{"success":true,"database":"eegdash","data":{"_id":"69a33a3b897a7725c66f3eea","dataset_id":"ds007322","associated_paper_doi":null,"authors":["Prakash Mishra","Tapan K Gandhi","Saurabh R. Gandhi"],"bids_version":"1.7.0","contact_info":["Prakash Mishra","Saurabh Rajendra Gandhi"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds007322.v1.0.1","datatypes":["eeg"],"demographics":{"subjects_count":57,"ages":[30,25,25,28,31,28,25,28,25,26,25,20,18,22,19,18,21,18,21,21,21,22,34,27,28,34,26,25,34,31,34,38,28,27,25,23,26,22,22,21,23,24,23,23,48,24,20,26,20,30,22,21,20,25,20,23,22],"age_min":18,"age_max":48,"age_mean":25.19298245614035,"species":null,"sex_distribution":{"m":43,"f":14},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds007322","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"abd0bb693144c1109ae52e4ac80fe333384331e46245d646e6e3a86f2fabc2ff","license":"CC0","n_contributing_labs":null,"name":"Personalized smartphone notifications bias auditory salience across processing stages","readme":"Auditory Oddball Experiment to understand how Personalized smartphone notifications bias auditory salience across processing stages","recording_modality":["eeg"],"senior_author":"Saurabh R. Gandhi","sessions":[],"size_bytes":45648502420,"source":"openneuro","storage":{"backend":"s3","base":"s3://openneuro.org/ds007322","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"study_design":null,"study_domain":null,"tasks":["auditoryoddball"],"timestamps":{"digested_at":"2026-04-22T12:30:10.602975+00:00","dataset_created_at":"2026-01-26T05:44:30.612Z","dataset_modified_at":"2026-02-19T16:05:59.000Z"},"total_files":57,"computed_title":"Personalized smartphone notifications bias auditory salience across processing stages","nchans_counts":[{"val":64,"count":31},{"val":66,"count":26}],"sfreq_counts":[{"val":1000.0,"count":57}],"stats_computed_at":"2026-04-22T23:16:00.312593+00:00","total_duration_s":175324.043,"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"02fd0ca3f21c8d17","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Healthy"],"modality":["Auditory"],"type":["Attention"],"confidence":{"pathology":0.7,"modality":0.9,"type":0.7},"reasoning":{"few_shot_analysis":"Most similar few-shot paradigms are the oddball datasets: (1) “Cross-modal Oddball Task” (Parkinson’s; labeled Modality=Multisensory, Type=Clinical/Intervention) and (2) “EEG: Three-Stim Auditory Oddball and Rest in Acute and Chronic TBI” (TBI; Modality=Auditory). These examples guide that (a) oddball tasks are categorized primarily by stimulus channel (auditory vs multisensory) and (b) Pathology should follow the recruited clinical group when present. In the current dataset, there is an auditory oddball task but no stated clinical recruitment, so the pathology convention aligns with labeling as Healthy and focusing Type on the cognitive construct typically probed by oddball/salience (attention-oriented processing).","metadata_analysis":"Key metadata indicating paradigm and stimulus channel: (1) README: \"Auditory Oddball Experiment\" and \"Personalized smartphone notifications bias auditory salience\" (auditory salience manipulation). (2) Tasks field: \"auditoryoddball\". Participant info shows only demographics without any diagnosis/clinical grouping: \"Subjects: 57; Sex... Age range: 18-48\" and no mention of patients/condition-based recruitment.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says only demographics (\"Subjects: 57... Age range: 18-48\") and does not mention any disorder; few-shot pattern suggests using explicit clinical recruitment when present (e.g., PD, TBI) and otherwise Healthy. ALIGN (no clinical facts stated; Healthy is consistent).\nModality: Metadata explicitly says \"Auditory Oddball Experiment\" and task is \"auditoryoddball\"; few-shot oddball examples map modality by stimulus channel (auditory vs multisensory). ALIGN.\nType: Metadata emphasizes \"bias auditory salience across processing stages\" in an oddball context; few-shot oddball conventions commonly reflect attentional orienting/salience processing rather than motor/rest. ALIGN overall, though Perception is a plausible alternative because salience relates to sensory processing.","decision_summary":"Top-2 candidates per category:\n- Pathology: (Healthy) vs (Unknown). Evidence for Healthy: absence of any clinical recruitment/diagnosis in provided metadata (\"Subjects: 57...\" only) plus few-shot convention that clinical labels require explicit diagnosis. Selected Healthy. Confidence reflects lack of an explicit \"healthy\" statement.\n- Modality: (Auditory) vs (Multisensory). Evidence for Auditory: \"Auditory Oddball Experiment\" and task \"auditoryoddball\"; no indication of other stimulus channels. Selected Auditory.\n- Type: (Attention) vs (Perception). Evidence for Attention: oddball paradigm and focus on \"auditory salience\" (salience/orienting across processing stages). Evidence for Perception: salience can be construed as sensory processing. Selected Attention as better match to oddball target detection/salience framework."}},"canonical_name":null,"name_confidence":0.74,"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":"Mishra2026"}}