{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3416","dataset_id":"ds005779","associated_paper_doi":null,"authors":["Uttara Khatri","Sara Hussain"],"bids_version":"1.2","contact_info":["Sara J Hussain"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005779.v1.0.1","datatypes":["eeg"],"demographics":{"subjects_count":19,"ages":[25,24,24,18,19,18,20,20,22,19,19,20,19,19,20,18,26,27,18],"age_min":18,"age_max":27,"age_mean":20.789473684210527,"species":null,"sex_distribution":{"m":4,"f":15},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds005779","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"78af3f56e42dac2915afdb3102cfb2f288724932538ce77b4af6e74e17683976","license":"CC0","n_contributing_labs":null,"name":"Real-time personalized brain state-dependent TMS in healthy adults ","readme":"This dataset contains raw data for the following publication:\nKhatri, U.U., Pulliam, K., Manesiya, M., Cortez, M.V., Millán, J.D.R. and Hussain, S.J., 2024. Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time. Brain Stimulation, in press.\nReal-time and offline analysis code can be found here: https://github.com/SMNPLab/Realtime_decoding_neurotypical.git\nThis work was funded by NINDS under award number R21NS133605.","recording_modality":["eeg"],"senior_author":"Sara Hussain","sessions":[],"size_bytes":95206991257,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["resting","testinghigh110RMT","testinghigh110RMTfile1","testinghigh110RMTfile2","testinghigh110RMTfile3","testinghigh120RMT","testinglow110RMT","testinglow120RMT","testingrandom110RMT","testingrandom120RMT","trainingblock1","trainingblock2","trainingblock3","trainingblock4","trainingblock5","trainingblock6"],"timestamps":{"digested_at":"2026-04-22T12:28:44.612110+00:00","dataset_created_at":"2025-01-02T16:12:35.546Z","dataset_modified_at":"2025-01-02T20:15:41.000Z"},"total_files":250,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005779","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"3c58f6c84759a943","model":"openai/gpt-5.2","tagged_at":"2026-01-20T18:37:57.841410+00:00"},"tags":{"pathology":["Healthy"],"modality":["Other"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.7,"modality":0.6,"type":0.6},"reasoning":{"few_shot_analysis":"Closest convention match is the few-shot example \"Intraoperative EEG dataset during medianus-tibialis stimulation...\", which involves externally induced neural activation rather than classic sensory stimuli; it is labeled with Modality=\"Other\". This guides treating brain-/nerve-stimulation style inputs as \"Other\" modality when the stimulus is not clearly visual/auditory/tactile/motor-task driven. For Type, the Parkinson's and Dementia examples show that when the study focus is clinical biomarkers/therapy/intervention, Type=\"Clinical/Intervention\" is used even if tasks exist; this guides selecting \"Clinical/Intervention\" for a real-time brain stimulation/decoding paper context.","metadata_analysis":"Key available facts are limited to the README. It states the linked publication title: \"Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time\". It also links code explicitly named \"Realtime_decoding_neurotypical\" (\"https://github.com/SMNPLab/Realtime_decoding_neurotypical.git\"), which suggests a neurotypical (i.e., healthy) cohort rather than a recruited patient group. No explicit sensory stimulus/task paradigm is described beyond the brain-stimulation/decoding framing implied by the publication venue (Brain Stimulation) and the phrase \"corticospinal tract activation\".","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says neurotypical via the repository name (\"Realtime_decoding_neurotypical\") and does not mention any diagnosis; few-shot pattern suggests labeling explicit clinical cohorts with their diagnosis and otherwise \"Healthy\". These align → choose Healthy.\n\nModality: Metadata does not describe visual/auditory/tactile stimuli; it emphasizes \"corticospinal tract activation\" and brain stimulation context. Few-shot convention (e.g., intraoperative stimulation dataset) suggests using Modality=\"Other\" when the input is stimulation/SEP-like rather than standard sensory channels. Partial alignment (metadata is vague but consistent with stimulation) → choose Other.\n\nType: Metadata frames the study around real-time prediction of corticospinal activation (\"predict ... activation in real-time\") in a Brain Stimulation context, which suggests an intervention/neuromodulation goal. Few-shot convention uses Type=\"Clinical/Intervention\" for intervention/biomarker-type studies (even with healthy controls). Alignment is moderate but not explicit (no abstract/task details) → choose Clinical/Intervention.","decision_summary":"Top-2 candidates per category:\n\nPathology:\n1) Healthy — supported by \"Realtime_decoding_neurotypical\" and no stated disorder.\n2) Unknown — possible because participants are not explicitly described.\nWinner: Healthy. Alignment: aligns with few-shot convention for non-clinical cohorts.\nConfidence basis: 1 explicit cue (\"neurotypical\") but no participant section.\n\nModality:\n1) Other — implied stimulation/activation focus (\"Brain Stimulation\" venue; \"corticospinal tract activation\") and few-shot convention for stimulation paradigms.\n2) Motor — plausible if activation relates to motor tasks, but not stated.\nWinner: Other. Alignment: weak-to-moderate; metadata lacks explicit stimulus description.\nConfidence basis: inference from limited text; no direct stimulus modality quote.\n\nType:\n1) Clinical/Intervention — real-time prediction of stimulation/activation outcome (\"predict ... activation in real-time\") suggests closed-loop/intervention purpose.\n2) Motor — plausible if primarily studying motor system activation rather than intervention.\nWinner: Clinical/Intervention. Alignment: moderate; consistent with stimulation framing but not explicitly described as therapy.\nConfidence basis: 1 strong contextual phrase plus publication context, no task details."}},"computed_title":"Real-time personalized brain state-dependent TMS in healthy adults","nchans_counts":[{"val":67,"count":235},{"val":64,"count":14},{"val":70,"count":1}],"sfreq_counts":[{"val":5000.0,"count":250}],"stats_computed_at":"2026-04-22T23:16:00.310889+00:00","source_url":"https://openneuro.org/datasets/ds005779","total_duration_s":71203.6402,"author_year":"Khatri2025","canonical_name":null}}