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Do Scalp EEG Measurements Allow Causal Inference?

Authors:
Anna Krakovská at Slovak Academy of Sciences
Anna Krakovská
Zuzana Rošt’áková
Zuzana Rošt’áková
Zuzana Rošt’áková
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Martina Chvosteková at Slovak Academy of Sciences
Martina Chvosteková
Jana Maslíková
Jana Maslíková
Jana Maslíková
  • This person is not on ResearchGate, or hasn't claimed this research yet.
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Abstract

Abstract: Rapidly developing methods of causal inference are being extensively applied to analyze electroencephalographic (EEG) measurements. However, there is considerable uncertainty surrounding the interpretation of the results. Is what the methods reflect from brain activity truly causality? In this study, we first simulate a ground-truth causal process in the cortex. Next, we project the cortex activity onto the surface of the head with a forward model, thereby obtaining data closely mimicking real noninvasive EEG signals. We argue and demonstrate that if the correct interpretation of the EEG measurement from any single electrode is a linear combination of all source cortical signals, a standard causal inference may fail on fundamental levels.
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MEASUREMENT
2023,
Proceedings
of
the
14th
International
Conference,
Slovakia
ISBN
978-80-972629-6-9
92
MEASUREMENT
2023,
Proceedings
of
the
14th
International
Conference,
Slovakia
ISBN
978-80-972629-6-9
93
MEASUREMENT
2023,
Proceedings
of
the
14th
International
Conference,
Slovakia
ISBN
978-80-972629-6-9
94
MEASUREMENT
2023,
Proceedings
of
the
14th
International
Conference,
Slovakia
ISBN
978-80-972629-6-9
95
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