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Task-related MEG source localization via discriminant analysis

Jinyin Zhang, G. Sudre, Xin Li, Wei Wang, D. J. Weber, A. Bagic
2011 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
In this paper, we propose a novel discriminant pattern source localization (DPSL) method to analyze MEG data.  ...  To investigate the neural activity corresponding to different cognitive states, it is of great importance to localize the cortical areas that are associated with task-related modulation.  ...  Task-Related MEG Source Localization via Discriminant Analysis A.  ... 
doi:10.1109/iembs.2011.6090657 pmid:22254813 dblp:conf/embc/ZhangSLWWB11 fatcat:2hgpwpcqx5frrj24f6qgnzmbgy

Auditory Cortical Plasticity in Learning to Discriminate Modulation Rate

V. van Wassenhove, S. S. Nagarajan
2007 Journal of Neuroscience  
Here, we trained participants on a temporal discrimination task.  ...  Additionally, learning and auditory cortex plasticity partially generalized to interval discrimination but not to frequency discrimination.  ...  MEG source-space analysis of plasticity for the BASE stimulus The source reconstruction of the auditory evoked responses was processed in several steps.  ... 
doi:10.1523/jneurosci.4844-06.2007 pmid:17344404 pmcid:PMC4096344 fatcat:evqfzaakljhuhjgejfihyggu34

Decoding and Cortical Source Localization for Intended Movement Direction With MEG

Wei Wang, Gustavo P. Sudre, Yang Xu, Robert E. Kass, Jennifer L. Collinger, Alan D. Degenhart, Anto I. Bagic, Douglas J. Weber
2010 Journal of Neurophysiology  
Decoding and cortical source localization for intended movement direction with MEG. lography (MEG) enables a noninvasive interface with the brain that is potentially capable of providing movement-related  ...  The intended movement direction was decoded using linear discriminant analysis and a Bayesian classifier.  ...  MCE with bootstrapping for source-space statistical analysis Source localization algorithms, such as MCE, map whole head MEG recordings to cortical activity.  ... 
doi:10.1152/jn.00239.2010 pmid:20739599 pmcid:PMC2997025 fatcat:kdegfnrzbrd23gon5y3kxeym2u

Exploring the spatio-temporal neural basis of face learning

Ying Yang, Yang Xu, Carol A. Jew, John A. Pyles, Robert E. Kass, Michael J. Tarr
2017 Journal of Vision  
effects with learning were smaller, did exhibit some significant discriminability, but mainly after 300 ms.  ...  To define spatial face-sensitive regions (via source localization) for each subject, a separate functional localizer was run during the MEG session.  ...  localization analysis.  ... 
doi:10.1167/17.6.1 pmid:28570739 pmcid:PMC5461867 fatcat:honz3rljcrd4hix3v5otvyvlrm

Neural Correlates of Early Sound Encoding and their Relationship to Speech-in-Noise Perception

Emily B. J. Coffey, Alexander M. P. Chepesiuk, Sibylle C. Herholz, Sylvain Baillet, Robert J. Zatorre
2017 Frontiers in Neuroscience  
The amplitude of the slower cortical P2 wave was previously also shown to be related to SIN accuracy and FFR strength; we use MEG source localization to show that the P2 wave originates in a temporal region  ...  We also confirm that the observed enhancements were related to the extent and timing of musicianship.  ...  orientation), the primary measure of ERP amplitude is based on EEG rather than MEG; MEG sources were localized for the same time period.  ... 
doi:10.3389/fnins.2017.00479 pmid:28890684 pmcid:PMC5575455 fatcat:wmctjat5dbgaxmensixs2q2si4

