MEG: An introduction to methods

MEG: An introduction to methods

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. This introduction to MEG brings together chapters which provide the basic tools for planning and exe...

Full description

Bibliographic Details
Main Authors:	Hansen, P, Kringelbach, M, Salmelin, R
Format:	Book
Published:	Oxford University Press 2010

Similar Items

A non-Gaussian LCMV beamformer for MEG source reconstruction
by: Mohseni, H, et al.
Published: (2013)

A Non-Gaussian LCMV beamformer for MEG Source Reconstruction
by: Mohseni, H, et al.
Published: (2013)

Activation of the left inferior frontal gyrus in the first 200 ms of reading: evidence from magnetoencephalography (MEG).
by: Cornelissen, P, et al.
Published: (2009)

Fusion of magnetometer and gradiometer sensors of MEG in the presence of multiplicative error.
by: Mohseni, H, et al.
Published: (2012)

MEG or No MEG, That is the Question
by: Chaturbhuj Rathore
Published: (2024-10-01)

A New Approach to the Fusion of EEG and MEG Signals Using the LCMV Beamformer
by: Mohseni, H, et al.
Published: (2013)

Non-gaussian probabilistic MEG source localisation based on kernel density estimation
by: Mohseni, H, et al.
Published: (2014)

Non-Gaussian probabilistic MEG source localisation based on kernel density estimation.
by: Mohseni, H, et al.
Published: (2014)

Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python
by: Marijn van Vliet, et al.
Published: (2018-09-01)

A Fast Solution to Robust Minimum Variance Beamformer and Application to Simultaneous MEG and Local Field Potential
by: Mohseni, H, et al.
Published: (2011)

A brief introduction to magnetoencephalography (MEG) and its clinical applications
by: Fred, Alfred Lenin, et al.
Published: (2023)

A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications
by: Alfred Lenin Fred, et al.
Published: (2022-06-01)

Activation of the left inferior frontal gyrus in the first 200 ms of reading: evidence from magnetoencephalography (MEG).
by: Piers L Cornelissen, et al.
Published: (2009-01-01)

MEG final results and progress towards MEG II
by: Toshiyuki Iwamoto on behalf of the MEG II collaboration
Published: (2019-02-01)

Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data
by: Prejaas K.B. Tewarie, et al.
Published: (2023-08-01)

Permodelan kabur magnetoencephalography (MEG) = Fuzzy modelling of magnetoencephalography (MEG) /
by: Tahir Ahmad, 1963-
Published: (2004)

Application of a Null-Beamformer to Source Localisation in MEG Data of Deep Brain Stimulation
by: Mohseni, H, et al.
Published: (2010)

Application of a null-beamformer to source localisation in MEG data of deep brain stimulation.
by: Mohseni, H, et al.
Published: (2010)

Application of a null-beamformer to source localisation in MEG data of deep brain stimulation.
by: Mohseni, H, et al.
Published: (2010)

The MEG experiment at PSI
by: De Gerone M.
Published: (2014-06-01)

Machine learning methods for the analysis of MEG data
by: Roberts, EJ
Published: (2024)

Classification methods for ongoing EEG and MEG signals
by: MICHEL BESSERVE, et al.
Published: (2007-01-01)

Search for charged lepton flavour violation with the MEG and MEG II experiments
by: Venturini Marco
Published: (2016-01-01)

Single or multi-frequency generators in on-going brain activity: a mechanistic whole-brain model of empirical MEG data
by: Deco, G, et al.
Published: (2017)

The design of the MEG II experiment
by: A. M. Baldini, et al.
Published: (2018-05-01)

Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study
by: Bruzzone, SEP, et al.
Published: (2022)

Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study
by: S. E. P. Bruzzone, et al.
Published: (2022-03-01)

How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest.
by: Nakagawa, T, et al.
Published: (2014)

Impact of different registration methods in MEG source analysis
by: Theiß Marie, et al.
Published: (2016-09-01)

Preliminary MEG decoding results
by: Isik, Leyla, et al.
Published: (2012)

Interpretable many-class decoding for MEG
by: Csaky, R, et al.
Published: (2023)

Még 50 év – avagy hogyan teremtsük meg a hatékony magyar urbanisztikát?
by: Ongjerth Richárd
Published: (2017-05-01)

MEG can map short and long-term changes in brain activity following deep brain stimulation for chronic pain.
by: Mohseni, H, et al.
Published: (2012)

Permodelan isyarat magnetoencephalography (MEG) /
by: 178025 Fauziah Zakaria, et al.

Egy még radikálisabb fordítás
by: Zsolt Kapelner
Published: (2014-04-01)

First person – Meg Watt
Published: (2024-12-01)

MEG Localization in Epilepsy Surgery
by: J Gordon Millichap
Published: (1999-10-01)

MEG STUART: DANÇANDO ESTADOS
by: Cláudio Marcelo Carneiro Leão Lacerda
Published: (2013-11-01)

Foucault, még Foucault után
by: András A. Gergely
Published: (2020-06-01)

The comparative performance of DBS artefact rejection methods for MEG recordings
by: Ahmet Levent Kandemir, et al.
Published: (2020-10-01)