{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3447","dataset_id":"ds006374","associated_paper_doi":null,"authors":["Lisa-Marie Pohle","Moritz Nickel","Birgit Nierula","Markus Ploner","Ulrike Horn","Falk Eippert"],"bids_version":"1.6.0","contact_info":["Lisa-Marie Geertje Pohle","Falk Eippert"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds006374.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":36,"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/ds006374","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"5183063562116b8b91b7eebd94256155a06eb5e37c04ac1269fa5630e0cfc6e7","license":"CC0","n_contributing_labs":null,"name":"Expectation effects on repetition suppression in nociception","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":33413497382,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["detection","expsupp"],"timestamps":{"digested_at":"2026-04-22T12:29:19.378051+00:00","dataset_created_at":"2025-06-19T14:36:16.257Z","dataset_modified_at":"2025-07-10T14:56:25.000Z"},"total_files":358,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006374","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"c4271e7c878eb572","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":0.7,"type":0.7},"reasoning":{"few_shot_analysis":"Most similar few-shot example for stimulus modality is the tactile Braille-letter dataset (\"Braille letters - EEG\"), which maps somatosensory/finger stimulation to Modality=\"Tactile\". Although the current dataset is pain/nociception rather than Braille, both are somatosensory input. For Type labeling convention, the visual discrimination example (moving dots discrimination) is labeled Type=\"Perception\" when the core goal is stimulus processing/detection; the current dataset’s tasks are also framed as detection/response to sensory (nociceptive) stimulation, so the same Perception convention applies.","metadata_analysis":"Key metadata indicating nociceptive (somatosensory/pain) stimulation and a detection paradigm:\n- Title: \"Expectation effects on repetition suppression in nociception\" (nociception implies pain/somatosensory stimulation).\n- Tasks list: \"tasks\": [\"detection\", \"expsupp\"] (explicit detection task; \"expsupp\" suggests expectation/suppression manipulation around repeated stimuli).\n- Participants: \"Subjects: 36\" (no clinical group/diagnosis described anywhere in provided metadata).","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n1) Metadata says: no diagnosis/population is stated; only \"Subjects: 36\".\n2) Few-shot pattern suggests: when no disorder-focused recruitment is described, datasets are typically labeled \"Healthy\" (normative cohort convention).\n3) Alignment: PARTIAL (metadata is silent; few-shot provides a convention).\n4) Resolution: choose \"Healthy\" by normative-cohort convention, but keep confidence moderate due to lack of explicit statement.\n\nModality:\n1) Metadata says: \"nociception\" in the title (pain/somatosensory input).\n2) Few-shot pattern suggests: somatosensory stimulation (e.g., Braille under fingers) maps to \"Tactile\".\n3) Alignment: ALIGN.\n\nType:\n1) Metadata says: tasks include \"detection\" and the title focuses on sensory processing effects (\"repetition suppression in nociception\").\n2) Few-shot pattern suggests: discrimination/detection paradigms are labeled \"Perception\" (e.g., visual discrimination example).\n3) Alignment: ALIGN.","decision_summary":"Top-2 candidates and selection:\n\nPathology:\n- Candidate 1: Healthy\n  Evidence: no clinical condition named; only \"Subjects: 36\"; title is basic science (\"Expectation effects on repetition suppression in nociception\").\n- Candidate 2: Unknown\n  Evidence: metadata never explicitly states \"healthy\"/\"controls\".\nDecision: Healthy (normative-cohort convention when no disorder recruitment is indicated). Alignment status: PARTIAL (metadata silent).\nConfidence basis: contextual inference only from absence of pathology info + typical experimental framing.\n\nModality:\n- Candidate 1: Tactile\n  Evidence: title explicitly references \"nociception\" (somatosensory/pain input).\n- Candidate 2: Other\n  Evidence: stimulation device/type not specified; could be e.g., laser/thermal/electrical, but still somatosensory.\nDecision: Tactile. Alignment status: ALIGN (nociception is somatosensory; matches tactile convention).\nConfidence basis: one explicit keyword (\"nociception\") + strong few-shot analog to somatosensory stimulation.\n\nType:\n- Candidate 1: Perception\n  Evidence: task includes \"detection\"; focus on \"repetition suppression\" in a sensory domain (nociception).\n- Candidate 2: Attention\n  Evidence: \"expectation effects\" could be framed as attentional/predictive modulation.\nDecision: Perception because the task and title emphasize sensory processing/detection and repetition suppression rather than attentional control per se. Alignment status: ALIGN.\nConfidence basis: explicit \"detection\" task label + title framing in sensory processing."}},"computed_title":"Expectation effects on repetition suppression in nociception","nchans_counts":[{"val":35,"count":358}],"sfreq_counts":[{"val":2000.0,"count":358}],"stats_computed_at":"2026-04-22T23:16:00.311529+00:00","total_duration_s":113799.7365,"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":"Pohle2025"}}