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Magnetometers and planar gradiometers
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MEG-EEG Source Estimation Approaches: A Spectrum of Purpose-Built Optimal Tools
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- 1 Intro
- 2 Source (brain) space instead of sensor space
- 3 Contents
- 4 Cortical Beta and Gamma Rhythm Resting-State Networks Follow Distinct Maturation Trajectories
- 5 Neural sources of MEG and EEG
- 6 Forward models for MEG and EEG
- 7 Primary currents in the cortex
- 8 Cortical Source Location Constraints
- 9 Inflated Cortex
- 10 Tangential, radial, and tilted sources
- 11 MEG and EEG sensitivity to cortical sources
- 12 Orthogonal patterns: MEG (or EEG) may benefit
- 13 An MEG System
- 14 Magnetometers and planar gradiometers
- 15 Modulation of the Alpha and Mu Rhythms
- 16 Silent sources
- 17 Many Ways to Make the Problem Unique
- 18 Terminology
- 19 Example: The time-varying current-dipole model
- 20 Dipolar field pattern: Focal sources
- 21 Are dipoles good for extended sources?
- 22 Filling
- 23 Partly Heuristic strategies
- 24 Multidipole Model for SEF
- 25 The Source Locations are consistent
- 26 Dynamics of Cortical Activity in a Picture Naming Task
- 27 Visual Stability During Eye Blinks
- 28 Viable Explanation
- 29 Cerebellar activity associated with saccades
- 30 Source locations and time courses
- 31 Imitation of orofacial gestures
- 32 Spaliolemporal analysis of the somalomotor
- 33 Dipole models: Summary
- 34 Source modeling priors
- 35 Spatio-Temporal Structure of Source Estimates
- 36 Early retinotopic mapping with MNE
- 37 Effect of the orientation constraint
- 38 Spatial dispersion of cortically-constrained MNE
- 39 Visual percepts of an ambiguous scene
- 40 Group analysis
- 41 Long-Range Connectivity Differences Between ASD and TD Subjects (MEG)
- 42 Functional definition of FFA
- 43 Local Connectivity Different in FFA only
- 44 MNE and friends: Summary
- 45 Inverse problem ambiguity
