. In this paper, we proposed a unified framework based on canonical correlation analysis for artifact removal. Raw signals were reorganized to construct a pair of matrices, based on which sources were sought through maximizing autocorrelation...
February 9, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28155841/reference-layer-adaptive-filtering-rlaf-for-eeg-artifact-reduction-in-simultaneous-eeg-fmri
#5
David Steyrl, Gunther Krausz, Karl Koschutnig, Günter Edlinger, Gernot R Müller-Putz
OBJECTIVE: Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) combines advantages of both methods, namely high temporal resolution of EEG and high spatial resolution of fMRI. However, EEG quality is limited due to severe artifacts caused by fMRI scanners. APPROACH: To improve EEG data quality substantially, we introduce methods that use a reusable reference layer EEG cap prototype in combination with adaptive filtering. The first method, reference layer adaptive filtering (RLAF), uses adaptive filtering with reference layer artifact data to optimize artifact subtraction from EEG...
February 3, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28140398/theta-and-high-beta-networks-for-feedback-processing-a-simultaneous-eeg-fmri-study-in-healthy-male-subjects
#6
C Andreou, H Frielinghaus, J Rauh, M Mußmann, S Vauth, P Braun, G Leicht, C Mulert
The reward system is important in assessing outcomes to guide behavior. To achieve these purposes, its core components interact with several brain areas involved in cognitive and emotional processing. A key mechanism suggested to subserve these interactions is oscillatory activity, with a prominent role of theta and high-beta oscillations. The present study used single-trial coupling of simultaneously recorded electroencephalography and functional magnetic resonance imaging data to investigate networks associated with oscillatory responses to feedback during a two-choice gambling task in healthy male participants (n=19)...
January 31, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28123019/cortical-correlates-of-the-auditory-frequency-following-and-onset-responses-eeg-and-fmri-evidence
#7
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/28116239/characterization-of-functional-brain-activity-and-connectivity-using-eeg-and-fmri-in-patients-with-sickle-cell-disease
#8
Michelle Case, Huishi Zhang, John Mundahl, Yvonne Datta, Stephen Nelson, Kalpna Gupta, Bin He
Sickle cell disease (SCD) is a red blood cell disorder that causes many complications including life-long pain. Treatment of pain remains challenging due to a poor understanding of the mechanisms and limitations to characterize and quantify pain. In the present study, we examined simultaneously recording functional MRI (fMRI) and electroencephalogram (EEG) to better understand neural connectivity as a consequence of chronic pain in SCD patients. We performed independent component analysis and seed-based connectivity on fMRI data...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28109990/ictal-eeg-fmri-study-of-vertiginous-seizures
#9
Alessandra Morano, Marco Carnì, Sara Casciato, Anna Elisabetta Vaudano, Jinane Fattouch, Martina Fanella, Mariarita Albini, Luca Manfredi Basili, Giulia Lucignani, Marco Scapeccia, Regina Tomassi, Elisabetta Di Castro, Claudio Colonnese, Anna Teresa Giallonardo, Carlo Di Bonaventura
Vertigo and dizziness are extremely common complaints, related to either peripheral or central nervous system disorders. Among the latter, epilepsy has to be taken into consideration: indeed, vertigo may be part of the initial aura of a focal epileptic seizure in association with other signs/symptoms, or represent the only ictal manifestation, a rare phenomenon known as "vertiginous" or "vestibular" seizure. These ictal symptoms are usually related to a discharge arising from/involving temporal or parietal areas, which are supposed to be a crucial component of the so-called "vestibular cortex"...
January 18, 2017: Epilepsy & Behavior: E&B
https://www.readbyqxmd.com/read/28104438/safety-of-externally-stimulated-intracranial-electrodes-during-functional-mri-at-1-5t
#10
Pallab K Bhattacharyya, Jeffery Mullin, Bryan S Lee, Jorge A Gonzalez-Martinez, Stephen E Jones
Surgical resection of the epileptogenic zone (EZ) is a potential cure for medically refractory focal epilepsy. Proper identification of the EZ is essential for such resection. Synergistic application of functional magnetic resonance imaging (fMRI) simultaneously with stimulation of a single externalized intracranial stereotactic EEG (SEEG) electrode has the potential to improve identification of the EZ. While most EEG-fMRI studies use the electrodes passively to record electrical activity, it is possible to stimulate the brain using the electrodes by connecting them with conducting cables to the stimulation hardware...
