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https://www.readbyqxmd.com/read/28529731/a-bayesian-supervised-dual-dimensionality-reduction-model-for-simultaneous-decoding-of-lfp-and-spike-train-signals
#1
Andrew Holbrook, Alexander Vandenberg-Rodes, Norbert Fortin, Babak Shahbaba
Neuroscientists are increasingly collecting multimodal data during experiments and observational studies. Different data modalities-such as EEG, fMRI, LFP, and spike trains-offer different views of the complex systems contributing to neural phenomena. Here, we focus on joint modeling of LFP and spike train data, and present a novel Bayesian method for neural decoding to infer behavioral and experimental conditions. This model performs supervised dual-dimensionality reduction: it learns low-dimensional representations of two different sources of information that not only explain variation in the input data itself, but also predict extra-neuronal outcomes...
2017: Stat: the ISI's Journal for Rapid Dissemination of Statistics Research
https://www.readbyqxmd.com/read/28529472/a-comparative-study-of-average-linked-mastoid-and-rest-references-for-erp-components-acquired-during-fmri
#2
Ping Yang, Chenggui Fan, Min Wang, Ling Li
In simultaneous electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) studies, average reference (AR), and digitally linked mastoid (LM) are popular re-referencing techniques in event-related potential (ERP) analyses. However, they may introduce their own physiological signals and alter the EEG/ERP outcome. A reference electrode standardization technique (REST) that calculated a reference point at infinity was proposed to solve this problem. To confirm the advantage of REST in ERP analyses of synchronous EEG-fMRI studies, we compared the reference effect of AR, LM, and REST on task-related ERP results of a working memory task during an fMRI scan...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28473762/unimodal-versus-bimodal-eeg-fmri-neurofeedback-of-a-motor-imagery-task
#3
Lorraine Perronnet, Anatole Lécuyer, Marsel Mano, Elise Bannier, Fabien Lotte, Maureen Clerc, Christian Barillot
Neurofeedback is a promising tool for brain rehabilitation and peak performance training. Neurofeedback approaches usually rely on a single brain imaging modality such as EEG or fMRI. Combining these modalities for neurofeedback training could allow to provide richer information to the subject and could thus enable him/her to achieve faster and more specific self-regulation. Yet unimodal and multimodal neurofeedback have never been compared before. In the present work, we introduce a simultaneous EEG-fMRI experimental protocol in which participants performed a motor-imagery task in unimodal and bimodal NF conditions...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28445839/temporal-lobe-spikes-eeg-fmri-contributions-to-the-mesial-vs-lateral-debate
#4
Satsuki Watanabe, François Dubeau, Natalja Zazubovits, Jean Gotman
OBJECTIVE: It has been reported that interictal epileptic discharges (IEDs) recorded in temporal regions on scalp EEG are unlikely to originate from mesial temporal structures. However, EEG-fMRI sometimes show mesial temporal activation. We hypothesized that BOLD activation in the temporal neocortex is weaker than in the mesial structures, reflecting the fact that propagated activity has less metabolic demand than the original discharge. METHODS: Twelve patients with epilepsy who have BOLD response in mesial temporal structures were selected from our EEG-fMRI database...
June 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28422976/reactivation-or-transformation-motor-memory-consolidation-associated-with-cerebral-activation-time-locked-to-sleep-spindles
#5
Stuart Fogel, Genevieve Albouy, Bradley R King, Ovidiu Lungu, Catherine Vien, Arnaud Bore, Basile Pinsard, Habib Benali, Julie Carrier, Julien Doyon
Motor memory consolidation is thought to depend on sleep-dependent reactivation of brain areas recruited during learning. However, up to this point, there has been no direct evidence to support this assertion in humans, and the physiological processes supporting such reactivation are unknown. Here, simultaneous electroencephalographic and functional magnetic resonance imaging (EEG-fMRI) recordings were conducted during post-learning sleep to directly investigate the spindle-related reactivation of a memory trace formed during motor sequence learning (MSL), and its relationship to overnight enhancement in performance (reflecting consolidation)...
2017: PloS One
https://www.readbyqxmd.com/read/28361421/dynamics-of-interaction-of-neural-networks-in-the-course-of-eeg-alpha-biofeedback
#6
L I Kozlova, D D Bezmaternykh, M E Mel'nikov, A A Savelov, E D Petrovskii, M B Shtark
Brain EEG-fMRI activity was studied in subjects, who had successfully completed the EEG alpha stimulating training course (20 sessions): for 14 healthy men (20-35 years) three records were obtained in the feedback loop (biofeedback with EEG alpha rhythm with sound reinforcement): in the beginning, middle and at the end of the course. During alpha training, increased functional connectivity was revealed between precuneus network and anterior salience network, left executive control network, default mode network, primary visual network; anterior salience network and executive control network, visual-spatial network...
