MEG: An Introduction to MethodsPeter Hansen, Morten Kringelbach, Riitta Salmelin Magnetoencephalography (MEG) is an exciting brain imaging technology that allows real-time tracking of neural activity, making it an invaluable tool for advancing our understanding of brain function. In this comprehensive introduction to MEG, Peter Hansen, Morten Kringelbach, and Riitta Salmelin have brought together the leading researchers to provide the basic tools for planning and executing MEG experiments, as well as analyzing and interpreting the resulting data. Chapters on the basics describe the fundamentals of MEG and its instrumentation, and provide guidelines for designing experiments and performing successful measurements. Chapters on data analysis present it in detail, from general concepts and assumptions to analysis of evoked responses and oscillatory background activity. Chapters on solutions propose potential solutions to the inverse problem using techniques such as minimum norm estimates, spatial filters and beamformers. Chapters on combinations elucidate how MEG can be used to complement other neuroimaging techniques. Chapters on applications provide practical examples of how to use MEG to study sensory processing and cognitive tasks, and how MEG can be used in a clinical setting. These chapters form a complete basic reference source for those interested in exploring or already using MEG that will hopefully inspire them to try to develop new, exciting approaches to designing and analyzing their own studies. This book will be a valuable resource for researchers from diverse fields, including neuroimaging, cognitive neuroscience, medical imaging, computer modelling, as well as for clinical practitioners. |
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MEG: An Introduction to Methods Peter Hansen,Morten Kringelbach,Riitta Salmelin Limited preview - 2010 |
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amplitude approach artifacts averaged beamforming brain activity Brain Mapping central sulcus clinical coherence coils components computed correlated cortical surface covariance current dipole current estimates detected dipolar dipole dipole model distribution dynamic electric electrodes Electroencephalogr Clin Neurophysiol epilepsy event-related evoked fields evoked responses experimental field patterns Figure fMRI frequency Friston functional gradiometers Hämäläinen Hari Helenius hemisphere Hoshiyama human brain IEEE imaging interactions inverse problem Kakigi letter-string linear magnetic fields magnetic resonance imaging magnetoencephalography magnetometer matrix measured median nerve MEG/EEG methods motor cortex movement Neuroimage neuromagnetic neurons Neurosci noise nonwords onset oscillatory activity pain Pantazis parameters patients permutation posterior potentials processing recorded regions Salmelin scalp sensors signals solution somatosensory cortex somatosensory evoked source localization source model spatial filter SQUID statistical map statistical parametric mapping stimulation studies synchronization techniques threshold tion trials typically Uutela visual voxels waveforms words