Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data.
about
Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metricsElectroMagnetoEncephalography software: overview and integration with other EEG/MEG toolboxesCommonalities and differences in the neural substrates of threat predictability in panic disorder and specific phobia.When Hearing Is Tricky: Speech Processing Strategies in Prelingually Deafened Children and Adolescents with Cochlear Implants Having Good and Poor Speech Performance.The role of the COMT val158met polymorphism in mediating aversive learning in visual cortex.Escape from harm: linking affective vision and motor responses during active avoidance.Rapid prefrontal cortex activation towards aversively paired faces and enhanced contingency detection are observed in highly trait-anxious women under challenging conditions.Neural correlates of speech processing in prelingually deafened children and adolescents with cochlear implants.Masked priming of conceptual features reveals differential brain activation during unconscious access to conceptual action and sound information.Triggering sleep slow waves by transcranial magnetic stimulation.Imaging cortical activity following affective stimulation with a high temporal and spatial resolution.Spatiotemporal signatures of large-scale synfire chains for speech processing as revealed by MEG.The time course of action and action-word comprehension in the human brain as revealed by neurophysiologyAdaptation in human visual cortex as a mechanism for rapid discrimination of aversive stimuli.A framework for the design of flexible cross-talk functions for spatial filtering of EEG/MEG data: DeFleCT.MEG and EEG data fusion: simultaneous localisation of face-evoked responses.An evil face? Verbal evaluative multi-CS conditioning enhances face-evoked mid-latency magnetoencephalographic responses.Cortical sources of the respiratory-related evoked potential.Localization of MEG human brain responses to retinotopic visual stimuli with contrasting source reconstruction approachesA Parametric Empirical Bayesian Framework for the EEG/MEG Inverse Problem: Generative Models for Multi-Subject and Multi-Modal Integration.Selecting forward models for MEG source-reconstruction using model-evidenceNarrative exposure therapy for PTSD increases top-down processing of aversive stimuli--evidence from a randomized controlled treatment trial.The impact of acute psychosocial stress on magnetoencephalographic correlates of emotional attention and exogenous visual attention.Voxel-based dipole orientation constraints for distributed current estimation.Rapid plasticity in the prefrontal cortex during affective associative learning.Social vision: sustained perceptual enhancement of affective facial cues in social anxiety.Subliminal enhancement of predictive effects during syntactic processing in the left inferior frontal gyrus: an MEG study.Emotion and the processing of symbolic gestures: an event-related brain potential study.EEG/MEG source imaging: methods, challenges, and open issuesGrammar or serial order?: discrete combinatorial brain mechanisms reflected by the syntactic mismatch negativity.Early affective processing in patients with acute posttraumatic stress disorder: magnetoencephalographic correlatesA large N400 but no BOLD effect--comparing source activations of semantic priming in simultaneous EEG-fMRI.Explicit attention interferes with selective emotion processing in human extrastriate cortexRecovery of cortical effective connectivity and recovery of consciousness in vegetative patientsMovement priming of EEG/MEG brain responses for action-words characterizes the link between language and actionMultimodal imaging reveals the spatiotemporal dynamics of recollection.MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters.The reign of typicality in semantic memoryIncreasing the accuracy of electromagnetic inverses using functional area source correlation constraints.Magnetoencephalography in presurgical epilepsy diagnosis.
P2860
Q24602333-BC097544-4C4D-4463-8CBE-1CEDE8B15319Q28740381-0A1BB03C-0FD8-4088-8258-8B8C1FA7B06DQ30360562-69B19E96-D19D-48DF-B832-E7147A45B55AQ30365412-2C60AB12-0F7E-4415-BDAD-7939DC2E5B6FQ30365715-DC77FE7C-788F-4330-8668-12A21974BEECQ30397619-F69061A8-089B-4D9A-9FD2-C6AA484BE85BQ30408521-C499BD2A-C85E-472C-AF7A-08733119629EQ30452215-3AA69A16-8391-446E-AB86-73AA65D26640Q30453825-9FBCAB84-3009-4E7A-B099-9F113731D1D7Q30479664-350B85CB-8DC5-496C-8EDE-E9FEF21DC02DQ30489121-DCBACA7A-C179-4677-8C99-D730AD9BB2B4Q30491085-EED40B43-FB3A-407C-A7DB-5C7D240D506AQ30494018-3AAC728B-F140-43C7-BEA7-4D1857989040Q30500330-B775F1AF-8785-4A65-A31A-B51428336FB8Q30619817-C9FE4677-3797-4132-A8CA-D64951EB222EQ33435720-A4A033BB-68EE-4260-8B51-FC317AFF198DQ33561922-7DA73A92-EB3A-4A8A-8919-A8291CDBBFDBQ33643491-020B0B5B-16D4-470E-AEE9-3CE4A3CD9C42Q33666741-F69CDEDA-AF6C-4812-B094-F5D177341C61Q34014442-379B9F13-61AE-446A-93A2-3B40F359603DQ34030021-69F9EE3A-D136-4031-ABF3-A78BD8EAC117Q34105713-D6CA842E-85D1-4DC3-97A5-4F7F55097BDDQ34305092-B4455F39-414F-452C-B654-41802BB823FBQ34372369-1852BC82-1926-4257-A6E4-8CBCC1FF8B3DQ34379995-97E82080-DE49-4A6C-B9BF-58959A2032CCQ34418831-2B1B15F8-3920-492F-820F-12A1666A83BEQ34441789-6CA8E166-F1A7-4DDB-BBC1-C650B8181DA4Q34501269-61DED5FA-4305-40FF-BFB3-4875DE5DDB36Q34610316-B9412334-F537-43B4-A236-CF85537A44B2Q34632747-6808CCA2-FB22-4A87-BCD2-21D3185F4EE1Q34970835-E24EC7FB-2ACF-4D8D-8610-4CE2A1CA4F6DQ35082732-558FD663-1504-4504-92F7-50FFA0EAF3E3Q35659584-53C58FED-7462-4DB5-982B-AFD6913DA921Q35888622-B3272413-FC81-4861-BB96-79BCA0846B78Q36509381-56EF9038-7198-4C7E-B5CC-BE84822567A4Q36662948-E4FA8155-0496-4A4D-B51F-429591B00D6CQ36764614-C48D69C6-F480-41FB-BC69-0460C00B84A9Q36776919-A969E9C8-DAF9-4256-8227-C35F356CF82AQ36799874-630A6B2C-4BC4-467C-BD6F-1C2B0023643BQ36815170-5C23ED78-C0E4-4E53-9E53-F0B0FDB65FD2
P2860
Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data.
description
2004 nî lūn-bûn
@nan
2004 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Keep it simple: a case for usi ...... analysis of EEG and MEG data.
@ast
Keep it simple: a case for usi ...... analysis of EEG and MEG data.
@en
type
label
Keep it simple: a case for usi ...... analysis of EEG and MEG data.
@ast
Keep it simple: a case for usi ...... analysis of EEG and MEG data.
@en
prefLabel
Keep it simple: a case for usi ...... analysis of EEG and MEG data.
@ast
Keep it simple: a case for usi ...... analysis of EEG and MEG data.
@en
P1433
P1476
Keep it simple: a case for usi ...... analysis of EEG and MEG data.
@en
P2093
P304
P356
10.1016/J.NEUROIMAGE.2003.12.018
P407
P577
2004-04-01T00:00:00Z