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New Perspectives on the Use of Spatial Filters in Magnetoencephalographic Array Processing

Claudia Carolina Zaragoza Martínez, David Gutiérrez
2016 Journal of Computacion y Sistemas  
In particular, spatial filters are used in MEG signal processing to estimate the magnitude and location of the current sources within the brain.  ...  The increase in computer power of the last few decades has allowed the resurgence of the theory behind spatial filtering (a.k.a. beamforming) and its application to array signal processing.  ...  Acknowledgment This work was supported by the Mexican Council of Science and Technology (Conacyt) through Grant 220145.  ... 
doi:10.13053/cys-20-1-2185 fatcat:pvatuzuzffasdkdrd2txqsensm

A High Performance MEG Based BCI Using Single Trial Detection of Human Movement Intention [chapter]

Peter T., Kartikeya Sharma, Tom Holroyd, Harsha Battapady, Ding-Yu Fei, Ou Bai
2013 Functional Brain Mapping and the Endeavor to Understand the Working Brain  
S"M takes advantage of the spatial and temporal correlation of MEG sensor arrays and acts as a spatial filter to map three dimensional source power.  ...  "utomated localization of magnetoencephalographic interictal spikes by adaptive spatial filtering.  ... 
doi:10.5772/54550 fatcat:mgr5nk363bd4xa27g4z5q4dkdm

Mouth magnetoencephalography: A unique perspective on the human hippocampus [article]

Tim M Tierney, Andrew Levy, Daniel N Barry, Sofie S Meyer, Yoshihti Shigihara, Matt Everatt, Stephanie Mellor, Jose David Lopez, Sven Bestmann, Niall Holmes, Gillian Roberts, Ryan M Hill (+7 others)
2020 biorxiv/medrxiv   pre-print
We collected data using a previously validated hippocampal-dependent task to test the empirical utility of a mouth-based sensor, with an accompanying array of left and right temporal lobe OPMs.  ...  Traditional magnetoencephalographic (MEG) brain imaging scanners consist of a rigid sensor array surrounding the head; this means that they are maximally sensitive to superficial brain structures.  ...  Data analysis All OPM data were first acausally filtered 1-8 Hz using a 4th order Butterworth filter. The data were then epoched into 3 s blocks based on digitally recorded triggers.  ... 
doi:10.1101/2020.03.19.998641 fatcat:utdewuhwnjaxfcdssysb5iqjoy

Mouth magnetoencephalography: A unique perspective on the human hippocampus

Tim M. Tierney, Andrew Levy, Daniel N. Barry, Sofie S. Meyer, Yoshihito Shigihara, Matt Everatt, Stephanie Mellor, Jose David Lopez, Sven Bestmann, Niall Holmes, Gillian Roberts, Ryan M Hill (+7 others)
2020 NeuroImage  
We collected data using a previously validated hippocampal-dependent task to test the empirical utility of a mouth-based sensor, with an accompanying array of left and right temporal lobe OPMs.  ...  Traditional magnetoencephalographic (MEG) brain imaging scanners consist of a rigid sensor array surrounding the head; this means that they are maximally sensitive to superficial brain structures.  ...  Data analysis All OPM data were first acausally filtered 1-8 Hz using a 4th order Butterworth filter. The data were then epoched into 3 s blocks based on digitally recorded triggers.  ... 
doi:10.1016/j.neuroimage.2020.117443 pmid:33059052 pmcid:PMC8214102 fatcat:qf2bvvdxvrcwha5ipvwi6fjlxm

Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research

Cyril Pernet, Marta I Garrido, Alexandre Gramfort, Natasha Maurits, Christoph M Michel, Elizabeth Pang, Riitta Salmelin, Jan Mathijs Schoffelen, Pedro A Valdes-Sosa, Aina Puce
2020 Nature Neuroscience  
new developments in neurophysiological assessment methods and multimodal integration of neurophysiological data with other data types.  ...  The Organization for Human Brain Mapping (OHBM) has been active in advocating for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting and sharing of both data and  ...  Nichols for his insightful comments on an earlier draft of this Perspective.  ... 
doi:10.1038/s41593-020-00709-0 pmid:32958924 fatcat:l62id4rtc5awtp2mtbaroyy7qy

supFunSim: : spatial filtering toolbox for EEG [article]

