{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3441","dataset_id":"ds006269","associated_paper_doi":null,"authors":["Lucy Pritchard","Ingrid Buller-Peralta","Sally M Till","Peter C Kind","Alfredo Gonzalez-Sulser"],"bids_version":"1.8.0","contact_info":["Lucy  Pritchard"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds006269.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":24,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":{"m":24},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds006269","osf_url":null,"github_url":null,"paper_url":null},"funding":["The work performed here was funded by The Simons Initiative for the Developing Brain."],"ingestion_fingerprint":"830a1b3493140f76f4f18fe04b9df9c16028e015e1f2dd7da5104af95515a147","license":"CC0","n_contributing_labs":null,"name":"Tethered EEG Recordings in Syngap1 rats","readme":"This dataset consists of 6-hour long EEG recordings in wildtype (WT) and rats Syngap+/Δ−GAP (HET) rats (male, 12-16 weeks old) starting at zeitgeber time (ZT) 3 to 9 (under a 12 light hr:12 dark hr schedule with lights on at 07:00 am). Associated with each rat is two 6-hour recording files, expect for those which only underwent one recording session (S7020, , S7025, S7030, S7031, S7032, 39, S7040, S7041). Recordings were acquired with an OpenEphys acquisition system (OpenEphys, Portugal) and head-mounted 32-channel EEG array probe (H32-EEG—NeuroNexus, USA) with accelerometers (NeuroNexus, USA), at a sampling rate of 1 kHz. For more detailed methods, please see our associated publication doi: 10.1016/j.celrep.2024.114733.","recording_modality":["eeg"],"senior_author":"Alfredo Gonzalez-Sulser","sessions":["01","02"],"size_bytes":114536455305,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["rest","test"],"timestamps":{"digested_at":"2026-04-22T12:29:16.434931+00:00","dataset_created_at":"2025-05-30T08:23:30.047Z","dataset_modified_at":"2025-05-30T14:42:58.000Z"},"total_files":40,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006269","raw_key":"dataset_description.json","dep_keys":["CHANGES","README.txt","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"3305cc3dc0f04b51","model":"openai/gpt-5.2","tagged_at":"2026-01-20T18:54:16.801574+00:00"},"tags":{"pathology":["Other"],"modality":["Resting State"],"type":["Resting-state"],"confidence":{"pathology":0.75,"modality":0.6,"type":0.6},"reasoning":{"few_shot_analysis":"Most similar few-shot conventions are the no-task, long-duration recordings: (1) \"Surrey cEEGrid sleep data set\" (Healthy / Sleep / Sleep) where the README states \"The patient performed no tasks\" and recordings occur \"prior to bedtime\"—this shows that long continuous recordings without an explicit cognitive task are labeled by state (Sleep vs Resting-state) rather than by any response modality. (2) \"A Resting-state EEG Dataset for Sleep Deprivation\" (Healthy / Resting State / Resting-state) shows that when the dataset is explicitly described as resting-state (eyes open/closed) it maps to Resting State + Resting-state. For the present dataset, the metadata indicates long continuous recordings with accelerometry but does not explicitly say 'sleep' or 'resting-state', so we follow the convention to choose the closest state-based label supported by the text (runner-up: Sleep).","metadata_analysis":"Key metadata facts: (1) Population is animal model with genotype groups: \"EEG recordings in wildtype (WT) and rats Syngap+/Δ−GAP (HET) rats\". (2) Long continuous recording timed by circadian/zeitgeber schedule: \"6-hour long EEG recordings ... starting at zeitgeber time (ZT) 3 to 9 (under a 12 light hr:12 dark hr schedule...)\". (3) No mention of any explicit stimulus/task paradigm; instead acquisition hardware and movement sensing are described: \"head-mounted 32-channel EEG array probe ... with accelerometers\" and \"sampling rate of 1 kHz.\"","paper_abstract_analysis":"No useful paper information. (Only a DOI is provided; no abstract text included in the metadata.)","evidence_alignment_check":"Pathology: Metadata says the cohort is not a standard human clinical diagnosis group but an animal genetic model (quote: \"rats Syngap+/Δ−GAP (HET) rats\"), which suggests a non-listed condition → Other. Few-shot pattern suggests that explicit recruited/defined condition determines pathology (e.g., Parkinson's, TBI, Epilepsy), and when not in allowed list it becomes Other; ALIGN.\n\nModality: Metadata says there is continuous EEG recording with no described stimuli/task (quotes: \"6-hour long EEG recordings\"; no stimulus described; \"with accelerometers\"). Few-shot pattern suggests choosing Sleep when sleep is explicitly indicated (Surrey sleep dataset), and choosing Resting State when resting/eyes-open/closed is described (sleep deprivation resting-state dataset). Here sleep is not explicitly stated; PARTIAL ALIGN but ambiguous between Sleep vs Resting State; choose Resting State due to lack of explicit sleep wording.\n\nType: Metadata indicates no cognitive task and focuses on continuous recordings across ZT hours (quote: \"6-hour long EEG recordings ... starting at zeitgeber time\"). Few-shot pattern maps 'no task' recordings to Resting-state or Sleep depending on stated state. Since sleep is not explicit, we label Resting-state; PARTIAL ALIGN with the state-based convention but ambiguity remains.","decision_summary":"Top-2 candidates per category:\n\nPathology:\n- Other: Supported by \"rats Syngap+/Δ−GAP (HET) rats\" indicating a genetic disease model not present as a specific allowed label.\n- Healthy: Possible because WT animals are included, but the dataset explicitly includes a mutant model group, making a purely Healthy label misleading.\nFinal: Other. Alignment: aligns with few-shot convention of labeling non-listed conditions as Other.\n\nModality:\n- Resting State: Supported by absence of any stimulus/task description and the framing as long continuous recordings (\"6-hour long EEG recordings\").\n- Sleep: Plausible because recordings are tied to zeitgeber time (\"ZT 3 to 9\") and long duration could encompass sleep/wake, plus accelerometers could support state scoring; however sleep is not explicitly stated.\nFinal: Resting State. Evidence gap vs runner-up keeps confidence moderate.\n\nType:\n- Resting-state: Supported by no described task/stimuli and continuous recording context (\"6-hour long EEG recordings\").\n- Sleep: Plausible given circadian timing and typical use of long EEG+accelerometry for sleep/wake analysis, but not explicitly stated.\nFinal: Resting-state."}},"computed_title":"Tethered EEG Recordings in Syngap1 rats","nchans_counts":[{"val":33,"count":40}],"sfreq_counts":[{"val":1000.0,"count":40}],"stats_computed_at":"2026-04-22T23:16:00.311459+00:00","total_duration_s":864000.0,"author_year":"Pritchard2025","canonical_name":null}}