{"dataset":{"id":"424","dataset_id":"nm000256","name":"The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3","description":"The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000256","concept_doi":"10.82901/nemar.nm000256","latest_version_doi":"10.82901/nemar.nm000256.v1.0.0","created_at":"2026-04-13 18:23:22","updated_at":"2026-07-10 22:02:19","zenodo_concept_id":"20522844","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"authors\": {\n    \"Jens Madsen\": {},\n    \"Nikhil Kuppa\": {},\n    \"Lucas Parra\": {}\n  },\n  \"funding_references\": [\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"DRL-1660548\"\n    },\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"DRL-2201835\"\n    }\n  ],\n  \"title\": \"The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3\",\n  \"license\": \"CC BY 4.0\",\n  \"dataset_type\": \"derivative\",\n  \"resource_type_general\": \"Dataset\",\n  \"modalities\": [\n    \"beh\",\n    \"eeg\"\n  ],\n  \"resource_type_specific\": \"Neuroimaging Dataset\",\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000256\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=nm000256\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.82901/nemar.nm000256\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsVersionOf\"\n    }\n  ],\n  \"sizes\": [\n    \"8.0 GB (4241 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".gz\",\n    \".json\",\n    \".md\",\n    \".sh\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"description\": \"The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.\",\n  \"methods_description\": \"Data were collected across two sessions: Session 1 (attentive condition) involved subjects watching six educational videos in random order followed by 11-12 factual multiple-choice questions per video; Session 2 (distracted condition) involved the same videos presented in identical order while subjects silently counted backwards from a random prime number in steps of 7, with no post-video testing. Simultaneous recordings included EEG (BDF format), ECG, EOG, eye-tracking (gaze coordinates and pupil size), head position (X, Y, Z), and blink/saccade detection. Video stimuli represented three presentation styles: presenter with animation, presenter with glassboard, and animation with writing hand. Raw data were converted from MATLAB format (.mat files) to BIDS-compliant formats (.bdf for EEG, .tsv.gz for physiological and eye-tracking data).\",\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"eye tracking\"\n    },\n    {\n      \"term\": \"attention\"\n    },\n    {\n      \"term\": \"learning\"\n    },\n    {\n      \"term\": \"educational videos\"\n    },\n    {\n      \"term\": \"multimodal neuroimaging\"\n    },\n    {\n      \"term\": \"cognitive load\"\n    }\n  ],\n  \"source_hash\": \"3121b3b0e285013e1304ddd54678b4fac5919cebacc01026ada1c7264c601f1f\"\n}","last_activity_at":"2026-04-13 21:25:45","source":null,"source_id":null,"subject_count":29,"modalities":"beh,eeg","age_min":18,"age_max":57,"file_size":7992458563,"total_files":4241,"tasks":"stim01,stim02,stim03,stim04,stim05,stim06","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Jens Madsen, Nikhil Kuppa, Lucas Parra","license":"CC BY 4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000256-blue)](https://doi.org/10.82901/nemar.nm000256)\n\n# The Brain, Body, and Behaviour Dataset - Experiment 3\n## Summary:\n\n**Description:**  Subjects watched six videos, knowing they'd be tested afterward. After each video, they answered 11 to 12 factual multiple-choice questions. Videos and questions were presented in random order.\n\n**Subjects:**  29, **Sessions:**  2 \n1. *Attentive* - Watch videos with focus and answer questions after\n2. *Distracted* - Watch videos while counting backwards in your head, no test after watching\n\n# Tasks (Stimuli)\n\n## Experiment 3\n\n-------------------------------------------------------------------------------------------------------------------------------------------\n| **Stimulus ID** | **Name**                                                    | **URL**                                                 |\n|-----------------|-------------------------------------------------------------|---------------------------------------------------------|\n| Stim-01         | What If We Killed All the Mosquitoes                        | [Watch Here](https://www.youtube.com/embed/9w-5wJYVmcw) |\n| Stim-02         | Are We All Related                                          | [Watch Here](https://www.youtube.com/embed/mnYSMhR3jCI) |\n| Stim-03         | Work and the Work-Energy Principle                          | [Watch Here](https://www.youtube.com/embed/30o4omX5qfo) |\n| Stim-04         | Dielectrics in Capacitors Circuits                          | [Watch Here](https://www.youtube.com/embed/rkntp3_cZl4) |\n| Stim-05         | How Do People Measure Planets & Suns                        | [Watch Here](https://www.youtube.com/embed/bYgV9nvgJ3E) |\n| Stim-06         | Three Factors That May Alter the Action of an Enzyme        | [Watch Here](https://www.youtube.com/embed/lkRZKqDdwzU) |\n-------------------------------------------------------------------------------------------------------------------------------------------\n\n**Modalities Recorded:**\n-   Gaze (X, Y)\n-   Pupil Size\n-   Blinks\n-   Saccades\n-   Head Position (X, Y, Z)\n-   EOG\n-   EEG\n-   ECG\n\n# Experiment Setup:\nIn experiment 3, subjects were aware they would be tested on the video material each video was presented - **Intentional Learning**. \n\nWe tested 6 informational video stimuli, 2 each from 3 different styles of presentation for this experiment to understand if the video design would have an impact on the attention retention of students. \n\nThe video styles tested were\n\n1. Presenter and animation\n2. Presenter and glassboard\n3. Animation and writing hand\n\nWe collected ECG, EEG, EOG, Head Motion, Gaze Coordinates, and Pupil Size.\n\nSessions:\n\n-   Ses-01 contains these signals recorded on subjects watching these videos in an attentive condition. They answered questions pertaining to each video after watching the videos one at a time.\n-   Ses-02 contains the data recorded on subjects watching all of the videos again in a distracted condition in the same order as Ses-01 described above. The distraction from the stimuli was to silently count backwards from a random prime number in steps of 7. No questions were asked after this session.