{"success":true,"database":"eegdash","data":{"_id":"6953f4239276ef1ee07a32c4","dataset_id":"ds003374","associated_paper_doi":null,"authors":["Tommaso Fedele","Ece Boran","Valeri Chirkov","Peter Hilfiker","Thomas Grunwald","Lennart Stieglitz","Hennric Jokeit","Johannes Sarnthein"],"bids_version":"1.4.0","contact_info":["Ece Boran","Tommaso Fedele"],"contributing_labs":null,"data_processed":false,"dataset_doi":"10.18112/openneuro.ds003374.v1.1.1","datatypes":["ieeg"],"demographics":{"subjects_count":9,"ages":[31,48,19,22,34,23,39,27,22],"age_min":19,"age_max":48,"age_mean":29.444444444444443,"species":null,"sex_distribution":{"m":7,"f":2},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds003374","osf_url":null,"github_url":null,"paper_url":null},"funding":["Swiss National Science Foundation, SNSF 320030_156029","Mach-Gaensslen Stiftung","Stiftung für wissenschaftliche Forschung an der Universität Zürich","Forschungskredit der Universität Zürich","Russian Federation for Basic Research, RFBR 20-015-00176 A"],"ingestion_fingerprint":"698ff95a0d7c59b957b12161fa11346b5bf275d7c0a50f1b22079c1e196289eb","license":"CC0","n_contributing_labs":null,"name":"Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation","readme":"# Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation\n## Summary\nWe present an electrophysiological dataset collected from the amygdalae of nine subjects attending a visual dynamic stimulation of emotional aversive content. The subjects were patients affected by epilepsy who underwent preoperative invasive monitoring in the mesial temporal lobe. Subjects were presented with dynamic visual sequences of fearful faces (aversive condition), interleaved with sequences of neutral landscapes (neutral condition).\nWe provide the recordings of intracranial EEG (iEEG) and metadata related to the task, subjects, sessions and electrodes in the BIDS standard.\nWe also provide a more extended version of the dataset that includes neuronal spike times and waveforms in the NIX standard under the folder \"bidsignore/data_NIX\". This extended dataset is also available in G-Node at https://gin.g-node.org/USZ_NCH/Human_Amygdala_MUA_sEEG_FearVideo/.\nThis dataset allows the investigation of amygdalar response to dynamic aversive stimuli at multiple spatial scales, from the macroscopic EEG to the neuronal firing in the human brain.\n## Repository structure\n### Main directory\nContains metadata in the BIDS standard.\n### Directories sub-**\nContains folders for each subject, named sub-<subject number>.\n### Directory bidsignore\nContains data in the NIX standard, and metadata files. Subject_Characteristics.pdf describes subjects and NIX_File_Structure.pdf describes the structure of the NIX files.\n#### Directory code_MATLAB\nContains MATLAB code for loading the data and generating the publication figures. Main_Load_NIX_Data.m contains code snippets for reading NIX data and task related information. Main_Plot_Figures.m uses the functions Figure_2.m and Figure_3.m to generate figures.\nRequired dependencies to run the script Main_Load_NIX_Data.m:\n*  [Nix-mx v1.4.1](https://github.com/G-Node/nix-mx/)\nRequired dependencies to run the script Main_Plot_Figures.m:\n*  [Nix-mx v1.4.1](https://github.com/G-Node/nix-mx/)\n*  [Gramm](https://github.com/piermorel/gramm/)\n*  [FieldTrip](http://www.fieldtriptoolbox.org/download/)\n#### Directory data_NIX\nContains nix files for each session of the task. Each file is named with the format:\nData\\_Subject\\_\\<subject number>\\_Session\\_\\<session number>.h5\n## Support\nFor questions on the dataset or the task, contact Johannes Sarnthein at [johannes.sarnthein@usz.ch](johannes.sarnthein@usz.ch).","recording_modality":["ieeg"],"senior_author":"Johannes Sarnthein","sessions":["01"],"size_bytes":175461388,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["jokeit"],"timestamps":{"digested_at":"2026-04-22T12:25:31.524980+00:00","dataset_created_at":"2020-11-11T18:36:10.735Z","dataset_modified_at":"2020-11-26T12:36:45.000Z"},"total_files":18,"storage":{"backend":"s3","base":"s3://openneuro.org/ds003374","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"0b8fcebc09820641","model":"openai/gpt-5.2","tagged_at":"2026-01-20T10:14:46.047966+00:00"},"tags":{"pathology":["Epilepsy"],"modality":["Visual"],"type":["Affect"],"confidence":{"pathology":0.8,"modality":0.85,"type":0.8},"reasoning":{"few_shot_analysis":"Few-shot example \"Dataset of EEG recordings of pediatric patients with epilepsy...