{"dataset":{"id":"53334","dataset_id":"on003568","name":"Mood induction in MDD and healthy adolescents","description":"This dataset contains magnetoencephalography (MEG) and structural magnetic resonance imaging (MRI) data from adolescent participants with major depressive disorder and healthy controls during a monetary gambling mood induction task and resting state. The study investigates electrophysiological correlates of mood and reward dynamics in human adolescents through pre-registered analyses of task-based and resting-state neuroimaging data.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on003568","concept_doi":"10.82901/nemar.on003568","latest_version_doi":"10.82901/nemar.on003568.v1.0.0","created_at":"2026-06-22 05:01:21","updated_at":"2026-07-10 22:17:05","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Mood induction in MDD and healthy adolescents\",\n  \"description\": \"This dataset contains magnetoencephalography (MEG) and structural magnetic resonance imaging (MRI) data from adolescent participants with major depressive disorder and healthy controls during a monetary gambling mood induction task and resting state. The study investigates electrophysiological correlates of mood and reward dynamics in human adolescents through pre-registered analyses of task-based and resting-state neuroimaging data.\",\n  \"methods_description\": \"MEG data were acquired during a monetary gambling mood induction task (task-mmi3) and a 10-minute resting state scan (task-rest) in the same session. Task-mmi3 data have been preprocessed with marking of bad channels and segments (motion >5mm and/or noise artifacts). Structural MRI scans were defaced with co-registered fiducial coordinates provided in anatomical JSON files.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Lucrezia Liuzzi\": {\n      \"orcid\": \"0000-0003-2344-5187\"\n    },\n    \"Katharine Chang\": {},\n    \"Hanna Keren\": {},\n    \"Charles Zheng\": {},\n    \"Dipta Saha\": {},\n    \"Dylan Nielson\": {},\n    \"Argyris Stringaris\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"MEG\"\n    },\n    {\n      \"term\": \"adolescents\"\n    },\n    {\n      \"term\": \"Major Depressive Disorder\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D003865\"\n    },\n    {\n      \"term\": \"reward processing\"\n    },\n    {\n      \"term\": \"mood induction\"\n    },\n    {\n      \"term\": \"resting state\"\n    },\n    {\n      \"term\": \"structural MRI\"\n    },\n    {\n      \"term\": \"gambling task\"\n    },\n    {\n      \"term\": \"monetary reward\"\n    },\n    {\n      \"term\": \"pre-registered\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on003568\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on003568\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1101/2021.03.04.433969\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds003568.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"National Institute of Mental Health\",\n      \"award_number\": \"ZIA-MH002957-01\"\n    }\n  ],\n  \"resource_type_specific\": \"Structural MRI Dataset\",\n  \"modalities\": [\n    \"anat\",\n    \"meg\"\n  ],\n  \"sizes\": [\n    \"132.5 GB (2131 files)\"\n  ],\n  \"formats\": [\n    \".acq\",\n    \".bak\",\n    \".cfg\",\n    \".cls\",\n    \".de\",\n    \".ds/BadChannels\",\n    \".eeg\",\n    \".gitattributes\",\n    \".gz\",\n    \".hc\",\n    \".hist\",\n    \".infods\",\n    \".json\",\n    \".md\",\n    \".meg4\",\n    \".mrk\",\n    \".newds\",\n    \".res4\",\n    \".segments\",\n    \".tsv\",\n    \".txt\",\n    \".xml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"9846708890abb35d31ebb0507ce4344cf83f6aa6021af6bfaa4ffef649a18d82\"\n}","last_activity_at":"2026-06-22 05:01:21","source":"openneuro","source_id":"ds003568","subject_count":51,"modalities":"anat,meg","age_min":null,"age_max":null,"file_size":132520003991,"total_files":3712,"tasks":"mmi3,rest","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Lucrezia Liuzzi, Katharine Chang, Hanna Keren, Charles Zheng, Dipta Saha, Dylan Nielson, Argyris Stringaris","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003568-blue)](https://doi.org/10.82901/nemar.on003568)\n\nThis dataset contains the MEG and structural MRI data from the \"Electrophysiological correlates of mood and reward dynamics in human adolescents\" pre-registered analysis (https://www.biorxiv.org/content/10.1101/2021.03.04.433969v1).\n  \nThe task-mmi3 data corresponds to the monetary gambling mood induction task described in the paper. Task-mmi3 data has been pre-processed marking bad channels and bad segments (motion > 5mm or/and noise artifacts). \nTask-rest data is unprocessed 10 minutes resting state scan acquired during the same scanning session. \n\nAnatomical MRIs have been defaced and co-registered fiducial coordinates are available in the anatomical json files. \n\nData from four confirmatory subjects are not made available because of missing data sharing consent.\nsub-22658 and sub-24247 do not have an available structural scan. \n","bids_version":"1.2.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-08 14:12:42","zarr_store_count":118,"zarr_index_etag":"2456f80de4bab02e3b3d8ae98addf68e","zarr_source_commit":"427af6be56f867a57296521bcd819f9055b2f574","archive_status":null,"archive_size":null,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":"dataset 123.4 GB exceeds 100.0 GB archive limit; use direct download","zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":3,"num_datapaper_citations":0,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":132511489520,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":80741.58399999999,"recording_duration_min":232,"recording_duration_max":1147.5,"recording_count":118,"recordings_unavailable":0,"recordings_measured":118,"channel_count_min":305,"channel_count_max":348,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-22 05:17:50\",\"metadata_updated_at\":\"2026-06-22 05:18:04\",\"archive_checked_at\":\"2026-06-22 05:18:16\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-22 05:18:43\",\"citations_updated_at\":\"2026-09-08 03:00:51\",\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 04:44:31\",\"data_checked_at\":\"2026-08-01 03:01:09\",\"availability_report_at\":\"2026-07-23 01:14:24\",\"signal_defaults_at\":\"2026-09-02 12:00:50\"}","participants":51,"num_citations":3,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"123 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on003568/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}