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High precision anatomy for MEG

Luzia Troebinger, José David López, Antoine Lutti, David Bradbury, Sven Bestmann, Gareth Barnes
2014 NeuroImage  
Precise MEG estimates of neuronal current flow are undermined by uncertain knowledge of the head location with respect to the MEG sensors.  ...  We show that at this level of coregistration accuracy there is strong evidence for anatomical models based on the individual rather than canonical anatomy; but that this advantage disappears for errors  ...  Furthermore, we would like to thank Mark Tillotson and MEG International Services Ltd for supplying specific digital info on the CTF MEG system (dewar surface file, calibration coil locations), as well  ... 
doi:10.1016/j.neuroimage.2013.07.065 pmid:23911673 pmcid:PMC3898940 fatcat:uvsm3lxqc5d35fplhpf773bqw4

Dynamic functional connectivity

Andreas A Ioannides
2007 Current Opinion in Neurobiology  
Pattern analysis methods now offer a principled way for constructing such network hierarchies.  ...  I also thank Mari Aoki for help during the preparation of the manuscript and Daniel Palomo for redaction and helpful discussions.  ...  Network models are attractive tools for studying brain organization: they provide a common framework for describing the connectivity of distinct brain areas at the level of anatomy and function, drawing  ... 
doi:10.1016/j.conb.2007.03.008 pmid:17379500 fatcat:4msvaswltbcgpnlyggftheqcnm

Automated detection of epileptic ripples in MEG using beamformer-based virtual sensors

Carolina Migliorelli, Joan F Alonso, Sergio Romero, Rafał Nowak, Antonio Russi, Miguel A Mañanas
2017 Journal of Neural Engineering  
We thank Sylvain Baillet and its group NeuroSpeed (Montreal Neurological Institute, McGill University) for the help and comments during the course of this research that greatly improved this work.  ...  supported by the Ministry of Economy and Competitiveness (MINECO), Spain, under contract DPI2014-59049-R and the Ministry of Education, Culture and Sports (MECD) FPU12/05631 and Fundación BBVA grants for  ...  The automatic analysis was performed in iEEG and the values for two thresholds were selected for MEG-VS to achieve a maximum F1 score; in other words, the weighted average of precision and recall measures  ... 
doi:10.1088/1741-2552/aa684c pmid:28327467 fatcat:2zq5soxlazcg7lddlphqppxe3q

High-precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat

Athina Tzovara, Sofie S. Meyer, James J. Bonaiuto, Aslan Abivardi, Raymond J. Dolan, Gareth R. Barnes, Dominik R. Bach
2019 Human Brain Mapping  
Here, we used high-precision magnetoencephalography (MEG) during human discriminant delay threat conditioning.  ...  Our results suggest that high-precision MEG is sensitive to neural activity of the human amygdala and hippocampus during threat conditioning and shed light on the oscillation-mediated mechanisms underpinning  ...  Here, we used headcasts to maximise SNR in order to get a precise estimate of a participant's anatomy with respect to the MEG sensors (Meyer, Bonaiuto, et al., 2017) .  ... 
doi:10.1002/hbm.24689 pmid:31257708 pmcid:PMC6772181 fatcat:fiseswzrlrdgxgqfkqwkfuiooi

Statistical power: implications for planning MEG studies [article]

Maximilien Chaumon, Aina Puce, Nathalie George
2019 bioRxiv   pre-print
Statistical power is key for robust, replicable science. Here, we systematically explored how numbers of trials and subjects affect statistical power in MEG sensor-level data.  ...  Finally, we note that this variation in detectability may also partly account for the over-representation of some fields of study over others in the MEG domain (e.g. sensorimotor and auditory studies).  ...  In simulations constrained by individual brain anatomy, the distance to the closest sensor for a given source was measured on the individual anatomy in each subject .  ... 
doi:10.1101/852202 fatcat:2n4lzaj42jd5ng6u5n7ry5pida

