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...

Bibliografski detalji
Glavni autori:	Hansen, P, Kringelbach, M, Salmelin, R
Format:	Knjiga
Izdano:	Oxford University Press 2010

Slični predmeti

A non-Gaussian LCMV beamformer for MEG source reconstruction
od: Mohseni, H, i dr.
Izdano: (2013)

A Non-Gaussian LCMV beamformer for MEG Source Reconstruction
od: Mohseni, H, i dr.
Izdano: (2013)

Activation of the left inferior frontal gyrus in the first 200 ms of reading: evidence from magnetoencephalography (MEG).
od: Cornelissen, P, i dr.
Izdano: (2009)

Fusion of magnetometer and gradiometer sensors of MEG in the presence of multiplicative error.
od: Mohseni, H, i dr.
Izdano: (2012)

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

A New Approach to the Fusion of EEG and MEG Signals Using the LCMV Beamformer
od: Mohseni, H, i dr.
Izdano: (2013)

Non-gaussian probabilistic MEG source localisation based on kernel density estimation
od: Mohseni, H, i dr.
Izdano: (2014)

Non-Gaussian probabilistic MEG source localisation based on kernel density estimation.
od: Mohseni, H, i dr.
Izdano: (2014)

Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python
od: Marijn van Vliet, i dr.
Izdano: (2018-09-01)

A Fast Solution to Robust Minimum Variance Beamformer and Application to Simultaneous MEG and Local Field Potential
od: Mohseni, H, i dr.
Izdano: (2011)

A brief introduction to magnetoencephalography (MEG) and its clinical applications
od: Fred, Alfred Lenin, i dr.
Izdano: (2023)

A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications
od: Alfred Lenin Fred, i dr.
Izdano: (2022-06-01)

Activation of the left inferior frontal gyrus in the first 200 ms of reading: evidence from magnetoencephalography (MEG).
od: Piers L Cornelissen, i dr.
Izdano: (2009-01-01)

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

Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data
od: Prejaas K.B. Tewarie, i dr.
Izdano: (2023-08-01)

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

Application of a Null-Beamformer to Source Localisation in MEG Data of Deep Brain Stimulation
od: Mohseni, H, i dr.
Izdano: (2010)

Application of a null-beamformer to source localisation in MEG data of deep brain stimulation.
od: Mohseni, H, i dr.
Izdano: (2010)

Application of a null-beamformer to source localisation in MEG data of deep brain stimulation.
od: Mohseni, H, i dr.
Izdano: (2010)

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

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

Classification methods for ongoing EEG and MEG signals
od: MICHEL BESSERVE, i dr.
Izdano: (2007-01-01)

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

Single or multi-frequency generators in on-going brain activity: a mechanistic whole-brain model of empirical MEG data
od: Deco, G, i dr.
Izdano: (2017)

The design of the MEG II experiment
od: A. M. Baldini, i dr.
Izdano: (2018-05-01)

Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study
od: Bruzzone, SEP, i dr.
Izdano: (2022)

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

How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest.
od: Nakagawa, T, i dr.
Izdano: (2014)

Impact of different registration methods in MEG source analysis
od: Theiß Marie, i dr.
Izdano: (2016-09-01)

Preliminary MEG decoding results
od: Isik, Leyla, i dr.
Izdano: (2012)

Interpretable many-class decoding for MEG
od: Csaky, R, i dr.
Izdano: (2023)

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

MEG can map short and long-term changes in brain activity following deep brain stimulation for chronic pain.
od: Mohseni, H, i dr.
Izdano: (2012)

Permodelan isyarat magnetoencephalography (MEG) /
od: 178025 Fauziah Zakaria, i dr.

Egy még radikálisabb fordítás
od: Zsolt Kapelner
Izdano: (2014-04-01)

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

MEG Localization in Epilepsy Surgery
od: J Gordon Millichap
Izdano: (1999-10-01)

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

Foucault, még Foucault után
od: András A. Gergely
Izdano: (2020-06-01)

The comparative performance of DBS artefact rejection methods for MEG recordings
od: Ahmet Levent Kandemir, i dr.
Izdano: (2020-10-01)