{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a33d3","dataset_id":"ds005307","associated_paper_doi":null,"authors":["Birgit Nierula","Tilman Stephani","Emma Bailey","Merve Kaptan","Lisa-Marie Pohle","Ulrike Horn","Andre Mouraux","Burkhard Maess","Arno Villringer","Gabriel Curio","Vadim Nikulin","Falk Eippert"],"bids_version":"1.7.0","contact_info":["Falk Eippert"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds005307.v1.0.1","datatypes":["eeg"],"demographics":{"subjects_count":7,"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/ds005307","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"5f85d10a992ea5109381ed300517de22261ea4d00886c38602d543ed3c212a30","license":"CC0","n_contributing_labs":null,"name":"Laser-evoked potentials in the human spinal cord and cortex","readme":"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\nPernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8","recording_modality":["eeg"],"senior_author":"Falk Eippert","sessions":[],"size_bytes":19411390126,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["pain"],"timestamps":{"digested_at":"2026-04-22T12:27:39.804407+00:00","dataset_created_at":"2024-07-04T16:21:54.524Z","dataset_modified_at":"2024-08-15T14:43:17.000Z"},"total_files":73,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005307","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"1a3d4517a77bfddd","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Healthy"],"modality":["Tactile"],"type":["Perception"],"confidence":{"pathology":0.6,"modality":0.8,"type":0.75},"reasoning":{"few_shot_analysis":"Closest few-shot match by stimulus channel is the 'Braille letters - EEG' example (Modality=Tactile), which maps somatosensory stimulation delivered to fingers to the Tactile modality. This guides labeling laser-evoked (nociceptive/somatosensory) stimulation as Tactile as well. For Type, several few-shot examples show that stimulus-evoked sensory responses (e.g., auditory ABR/music-speech; visual discrimination) are labeled as Perception when the main goal is sensory/evoked response characterization rather than learning/motor/clinical intervention; this supports labeling laser-evoked potentials to pain as Perception.","metadata_analysis":"Key metadata facts: (1) Title indicates stimulus-evoked responses: \"Laser-evoked potentials in the human spinal cord and cortex\". (2) The only listed task is explicitly pain-related: \"tasks\": [\"pain\"]. (3) No recruitment diagnosis is stated; only sample size: \"participants_overview\": \"Subjects: 7\". The dataset_description repeats the same study focus: \"Name: Laser-evoked potentials in the human spinal cord and cortex\".","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata SAYS no clinical group/diagnosis (only \"Subjects: 7\"; no mention of patients). Few-shot pattern SUGGESTS labeling as Healthy when no disorder recruitment is stated. ALIGN (inference consistent; no conflicting explicit diagnosis).\nModality: Metadata SAYS \"Laser-evoked potentials\" and task \"pain\", implying nociceptive/somatosensory stimulation. Few-shot pattern SUGGESTS somatosensory stimulation datasets map to Tactile (e.g., Braille example). ALIGN.\nType: Metadata SAYS evoked potentials to pain stimulation (\"Laser-evoked potentials\"; task \"pain\"). Few-shot pattern SUGGESTS stimulus-evoked sensory response studies map to Perception (sensory processing) unless primarily clinical/motor/learning. ALIGN.","decision_summary":"Top-2 candidates per category:\n- Pathology: (1) Healthy — supported by absence of any stated diagnosis/recruitment condition (\"Subjects: 7\" only; no patient terms in title/README). (2) Unknown — plausible because the metadata never explicitly says \"healthy\". Winner: Healthy (no explicit clinical population stated anywhere). Evidence alignment: aligned.\n- Modality: (1) Tactile — supported by \"Laser-evoked\" + task \"pain\" indicating somatosensory/nociceptive stimulation; consistent with tactile-label convention from the Braille few-shot. (2) Other — possible if one treats pain/laser as its own category, but no such allowed label exists. Winner: Tactile. Evidence alignment: aligned.\n- Type: (1) Perception — supported by evoked potentials to sensory/pain stimuli (\"Laser-evoked potentials\"; task \"pain\"). (2) Attention — weak alternative if pain-attention manipulation existed, but not indicated in metadata. Winner: Perception. Evidence alignment: aligned.\nConfidence justification: Pathology is lower because \"healthy\" is not explicitly stated; Modality/Type are supported by 2+ explicit metadata snippets (title + task) and a clear few-shot convention match for somatosensory stimulation."}},"nemar_citation_count":1,"computed_title":"Laser-evoked potentials in the human spinal cord and cortex","nchans_counts":[{"val":77,"count":50},{"val":109,"count":18},{"val":110,"count":5}],"sfreq_counts":[{"val":10000.0,"count":73}],"stats_computed_at":"2026-04-22T23:16:00.309320+00:00","source_url":"https://openneuro.org/datasets/ds005307","total_duration_s":5676.515,"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":"Nierula2024"}}