Brainstorm: A User-Friendly Application for MEG/EEG Analysis

François Tadel, Sylvain Baillet, John C. Mosher, Dimitrios Pantazis, Richard M. Leahy
2011 Computational Intelligence and Neuroscience  
Brainstorm is a collaborative open-source application dedicated to magnetoencephalography (MEG) and electroencephalography (EEG) data visualization and processing, with an emphasis on cortical source estimation  ...  The primary objective of the software is to connect MEG/EEG neuroscience investigators with both the best-established and cutting-edge methods through a simple and intuitive graphical user interface (GUI  ...  Primary support also includes permanent site support from the Centre National de la Recherche Scientifique (CNRS, France) for the Cognitive Neuroscience and Brain Imaging Laboratory (La Salpêtrière Hospital  ... 
doi:10.1155/2011/879716 pmid:21584256 pmcid:PMC3090754 fatcat:kcxl65jo7rel3k4rj5umc62yde

Statistical power: implications for planning MEG studies

Maximilien Chaumon, Aina Puce, Nathalie George
2021 NeuroImage  
Statistical power is key for robust, replicable science. Here, we systematically explored how numbers of trials and subjects affect statistical power in MEG sensor-level data.  ...  We thus also performed simulations where we controlled spatial properties independently of individual anatomy.  ...  Acknowledgments MC and NG work on the CENIR MEG-EEG platform at the Paris Brain Institute, which has received infrastructure funding from the programs " Investissements d'avenir" ANR-10-IAIHU-06 and ANR  ... 
doi:10.1016/j.neuroimage.2021.117894 pmid:33737245 fatcat:vdixgvbryrevtiggbygr467ncy

Redefining the role of Magnetoencephalography in refractory epilepsy

Umesh Vivekananda
2020 Seizure  
using optically pumped magnetometers, as well as improved post processing of the data during interictal and ictal activity for accurate source localisation of the epileptogenic focus.  ...  This review highlights the recent progress of MEG within epilepsy, including advances in the technique itself such as simultaneous EEG/MEG and intracranial EEG/MEG recording and room temperature MEG recording  ...  MEG has been used to inform invasive intracranial electroencephalography planning, viewed as the gold standard for precise localisation of the epileptogenic zone, in up to a third of patients [7] with  ... 
doi:10.1016/j.seizure.2020.10.010 pmid:33096459 fatcat:4646un4tsbaihmlxktsohjstai

Adding dynamics to the Human Connectome Project with MEG

L.J. Larson-Prior, R. Oostenveld, S. Della Penna, G. Michalareas, F. Prior, A. Babajani-Feremi, J.-M. Schoffelen, L. Marzetti, F. de Pasquale, F. Di Pompeo, J. Stout, M. Woolrich (+7 others)
2013 NeuroImage  
High quality MEG data will be collected from 50 twin pairs both in the resting state and during performance of motor, working memory and language tasks.  ...  Additionally, using the cortical parcellation scheme common to all imaging modalities, the HCP will provide processing pipelines for calculating connection matrices as a function of time and frequency.  ...  Nevertheless BOLD activation maps with their high spatial resolution are used in many studies as priors for MEG inverse solutions.  ... 
doi:10.1016/j.neuroimage.2013.05.056 pmid:23702419 pmcid:PMC3784249 fatcat:2tj34hturfelthuhbcrxuivpfy

Quantifying the performance of MEG source reconstruction using resting state data [article]

Simon J Little, James Bonaiuto, Sofie Meyer, Jose Lopez, Sven Bestmann, Gareth Barnes
2018 bioRxiv   pre-print
Here we validate a non-invasive method for quantifying the resolution of different inversion assumptions under different recording regimes (with and without head-casts) based on resting state MEG.  ...  To test the anatomical precision that could be resolved through these transient states we then inverted these data onto libraries of systematically distorted, subject specific, cortical meshes and compared  ...  Using this method, we demonstrate a notably high sensitivity (<4mm) to underlying 429 anatomical distortion and also provide evidence for the anatomical validity of cortical sources in 430 MEG source inversion  ... 
doi:10.1101/248252 fatcat:bcgvue4fx5dknhyh3vxyrjvec4

