{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3478","dataset_id":"ds006945","associated_paper_doi":null,"authors":["Shantanu Sarkar","Kevin Nathan","Jose L. Contreras-Vidal"],"bids_version":"1.8.0","contact_info":["Shantanu Sarkar"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds006945.v1.2.1","datatypes":["eeg"],"demographics":{"subjects_count":5,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds006945","osf_url":null,"github_url":null,"paper_url":null},"funding":["UH–Methodist Graduate Fellowship for Translational Research","NSF IUCRC BRAIN Center Award #2137255"],"ingestion_fingerprint":"349fec5a1c8a5b8982e76a492359d1d7ea4dd78648e229b46cb659a02b3f4333","license":"CC0","n_contributing_labs":null,"name":"Dataset: T1-Weighted Structural MRI and fMRI of Participants Viewing Self-Avatar Exoskeleton Walking (11 SWS Cycles)","readme":"Neuroimaging Data Collected During Kinesthetic Motor Imagery of Walking vs. Rest\n-------------------------------------------------------------------------------\nThis dataset includes multimodal neuroimaging recordings from five participants performing kinesthetic motor imagery (KI) while viewing themselves walking in an exoskeleton. The dataset includes synchronized MRI (structural and functional) and EEG recordings organized according to the BIDS specification. Functional MRI data were acquired in two runs while participants viewed a 10-minute video, along with a separate baseline scan during which participants simulated a resting state for approximately 5 minutes.\nMRI sessions were conducted after participants completed nine sessions of EEG‑controlled exoskeleton walking and standing experiments.\nDataset link: <a href=\"https://openneuro.org/datasets/ds006940\" target=\"_blank\"> https://openneuro.org/datasets/ds006940 </a>\nMRI Acquisition:\n- Scanner: Philips Ingenia 3.0T (Koninklijke Philips N.V., The Netherlands)\n- Structural scans: T1‑weighted anatomical images\n- Functional scans (fMRI): Participants viewed a 10‑minute video of themselves walking in the exoskeleton, filmed from a first‑person perspective. The video contained 11 Stop‑Walk‑Stop (SWS) cycles. During viewing, participants were instructed to evoke KI in synchrony with the exoskeleton movements.\n- Baseline condition: Participants mentally simulated resting state for approximately 5 minutes while fMRI data was recorded.\nEEG Acquisition:\n- MR‑compatible EEG cap (Brain Products GmbH, Gilching, Germany)\n- Electrode locations are provided in EEGLAB format.\n- 59 scalp channels + 4 EOG channels + 1 ECG channel\nStimuli:\n- A video stimulus (`stimuli/walking_exoskeleton_S1.mp4`) was presented during walking tasks.\nParticipants:\nFive healthy adults out of seven participated in the EEG‑controlled exoskeleton experiments.\nParticipants S6 and S7 did not undergo MRI scanning due to a pause in data collection during the COVID‑19 pandemic.\n<h3>Folder Structure (Example: Participant S1)</h3>\n<hr>\n<pre>\n├── dataset_description.json\n├── README\n├── derivatives\n│   └── sub-01\n│       └── ses-01\n│           ├── anat\n│           │   └── sub-01_ses-01_T1w.nii\n│           ├── dwi\n│           │   ├── sub-01_ses-01_run-001_dwi.json\n│           │   ├── sub-01_ses-01_run-001_dwi.bval\n│           │   ├── sub-01_ses-01_run-001_dwi.bvec\n│           │   └── sub-01_ses-01_run-001_dwi.nii.gz\n│           │\n│           └── spm\n│               ├── sub-01_ses-01_beta_0001.nii\n│               ├── ...\n│               ├── sub-01_ses-01_beta_0008.nii\n│               ├── sub-01_ses-01_con_0001.nii\n│               ├── ...