Krzysztof Rykaczewski and Jan Nikadon and Włodzisław Duch and Tomasz Piotrowski
2019 arXiv   pre-print
This paper gives a complete overview of the toolbox from both developer and end-user perspectives, including description of the installation process and some use cases.  ...  Recognition and interpretation of brain activity patterns from EEG or MEG signals is one of the most important tasks in cognitive neuroscience, requiring sophisticated methods of signal processing.  ...  This study was supported by the National Science Center Poland, grant no. UMO-2016/20/W/NZ4/00354.  ... 
arXiv:1904.11948v1 fatcat:42l55vjfbndcnjl3kd44io5awm

supFunSim: Spatial Filtering Toolbox for EEG

Krzysztof Rykaczewski, Jan Nikadon, Włodzisław Duch, Tomasz Piotrowski
2020 Neuroinformatics  
This paper gives a complete overview of the toolbox from both developer and end-user perspectives, including description of the installation process and use cases.  ...  The SUPFUNSIM library is a new MATLAB toolbox which generates accurate EEG forward model and implements a collection of spatial filters for EEG source reconstruction, including the linearly constrained  ...  If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly  ... 
doi:10.1007/s12021-020-09464-w pmid:32564239 fatcat:lyanphl43rez5bj7dk7p3oqcqm

Temporal accuracy of human cortico-cortical interactions

Idan Tal, Moshe Abeles
2016 Journal of Neurophysiology  
Successful classification of two different cognitive processes based on these patterns suggests that at least some of the repeating patterns are specific to a cognitive process.  ...  The amplitudes of the cortical current dipoles were estimated by applying a variant of synthetic aperture magnetometry to magnetoencephalographic (MEG) recordings of subjects tapping to metric auditory  ...  GRANTS This research was supported in part by the I-CORE Program of the Planning and Budgeting Committee and The Israel Science Foundation Grant 51/11.  ... 
doi:10.1152/jn.00956.2015 pmid:26843604 pmcid:PMC4869482 fatcat:uiq5mewxhngjxb6m24xx2guile

On Independent Component Analysis for Multimedia Signals [chapter]

Thomas Kolenda, Jan Larsen, Lars Kai Hansen
2000 Multimedia Image and Video Processing  
Finally, we provide a detailed presentation of our own recent work on modeling combined text/image data for the purpose of cross-media retrieval.  ...  We review a number of applications within single and combined media with the hope that this might provide inspiration for further research in this area.  ...  Spatial separation, for example, is based on differences in direction of arrival, spectral separation, as in the Wiener filter, assumes that the sources have little spectral overlap, and finally independency  ... 
doi:10.1201/9781420037562.ch7 fatcat:weavyd2fj5hixj4zl65jatzqdy

Localization of epileptic foci in Children with childhood absence epilepsy by magnetoencephalography combined with synthetic aperture magnetometry

Xiuxiu Hu, Jingde Dong, Xiaoshan Wang, Ting Wu, Lu Yang, Xiaopeng Lu
2011 Journal of Biomedical Research  
Our findings indicate that MEG combined with SAM could be of diagnostic value in localizing the epileptic foci in certain CAE patients.  ...  This present study was aimed to investigate the localizable diagnostic value of magnetoencephalography (MEG) combined with synthetic aperture magnetometry (SAM) in childhood absence epilepsy (CAE).  ...  Recently developed SAM is a new MEG signal analysis introducing a high performance spatial filtering technique.  ... 
doi:10.1016/s1674-8301(11)60035-3 pmid:23554699 pmcid:PMC3597069 fatcat:bzlajmilcvd3dfmhmg55wnsa3a

