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Chunk #25 — PRACTICAL ISSUES IN HARMONIZING EEG ANALYSES FOR GENETIC ANALYSES

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Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity.
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other hand, may greatly affect the rank ordering of individual data. For example, if a subset of participants were to fall asleep during the resting recordings, this would greatly affect their average power of oscillatory activity (Niedermeyer, 1999b). To avoid such problems, strict protocols are needed to prevent participants from falling asleep. Experience teaches us that—for younger participants—it is wise to record shorter intervals in the eyes‐closed resting state, as they tend to fall asleep faster than adults. Many more challenges exist in the creation of repeatable recordings within individuals and consistent recordings across individuals. This has led to the creation of guidelines for the application, recording, and analysis of EEG data, often with a special focus on clinical recordings (Babiloni et al., 2020; Flink et al., 2002); see https://www.acns.org/practice/guidelines.