\n\n# Questionnaires:  \nQuestionnaires and answers to them can be found in the phenotype/ directory.\n\n1.  **stimuli_questionnaire:**\n\nThe stimuli_questionnaire tsv and json files have the questions, answers and correct answers.\n\n- “Domain” question type is a general domain knowledge question that was asked before the subject watched a video.\n- “Memory” question type is a memory testing question that is asked after the subject finishes watching the video, and has questions that are directly pertaining to the video content.\n\n2.  **asrs_questionnaire:**\n\nThese tsv and json files have questions and answers to the ASRS questionnaire that is an adult ADHD symptom checklist test. The answers are options from 0 (never) to 4 (very often).\n\n- There are two different scales used to score this test, and there are 2 different parts (Part A, Part B) to this test. Screen test involves just the first 6 questions (Part A), and the full-test involves the entire 18 question test (Part A + Part B). Despite lesser questions, the screen test (first 6 ques) gives one a higher indication of ADHD prevalence than the full-test.\n\n- This is the reason why the 2 different scoring scales are based on the Screen test. Scale one is out of 6, where each question counts for just 1 point depending on the frequency of the symptom occurrence, and if one scores over 4, there is a high chance of ADHD prevalence. The next scale is out of 24 where the 5 frequencies of symptom occurrence (never, rarely, sometimes, often, very often) are assigned scores in an increasing order of 0-4, and for each question, the respective scores of the frequency is the score for that question. Out of 24, the threshold for high prevalence of ADHD is 18 for this scale.\n\nThe following are the question numbers for inattentive ADHD and Hyperactive ADHD\n\ninattentive_questions = [1,2,3,4,7,8,9,10,11,12]\nhyperactive_questions = [5,6,13,14,15,16,17,18]\n\n# General BIDS dataset structure overview for all MEVD experiments\n\nEach BIDS dataset (one per experiment) has files that describe the dataset, its participants, and related metadata at the root directory - dataset_description.json, participants.tsv and participants.json, providing essential information about the study and participants to anyone working with the dataset.\n\nIn the root directory, the raw data of each participant is organized by subject (sub-XX) and then further divided into sessions (ses-XX) to accommodate multi-session data collection (some experiments have 2 sessions: attentive and distracted). Inside each session folder, you'll find modality-specific subfolders, such as:\n\n-   **eeg**: Contains electroencephalogram data files (.bdf), event logs (events.tsv), and additional metadata (.json) that describe the experiment and recording conditions.  \n    \n-   **beh**: Contains physiological recordings like ECG (electrocardiogram) and EOG (electrooculogram) stored in compressed .tsv.gz files, with accompanying metadata in .json files.  \n    \n-   **eyetrack**: Contains physiological recordings like eye-tracking (gaze coordinates and pupil size), and head movement data, stored in compressed .tsv.gz files, with accompanying metadata in .json files.\n-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n| Modality  | Filename Format                                                     | Data File Extension | Metadata                                     | Notes                                                                                      |\n|-----------|---------------------------------------------------------------------|---------------------|----------------------------------------------|--------------------------------------------------------------------------------------------|\n| EEG       | `sub_xx-ses_xx-task-stimxx_{file_of_interest.extension}`            | `.bdf`              | Exists for each file as a `.json` file       |  There are event files with a `.tsv` extension that include start and end times in seconds.|\n| Beh       | `sub_xx-ses_xx-task-stimxx_recording-{modality}_physio.{extension}` | `.tsv.gz`           | Exists for each file as a `.json` file       |                                                                                            |\n| EyeTrack  | `sub_xx-ses_xx-task-stimxx_{modality}_eyetrack.{extension}`         | `.tsv.gz`           | Exists for each file as a `.json` file       |                                                                                            |\n-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n\nThere is also a **derivatives** directory which ","bids_version":"1.10.0","sessions_count":2,"publish_date":"2026-04-13 18:23:22","embedding_dirty":0,"license_tier":"attribution","zarr_status":"ready","zarr_converted_at":"2026-09-03 12:48:53","zarr_store_count":332,"zarr_index_etag":"d899e15da787eb8cb60eddea7815a17e","zarr_source_commit":"0283c6712c10644f0c2d2fdc432632c8f957580f","archive_status":"ready","archive_size":6379378935,"archive_retry_count":0,"records_status":null,"archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":0,"n_channels":64,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":null,"data_complete":null,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":104166,"recording_duration_min":262,"recording_duration_max":386,"recording_count":332,"recordings_unavailable":0,"recordings_measured":332,"channel_count_min":64,"channel_count_max":64,"sampling_frequency":128,"power_line_frequency":60,"eeg_reference":"none","placement_scheme":"10-20","sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-03 07:45:53\",\"metadata_updated_at\":\"2026-06-03 07:47:50\",\"archive_checked_at\":\"2026-07-31 03:55:56\",\"zarr_checked_at\":\"2026-06-07 17:58:36\",\"records_checked_at\":null,\"citations_updated_at\":null,\"channel_montage_checked_at\":\"2026-06-28 23:01:10\",\"hed_checked_at\":\"2026-06-30 04:31:18\",\"data_checked_at\":null,\"availability_report_at\":\"2026-07-23 01:09:46\",\"signal_defaults_at\":\"2026-09-02 11:49:23\",\"recording_stats_at\":\"2026-09-04 03:00:24\"}","participants":29,"num_citations":0,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"7.44 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000256/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}