{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3442","dataset_id":"ds006317","associated_paper_doi":"10.1038/s41597-025-05957-y","authors":["Zihan Zhang","Yu Bao","Tianyi Jiang","Xiao Ding","Xia Liang","Juntong Du","Yi Zhao","Kai Xiong","Bing Qin","Ting Liu"],"bids_version":"1.10.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds006317.v1.1.1","datatypes":["eeg"],"demographics":{"subjects_count":2,"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://www.nature.com/articles/s41597-025-05957-y.pdf"},"funding":[],"ingestion_fingerprint":"1b8eb9c1df4bea82b9d403dd05e75431ddc5be3826e738fad1a6047d99f36af3","license":"CC0","n_contributing_labs":null,"name":"Chisco-2.0","readme":"This dataset is a imagined speech dataset with two participants, identified as sub-01 to sub-02. The dataset includes raw data in edf formats. Information also can be found in https://github.com/baoyudu/COFETT .\nReferences\n----------\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896).https://doi.org/10.21105/joss.01896\nPernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103.https://doi.org/10.1038/s41597-019-0104-8","recording_modality":["eeg"],"senior_author":null,"sessions":["01","02","03","04"],"size_bytes":56822685732,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["para1","para2"],"timestamps":{"digested_at":"2026-05-31T16:24:01.708045+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":64,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006317","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Healthy"],"modality":["Other"],"type":["Perception"],"confidence":{"pathology":0.8,"modality":0.7,"type":0.8},"reasoning":{"few_shot_analysis":"The few-shot examples provide diverse contexts for different pathologies, modalities, and types, helping to establish conventions. For instance, motor imagery tasks in healthy participants often lead to 'Healthy', 'Motor', and 'Motor' labels. In our dataset labeled 'EEG Motor Movement/Imagery Dataset', the fact that it's a motor imagery task guided the choice of 'Motor' for the Type label. The idea of imagined tasks aligns with the concept of perception if they're sensory or internal processes without explicit external feedback, implying a 'Perception' Type label might fit if an imagined speech task were similar to imagined sensory or mental tasks.","metadata_analysis":"The dataset's title is 'Chisco-2.0', which does not directly hint at specifics about the pathology, modality, or research type. The readme mentions that this is a 'imagined speech dataset' which suggests the task involves imagining verbal communication. The mention of 'imagined speech' implies an internal, cognitive process perhaps akin to perception rather than explicit response tasks.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: There is no mention of any clinical population or related study; thus from a typical 'Healthy' standpoint, 'Healthy' can be inferred. The absence of pathology supports this inference. Both metadata and few-shot patterns suggest 'Healthy'.\nModality: The dataset seems to center on 'imagined speech', linking to either auditory processing or other, but there's no external auditory stimulus, which skews toward 'Other'. There's alignment with the lack of explicit sensory stimuli in metadata.\nType: The task centered around 'imagined speech' suggests a cognitive, internal perceptual process, aligning more closely with 'Perception'. This aligns consistently with few-shot patterns where similar tasks involving imagined processes focus on internal cognitive processing.","decision_summary":"Pathology: Top candidate is 'Healthy' due to lack of clinical condition discussed in any metadata. Second one would have been 'Unknown' if not deduced. Modality: Most aligned modality is 'Other', due to indirect implication of auditory processing, and the lack of clear sensory process. Type: 'Perception' aligns with the task involving imagined speech which is a mental perceptual process. Evidence supports high confidence in these interpretations due to alignment with few-shot guidance, especially for 'Other' and 'Perception'."}},"computed_title":"Chisco-2.0","nchans_counts":[{"val":127,"count":64}],"sfreq_counts":[{"val":1000.0,"count":64}],"stats_computed_at":"2026-05-31T19:34:32.602419+00:00","total_duration_s":223665.0,"canonical_name":null,"name_confidence":0.72,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"canonical","author_year":"Zhang2025_Chisco_2_0","bad_channels_info":null,"associated_paper_meta":{"channel":"search","confidence":"medium","author_overlap":1,"is_oa":true,"oa_status":"gold","source":"paper_resolver"}}}