{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3434","dataset_id":"ds006040","associated_paper_doi":null,"authors":["Younghwa Cha","Yeji Lee","Eunhee Ji","SoHyun Han","Sunhyun Min","Hyoungkyu Kim","Minseo Cho","Hae Seong Lee","Youngjai Park","Joon-Young Moon"],"bids_version":"1.4.0","contact_info":["Younghwa Cha"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds006040.v1.0.2","datatypes":["eeg"],"demographics":{"subjects_count":28,"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/ds006040","osf_url":null,"github_url":null,"paper_url":null},"funding":["The Institute for Basic Science of Korea (IBS, IBS-R015-Y3)","The National Research Foundation of Korea (NRF, RS-2023-00272652)"],"ingestion_fingerprint":"980a840c2e4659a9677d06af91a2b3b7ddcba5a7a92dbf341b1028af60c35b77","license":"CC0","n_contributing_labs":null,"name":"Sustained Attention Task (gradCPT) Dataset using simultaneous EEG-fMRI and DTI","readme":"This dataset includes simultaneous recordings of electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and diffusion-weighted imaging (DWI) from 28 participants aged 19 to 42 years. The fMRI and DWI data were acquired using a 3T MRI scanner (Siemens Magnetom Prisma), and the EEG was recorded using 64 channels (Brain Product BrainCap MR with Multirodes).\nThe following tasks were performed: resting state (eyes open and closed), checkerboard (15Hz), gradCPT, and imagery task. Raw files can be found in the subfolders, while preprocessed files are available in the derivatives folder. For more detailed information about the file structure, please refer to the readme files.","recording_modality":["eeg"],"senior_author":"Joon-Young Moon","sessions":[],"size_bytes":185217929633,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["CBOFF","CBON","ECOFF","ECON","EOOFF","EOON","GRADOFF","GRADON","IMAGON","IMGRADON"],"timestamps":{"digested_at":"2026-04-22T12:29:04.582234+00:00","dataset_created_at":"2025-03-24T00:18:30.864Z","dataset_modified_at":"2026-03-16T02:32:01.000Z"},"total_files":392,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006040","raw_key":"dataset_description.json","dep_keys":["BFI_short_form.tsv","CHANGES","Demographic_Information.tsv","GradCPT_behavior_read_me.json","README","README_dataset.txt","datacite.yml","demographic_information_read_me.json"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"83b28a6b106ddda8","model":"openai/gpt-5.2","tagged_at":"2026-01-20T18:49:04.705213+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Other"],"confidence":{"pathology":0.7,"modality":0.7,"type":0.6},"reasoning":{"few_shot_analysis":"Few-shot conventions used: (1) When participants are described without any diagnosis and no clinical recruitment is mentioned, label Pathology as Healthy (e.g., multiple examples with \"Healthy\" cohorts such as \"A Resting-state EEG Dataset for Sleep Deprivation\" and \"EEG Motor Movement/Imagery Dataset\"). (2) Visual stimulation paradigms (e.g., screen-presented tasks) map Modality to Visual (e.g., \"EEG Motor Movement/Imagery Dataset\" includes on-screen targets and is labeled Visual modality; the schizophrenia dot-motion discrimination example is also Visual). For Type, few-shot shows that a specific single dominant paradigm yields a specific construct label (Resting-state, Motor, etc.); here the dataset bundles multiple paradigms (rest, checkerboard/SSVEP-like, gradCPT, imagery), so following the convention, a broad/non-single-construct label ('Other') is most appropriate rather than forcing one construct.","metadata_analysis":"Key metadata facts from the provided README include: (1) population: \"from 28 participants aged 19 to 42 years\" (no diagnosis/clinical recruitment stated). (2) tasks: \"The following tasks were performed: resting state (eyes open and closed), checkerboard (15Hz), gradCPT, and imagery task.\" (3) stimulus implication: \"checkerboard (15Hz)\" strongly implies visual flicker stimulation; \"gradCPT\" is typically a visual sustained-attention task.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata SAYS \"28 participants aged 19 to 42 years\" with no disorder mentioned; few-shot pattern SUGGESTS labeling such non-clinical cohorts as Healthy; ALIGN.\nModality: Metadata SAYS \"checkerboard (15Hz), gradCPT\" (both typically visually presented); few-shot pattern SUGGESTS labeling screen-based stimulation tasks as Visual; ALIGN (though imagery/rest add some heterogeneity).\nType: Metadata SAYS multiple paradigms: \"resting state... checkerboard... gradCPT... imagery task\"; few-shot pattern SUGGESTS choosing a specific construct only when a single primary paradigm dominates (e.g., Resting-state-only datasets labeled Resting-state; motor-imagery datasets labeled Motor). Here this does not clearly apply; partial CONFLICT/ambiguity resolved by selecting the broader 'Other' type to reflect multi-paradigm purpose.","decision_summary":"Top-2 candidates:\n- Pathology: (1) Healthy vs (2) Unknown. Healthy supported by: \"28 participants aged 19 to 42 years\" with no diagnosis/clinical group described. Choose Healthy. Alignment: aligns with few-shot convention. Confidence: moderate because only one explicit population line and no explicit 'healthy controls' phrase.\n- Modality: (1) Visual vs (2) Resting State. Visual supported by: \"checkerboard (15Hz)\" and inclusion of \"gradCPT\" (typically visual). Resting State supported by: \"resting state (eyes open and closed)\". Head-to-head: dataset includes explicit visual stimulation tasks beyond rest, so Visual is stronger as dominant stimulus channel. Confidence: moderate (imagery is ambiguous; rest is also included).\n- Type: (1) Other vs (2) Attention. Attention supported by: \"gradCPT\" (sustained attention). Other supported by: the bundled multi-paradigm nature: \"resting state... checkerboard (15Hz)... gradCPT... imagery task\" and no single stated cognitive aim. Head-to-head: without a stated primary construct and with multiple disparate paradigms, 'Other' better matches cataloging convention. Confidence: lower-moderate due to ambiguity about primary purpose."}},"computed_title":"Sustained Attention Task (gradCPT) Dataset using simultaneous EEG-fMRI and DTI","nchans_counts":[{"val":64,"count":391}],"sfreq_counts":[{"val":5000.0,"count":391}],"stats_computed_at":"2026-04-22T23:16:00.311277+00:00","total_duration_s":null,"author_year":"Cha2025","canonical_name":null}}