{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3307","dataset_id":"ds004012","associated_paper_doi":"10.1007/978-981-287-778-9_15","authors":["Nur Syairah Ab Rani","Nurfaizatul Aisyah Ab Aziz","Mohammed Farouq Reza","Muzaimi Mustapha"],"bids_version":"1.6.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds004012.v1.0.0","datatypes":["meg"],"demographics":{"subjects_count":30,"ages":[28,29,34,23,26,26,24,22,31,25,24,22,24,24,28,31,22,27,28,58,24,22,27,25,24,23,22,24,24,22],"age_min":22,"age_max":58,"age_mean":26.433333333333334,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds004012","osf_url":null,"github_url":null,"paper_url":null},"funding":["The study has been funded by the USM Research Grant for Fundamental Neuroscience–Neurobehaviour (BrainReward and Anti-Reward) (1002/CNEURO/910114) and USM Research University Grant (1001.PPSP.812189)"],"ingestion_fingerprint":"d78ed67d9b4f2c991aafefacb3a162a9857dbfe4156f8c72340c7440ce2e6284","license":"CC0","n_contributing_labs":null,"name":"BRAR_NQ","readme":"References\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\nNiso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A., Henson, R. N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J., Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data, 5, 180110. https://doi.org/10.1038/sdata.2018.110","recording_modality":["meg"],"senior_author":null,"sessions":[],"size_bytes":84108735827,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["rest01","rest02","stim01","stim02","stim03","stim04","stim05","stim06","stim07","stim08"],"timestamps":{"digested_at":"2026-05-31T16:13:36.203824+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":294,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004012","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv","task-auditorystimuli_events.json"]},"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Healthy"],"modality":["Auditory"],"type":["Perception"],"confidence":{"pathology":0.7,"modality":0.9,"type":0.8},"reasoning":{"few_shot_analysis":"Examining the few-shot examples, we have datasets with auditory stimuli like 'Subcortical responses to music and speech', labeled as 'Auditory'. This dataset involves listening to auditory stimuli, which aligns with the auditory stimulus task in the 'BRAR_NQ' dataset. Therefore, auditory modality classification is appropriate.","metadata_analysis":"The dataset title 'BRAR_NQ' does not clearly indicate pathology. Key metadata mentions 'Neurotechnological Advances in Exploring Melodic Recitation of the Noble Quran', suggesting an auditory paradigm. There are no explicit mentions of clinical pathology in the dataset metadata nor a special clinical group recruited.","paper_abstract_analysis":"No useful paper information. The references section highlights a neurotechnological exploration of the 'Melodic Recitation of the Noble Quran', which supports the auditory and potentially perception-focused nature, but no specific pathology is mentioned.","evidence_alignment_check":"1. Pathology: Metadata does not indicate pathology, suggesting a healthy population based solely on the absence of disorder focus aligned with 'Healthy' from few-shot. 2. Modality: Metadata suggests 'auditorystimuli', aligning with few-shot auditory classifications. 3. Type: The reference to 'Neurotechnological Advances in Exploring Melodic Recitation' suggests a study of perception, similar to studies listed as 'Perception' type.","decision_summary":"Pathology top candidates are 'Healthy' due to the lack of disorder focus. Modality is 'Auditory' due to the explicit 'auditorystimuli' information. Type is 'Perception', given the focus is on recitation effects. Labels align with metadata; 'Healthy' is inferred based on exclusion of specific pathology, 'Auditory' supported by task and event type, 'Perception' is chosen for the cognitive aspect of the stimulus. Confidence scores: Pathology 0.7, Modality 0.9, Type 0.8."}},"nemar_citation_count":1,"computed_title":"BRAR_NQ","nchans_counts":[{"val":383,"count":294}],"sfreq_counts":[{"val":1000.0,"count":294}],"stats_computed_at":"2026-05-31T19:34:32.598140+00:00","total_duration_s":54058.706,"canonical_name":null,"name_confidence":0.55,"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":"Rani2022","acknowledgements":"This work was supported by the Universiti Sains Malaysia (USM).","how_to_acknowledge":"Cite this data, the study in the references section and consider including the following message: 'This data was obtained from the OpenNeuro database. Its accession number is '","references_and_links":["Mustapha, M., Rani, N. S. A., Reza, M. F., Wan Daud, W. N., & Ghani, M. A. A. (2016). Neurotechnological Advances in Exploring Melodic Recitation of the Noble Quran: Uncovering the Neural Circuitry in the Human Brain. 229-235. doi:10.1007/978-981-287-778-9_15. (Springer) ","http://usmrewardantirewardteam.com/neuroquran-research-group"],"bad_channels_info":null,"associated_paper_meta":{"channel":"text/references_and_links","confidence":"high","author_overlap":3,"is_oa":false,"oa_status":"closed","source":"paper_resolver"}}}