{"success":true,"database":"eegdash","data":{"_id":"69d3b323897a7725c66ff158","dataset_id":"ds006253","associated_paper_doi":null,"authors":["Dorian Goueytes","Francois Stockart","Alexis Robin","Lucien Gyger","Martin Rouy","Dominique Hoffmann","Lorella Minotti","Philippe Kahane","Michael Pereira","Nathan Faivre"],"bids_version":null,"contact_info":null,"contributing_labs":null,"data_processed":null,"dataset_doi":"doi:10.18112/openneuro.ds006253.v1.0.3","datatypes":["anat","beh","eeg","ieeg"],"demographics":{"subjects_count":23,"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/ds006253/versions/1.0.3","osf_url":null,"github_url":null,"paper_url":null},"funding":["ERC Metaction 803122","ERC LEAP 101077874","ERC VOLTA 101125379","ERC Metaction, ERC LEAP, ERC, Volta: 803122, 101077874, 101125379"],"ingestion_fingerprint":"d80c2ad3f7f3761887578596f75d54af33227e75b76b5095f8cf4328ed962680","license":"CC0","n_contributing_labs":null,"name":"MetaRDK","readme":"## Evidence accumulation in the pre-supplementary motor area and insula drives confidence and changes of mind\n\nGoueytes, D., Gigyer, L., Rouy, M., Hoffmann, D., Minotti, L., Kahane, P., Pereira, M., and Faivre, N. Evidence accumulation in the pre-supplementary motor area and insula drives confidence and changes of mind.\n\n## Overview\n\n### Overview of the task\n\nMetaRDK is a project aiming to understand the neural correlates of decision making and decision making-related metacognition. Epileptic patient with pharmacology intractable epilepsy performed a perceptual decision making task associated with a confidence judgement task.\nThe patients had to decide within a window of 6s if a a cloud of dot displayed at the center of the screen was moving right or left, and provide their answer by moving a computer mouse and clicking on the corresponding right/left target. The difficulty of the task was titrated for all patients at 70% correct using an adaptive staircase.\nAfter each answer patients were prompted to evaluate how confidence they felt in their decision on a scale from 0 to 100 (0 : Sure to be wrong, 50 : answered at random, 100 : Sure to be right\n\nAll scripts for the task, data processing and analysis are available here  : doi: 10.17605/OSF.IO/2KT97\n\n### Description of the contents of the dataset\n\nThis dataset contains the high-gamma content (average power modulation in five non-overlapping frequency bands between 70 and 150Hz) of the patient while they performed the task. The data are segmented, and each segment contain high-gamma activity from trial onset (clicking on the start button) to trial offset (following the confidence judgement response), sampled at 512Hz.\nAll information regarding the behavior of the patients (stimulus onset, response time, confidence judgements) are available in the derivative/beh directory as a separated .csv table for each patient.\n\nThe data provided were screened in order to remove trials and iEEG channels with high epilepsy-related artifact.\n\n## Methods\n\n### Subjects\n\nAll participants were patients with pharmacologically intractable epilepsy.\n\n\n### Apparatus\n\nRecordings were performed at the bedside of the patients using a micromed recording system. The implantation schema was decided by the medical team solely based on the medical status of the patients.\n\n### Initial setup\n\nThe patient sat reclined in their hospital bed, with a laptop and a mouse in front of them. The task was explained to them, and they were instructed to sample the stimuli as long as required within 6s to form their decision. The confidence judgement scale was explained, and they were explicitly instructed to use the whole confidence scale.\n\n### Task organization\n\n-   The patients first perform a short initial staircase session to titrate difficulty at 70% (the staircase procedure was maintained during the task\n-   The staircase was followed by the main task, corresponding to the data shared in this dataset.\n\n### Task details\n\n\nEach trial was initiated by clicking on a ‘start’ button at the bottom of the screen. This click corresponds to the trial onset. After a fixed delay, the stimulus was presented (stimonset). The decision was recorded as soon as the participants started to move the mouse (decision time), and the response was recorded upon clicking on the target button (response/R1). The confidence scale was then displayed after a fixed delay (VAS onset), and the click on the confidence scale was also recorded (R2). After a 500 ms delay, the trial ended (trial offset). For each trial, we also recorded outcome (correct), the presence of change of mind (ch_mind) and their timing (rt_chmind), as well as the coherence of the stimulus (stim_int) and the max velocity of the computer mouse (vmax). The identity and timing of all this elements is available in the derivates/beh