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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 13726
School of Cognitive Sciences
  Title:   Quantification of the effects of volume conduction on the EEG/MEG connectivity estimates: an index of sensitivity to brain interactions
  Author(s): 
1.  A. Khadem
2.  G.A. Hossein-Zadeh
  Status:   Published
  Journal: Physiological Measurement
  Vol.:  35
  Year:  2014
  Pages:   2149-2164
  Supported by:  IPM
  Abstract:
In the context of EEG/MEG, the term 'volume conduction (VC) effects' refers to the recording of an instantaneous linear mixture of multiple brain source activities by each EEG/MEG channel. VC effects may lead to the detection of spurious functional/effective couplings among EEG/MEG channels that are not caused by brain interactions. It is of importance to determine which detected couplings are indicators of brain interactions and which originate from the VC artefacts. In this paper, a quantitative framework is proposed to explore the origin of detected channel couplings by using two types of surrogate datasets. Also, a sensitivity index (called SI) is proposed to compare the power of different connectivity measures to discriminate between the brain interactions and the instantaneous linear mixing effects. We use seven different functional connectivity estimators to evaluate our method on simulation models and resting state EEG data. The error rate of the proposed framework for simulation data by using each of the connectivity estimators is less than 5.2

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