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A new approach to neuroimaging with magnetoencephalography

Human Brain Mapping · 2005 · Vol. 25(2) · pp. 199–211
Arjan HillebrandKrish D. SinghIan E. HollidayPaul L. FurlongGareth R. Barnes

Abstract

We discuss the application of beamforming techniques to the field of magnetoencephalography (MEG). We argue that beamformers have given us an insight into the dynamics of oscillatory changes across the cortex not explored previously with traditional analysis techniques that rely on averaged evoked responses. We review several experiments that have used beamformers, with special emphasis on those in which the results have been compared to those observed in functional magnetic resonance imaging (fMRI) and on those studying induced phenomena. We suggest that the success of the beamformer technique, despite the assumption that there are no linear interactions between the mesoscopic local field potentials across distinct cortical areas, may tell us something of the balance between functional integration and segregation in the human brain. What is more, MEG beamformer analysis facilitates the study of these complex interactions within cortical networks that are involved in both sensory-motor and cognitive processes.

Neural dynamics and brain functionFunctional Brain Connectivity StudiesEEG and Brain-Computer InterfacesMagnetoencephalographyNeuroimagingNeurosciencePsychologyFunctional magnetic resonance imagingComputer scienceCognitive scienceCognitive psychologyElectroencephalography

MeSH terms

AlgorithmsBrain MappingCerebral CortexCognitionCortical SynchronizationEvoked PotentialsHumansMagnetic Resonance ImagingNerve NetSignal Processing, Computer-AssistedMagnetoencephalography

Funding

  • Wellcome Trust
  • Government of the United Kingdom
Citations
548
FWCI
7.85
field-weighted impact
References
107
Percentile
98%
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Citations per year
References
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A new approach to neuroimaging with magnetoencephalography · Scinovex