Transcranial electric stimulation (tES) and NeuroImaging: the state-of-the-art, new insights and prospects in basic and clinical neuroscience

Surjo R. Soekadar, Jim Don Herring, David McGonigle
2016 NeuroImage  
implications for evidence--based use of this technique in a clinical context.  ...  Being an appealing tool to manipulate brain electric or magnetic activity to study its functional role, tES also promises to allow for purposeful modulation of brain function and behavior, with all associated  ...  show that this model outperforms finite element models (FEM) of mismatched individual anatomies as well as the boundary element models (BEM) of the ICBM anatomy.  ... 
doi:10.1016/j.neuroimage.2016.08.020 pmid:27633745 fatcat:wi6p2vj2ofhn5koaaxfk6git3i

The value of magnetoencephalography for seizure-onset zone localization in magnetic resonance imaging-negative partial epilepsy

Julien Jung, Romain Bouet, Claude Delpuech, Philippe Ryvlin, Jean Isnard, Marc Guenot, Olivier Bertrand, Alexander Hammers, François Mauguière
2013 Brain  
However, surgery is feasible if the seizure-onset zone is precisely delineated through intracranial electroencephalography recording.  ...  Surgical treatment of epilepsy is a challenge for patients with non-contributive brain magnetic resonance imaging.  ...  Funding Support to this study was provided through grants from the PHRC 27-11 (Programme Hospitalier de Recherche Clinique) 'High Frequency oscillations in Magneto-EncephaloGraphy (MEG): diagnostic usefulness  ... 
doi:10.1093/brain/awt213 pmid:24014520 pmcid:PMC3784280 fatcat:ub2hh654svcg3crjzohaaxtcq4

How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging

Nicholas L. Balderston, Douglas H. Schultz, Sylvain Baillet, Fred J. Helmstetter
2013 Journal of Visualized Experiments  
For instance, by using source imaging to model hippocampal activity, it may be possible recover MEG signal from hippocampal sources during tasks like spatial navigation.  ...  By collecting highresolution MRI images of the subject's brain, it is possible to create a source model based on individual neural anatomy.  ... 
doi:10.3791/50212 pmid:23770774 pmcid:PMC3726041 fatcat:cpdibt5zzjcjnpkqw7ipzwqfhm

Assessment of Effective Network Connectivity among MEG None Contaminated Epileptic Transitory Events

Abir Hadriche, Ichrak Behy, Amal Necibi, Abdennaceur Kachouri, Chokri Ben Amar, Nawel Jmail, Jlenia Toppi
2021 Computational and Mathematical Methods in Medicine  
We validated our technique on MEG signal using detector precision on 5 patients.  ...  Clinical performance was interesting for entire methods providing in an average of 73.5% of active sources detected in depth and seen in MEG, and vice versa, about 77.15% of active sources were detected  ...  Martine Gavaret for the useful discussions, detection, classification, and validation of interictal epileptiform discharges. The authors thank Pr. Said Noureddine Zerhouni (ENSMM Besançon, France).  ... 
doi:10.1155/2021/6406362 pmid:34992674 pmcid:PMC8727131 fatcat:buzbglrxgzamletimchcmuob7q

Optimising experimental design for MEG resting state functional connectivity measurement

Lucrezia Liuzzi, Lauren E. Gascoyne, Prejaas K. Tewarie, Eleanor L. Barratt, Elena Boto, Matthew J. Brookes
2017 NeuroImage  
Our results provide important insights on experimental design and will prove valuable for future MEG connectivity studies.  ...  Such robustness is critical if MEG measures in individual subjects are to prove clinically valuable.  ...  Importantly (and perhaps counterintuitively) as SNR is increased, the requirement for high spatial precision also increases.  ... 
doi:10.1016/j.neuroimage.2016.11.064 pmid:27903441 fatcat:bounhk3dqbgzfpcwdiu4sw4fta
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