{"dataset":{"id":"61198","dataset_id":"on006866","name":"Discrepancy between self-report and neurophysiological markers of socio-affective responses in lonely individuals","description":"This dataset contains 64-channel EEG recordings and behavioral ratings from 148 healthy adults performing an Emotion Processing and Regulation task using static emotional images. The study examines discrepancies between self-reported and neurophysiological socio-affective responses in relation to loneliness, using a factorial design manipulating stimulus content (social/non-social) and regulation instructions (watch-neutral, watch-negative, reappraise-negative). Participants rated arousal and valence after viewing each stimulus, enabling analysis of the relationship between subjective and physiological emotional responses.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on006866","concept_doi":"10.82901/nemar.on006866","latest_version_doi":"10.82901/nemar.on006866.v1.0.0","created_at":"2026-06-29 15:01:55","updated_at":"2026-08-19 00:16:32","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Discrepancy between self-report and neurophysiological markers of socio-affective responses in lonely individuals\",\n  \"description\": \"This dataset contains 64-channel EEG recordings and behavioral ratings from 148 healthy adults performing an Emotion Processing and Regulation task using static emotional images. The study examines discrepancies between self-reported and neurophysiological socio-affective responses in relation to loneliness, using a factorial design manipulating stimulus content (social/non-social) and regulation instructions (watch-neutral, watch-negative, reappraise-negative). Participants rated arousal and valence after viewing each stimulus, enabling analysis of the relationship between subjective and physiological emotional responses.\",\n  \"methods_description\": \"EEG was recorded using a 64-channel QuickCap and Neuroscan SynampsRT amplifier at 1000 Hz sampling rate, with impedances kept below 5 kΩ. Additional sensors included horizontal and vertical EOG, EKG, and GSR/EDA. Preprocessing was performed in MATLAB using EEGLAB and ERPLAB, including band-pass filtering (0.1–30 Hz), downsampling to 250 Hz, average mastoid re-referencing, automatic bad-channel rejection (clean_rawdata), ICA with ADJUST/SASICA component rejection, spherical interpolation, epoching (-200 to 5000 ms), baseline correction, artifact rejection, and condition averaging.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Szymon Mąka\": {},\n    \"Marta Chrustowicz\": {},\n    \"Łukasz Okruszek\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"loneliness\"\n    },\n    {\n      \"term\": \"emotion regulation\"\n    },\n    {\n      \"term\": \"event-related potentials\"\n    },\n    {\n      \"term\": \"reappraisal\"\n    },\n    {\n      \"term\": \"social cognition\"\n    },\n    {\n      \"term\": \"valence\"\n    },\n    {\n      \"term\": \"arousal\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.18112/openneuro.ds006866.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on006866\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on006866\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"National Science Centre, Poland\",\n      \"award_number\": \"2019/35/B/HS6/00517\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"127.0 GB (299 files)\"\n  ],\n  \"formats\": [\n    \".asv\",\n    \".erp\",\n    \".json\",\n    \".m\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"e8372f9e11eeeebf3021a3db64ba118bedd01a98d5d13e905172ed04705ccb52\"\n}","last_activity_at":"2026-06-29 15:01:55","source":"openneuro","source_id":"ds006866","subject_count":148,"modalities":"eeg","age_min":18,"age_max":35,"file_size":127054390000,"total_files":750,"tasks":"EmotionProcessingandRegulationtask","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Szymon Mąka, Marta Chrustowicz, Łukasz Okruszek","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006866-blue)](https://doi.org/10.82901/nemar.on006866)\n\n# Emotion Processing and Regulation Task (Static Stimuli) — EEG Dataset\n\nThis dataset contains EEG recordings and behavioral data from the **Emotion Processing and Regulation** task with static emotional stimuli. \n\n* **Preregistration:** [https://osf.io/g8qey](https://osf.io/g8qey)\n* **Preprint:** [https://osf.io/preprints/psyarxiv/v9dt3_v2](https://osf.io/preprints/psyarxiv/v9dt3_v2)\n\n---\n\n## Participants\n\n* **N = 148** right-handed, neurologically healthy adults with normal or corrected-to-normal vision.