{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3348","dataset_id":"ds004398","associated_paper_doi":"10.1101/2021.11.08.467745","authors":["G. Elliott Wimmer","Yunzhe Liu","Daniel C. McNamee","Raymond J. Dolan"],"bids_version":"","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds004398.v1.0.0","datatypes":["meg"],"demographics":{"subjects_count":1,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"paper_url":"https://doi.org/10.1101/2021.11.08.467745"},"funding":["G.E.W. was supported by a fellowship from the Deutsche Forschungsgemeinschaft (DFG) and an MRC Career Development Award (MR/V032429/1)","R.D. is supported by Wellcome Trust Investigator Award 098362/ Z/12/Z.","Y.L. was supported by the Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning.","D.C.M. was supported by a Sir Henry Wellcome Trust Postdoctoral Research Fellowship Q: (110257/Z/15/Z).","The Wellcome Centre for Human Neuroimaging is supported by core funding from the Wellcome Trust (203147/Z/16/Z).","The Max Planck University College London Centre is a joint initiative supported by University College London and the Max Planck Society."],"ingestion_fingerprint":"dbf1c584c13739dc4a5e38d2d65c4b707abef1b193578f60435b2642afe85b24","license":"CC0","n_contributing_labs":null,"name":"planmemreplay","readme":"The MEG files contain a channel with triggers necessary for event marking and timing. Separate event files with onsets are provided in the participant directories for completeness only; the MEG triggers should be used for actual onsets in analysis. The delay between the trigger and the visual onset of an on-screen event sent by the projector is approximately 20 ms, as estimated using a photodiode.\nLocalizer phase triggers: [Info to be added]\nStruct and Rew phase triggers: [Info to be added]\nPost triggers:  [Info to be added]","recording_modality":["meg"],"senior_author":null,"sessions":[],"size_bytes":1373094775,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["loc"],"timestamps":{"digested_at":"2026-05-31T16:14:47.325895+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":1,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004398","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","task-loc_events.json","task-post_events.json","task-rew_events.json","task-struct_events.json"]},"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Decision-making"],"confidence":{"pathology":0.8,"modality":0.9,"type":0.8},"reasoning":{"few_shot_analysis":"The few-shot example labeled 'Schizophrenia/Psychosis', 'Visual', 'Perception' aligns with our dataset due to a shared focus on perceptual tasks ('visual discrimination task'). Both datasets involve healthy and clinical populations but emphasize task-based EEG (or MEG) signals originating from visual tasks.","metadata_analysis":"The 'readme' and 'dataset_description' sections mention 'visual onset of an on-screen event' suggesting the use of visual stimuli. The abstract discusses 'reward learning task' with 'planning and memory consolidation', indicating a focus on cognitive functions related to decision-making and memory.","paper_abstract_analysis":"The abstract indicates that the study examines 'neural replay' in relation to 'planning and memory consolidation'. It describes tasks that involve 'reward learning', suggesting cognitive constructs tied to 'Decision-making' and 'Memory'.","evidence_alignment_check":"1. Pathology: The dataset's metadata lacks explicit mention of a clinical condition, suggesting 'Healthy'. This aligns with few-shot examples where similar descriptions imply broadly studied cognitive processes in 'Healthy' subjects. 2. Modality: The metadata clearly states 'visual onset', aligning directly with 'Visual' as the modality. 3. Type: Metadata cites a 'reward learning task' related to 'model-based decision-making' and 'memory preservation', indicative of 'Decision-making'. Few-shot cases similar to this linking learning and decision-making to cognitive demands support this inference.","decision_summary":"For 'Pathology', 'Healthy' was chosen as there is no explicit clinical population. The 'Visual' modality was derived from the 'visual onset' emphasis. 'Decision-making' was determined due to the task's cognitive focus on 'planning' and 'reward learning'. The secondary candidate, 'Memory', is encapsulated in the study context but is less emphasized than decision-making processes."}},"nemar_citation_count":1,"computed_title":"planmemreplay","nchans_counts":[{"val":305,"count":1}],"sfreq_counts":[{"val":600.0,"count":1}],"stats_computed_at":"2026-05-31T19:34:32.599036+00:00","total_duration_s":null,"canonical_name":null,"name_confidence":0.86,"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":"Wimmer2023","bad_channels_info":null,"how_to_acknowledge":"Please cite https://doi.org/10.1101/2021.11.08.467745 (update to PNAS)","references_and_links":["https://github.com/gewimmer-neuro/multistep-replay","https://osf.io/szjxp/","https://doi.org/10.1101/2021.11.08.467745 (update to PNAS)"],"associated_paper_meta":{"channel":"text/how_to_acknowledge","confidence":"high","author_overlap":4,"is_oa":true,"oa_status":"preprint","source":"paper_resolver"}}}