{"success":true,"database":"eegdash","data":{"_id":"6953f4239276ef1ee07a329e","dataset_id":"ds002181","associated_paper_doi":null,"authors":["Wanze Xie","Sarah Jensen","Mark Wade","Swapna Kumar","Alissa Westerlund","Shahria Kakon","Rashidul Haque","William A Petri","Charles A Nelson"],"bids_version":"1.2","contact_info":["Wanze Xie","Arnaud Delorme","Annalisa Salazar"],"contributing_labs":null,"data_processed":false,"dataset_doi":"mockDOI","datatypes":["eeg"],"demographics":{"subjects_count":226,"ages":[36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6],"age_min":6,"age_max":36,"age_mean":22.327433628318584,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds002181","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"8e30963766977666f59230b2bbe6b8bf95da34ee780146ba0c02a0c3e1aafd5c","license":"CC0","n_contributing_labs":null,"name":"CRYPTO and PROVIDE EEG Baseline Data","readme":"These are the EEG baseline data used in the study on the association between stunting and EEG brain functional connectivity in Bangladeshi children (https://doi.org/10.1101/447722).\nData with an ID <  2000 were collected for a cohort of  36-month-old toddlers, and those with an ID > 2000 were collected for a cohort of 6-month-old infants.  The children were watching screen savers for 2 minutes.","recording_modality":["eeg"],"senior_author":"Charles A Nelson","sessions":[],"size_bytes":158221569,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["Baseline"],"timestamps":{"digested_at":"2026-04-22T12:25:26.279854+00:00","dataset_created_at":"2019-09-15T18:43:27.368Z","dataset_modified_at":"2019-09-27T17:33:40.000Z"},"total_files":226,"storage":{"backend":"s3","base":"s3://openneuro.org/ds002181","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"635292c1a31f1ae8","model":"openai/gpt-5.2","tagged_at":"2026-01-20T10:09:54.097400+00:00"},"tags":{"pathology":["Development"],"modality":["Visual"],"type":["Resting-state"],"confidence":{"pathology":0.7,"modality":0.75,"type":0.7},"reasoning":{"few_shot_analysis":"Most similar labeling convention is the few-shot example “A Resting-state EEG Dataset for Sleep Deprivation,” which assigns Type=“Resting-state” when the recording is baseline/rest with no explicit cognitive task demands (even if eyes open/closed). For Modality, few-shot examples consistently label based on stimulus/input channel (e.g., visual discrimination task -> Modality=Visual), not on responses; applying that convention here, the presence of passive screen-saver viewing points to Visual input rather than pure Resting State modality.","metadata_analysis":"Key facts from the provided README: (1) population/recruitment focus: \"association between stunting and EEG brain functional connectivity in Bangladeshi children\"; (2) developmental ages: \"36-month-old toddlers\" and \"6-month-old infants\"; (3) paradigm context: \"EEG baseline data\" and \"The children were watching screen savers for 2 minutes.\" These indicate a pediatric cohort studied in relation to stunting, using a short baseline/passive-viewing recording.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata SAYS stunting is the key condition of interest (\"association between stunting and EEG...\") in children; few-shot patterns do not provide a stunting-specific mapping. ALIGN: yes (metadata provides the only concrete condition signal). Modality: Metadata SAYS participants \"were watching screen savers\" (visual input); few-shot convention SUGGESTS choosing modality by stimulus channel (e.g., visual tasks -> Visual) and using Resting State modality when there is no stimulus. PARTIAL CONFLICT resolved in favor of Visual because explicit visual stimulation is described. Type: Metadata SAYS \"EEG baseline data\" with passive viewing; few-shot convention SUGGESTS Type=Resting-state for baseline/rest recordings. ALIGN: yes.","decision_summary":"Pathology top-2: (1) Development — evidence: pediatric cohorts (\"36-month-old toddlers\", \"6-month-old infants\") and developmental risk factor (\"stunting\"); (2) Other — evidence: stunting is not a specific allowed disease label and could be treated as a non-listed condition. Head-to-head: Development slightly stronger because the dataset is explicitly infant/toddler and the study focus is early-life developmental status (stunting). Modality top-2: (1) Visual — evidence: \"watching screen savers\"; (2) Resting State — evidence: described as \"EEG baseline data\" (could be treated as resting). Head-to-head: Visual wins because an explicit visual stimulus is present. Type top-2: (1) Resting-state — evidence: \"EEG baseline data\" and passive viewing for 2 minutes; (2) Perception — evidence: visual input exists, but no discrimination/detection task described. Head-to-head: Resting-state wins because the recording is baseline/passive with no perceptual judgment described. Confidence is limited because only a short README is provided (no participants.tsv/tasks/events to corroborate)."}},"nemar_citation_count":1,"computed_title":"CRYPTO and PROVIDE EEG Baseline Data","nchans_counts":[{"val":125,"count":226}],"sfreq_counts":[{"val":500.0,"count":226}],"stats_computed_at":"2026-04-22T23:16:00.221541+00:00","total_duration_s":27633.006,"author_year":"Xie2019","canonical_name":null}}