{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3465","dataset_id":"ds006768","associated_paper_doi":"10.1101/2025.07.10.663816","authors":["Benjamin G. Lowe","Alexandra Woolgar","Sophie Smit","Anina N. Rich"],"bids_version":"1.11.0","contact_info":null,"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds006768.v1.1.0","datatypes":["eeg"],"demographics":{"subjects_count":30,"ages":[25,19,18,20,20,21,20,29,19,18,17,27,17,21,27,18,17,18,20,18,20,18,21,18,17,18,19,18,18,30],"age_min":17,"age_max":30,"age_mean":20.2,"species":null,"sex_distribution":null,"handedness_distribution":{"r":28,"l":2}},"experimental_modalities":null,"external_links":{"paper_url":"https://doi.org/10.1101/2025.07.10.663816"},"funding":[],"ingestion_fingerprint":"f2fe7c07cdad154d4aefc087f912a14ca1674ca56fc9faac0461871b26a4be89","license":"CC0","n_contributing_labs":null,"name":"Multiple Object Monitoring (EEG)","readme":"Subjects (N = 30) completed a Multiple Object Monitoring (MOM) task. Methodological details can be read within the pre-print: https://doi.org/10.1101/2025.07.10.663816\nPlease email ben.lowe@mq.edu.au if you have any further questions.","recording_modality":["eeg"],"senior_author":null,"sessions":[],"size_bytes":11946914281,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["MOM"],"timestamps":{"digested_at":"2026-05-31T16:26:05.105004+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":210,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006768","raw_key":"dataset_description.json","dep_keys":["CHANGES","README.txt","participants.json","participants.tsv","task-MOM_eeg.json","task-MOM_events.json","task-MOM_recording-eyetracking_physio.json"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"a27be60a1f856c78","model":"openai/gpt-5.2","tagged_at":"2026-01-20T19:07:52.239162+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Attention"],"confidence":{"pathology":0.6,"modality":0.6,"type":0.65},"reasoning":{"few_shot_analysis":"Closest few-shot convention match for Type is the dataset \"EEG: DPX Cog Ctl Task in Acute Mild TBI\", which is labeled Type=Attention for a continuous performance / cognitive control style paradigm with cue/probe monitoring. The current dataset’s named paradigm \"Multiple Object Monitoring (MOM)\" similarly implies sustained monitoring/vigilance rather than sensory psychophysics (Perception) or reward/choice (Decision-making). For Pathology, most few-shots that simply describe \"subjects\"/\"participants\" without an explicit diagnosis are labeled Healthy (e.g., multiple healthy college-student task datasets). For Modality, many attention/monitoring paradigms in the few-shots are visual when stimuli are screen-based; MOM tasks are conventionally screen-based object monitoring, guiding a Visual modality inference.","metadata_analysis":"Only minimal metadata is provided. Key lines:\n1) \"Subjects (N = 30) completed a Multiple Object Monitoring (MOM) task.\"\n2) \"Methodological details can be read within the pre-print: https://doi.org/10.1101/2025.07.10.663816\" \nNo explicit mention of clinical recruitment criteria, sensory stimulus type (visual/auditory), or rest/sleep conditions is included in the provided snippet.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says \"Subjects (N = 30)\" with no diagnosis stated. Few-shot pattern suggests that when no disorder/diagnosis is specified for a lab task dataset, label as Healthy. ALIGN (no conflict; inference consistent with conventions).\n\nModality: Metadata only names the task (\"Multiple Object Monitoring (MOM)\") and does not state stimulus modality. Few-shot pattern for monitoring/attention tasks commonly maps to Visual when tasks involve tracking/monitoring objects on a display. ALIGN but weak (metadata is silent; inference based on paradigm knowledge).\n\nType: Metadata says \"Multiple Object Monitoring (MOM) task\" which implies sustained monitoring. Few-shot pattern maps continuous monitoring/cognitive control paradigms to Attention rather than Perception/Decision-making. ALIGN (inference consistent with conventions; metadata not explicit about construct).","decision_summary":"Pathology top-2: (1) Healthy — supported by lack of any clinical descriptors and generic \"Subjects (N = 30)\"; consistent with few-shot convention that non-clinical task cohorts are Healthy. (2) Unknown — possible because health status is not explicitly stated. Final: Healthy. Confidence=0.6 because it is contextual inference only (no explicit \"healthy\" quote).\n\nModality top-2: (1) Visual — MOM paradigms are typically visual multiple-object monitoring/tracking; metadata gives task name only. (2) Unknown — because stimulus modality is not explicitly described in provided metadata. Final: Visual. Confidence=0.6 due to inference without direct stimulus description.\n\nType top-2: (1) Attention — \"Multiple Object Monitoring\" strongly indicates sustained attention/vigilance. (2) Perception — less likely if task is monitoring rather than discrimination/detection as the primary aim. Final: Attention. Confidence=0.65 because the task name supports the construct but no explicit statement (e.g., \"attention\"/\"vigilance\") is quoted."}},"computed_title":"Multiple Object Monitoring (EEG)","nchans_counts":[{"val":64,"count":210}],"sfreq_counts":[{"val":1000.0,"count":210}],"stats_computed_at":"2026-05-31T19:34:32.602881+00:00","total_duration_s":52079.0,"author_year":"Lowe2025","canonical_name":null,"bad_channels_info":null,"acknowledgements":"This work was supported by an Australian Research Council (ARC) Discovery Project grant awarded to ANR and AW (DP220101067). ANR is supported by an ARC Future Fellowship (FT230100119). AW was supported by MRC (U.K) intramural funding SUAG/093/G116768. We thank Kendall Stead, Brooklyn Gordon, and Kayla Rail for their assistance during data collection.","associated_paper_meta":{"channel":"text/readme","confidence":"high","author_overlap":4,"is_oa":true,"oa_status":"preprint","source":"paper_resolver"}}}