\n│               ├── sub-01_ses-01_con_0004.nii\n│               ├── sub-01_ses-01_smpt_0001.nii\n│               ├── ...\n│               ├── sub-01_ses-01_smpt_0004.nii\n│               ├── sub-01_ses-01_mask.mat\n│               ├── sub-01_ses-01_resms.mat\n│               ├── sub-01_ses-01_rpv.mat\n│               └── sub-01_ses-01_spm.mat\n│\n├── stimuli\n│   └── walking_exoskeleton_S1.mp4\n│\n├── sub-01\n│   └── ses-01\n│       ├── anat\n│       │   ├── sub-01_ses-01_T1w.json\n│       │   └── sub-01_ses-01_T1w.nii\n│       ├── eeg\n│       │   ├── sub-01_ses-01_coordsystem.json\n│       │   ├── sub-01_ses-01_electrodes.json\n│       │   ├── sub-01_ses-01_electrodes.tsv\n│       │   ├── sub-01_ses-01_task-baseline_eeg.eeg\n│       │   ├── sub-01_ses-01_task-baseline_eeg.json\n│       │   ├── sub-01_ses-01_task-baseline_eeg.vhdr\n│       │   ├── sub-01_ses-01_task-baseline_eeg.vmrk\n│       │   ├── sub-01_ses-01_task-walking1_eeg.eeg\n│       │   ├── ...\n│       │   └── sub-01_ses-01_task-walking2_eeg.vmrk\n│       │\n│       └── func\n│           ├── sub-01_ses-01_task-baseline_run-001_bold.json\n│           ├── sub-01_ses-01_task-baseline_run-001_bold.nii.gz\n│           ├── sub-01_ses-01_task-walking1_run-001_bold.json\n│           ├── sub-01_ses-01_task-walking1_run-001_bold.nii.gz\n│           ├── sub-01_ses-01_task-walking2_run-001_bold.json\n│           └── sub-01_ses-01_task-walking2_run-001_bold.nii.gz\n</pre>\nValidation Data\n---------------\nA validation file (`derivatives/MRI_DataValidation.xls`) is provided to summarize dataset completeness and quality checks.\n- **Sheet: Files**\n  Lists presence/absence of EEG, MRI, and SPM outputs across subjects (S1–S5).\n  Includes counts for beta, con, spmT maps, and DTI volumes.\n- **Sheet: VMRK-R128**\n  Reports event marker counts (R128 triggers) for baseline, walking1, and walking2 tasks.\n- **Sheet: EEG-Duration**\n  Provides task durations (minutes) for 'baseline', 'walking1', and 'walking2' EEG recordings.\nNotes on Organization\n---------------------\n* Raw data (anat, func, eeg) are stored under each subject directory (sub-XX/ses-YY).\n* Derivatives: Preprocessed outputs are stored separately under derivatives/sub-XX/ses-YY, including:<br>\n&emsp;- Statistical Parametric Mapping (SPM) outputs<br>\n&emsp;- SPM-normalized (warped) anatomical scans<br>\n&emsp;- Diffusion Tensor Imaging (DTI) derivatives<br>\n&emsp;- Validation Excel file<br>\n* The video stimulus is stored in the top-level stimuli/ folder.\n* Naming conventions follow BIDS entities:<br>\n&emsp;- sub-&lt;label&gt;  : subject identifier<br>\n&emsp;- ses-&lt;label&gt;  : session identifier<br>\n&emsp;- task-&lt;label&gt; : task name (baseline, walking1, walking2)<br>\n&emsp;- run-&lt;index&gt;  : run number<br>\nCitation\n--------\nIf you use this dataset, please cite the associated study and acknowledge the contributors.","recording_modality":["eeg"],"senior_author":"Jose L. Contreras-Vidal","sessions":["01"],"size_bytes":5761229857,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["baseline","walking1","walking2"],"timestamps":{"digested_at":"2026-04-22T12:29:51.709216+00:00","dataset_created_at":"2025-11-19T18:59:11.074Z","dataset_modified_at":"2026-02-18T07:13:00.000Z"},"total_files":14,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006945","raw_key":"dataset_description.json","dep_keys":["CHANGES","README.md","datacite.yml"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"0c5c62719f2cf55f","model":"openai/gpt-5.2","tagged_at":"2026-01-20T19:15:39.318350+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Motor"],"confidence":{"pathology":0.8,"modality":0.8,"type":0.8},"reasoning":{"few_shot_analysis":"Closest