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<p>The brain, body, and behavior dataset (BBBD) provides multimodal recordings from 178 participants across five experiments in which short educational videos were viewed. The dataset contains about 110 hours of electroencephalogram (EEG), electrooculogram (EOG), electrocardiogram (ECG), respiration, pupil size, gaze position, saccades, blinks, fixations, and head-motion signals, all time-aligned to the video and standardized in the Brain Imaging Data Structure (BIDS) format. Participants watched three to six videos (mean = 28 ± 5 min) under conditions that manipulated attention (attentive versus distracted), learning goals (incidental versus intentional), and motivation (monetary incentive). Demographic data, Adult ADHD Self-Report Scale (ASRS) scores, and digit-span working-memory assessments are included. Technical validation shows expected effects: higher alpha-band power during distraction, a posterior-to-anterior gradient in EEG power, increased blink rate, and reduced saccade rate when attention was diverted. Approximately 97 percent of the continuous signal data are newly released. BBBD enables investigation of how neural, ocular, and physiological dynamics relate to attention and learning during naturalistic video viewing.</p>

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The Brain, Body, and Behavior Dataset (BBBD): Multimodal Recordings during Educational Videos

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月21日

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  • Jens Madsen,
  • Nikhil Kuppa,
  • Lucas C. Parra

摘要

The brain, body, and behavior dataset (BBBD) provides multimodal recordings from 178 participants across five experiments in which short educational videos were viewed. The dataset contains about 110 hours of electroencephalogram (EEG), electrooculogram (EOG), electrocardiogram (ECG), respiration, pupil size, gaze position, saccades, blinks, fixations, and head-motion signals, all time-aligned to the video and standardized in the Brain Imaging Data Structure (BIDS) format. Participants watched three to six videos (mean = 28 ± 5 min) under conditions that manipulated attention (attentive versus distracted), learning goals (incidental versus intentional), and motivation (monetary incentive). Demographic data, Adult ADHD Self-Report Scale (ASRS) scores, and digit-span working-memory assessments are included. Technical validation shows expected effects: higher alpha-band power during distraction, a posterior-to-anterior gradient in EEG power, increased blink rate, and reduced saccade rate when attention was diverted. Approximately 97 percent of the continuous signal data are newly released. BBBD enables investigation of how neural, ocular, and physiological dynamics relate to attention and learning during naturalistic video viewing.