{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3432","dataset_id":"ds006035","associated_paper_doi":null,"authors":["Fa-Hsuan Lin","Deirdre Foxe von Pechmann","Kaisu Lankinen","Seppo Ahlfors","Bruce Rosen","Jyrki Ahveninen","Matti Hämäläinen","Tommi Raij"],"bids_version":"1.7.0","contact_info":["Tommi Raij"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds006035.v1.0.0","datatypes":["meg"],"demographics":{"subjects_count":5,"ages":[34,25,40,30,27],"age_min":25,"age_max":40,"age_mean":31.2,"species":null,"sex_distribution":{"m":3,"f":2},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds006035","osf_url":null,"github_url":null,"paper_url":null},"funding":["NIH P41RR014075, P41EB030006"],"ingestion_fingerprint":"058df7d73d32d0da404d2591dfc75ffd9d93bbef70d50533e2824625cee8a7ab","license":"CC0","n_contributing_labs":null,"name":"somatomotor","readme":"Accession: #: ds006035\nDescription: Multi-subject, multi-modal (sMRI+MEG+EEG) neuroimaging dataset for median nerve stimulation and motor responses.\nThis dataset contains MRI (T1w), MEG, and EEG data for median nerve electrical stimuli delivered at the right wrist.\nThe task was to respond by lifting the left hand idex finger as quickly as possible after each right median nerve stimulus.\nmeg/\n----\nThree anatomical fiducials were digitized for aligning the MEG with the MRI:\n1. nasion (lowest depression between the eyes);\n2. left pre-auricular point;\n3. right pre-auricular point.\nThe following triggers are included in the .fif files and are also used in the “value” column of the meg events .tsv files:\nTrigger     Label                                        Simplified Label\n32             somatosensory stimulus      somatosensory\n16             finger lift response                finger\nIf you wish to publish any of these data, please acknowledge the authors.\nBIDS References\n----------\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896).https://doi.org/10.21105/joss.01896\nNiso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A., Henson, R. N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J., Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data, 5, 180110.https://doi.org/10.1038/sdata.2018.110","recording_modality":["meg"],"senior_author":"Tommi Raij","sessions":["meeg"],"size_bytes":3295034095,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["somatomotor"],"timestamps":{"digested_at":"2026-04-22T12:29:04.314897+00:00","dataset_created_at":"2025-03-20T05:08:27.231Z","dataset_modified_at":"2025-03-21T18:44:26.000Z"},"total_files":15,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006035","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"a17a4329656e0c2b","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Healthy"],"modality":["Tactile"],"type":["Motor"],"confidence":{"pathology":0.7,"modality":0.85,"type":0.9},"reasoning":{"few_shot_analysis":"Closest few-shot examples by paradigm components:\n- Tactile stimulation: The \"Braille letters - EEG\" example is labeled Modality=Tactile, showing that somatosensory input delivered to fingers/hands maps to the Tactile modality.\n- Motor response task: The \"EEG Motor Movement/Imagery Dataset\" example is labeled Type=Motor, showing that paradigms centered on movement execution/imagery map to the Motor type.\nThis dataset combines somatosensory stimulation (median nerve) with an explicit finger-lift reaction, so it fits the same modality convention as the Braille example (tactile/somatosensory input) and the same construct convention as the motor/imagery example (movement response as a primary component).","metadata_analysis":"Key quoted metadata facts:\n- Population/task framing: \"Multi-subject, multi-modal (sMRI+MEG+EEG) neuroimaging dataset for median nerve stimulation and motor responses.\"\n- Stimulus modality: \"median nerve electrical stimuli delivered at the right wrist.\" and trigger table includes \"32 somatosensory stimulus\".\n- Motor action requirement: \"The task was to respond by lifting the left hand idex finger as quickly as possible after each right median nerve stimulus.\" and trigger table includes \"16 finger lift response\".\n- No clinical recruitment mentioned: \"Subjects: 5; ... Age range: 25-40\" with no disorder terms.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: no diagnosis stated; only \"Subjects: 5\" with demographics and a generic experimental description.\n- Few-shot pattern suggests: similar basic neuroscience task datasets without clinical recruitment are labeled Healthy.\n- Alignment: ALIGN (no clinical population mentioned).\n\nModality:\n- Metadata says: \"median nerve electrical stimuli delivered at the right wrist\" and triggers label \"somatosensory stimulus\".\n- Few-shot pattern suggests: somatosensory input to hands/fingers (e.g., Braille) maps to Modality=Tactile.\n- Alignment: ALIGN.\n\nType:\n- Metadata says: \"median nerve stimulation and motor responses\" and \"respond by lifting the left hand idex finger\".\n- Few-shot pattern suggests: tasks centered on movement execution/response map to Type=Motor (per motor movement/imagery example).\n- Alignment: ALIGN (primary construct appears sensorimotor/motor response rather than passive perception-only).","decision_summary":"Top-2 candidates with head-to-head selection:\n\nPathology:\n1) Healthy (selected)\n- Evidence: no disorder/diagnosis language; only demographics (\"Subjects: 5; ... Age range: 25-40\").\n2) Unknown (runner-up)\n- Rationale: metadata does not explicitly say \"healthy\".\nDecision: Healthy wins because the dataset description is a standard experimental physiology paradigm with no clinical recruitment described.\nConfidence basis: one clear negative-evidence pattern (absence of any clinical terms) plus standard convention.\n\nModality:\n1) Tactile (selected)\n- Evidence: \"median nerve electrical stimuli delivered at the right wrist\"; trigger \"somatosensory stimulus\".\n2) Other (runner-up)\n- Rationale: electrical peripheral nerve stimulation could be viewed as non-classical tactile, but still somatosensory.\nDecision: Tactile wins because the input channel is explicitly somatosensory/median nerve stimulation.\nConfidence basis: 2 explicit quotes supporting somatosensory stimulation.\n\nType:\n1) Motor (selected)\n- Evidence: \"motor responses\"; \"respond by lifting the left hand idex finger\"; trigger \"finger lift response\".\n2) Perception (runner-up)\n- Rationale: median nerve stimulation could support somatosensory evoked/perceptual processing analyses.\nDecision: Motor wins because the task instruction and dataset framing explicitly emphasize a speeded finger-lift response (movement execution) following stimulation.\nConfidence basis: 3 explicit motor-response indicators (\"motor responses\", finger-lift instruction, and response trigger label)."}},"computed_title":"somatomotor","nchans_counts":[{"val":388,"count":12},{"val":387,"count":3}],"sfreq_counts":[{"val":1004.01611328125,"count":15}],"stats_computed_at":"2026-04-22T23:16:00.311252+00:00","total_duration_s":4083.5838646062566,"canonical_name":null,"name_confidence":0.55,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"Lin2025"}}