{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a336d","dataset_id":"ds004598","associated_paper_doi":null,"authors":["Moradi Faraz","van den Berg Monica","Mirjebreili Morteza","Kosten Lauren","Verhoye Marleen","Amiri Mahmood","Keliris A. Georgios"],"bids_version":"1.2.0","contact_info":["Monica van den Berg"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds004598.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":9,"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/ds004598","osf_url":null,"github_url":null,"paper_url":null},"funding":["N/A"],"ingestion_fingerprint":"1d149aad7ae602a846bc82d0cf6d4dff95293291e832c6b98f1932db4b6ee2e0","license":"CC0","n_contributing_labs":null,"name":"LFP during linear track in 6-month old TgF344-AD rats","readme":null,"recording_modality":["eeg"],"senior_author":"Keliris A. Georgios","sessions":["1","2","3"],"size_bytes":10673023391,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["LinearTrack"],"timestamps":{"digested_at":"2026-05-10T16:37:10.610092+00:00","dataset_created_at":"2023-06-12T09:30:19.437Z","dataset_modified_at":"2023-07-10T19:04:43.000Z"},"total_files":20,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004598","raw_key":"dataset_description.json","dep_keys":["CHANGES","participants.tsv"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"760c9eaa1885d6f5","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Dementia"],"modality":["Motor"],"type":["Memory"],"confidence":{"pathology":0.8,"modality":0.6,"type":0.6},"reasoning":{"few_shot_analysis":"Most similar few-shot guidance is the dementia cohort example (\"A dataset of EEG recordings from: Alzheimer's disease...\") which maps an explicit Alzheimer’s disease population to the Pathology label \"Dementia\". Although the current dataset is an animal model (TgF344-AD rats) rather than human patients, the convention suggests that AD-focused cohorts are best captured by \"Dementia\" when Alzheimer’s is the named condition.\n\nFor task/type conventions, the motor movement/imagery example (\"EEG Motor Movement/Imagery Dataset\") demonstrates that when the experimental paradigm is fundamentally about movement performance (subjects performing/imagining actions), labeling Type as \"Motor\" is appropriate. However, a linear track paradigm is commonly used for spatial navigation/hippocampal encoding (memory) rather than pure motor execution, so the few-shot primarily informs how to treat movement-centric paradigms, not a definitive mapping here.","metadata_analysis":"Key metadata facts available are sparse but include:\n1) Title explicitly names an Alzheimer’s disease model and age: \"LFP during linear track in 6-month old TgF344-AD rats\".\n2) Task name indicates a navigation/running paradigm: \"tasks\": [\"LinearTrack\"].\n3) Minimal participant info: \"Subjects: 9\".\n\nNo stimulus description (visual/auditory/tactile), no behavioral/cognitive aim statement, and no README/task_details were provided to further disambiguate modality/type.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: \"TgF344-AD rats\" in \"LFP during linear track in 6-month old TgF344-AD rats\".\n- Few-shot suggests: Alzheimer’s disease cohorts map to \"Dementia\" (see AD/FTD example labeled Dementia).\n- Alignment: ALIGN (both point to Alzheimer’s/degenerative dementia focus). Only caveat is animal model vs clinical recruitment, but explicit AD-model wording supports using Dementia over Healthy/Other.\n\nModality:\n- Metadata says: only \"LinearTrack\" and no explicit sensory stimulus channel.\n- Few-shot suggests: modality refers to stimulus/input channel; movement-centric paradigms often end up as \"Motor\" when no dominant external sensory stimulus is described.\n- Alignment: PARTIAL/UNCLEAR (metadata under-specifies stimuli). Motor is chosen by contextual inference from the linear track running/navigation task.\n\nType:\n- Metadata says: \"LFP during linear track\" with an AD model (\"TgF344-AD\"); no explicit cognitive construct is stated.\n- Few-shot suggests: (a) movement execution paradigms can be \"Motor\"; (b) Alzheimer’s datasets can be clinical-focused (often \"Clinical/Intervention\" when the main purpose is clinical characterization). \n- Alignment: UNCLEAR. The linear track is more commonly used to study spatial navigation/hippocampal coding (Memory) than to study motor control per se; however, the dataset doesn’t explicitly say “memory”. We therefore choose Memory with moderate confidence over Motor/Clinical.","decision_summary":"Top-2 candidates per category:\n\nPathology:\n1) Dementia (selected) — Evidence: title explicitly indicates an Alzheimer’s model: \"TgF344-AD rats\" in \"LFP during linear track in 6-month old TgF344-AD rats\". Few-shot convention maps Alzheimer’s to \"Dementia\".\n2) Other — Rationale: could be argued since it is an animal model rather than a recruited human clinical population.\nDecision: Dementia, because the dataset is explicitly AD-model-focused and allowed labels include Dementia.\n\nModality:\n1) Motor (selected) — Evidence: task is \"LinearTrack\", implying locomotion/navigation without any stated external sensory stimulus channel.\n2) Other — Rationale: insufficient metadata about presented stimuli; could be environment-driven but unspecified.\nDecision: Motor, by contextual inference from a linear track running task.\n\nType:\n1) Memory (selected) — Evidence: \"LinearTrack\" paradigms are typically used for spatial navigation/hippocampal encoding and AD-model work often targets memory impairment; metadata provides only \"LinearTrack\" and AD model wording.\n2) Motor — Rationale: the task involves running; could be analyzed as movement-related LFP.\nDecision: Memory, because the more plausible research construct for linear track LFP (especially in an AD model) is spatial/navigation memory rather than motor control, though this is not explicitly stated.\n\nConfidence justifications (quotes/features):\n- Pathology confidence leverages 1 explicit quote about AD model (\"TgF344-AD rats\") plus strong few-shot convention (Alzheimer’s -> Dementia).\n- Modality confidence is limited because there are no stimulus-channel quotes; only \"LinearTrack\" is provided.\n- Type confidence is limited because the cognitive goal is not stated; inferred from \"LinearTrack\" plus AD-model context."}},"nemar_citation_count":0,"computed_title":"LFP during linear track in 6-month old TgF344-AD rats","nchans_counts":[{"val":16,"count":20}],"sfreq_counts":[{"val":10000.0,"count":20}],"stats_computed_at":"2026-05-10T19:09:03.497580+00:00","total_duration_s":null,"canonical_name":null,"name_confidence":0.42,"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":"Faraz2023","bad_channels_info":null}}