\" is the closest match for Pathology labeling convention: when metadata explicitly recruits \"patients with epilepsy\", Pathology is labeled \"Epilepsy\" (not Healthy/Other). For Modality, the schizophrenia visual discrimination example demonstrates that tasks with on-screen stimuli map to Modality=\"Visual\". For Type, the \"EEG: Three armed bandit gambling task\" example shows that when the primary construct is affect/reward/emotion-related processing (not basic sensory discrimination), Type can be labeled \"Affect\"; the current dataset similarly focuses on aversive/fearful emotional content.","metadata_analysis":"Key explicit facts in the README:\n1) Population/clinical recruitment: \"The subjects were patients affected by epilepsy who underwent preoperative invasive monitoring in the mesial temporal lobe.\" \n2) Stimulus modality/content: \"visual dynamic stimulation of emotional aversive content\" and \"Subjects were presented with dynamic visual sequences of fearful faces (aversive condition), interleaved with sequences of neutral landscapes (neutral condition).\" \n3) Study aim: \"investigation of amygdalar response to dynamic aversive stimuli\" (emotion/aversive processing focus).","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: \"patients affected by epilepsy\" (explicit recruitment diagnosis).\n- Few-shot pattern suggests: epilepsy-recruited datasets use Pathology=\"Epilepsy\" (see pediatric epilepsy example).\n- Alignment: ALIGN.\n\nModality:\n- Metadata says: \"visual dynamic stimulation\" and \"dynamic visual sequences of fearful faces\" / \"neutral landscapes\".\n- Few-shot pattern suggests: visual stimulus tasks use Modality=\"Visual\" (e.g., schizophrenia visual discrimination example).\n- Alignment: ALIGN.\n\nType:\n- Metadata says: \"emotional aversive content\" with \"fearful faces (aversive condition)\" and goal to study \"amygdalar response to dynamic aversive stimuli\".\n- Few-shot pattern suggests: affective/emotion/reward-focused paradigms map to Type=\"Affect\" (e.g., three-armed bandit gambling task labeled Affect).\n- Alignment: ALIGN (primary construct is emotional/aversive processing rather than generic perception).","decision_summary":"Top-2 candidates (with head-to-head comparisons):\n\nPathology:\n1) Epilepsy (SELECTED) — Explicit recruitment: \"patients affected by epilepsy\"; invasive monitoring context supports clinical epilepsy cohort.\n2) Healthy (REJECTED) — Contradicted by explicit epilepsy patient recruitment.\nConfidence evidence: 2 explicit metadata phrases about epilepsy/preoperative monitoring → 0.8.\n\nModality:\n1) Visual (SELECTED) — \"visual dynamic stimulation\"; \"dynamic visual sequences of fearful faces\"; \"neutral landscapes\".\n2) Multisensory (REJECTED) — No auditory/tactile stimuli described.\nConfidence evidence: 2+ explicit visual-stimulus quotes → 0.85.\n\nType:\n1) Affect (SELECTED) — Emotional/aversive manipulation is central: \"emotional aversive content\", \"fearful faces (aversive condition)\", \"amygdalar response to dynamic aversive stimuli\".\n2) Perception (REJECTED) — Although visual stimuli are used, the key contrast is aversive vs neutral emotional content (affective neuroscience focus, not sensory discrimination).\nConfidence evidence: 2+ explicit emotion/aversive quotes + few-shot convention for Affect → 0.8."}},"nemar_citation_count":4,"computed_title":"Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation","nchans_counts":[{"val":4,"count":10},{"val":2,"count":8}],"sfreq_counts":[{"val":2000.0,"count":18}],"stats_computed_at":"2026-04-22T23:16:00.222010+00:00","total_duration_s":9396.0,"author_year":"Fedele2020","canonical_name":null}}