{"dataset":{"id":"60745","dataset_id":"on005356","name":"MEG: Major Depression & Probabilistic Learning Task","description":"This dataset comprises magnetoencephalography (MEG) recordings from participants with major depressive disorder (MDD, n=52) and non-depressed controls (CTL, n=38) collected during a probabilistic selection reinforcement learning task. The study investigates the Reward Positivity ERP/MEG component and ventromedial frontal cortex activity associated with reward processing in depression. Diagnostic group assignment was determined via SCID interview.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005356","concept_doi":"10.82901/nemar.on005356","latest_version_doi":"10.82901/nemar.on005356.v1.0.0","created_at":"2026-06-26 21:01:48","updated_at":"2026-08-19 01:48:45","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"MEG: Major Depression & Probabilistic Learning Task\",\n  \"description\": \"This dataset comprises magnetoencephalography (MEG) recordings from participants with major depressive disorder (MDD, n=52) and non-depressed controls (CTL, n=38) collected during a probabilistic selection reinforcement learning task. The study investigates the Reward Positivity ERP/MEG component and ventromedial frontal cortex activity associated with reward processing in depression. Diagnostic group assignment was determined via SCID interview.\",\n  \"methods_description\": \"MEG data were recorded using a 306-sensor Elekta Neuromag System while participants performed an MEG-compatible probabilistic selection task designed to elicit the Reward Positivity during reinforcement learning.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"[Unspecified]\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Magnetoencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D015225\"\n    },\n    {\n      \"term\": \"Depressive Disorder, Major\"\n    },\n    {\n      \"term\": \"reinforcement learning\"\n    },\n    {\n      \"term\": \"Reward Positivity\"\n    },\n    {\n      \"term\": \"probabilistic selection task\"\n    },\n    {\n      \"term\": \"ventromedial prefrontal cortex\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005356\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005356.v1.5.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on005356\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"MEG Dataset\",\n  \"modalities\": [\n    \"meg\"\n  ],\n  \"sizes\": [\n    \"170.7 GB (224 files)\"\n  ],\n  \"formats\": [\n    \".dat\",\n    \".fif\",\n    \".gz\",\n    \".json\",\n    \".md\",\n    \".nii\",\n    \".py\",\n    \".sh\",\n    \".tsv\",\n    \".txt\",\n    \".xlsx\",\n    \".yml\"\n  ],\n  \"source_hash\": \"c774dc11ef0562605eb735a74504de802c8a04ecc9456e7c34e3aaeb19bc6c3d\"\n}","last_activity_at":"2026-06-26 21:01:48","source":"openneuro","source_id":"ds005356","subject_count":85,"modalities":"meg","age_min":0,"age_max":22,"file_size":174385070352,"total_files":744,"tasks":"pst","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"[Unspecified]","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005356-blue)](https://doi.org/10.82901/nemar.on005356)\n\nHowdy y'all.   Here's data from:\n\nPirrung, C.J.H., Singh G., Hogeveen, J., Quinn, D. & Cavanagh, J.F.  (2025) Hypoactivation of ventromedial frontal cortex in major depressive disorder: an MEG study of the Reward Positivity.   Biological Psychiatry: Cognitive Neuroscience and Neuroimaging\n\nAn MEG study (306-sensor Elekta Neuromag System) of the Reward Positivity during reinforcement learning.  Participants were all SCID interviewed to meet either control (CTL, non-depressed, n=38) or major depressive disorder (MDD, n=52) group criteria.   Task was an MEG-compatible probabilistic selection task.  We'll upload their T1s and resting state soon.   <jcavanagh@unm.edu>","bids_version":"1.7.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"pending","zarr_converted_at":"2026-07-07 23:16:17","zarr_store_count":30,"zarr_index_etag":"dbe424d79502b6360640edc9a64728f6","zarr_source_commit":"18ddfa1b57a397d2e6d2746f6a067fe9c014ca6a","archive_status":null,"archive_size":null,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":"dataset 162.4 GB exceeds 100.0 GB archive limit; use direct download","zarr_errors":null,"zarr_failure_count":null,"zarr_deterministic":null,"zarr_failed_at":null,"num_dataset_citations":2,"num_datapaper_citations":0,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":170676795849,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":null,"total_recording_duration":null,"recording_duration_min":null,"recording_duration_max":null,"recording_count":null,"recordings_unavailable":null,"recordings_measured":null,"channel_count_min":null,"channel_count_max":null,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 01:48:30\",\"metadata_updated_at\":\"2026-08-19 01:48:44\",\"archive_checked_at\":\"2026-06-26 21:12:59\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-26 21:13:43\",\"citations_updated_at\":\"2026-09-08 03:00:52\",\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 05:16:09\",\"data_checked_at\":\"2026-08-20 03:00:14\",\"availability_report_at\":\"2026-07-23 01:24:04\",\"recording_stats_at\":null,\"signal_defaults_at\":\"2026-09-02 12:28:42\"}","participants":85,"num_citations":2,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"162 GB","zarr_data_failures":null,"zarr_index_url":null,"attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}