Magnetoencephalography

Malcolm Proudfoot, Mark W Woolrich, Anna C Nobre, Martin R Turner
2014 Practical Neurology  
Contributors MP drafted the manuscript. MWW edited the manuscript. KN edited the manuscript. MRT conceived and edited the manuscript, and is guarantor of the content.  ...  This method, originally developed for use in radar arrays, corresponds to an adaptive spatial filter designed to extract the origins of a signal from some prespecified spatial location. 10 MEG data in  ...  design itself has evolved to meet some of the localisation challenges by using more than one pick-up coil in series.  ... 
doi:10.1136/practneurol-2013-000768 pmid:24647614 pmcid:PMC4174130 fatcat:yqi7ch4c2rcqvpwn6tnpct3nuu

Using a virtual cortical module implementing a neural field model to modulate brain rhythms in Parkinson's disease

Modolo
2010 Frontiers in Neuroscience  
We propose a new method for selective modulation of cortical rhythms based on neural field theory, in which the activity of a cortical area is extensively monitored using a two-dimensional microelectrode  ...  A new class of neuroprosthetic devices is also proposed, in which the multielectrode array is seen as an artificial neural network interacting with biological tissue.  ...  This estimated total input of the network for the last 100 ms is then filtered using a 9-11 Hz bandpass filter (centered on the 10 Hz target frequency).  ... 
doi:10.3389/fnins.2010.00045 pmid:20730081 pmcid:PMC2920509 fatcat:pab2omcgzfhotlic22ry6eujxy

Magnetoencephalographic Imaging of Resting-State Functional Connectivity Predicts Postsurgical Neurological Outcome in Brain Gliomas

Phiroz E. Tarapore, Juan Martino, Adrian G. Guggisberg, Julia Owen, Susanne M. Honma, Anne Findlay, Mitchel S. Berger, Heidi E. Kirsch, Srikantan S. Nagarajan
2012 Neurosurgery  
Neural activity was estimated using adaptive spatial filtering.  ...  Background-The removal of brain tumors in peri-eloquent or eloquent cortex risks causing new neurological deficits in patients.  ...  Acknowledgments Sources of financial support: This work was funded in part from NIH 5T32CA151022-02 (PET), R01 DC004855, DC006435, NS67962 and NIH/NCRR UCSF-CTSI grant UL1 RR024131 to SSN.  ... 
doi:10.1227/neu.0b013e31826d2b78 pmid:22895403 pmcid:PMC3761085 fatcat:at2y7x5cyreingin5tmzk6itwe

Generators of the intracranial P50 response in auditory sensory gating

Oleg Korzyukov, Mark E. Pflieger, Michael Wagner, Susan M. Bowyer, T. Rosburg, Karthik Sundaresan, Christian Erich Elger, Nashaat N. Boutros
2007 NeuroImage  
Present findings suggest that while the temporal lobe is the main generator of the P50 component, the frontal lobe seems to be a substantial contributor to the process of sensory gating as observed from  ...  To this end, data from 9 epilepsy patients who participated in an auditory paired-click paradigm during pre-surgical evaluation and had grids of electrodes covering temporal and frontal lobe were analyzed  ...  Acknowledgements This study was supported by grant from the NIH (R01 MH063476).  ... 
doi:10.1016/j.neuroimage.2006.12.011 pmid:17293126 pmcid:PMC1993359 fatcat:sc3cckx5vzflbcv7b6vtuqlos4

Adaptive neural network classifier for decoding MEG signals

Ivan Zubarev, Rasmus Zetter, Hanna-Leena Halme, Lauri Parkkonen
2019 NeuroImage  
Importantly, these models can successfully generalize to new subjects in real-time classification enabling more efficient brain-computer interfaces (BCI).  ...  Network design follows a generative model of the electromagnetic (EEG and MEG) brain signals allowing explorative analysis of neural sources informing classification.  ...  The spatial de-mixing layer in Figure 5 .2 learns a set of spatial filters that use spatial correlations across sensors to extract time courses of latent statistical sources.  ... 
doi:10.1016/j.neuroimage.2019.04.068 pmid:31059799 pmcid:PMC6609925 fatcat:orsoefql25hm7fexgqtakpki6y
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