\n\n---\n\n## Experimental Design\n\nThe single session comprised 240 trials, split evenly across six conditions defined by stimulus content type Participants completed 240 trials in a single session, evenly allocated to a 2 (content: social, non-social) × 3 (regulation requirement: watch-neutral, watch-negative, reappraise-negative) factorial design. On each trial, they viewed a static image for 5 s and either passively watched it or reappraised it as instructed. They then rated arousal and subsequently valence of the image on separate 9-point scales.\n\n---\n\n## EEG Data Acquisition\n\n* **EEG Cap:** 64-channel QuickCap\n* **Amplifier:** Neuroscan SynampsRT\n* **Sampling rate:** 1000 Hz\n* **Impedance:** below 5 kΩ\n\n### Recorded Channels\n\nFP1, FPZ, FP2, AF3, AF4, F7, F5, F3, F1, FZ, F2, F4, F6, F8,\nFT7, FC5, FC3, FC1, FCZ, FC2, FC4, FC6, FT8, T7, C5, C3, C1, CZ, C2, C4, C6, T8,\nM1, TP7, CP5, CP3, CP1, CPZ, CP2, CP4, CP6, TP8, M2, P7, P5, P3, P1, PZ, P2, P4, P6, P8,\nPO7, PO5, PO3, POZ, PO4, PO6, PO8, CB1, O1, OZ, O2, CB2\n\n### Additional Sensors\n\n* HEO (Horizontal EOG)\n* VEO (Vertical EOG)\n* EKG\n* GSR/EDA\n\n---\n\n## EEG Preprocessing\n\nAll preprocessing was conducted in **MATLAB R2020b** using **EEGLAB 2023.0** and **ERPLAB 9.10**. The preprocessing pipeline and fully commented scripts are available in `code/Preprocessing_EEG.m`.\n\n### Summary of preprocessing steps\n\n1. **Band-pass filtering:** 0.1–30 Hz (zero-phase Hamming-windowed FIR)\n2. **Downsampling:** 250 Hz\n3. **Re-referencing:** average mastoids (M1, M2)\n4. **Automatic bad-channel rejection:** *clean_rawdata* (autocorrelation = 0.8)\n5. **ICA:** *runica* algorithm\n6. **Automatic component rejection:** **ADJUST** and **SASICA**\n7. **Spherical interpolation** of removed channels\n8. **Epoching:** −200 to 5000 ms relative to stimulus onset\n9. **Baseline correction:** −200 ms pre-stimulus\n10. **Artifact rejection:** ±100 µV within 200 ms moving window (100 ms step)\n11. **Condition averaging:** using ERPLAB\n\n---\n\n## Derivatives & Supplemental Data\n\n### `derivatives/processed_erps/`\n\nContains averaged ERP files (`.erp`) for each participant after preprocessing.\n\n### `code/`\n\nIncludes MATLAB preprocessing scripts and documentation (`Preprocessing_EEG.m`).\n\n","bids_version":"1.8.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-23 22:23:00","zarr_store_count":148,"zarr_index_etag":"d80c15fff7985c23b577ecc81d8d2bc6","zarr_source_commit":"9dd924b85d23b565a10acfa19fff076e35a555bd","archive_status":null,"archive_size":null,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":"dataset 118.3 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":0,"num_datapaper_citations":0,"n_channels":69,"electrode_system":"10-10","has_hed":0,"hed_version":"8.1.0","is_exemplar":0,"bytes_present":127047329399,"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":444062.72399999993,"recording_duration_min":2471.94,"recording_duration_max":4543.724,"recording_count":148,"recordings_unavailable":0,"recordings_measured":148,"channel_count_min":69,"channel_count_max":69,"sampling_frequency":1000,"power_line_frequency":50,"eeg_reference":"between CZ and CPZ","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-19 00:16:16\",\"metadata_updated_at\":\"2026-08-19 00:16:31\",\"archive_checked_at\":\"2026-06-29 15:18:10\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-29 15:18:47\",\"citations_updated_at\":null,\"channel_montage_checked_at\":null,\"hed_checked_at\":\"2026-06-30 05:38:49\",\"data_checked_at\":\"2026-08-30 03:00:28\",\"availability_report_at\":\"2026-07-23 01:30:29\",\"recording_stats_at\":\"2026-09-02 11:33:48\",\"signal_defaults_at\":\"2026-09-02 12:49:27\"}","participants":148,"num_citations":0,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"118 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on006866/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}}