directory\n\n\n\n","recording_modality":["ieeg"],"senior_author":null,"sessions":["01"],"size_bytes":671939,"source":"openneuro","storage":null,"study_design":null,"study_domain":"Decision-Making, Metacognition","tasks":[".gitattributes","CHANGES","MetaRDK","config"],"timestamps":{"digested_at":"2026-04-06T13:10:59.325199+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":201,"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"4084189e4a8d7d8c","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Epilepsy"],"modality":["Visual"],"type":["Decision-making"],"confidence":{"pathology":0.9,"modality":0.9,"type":0.8},"reasoning":{"few_shot_analysis":"Most similar few-shot by task paradigm is the schizophrenia-spectrum dataset using a moving-dots left/right discrimination with confidence report (few-shot example: “Meta-rdk: Preprocessed EEG data”), which is labeled (Visual, Perception). This guides the convention that a random-dot-motion discrimination task is often categorized as Perception. However, other few-shots show that when the stated research aim is choice/decision processes (e.g., reinforcement learning in Parkinson’s labeled Decision-making), the Type shifts to Decision-making. Here, the dataset’s own description explicitly frames the project as decision making and metacognition (confidence, changes-of-mind), which pushes the Type toward Decision-making despite the perceptual stimulus.","metadata_analysis":"Key quoted metadata facts:\n- Clinical population: “All participants were patients with pharmacologically intractable epilepsy.” and “Epileptic patient with pharmacology intractable epilepsy performed a perceptual decision making task...”\n- Stimulus/channel: “a cloud of dot displayed at the center of the screen was moving right or left” and “stimulus was presented (stimonset)” following a start click.\n- Research aim/construct: “MetaRDK is a project aiming to understand the neural correlates of decision making and decision making-related metacognition.” plus “confidence and changes of mind” and “provide their answer... [then] evaluate how confidence they felt in their decision on a scale from 0 to 100.”","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: “All participants were patients with pharmacologically intractable epilepsy.”\n- Few-shot pattern suggests: explicit named diagnosis maps directly (e.g., pediatric epilepsy dataset labeled Epilepsy).\n- Alignment: ALIGN.\n\nModality:\n- Metadata says: “a cloud of dot displayed at the center of the screen was moving right or left” (visual random-dot motion).\n- Few-shot pattern suggests: moving-dots discrimination is Visual (as in the schizophrenia moving-dots example labeled Visual).\n- Alignment: ALIGN.\n\nType:\n- Metadata says: “aiming to understand the neural correlates of decision making and decision making-related metacognition” and includes “confidence” and “changes of mind.”\n- Few-shot pattern suggests: random-dot motion discrimination + confidence can be labeled Perception (schizophrenia moving-dots example).\n- Alignment: PARTIAL CONFLICT. Task mechanics resemble Perception, but the dataset explicitly frames the scientific goal as decision making/metacognition (metadata fact about purpose). By the rules, explicit study aim about decision making/metacognition outweighs a purely perceptual interpretation, so Decision-making is selected.","decision_summary":"Top-2 candidates and final selections:\n\nPathology:\n1) Epilepsy (WIN) — supported by “All participants were patients with pharmacologically intractable epilepsy.” and “Epileptic patient with pharmacology intractable epilepsy...”.\n2) Other — possible only if condition were unspecified; not supported here.\nFinal: Epilepsy. (Alignment: yes)\n\nModality:\n1) Visual (WIN) — “cloud of dot displayed at the center of the screen” moving left/right.\n2) Motor — mouse movement/clicking occurs, but it is a response method, not the stimulus channel.\nFinal: Visual. (Alignment: yes)\n\nType:\n1) Decision-making (WIN) — explicit aim: “neural correlates of decision making and decision making-related metacognition,” plus confidence judgments and “changes of mind.”\n2) Perception — plausible because the core task is a perceptual random-dot-motion left/right discrimination.\nFinal: Decision-making, because the metadata explicitly states decision-making/metacognition as the primary research purpose (overriding the perception-like task mechanics suggested by the closest few-shot).\n\nConfidence justification:\n- Pathology 0.9: multiple explicit epilepsy quotes (2+) and clear recruitment statement.\n- Modality 0.9: clear visual stimulus description (2+ supporting phrases) and strong match to similar few-shot.\n- Type 0.8: multiple explicit purpose statements about decision making/metacognition and confidence, though Perception remains a reasonable runner-up due to the stimulus discrimination nature."}},"canonical_name":["MetaRDK"],"name_confidence":0.6,"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":"Goueytes2024","size_human":"656.2 KB","nchans_counts":[{"val":122,"count":13},{"val":185,"count":2},{"val":120,"count":1},{"val":143,"count":1},{"val":156,"count":1},{"val":186,"count":1},{"val":201,"count":1},{"val":132,"count":1}]}}