January 16, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28041692/neurofeedback-one-of-today-s-techniques-in-psychiatry
#11
M Arns, J-M Batail, S Bioulac, M Congedo, C Daudet, D Drapier, T Fovet, R Jardri, M Le-Van-Quyen, F Lotte, D Mehler, J-A Micoulaud-Franchi, D Purper-Ouakil, F Vialatte
OBJECTIVES: Neurofeedback is a technique that aims to teach a subject to regulate a brain parameter measured by a technical interface to modulate his/her related brain and cognitive activities. However, the use of neurofeedback as a therapeutic tool for psychiatric disorders remains controversial. The aim of this review is to summarize and to comment the level of evidence of electroencephalogram (EEG) neurofeedback and real-time functional magnetic resonance imaging (fMRI) neurofeedback for therapeutic application in psychiatry...
December 29, 2016: L'Encéphale
https://www.readbyqxmd.com/read/28017737/application-of-polymer-sensitive-mri-sequence-to-localization-of-eeg-electrodes
#12
Russell Butler, Guillaume Gilbert, Maxime Descoteaux, Pierre-Michel Bernier, Kevin Whittingstall
BACKGROUND: The growing popularity of simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) opens up the possibility of imaging EEG electrodes while the subject is in the scanner. Such information could be useful for improving the fusion of EEG-fMRI datasets. NEW METHOD: Here, we report for the first time how an ultra-short echo time (UTE) MR sequence can image the materials of an MR-compatible EEG cap, finding that electrodes and some parts of the wiring are visible in a high resolution UTE...
December 23, 2016: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/27935575/visual-brain-activity-patterns-classification-with-simultaneous-eeg-fmri-a-multimodal-approach
#13
Rana Fayyaz Ahmad, Aamir Saeed Malik, Nidal Kamel, Faruque Reza, Hafeez Ullah Amin, Muhammad Hussain
BACKGROUND: Classification of the visual information from the brain activity data is a challenging task. Many studies reported in the literature are based on the brain activity patterns using either fMRI or EEG/MEG only. EEG and fMRI considered as two complementary neuroimaging modalities in terms of their temporal and spatial resolution to map the brain activity. For getting a high spatial and temporal resolution of the brain at the same time, simultaneous EEG-fMRI seems to be fruitful...
December 2, 2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27917119/corrigendum-multisensory-integration-of-dynamic-emotional-faces-and-voices-method-for-simultaneous-eeg-fmri-measurements
#14
Patrick D Schelenz, Martin Klasen, Barbara Reese, Christina Regenbogen, Dhana Wolf, Yutaka Kato, Klaus Mathiak
[This corrects the article on p. 729 in vol. 7, PMID: 24294195.].
2016: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/27803816/eeg-source-imaging-guided-by-spatiotemporal-specific-fmri-toward-an-understanding-of-dynamic-cognitive-processes
#15
Thinh Nguyen, Thomas Potter, Trac Nguyen, Christof Karmonik, Robert Grossman, Yingchun Zhang
Understanding the mechanism of neuroplasticity is the first step in treating neuromuscular system impairments with cognitive rehabilitation approaches. To characterize the dynamics of the neural networks and the underlying neuroplasticity of the central motor system, neuroimaging tools with high spatial and temporal accuracy are desirable. EEG and fMRI stand among the most popular noninvasive neuroimaging modalities with complementary features, yet achieving both high spatial and temporal accuracy remains a challenge...