Impaired secondary somatosensory gating in patients with schizophrenia

Robert J. Thoma, Faith M. Hanlon, Mingxiong Huang, Gregory A. Miller, Sandra N. Moses, Michael P. Weisend, Aaron Jones, Kim M. Paulson, Jessica Irwin, Jose M. Cañive
2007 Psychiatry Research  
In a paired-pulse paradigm, dipolar sources were assessed in SI and SII contralateral to unilateral median nerve stimulation.  ...  Because MEG generally has better near-source (but poorer distant-source) resolving capability than EEG, it is common in dense-array MEG source analysis to in effect "turn off" sensors over cortex that  ...  Figure 2 . 2 a) MEG M20 source dipole and localization in primary somatosensory cortex on the posterior bank of the central sulcus. b) MEG M80 source dipole and localization in secondary somatosensory  ... 
doi:10.1016/j.psychres.2006.10.011 pmid:17412427 pmcid:PMC2877382 fatcat:jwsu5rkcmnefrimelsodxvj26a

Mutual information spectrum for selection of event-related spatial components. Application to eloquent motor cortex mapping

Alexei Ossadtchi, Platon Pronko, Sylvain Baillet, Mark E. Pflieger, Tatiana Stroganova
2014 Frontiers in Neuroinformatics  
Citation: Ossadtchi A, Pronko P, Baillet S, Pflieger ME and Stroganova T (2014) Mutual information spectrum for selection of event-related spatial components.  ...  University Higher School of Economics, SPBU grant for priority research 0.37.522.2013 "Neuroeconomics and managerial decision making: interdisciplinary study," by the funds provided to Alexei Ossadtchi by Source  ...  Usually the goal of data analysis is to identify the task related signals and extract the task-related signal subspace to be used subsequently for neuronal source localization.  ... 
doi:10.3389/fninf.2013.00053 pmid:24478692 pmcid:PMC3895937 fatcat:sl6xj2oim5bv3byztxdgsrppse

Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances

Chieh Kao, Yang Zhang
2019 Brain Sciences  
Based on the literature review and the advancements of the infant MEG systems and source analysis software, typical practices of infant MEG data collection and analysis are summarized as the basis for  ...  The advantages of MEG source localization are discussed in comparison with functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS), two leading imaging tools for  ...  Topics of Infant Research Applying MEG Source Localization Analysis In order to discuss the progression of infant MEG source localization analysis, various related research topics are first presented and  ... 
doi:10.3390/brainsci9080181 pmid:31357668 pmcid:PMC6721320 fatcat:re24z2r7uff7bg4wordc3xexum

Evidence for a general performance-monitoring system in the human brain

Ivan Zubarev, Lauri Parkkonen
2018 Human Brain Mapping  
Here, we use concurrent EEG-MEG measurements and a probabilistic learning task to demonstrate that event-related responses measured by electroencephalography and magnetoencephalography display spatiotemporal  ...  We further show that these patterns originate from highly-overlapping neural sources in the medial frontal and the medial parietal cortices.  ...  AUTHOR CONTRIBUTIONS Both authors contributed to conceiving and designing the experiment, data analysis, and preparing the manuscript. I.Z. collected the data.  ... 
doi:10.1002/hbm.24273 pmid:29974560 fatcat:mj6om2wb5rbhdkv7i2rfqthqry

The left midfusiform gyrus interacts with early visual cortex and the anterior temporal lobe to support word individuation [article]

Matthew J. Boring, Elizabeth A. Hirshorn, Yuanning Li, Michael J. Ward, R. Mark Richardson, Julie A. Fiez, Avniel Singh Ghuman
2018 bioRxiv   pre-print
MEG functional connectivity analysis demonstrated significantly higher connectivity between the lmFG and both early visual cortex and the left anterior temporal lobe during the individuation of real word  ...  participants orthographically similar real words, pseudowords, consonant strings, and false fonts while monitoring lmFG activity with either intracranial electroencephalography or magnetoencephalography (MEG  ...  Figure S1 shows the mean event-related field of these word-selective sources to the different stimuli presented in the category localizer task.  ... 
doi:10.1101/411579 fatcat:r2xmz3rst5hhllffwerv2gaesm

Parallel processing streams for motor output and sensory prediction during action preparation