few-shot convention match is the \"EEG Motor Movement/Imagery Dataset\" (Healthy / Visual / Motor): it treats movement execution/imagery as Type=Motor even though the cue is visual (targets on a screen). This dataset similarly involves motor imagery (walking) cued by visual video, so we follow the same convention: Modality=Visual (stimulus channel), Type=Motor (construct). A secondary relevant convention is that baseline/rest segments can exist inside a non-rest study without forcing Type=Resting-state; the few-shot motor imagery dataset includes baseline eyes open/closed but remains Type=Motor.","metadata_analysis":"Key quoted facts from the provided README:\n1) Population: \"multimodal neuroimaging recordings from five participants\" and \"Five healthy adults\".\n2) Task/construct: \"performing kinesthetic motor imagery (KI)\" and \"Kinesthetic Motor Imagery of Walking vs. Rest\".\n3) Stimulus modality: \"Participants viewed a 10-minute video of themselves walking in the exoskeleton\" and \"A video stimulus (`stimuli/walking_exoskeleton_video.mp4`) was presented during walking tasks.\"\n4) Baseline condition exists but is contextual: \"Baseline condition: Participants mentally simulated resting state for approximately 5 minutes\" (within a larger KI walking paradigm).","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: \"Five healthy adults\".\n- Few-shot pattern suggests: motor imagery datasets with volunteers are typically labeled Healthy.\n- Alignment: ALIGN.\n\nModality:\n- Metadata says: \"Participants viewed a 10-minute video\" and \"A video stimulus ... was presented\".\n- Few-shot pattern suggests: when cues are on a screen/video, Modality=Visual even if the response/imagery is motor.\n- Alignment: ALIGN.\n\nType:\n- Metadata says: \"kinesthetic motor imagery (KI)\" and \"Walking vs. Rest\".\n- Few-shot pattern suggests: motor imagery/execution paradigms are Type=Motor; embedded baseline/rest does not necessarily change the overall Type.\n- Alignment: ALIGN.","decision_summary":"Top-2 candidate selection:\n\nPathology:\n1) Healthy (selected): supported by \"Five healthy adults\" and \"five participants\" described as healthy.\n2) Unknown (runner-up): would apply only if no recruitment/health status were stated.\nDecision: Healthy wins due to explicit participant description. Confidence=0.8 (2 explicit quotes).\n\nModality:\n1) Visual (selected): supported by \"Participants viewed a 10-minute video\" and \"A video stimulus ... was presented during walking tasks\".\n2) Motor (runner-up): plausible if there were no external stimuli and the paradigm were purely imagery-driven.\nDecision: Visual wins because the dominant presented stimulus is a video. Confidence=0.8 (2 explicit quotes).\n\nType:\n1) Motor (selected): supported by \"kinesthetic motor imagery (KI)\" and \"Walking vs. Rest\" framing.\n2) Resting-state (runner-up): plausible because there is a baseline rest period (\"mentally simulated resting state\").\nDecision: Motor wins because the core study purpose is motor imagery of walking, with rest as a comparison condition. Confidence=0.8 (2 explicit quotes)."}},"computed_title":"Dataset: T1-Weighted Structural MRI and fMRI of Participants Viewing Self-Avatar Exoskeleton Walking (11 SWS Cycles)","nchans_counts":[{"val":64,"count":14}],"sfreq_counts":[{"val":5000.0,"count":14}],"stats_computed_at":"2026-04-22T23:16:00.312205+00:00","total_duration_s":7598.2,"author_year":"Sarkar2025_T1_Weighted_Structural","canonical_name":null}}