March 31, 2017: Bulletin of Experimental Biology and Medicine
https://www.readbyqxmd.com/read/28359223/epileptic-discharge-related-functional-connectivity-within-and-between-networks-in-benign-epilepsy-with-centrotemporal-spikes
#7
Rong Li, Gong-Jun Ji, Yangyang Yu, Yang Yu, Mei-Ping Ding, Ye-Lei Tang, Huafu Chen, Wei Liao
Benign epilepsy with centrotemporal spikes (BECTS) is a common childhood epilepsy syndrome associated with abnormalities in neurocognitive domains, particularly during interictal epileptiform discharges (IEDs). Here, we investigated the effects of IEDs on brain's intrinsic connectivity networks in 43 BECTS patients and 28 matched healthy controls (HCs). Patients were further divided into IED and non-IED subgroups based on simultaneous EEG-fMRI recordings. Functional connectivity within and between five networks, corresponding to seizure origination and cognitive processes, were analyzed to measure IED effects...
January 10, 2017: International Journal of Neural Systems
https://www.readbyqxmd.com/read/28295228/cognitive-network-reorganization-following-surgical-control-of-seizures-in-lennox-gastaut-syndrome
#8
Aaron E L Warren, A Simon Harvey, David F Abbott, Simon J Vogrin, Catherine Bailey, Andrew Davidson, Graeme D Jackson, John S Archer
We previously observed that adults with Lennox-Gastaut syndrome (LGS) show abnormal functional connectivity among cognitive networks, suggesting that this may contribute to impaired cognition. Herein we report network reorganization following seizure remission in a child with LGS who underwent functional magnetic resonance imaging (fMRI) before and after resection of a cortical dysplasia. Concurrent electroencephalography (EEG) was acquired during presurgical fMRI. Presurgical and postsurgical functional connectivity were compared using (1) graph theoretical analyses of small-world network organization and node-wise strength; and (2) seed-based analyses of connectivity within and between five functional networks...
March 11, 2017: Epilepsia
https://www.readbyqxmd.com/read/28294306/the-hemodynamic-response-to-interictal-epileptic-discharges-localizes-the-seizure-onset-zone
#9
Hui Ming Khoo, Yongfu Hao, Nicolás von Ellenrieder, Natalja Zazubovits, Jeffery Hall, André Olivier, François Dubeau, Jean Gotman
OBJECTIVE: Intracranial electroencephalography (EEG), performed presurgically in patients with drug-resistant and difficult-to-localize focal epilepsy, samples only a small fraction of brain tissue and thus requires strong hypotheses regarding the possible localization of the epileptogenic zone. EEG/fMRI (functional magnetic resonance imaging), a noninvasive tool resulting in hemodynamic responses, could contribute to the generation of these hypotheses. This study assessed how these responses, despite their interictal origin, predict the seizure-onset zone (SOZ)...
March 15, 2017: Epilepsia
https://www.readbyqxmd.com/read/28269689/designing-and-testing-a-wearable-wireless-fnirs-patch
#10
Mohammadreza Abtahi, Gozde Cay, Manob Jyoti Saikia, Kunal Mankodiya
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/28265244/contributions-of-eeg-fmri-to-assessing-the-epileptogenicity-of-focal-cortical-dysplasia
#11
Francesca Pittau, Lorenzo Ferri, Firas Fahoum, François Dubeau, Jean Gotman
Purpose: To examine the ability of the BOLD response to EEG spikes to assess the epileptogenicity of the lesion in patients with focal cortical dysplasia (FCD). Method: Patients with focal epilepsy and FCD who underwent 3T EEG-fMRI from 2006 to 2010 were included. Diagnosis of FCD was based on neuroradiology (MRI+), or histopathology in MRI-negative cases (MRI-). Patients underwent 120 min EEG-fMRI recording session. Spikes similar to those recorded outside the scanner were marked in the filtered EEG. The lesion (in MRI+) or the removed cortex (in MRI-) was marked on the anatomical T1 sequence, blindly to the BOLD response, after reviewing the FLAIR images...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28253082/multimodal-imaging-evidence-for-a-frontoparietal-modulation-of-visual-cortex-during-the-selective-processing-of-conditioned-threat
#12
Nathan M Petro, L Forest Gruss, Siyang Yin, Haiqing Huang, Vladimir Miskovic, Mingzhou Ding, Andreas Keil
Emotionally salient cues are detected more readily, remembered better, and evoke greater visual cortical responses compared with neutral stimuli. The current study used concurrent EEG-fMRI recordings to identify large-scale network interactions involved in the amplification of visual cortical activity when viewing aversively conditioned cues. To generate a continuous neural signal from pericalcarine visual cortex, we presented rhythmic (10/sec) phase-reversing gratings, the orientation of which predicted the presence (CS+) or absence (CS-) of a cutaneous electric shock (i...
June 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28227950/designing-and-testing-a-wearable-wireless-fnirs-patch
#13
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
#14
Abhrajeet V Roy, Keith W Jamison, Sheng He, Stephen A 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 20, 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
#15
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
#16
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
#17
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...
April 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
#18
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
#19
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
#20
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
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