Max-Philipp Stenner, Markus Bauer, Hans-Jochen Heinze, Patrick Haggard, Raymond J. Dolan
2015 Journal of Neurophysiology  
Experimentally, prestimulus changes that occur in anticipation of self-generated sensations are difficult to disentangle from more general effects of stimulus expectation, attention and task load (performing  ...  ACKNOWLEDGMENTS We thank Elena Azañón and Tom Fitzgerald for valuable suggestions regarding data analysis and theoretical framing, as well as David Bradbury and Letty Manyande for excellent technical support  ...  Behavioral Data Analysis Data on loudness discrimination in the main task and on prime recognition in the control task 2 were analyzed using signal detection theory (Green and Swets 1966) .  ... 
doi:10.1152/jn.00616.2014 pmid:25540223 pmcid:PMC4359987 fatcat:upf3ojbjqvanjni7nzdvsngr6i

Proceedings: ISBET 200 – 14th World Congress of the International Society for Brain Electromagnetic Topography, November 19-23, 2003

Yoshio Okada
2003 Brain Topography  
The BESA (Brain Electrical Source Analysis) program provides a large variety of tools for the complete analysis of EEG and MEG recordings.  ...  Users can create event-related time-frequency displays of power, amplitude, event-related (de)synchronization, and coherence for scalp or source montages.  ...  sources found with the analysis of inter ictal MEG spikes.  ... 
doi:10.1023/b:brat.0000019284.29068.8d fatcat:tpvp3dcojrczjkuzcu3xefyizy

Temporal microstructure of cortical networks (TMCN) underlying task-related differences

Arpan Banerjee, Ajay S. Pillai, Justin R. Sperling, Jason F. Smith, Barry Horwitz
2012 NeuroImage  
At what times do networks segregate for task processing, and at what time scales does integration of information occur via changes in functional connectivity?  ...  Method validation is established on simulated MEG data from a delayed-match to-sample (DMS) task.  ...  The key events in task related information processing are computed by applying statistical discrimination techniques on Gof time series from VV and VA trials.  ... 
doi:10.1016/j.neuroimage.2012.06.014 pmid:22728151 pmcid:PMC3408836 fatcat:xjech2bymrax3agzsmwy6c546i

Characterizing hippocampal dynamics with MEG: A systematic review and evidence‐based guidelines

Emily Ruzich, Maité Crespo‐García, Sarang S. Dalal, Justin F. Schneiderman
2018 Human Brain Mapping  
However, the decrease in MEG signal-to-noise ratio as a function of source depth implies that the utility of MEG for investigations of deeper brain structures, including the hippocampus, is less clear.  ...  To determine whether MEG can be used to detect and localize activity from the hippocampus, we executed a systematic review of the existing literature and found successful detection of oscillatory neural  ...  fact that standard MEG analysis packages lack hippocampal sources).  ... 
doi:10.1002/hbm.24445 pmid:30378210 pmcid:PMC6456020 fatcat:7wtmrt7jqbedxkq4ln7uikful4

Cortical Temporal Dynamics of Visually Guided Behavior

Leighton B. N. Hinkley, Srikantan S. Nagarajan, Sarang S. Dalal, Adrian G. Guggisberg, Elizabeth A. Disbrow
2010 Cerebral Cortex  
We developed a data-driven approach based on MEG recordings for capturing ERD/ERS modulations in the source space. It was tested using MEG data collected from a blocked-design finger tapping task.  ...  The present MEG method, combining accurate spatial localizations and analysis in time/frequency domain, demonstrated to noninvasively capture the spatio-temporal dynamics of active brain areas during a  ...  We developed a data-driven approach based on MEG recordings for capturing ERD/ERS modulations in the source space. It was tested using MEG data collected from a blocked-design finger tapping task.  ... 
doi:10.1093/cercor/bhq102 pmid:20601397 pmcid:PMC3041007 fatcat:3hyxhazdaje63j6bela2fv4evq
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