{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a337d","dataset_id":"ds004738","associated_paper_doi":null,"authors":["Bahne H. Bahners","Roxanne Lofredi","Tilmann Sander","Alfons Schnitzler","Andrea A. Kuhn","Esther Florin"],"bids_version":"1.2.0","contact_info":["Bahne Bahners"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds004738.v1.0.1","datatypes":["meg"],"demographics":{"subjects_count":4,"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/ds004738","osf_url":null,"github_url":null,"paper_url":null},"funding":["Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project ID 424778381, TRR 295."],"ingestion_fingerprint":"02263ac53dad5b7c426c3e1adc2776a68cfba1171463d8f03c8bc9c4410fe0e9","license":"CC0","n_contributing_labs":null,"name":"sfb_meg_phantom (B04/C01)","readme":"This dataset is a part of the data used for the study: 'Bahners B.H., Lofredi R. , Sander T., Schnitzler A., Kuhn A.A., Florin E. Deep brain stimulation device-specific artefacts in MEG recordings. 2023, submitted. doi: tba'\nPlease use the latest version of the dataset.\nFor detailed information about measurement protocol please refer to doi: tba. Additional information about Neuromag Phantom measurement is provided below.\n--------------\nNeuromag Phantom Measurement\nMovement onset is recorded with an accelerometer and captured with MISC006-MISC008","recording_modality":["meg"],"senior_author":"Esther Florin","sessions":["220426","220616"],"size_bytes":6587104869,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["dip13","dip13mov"],"timestamps":{"digested_at":"2026-04-22T12:26:50.209666+00:00","dataset_created_at":"2023-09-03T09:15:15.944Z","dataset_modified_at":"2023-09-03T10:42:30.000Z"},"total_files":25,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004738","raw_key":"dataset_description.json","dep_keys":["CHANGES","README.md","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"aac4faca8acec07a","model":"openai/gpt-5.2","tagged_at":"2026-01-20T10:46:15.089336+00:00"},"tags":{"pathology":["Other"],"modality":["Other"],"type":["Other"],"confidence":{"pathology":0.7,"modality":0.8,"type":0.8},"reasoning":{"few_shot_analysis":"Closest few-shot match is the \"Phantom EEG Dataset with Motion, Muscle, and Eye Artifacts...\" example (phantom/non-human recordings aimed at methodology/artifact characterization rather than cognition). That example maps a phantom dataset to Pathology=Healthy by convention and Type to a non-cognitive category (it used Attention, but the key convention is that artifact/method datasets are not mapped to Perception/Memory/etc.). In the current dataset, the metadata explicitly mentions a phantom measurement and DBS device-specific artefacts, which is even more clearly a methods/artifact dataset; thus Type=Other is a better fit than any cognitive label.","metadata_analysis":"Key quoted metadata facts: (1) \"Deep brain stimulation device-specific artefacts in MEG recordings.\" (2) \"Neuromag Phantom Measurement\" (3) \"Movement onset is recorded with an accelerometer\". There is no mention of recruited patients/diagnoses/controls, and no explicit sensory stimulus/task paradigm beyond phantom measurement and motion onset capture.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata SAYS \"Neuromag Phantom Measurement\" (phantom, not a recruited clinical cohort). Few-shot pattern SUGGESTS phantom datasets may be labeled \"Healthy\" by convention (see phantom example). ALIGN/CONFLICT: partial conflict (phantom is not truly a healthy human cohort). Decision: choose Other because metadata indicates non-human phantom measurement and provides no human cohort info; \"Healthy\" would be misleading as a recruited population.\n\nModality: Metadata SAYS \"device-specific artefacts\" and \"Phantom Measurement\" with \"Movement onset... recorded with an accelerometer\"; no sensory stimuli are described. Few-shot pattern SUGGESTS modality should reflect stimulus channel; in methodology/phantom datasets with no stimuli, labels often fall to Other/Unknown. ALIGN: aligns with Modality=Other.\n\nType: Metadata SAYS focus is \"device-specific artefacts in MEG recordings\" (methods/artifact characterization), not a cognitive construct. Few-shot pattern SUGGESTS non-cognitive/methodological datasets should not be mapped to Memory/Perception/etc.; phantom example is also methodological. ALIGN: aligns with Type=Other.","decision_summary":"Pathology top-2: (A) Other — supported by quotes \"Neuromag Phantom Measurement\" and lack of any recruited diagnosis/participant description; (B) Healthy — suggested only by the few-shot convention where a phantom dataset was labeled Healthy. Head-to-head: Other wins because metadata indicates a phantom measurement (not a human cohort) and provides no health status. \n\nModality top-2: (A) Other — supported by quotes \"device-specific artefacts\" and \"Neuromag Phantom Measurement\" with no sensory stimuli described; (B) Motor — weakly suggested by \"Movement onset is recorded with an accelerometer\". Head-to-head: Other wins because accelerometer capture does not imply a motor stimulus paradigm; the dataset aim is artefact characterization.\n\nType top-2: (A) Other — supported by quotes \"device-specific artefacts in MEG recordings\" and \"Neuromag Phantom Measurement\" indicating methodological/artefact focus; (B) Motor — weak alternative due to movement onset recording. Head-to-head: Other wins because the primary research purpose is artefact characterization, not movement neuroscience.\n\nConfidence justification: Pathology has 1 strong quote indicating phantom + absence of cohort info (moderate certainty). Modality and Type are each supported by 2 explicit quotes indicating artefact/phantom focus and absence of stimulus/task details (higher certainty)."}},"nemar_citation_count":1,"computed_title":"sfb_meg_phantom (B04/C01)","nchans_counts":[{"val":323,"count":13},{"val":160,"count":12}],"sfreq_counts":[{"val":5000.0,"count":25}],"stats_computed_at":"2026-04-22T23:16:00.308218+00:00","total_duration_s":1565.7,"author_year":"Bahners2023","canonical_name":null}}