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Frequency Domain Equivalence Between Potentials and Currents Using Loreta

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Check out this Knowledge Base article from StressTherapy Solutions: Frequency Domain Equivalence Between Potentials and Currents Using Loreta.

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Study at a glance

Area
QEEG, Methods & Mechanisms
Study type
Observational study
Authors
Gomez JF, Thatcher RW
Journal
International Journal of Neuroscience
Year
2001
Protocol
LORETA source localization in the frequency domain

Key findings

  • Frequency analysis of brain sources shows which regions favor particular oscillation frequencies
  • Inverse solutions may use 10,000 or more gray-matter current sources, making per-source Fourier transforms costly
  • Applying the Fourier transform at the sensor level with LORETA simplifies the computation
  • The source search space could be constrained using fMRI, PET or SPECT

DOI 10.3109/00207450109150683 → PubMed 11328689 →

A methods paper on estimating the brain sources of EEG or magnetoencephalography (MEG) activity at specific frequencies. Source models often use thousands of current sources in gray matter, and applying a Fourier transform to each one is computationally heavy. Using a simple example with low resolution electromagnetic tomography (LORETA), the authors show the work can be simplified by applying the Fourier transform to the sensor signals instead. They also suggest restricting the source search to regions identified by fMRI, positron emission tomography (PET) or single photon emission computed tomography (SPECT).