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Chunk #10 — MATERIALS AND METHODS — EEG data preprocessing

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Increased EEG coherence in long-distance and short-distance connectivity in children with autism spectrum disorders.
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Because the children in the study were young, although we adopted a series of methods to ensure the data acquisition process proceeded smoothly, some children still had poor coordination, such as limb movement during the experiment, which caused large artifacts in the EEG signals. In order to ensure the reliability of the results of the study, these subjects were excluded from this study. Finally, this study included 13 autistic children and 15 sex‐, age‐, handedness‐matched healthy children (Table 1). Data preprocessing was conducted by the Brain Vision Analyzer software (Brain Products, GmbH). The steps included the following: (a) data filtering: Band‐pass filters were set at 0.01–30 Hz, (b) artifact rejection: Independent component analysis (ICA) was applied to the EEG signals, and the components responsible for the eye movements, blinks, and muscle activity were rejected, (c) data were then separated into one‐second epochs, and (d) the baseline was defined as the mean amplitude in the presegment data of 200 ms.