2016: Neural Plasticity
https://www.readbyqxmd.com/read/27788127/eeg-fmri-bayesian-framework-for-neural-activity-estimation-a-simulation-study
#16
Pierpaolo Croce, Alessio Basti, Laura Marzetti, Filippo Zappasodi, Cosimo Del Gratta
OBJECTIVE: Due to the complementary nature of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), and given the possibility of simultaneous acquisition, the joint data analysis can afford a better understanding of the underlying neural activity estimation. In this simulation study we want to show the benefit of the joint EEG-fMRI neural activity estimation in a Bayesian framework. APPROACH: We built a dynamic Bayesian framework in order to perform joint EEG-fMRI neural activity time course estimation...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27777001/implantable-rf-coil-with-multiple-electrodes-for-long-term-eeg-fmri-monitoring-in-rodents
#17
Tiina Pirttimäki, Raimo A Salo, Artem Shatillo, Mikko I Kettunen, Jaakko Paasonen, Alejandra Sierra, Kimmo Jokivarsi, Ville Leinonen, Pedro Andrade, Simon Quittek, Asla Pitkänen, Olli Gröhn
BACKGROUND: Simultaneous EEG-fMRI is a valuable tool in the clinic as it provides excellent temporal and spatial information about normal and diseased brain function. In pre-clinical research with small rodents, obtaining simultaneous EEG-fMRI in longitudinal studies faces a number of challenges, including issues related to magnetic susceptibility artifacts. NEW METHOD: Here, we demonstrate a method for permanent MRI RF-coil and EEG electrode implantation in rats that is suitable for long-term chronic follow-up studies in both stimulus and resting-state fMRI paradigms...
December 1, 2016: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/27763967/functional-mri-correlates-of-resting-state-temporal-theta-and-delta-eeg-rhythms
#18
Rohit A Marawar, Hsiang J Yeh, Christopher J Carnabatu, John M Stern
PURPOSE: The EEG rhythms demonstrate changes in frequency and power with spontaneous changes in behavioral state that do not have well-understood metabolic correlates within the brain. To investigate this question and compare the temporal lobe theta and delta rhythms, resting-state functional MRI was obtained with simultaneous EEG. METHODS: Simultaneous EEG-functional MRI was recorded from 14 healthy sleep-deprived subjects in awake and drowsy states. Scalp electrodes corresponding to bilateral temporal lobes were used to calculate delta and theta band power...
January 2017: Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society
https://www.readbyqxmd.com/read/27761491/-eyes-open-eyes-closed-eeg-fmri-data-set-including-dedicated-carbon-wire-loop-motion-detection-channels
#19
Johan van der Meer, André Pampel, Eus van Someren, Jennifer Ramautar, Ysbrand van der Werf, German Gomez-Herrero, Jöran Lepsien, Lydia Hellrung, Hermann Hinrichs, Harald Möller, Martin Walter
This data set contains electroencephalography (EEG) data as well as simultaneous EEG with functional magnetic resonance imaging (EEG/fMRI) data. During EEG/fMRI, the EEG cap was outfitted with a hardware-based add-on consisting of carbon-wire loops (CWL). These yielded six extra׳CWL׳ signals related to Faraday induction of these loops in the main magnetic field "Measurement and reduction of motion and ballistocardiogram artefacts from simultaneous EEG and fMRI recordings" (Masterton et al., 2007) [1]. In this data set, the CWL data make it possible to do a direct regression approach to deal with the BCG and specifically He artifact...
June 2016: Data in Brief
https://www.readbyqxmd.com/read/27733821/building-an-eeg-fmri-multi-modal-brain-graph-a-concurrent-eeg-fmri-study
#20
Qingbao Yu, Lei Wu, David A Bridwell, Erik B Erhardt, Yuhui Du, Hao He, Jiayu Chen, Peng Liu, Jing Sui, Godfrey Pearlson, Vince D Calhoun
The topological architecture of brain connectivity has been well-characterized by graph theory based analysis. However, previous studies have primarily built brain graphs based on a single modality of brain imaging data. Here we develop a framework to construct multi-modal brain graphs using concurrent EEG-fMRI data which are simultaneously collected during eyes open (EO) and eyes closed (EC) resting states. FMRI data are decomposed into independent components with associated time courses by group independent component analysis (ICA)...
2016: Frontiers in Human Neuroscience
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