{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a33fc","dataset_id":"ds005530","associated_paper_doi":null,"authors":["Viviana Greco","Tamas A. Foldes","Neil A. Harrison","Kevin Murphy","Marta Wawrzuta","Mahmoud E. A. Abdellahi","Penelope A. Lewis"],"bids_version":"1.8.0","contact_info":["Tamas Foldes","viviana greco"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds005530.v1.0.9","datatypes":["eeg"],"demographics":{"subjects_count":17,"ages":[26,22,29,29,22,29,23,22,27,21,21,22,27,29,32,23,22,26],"age_min":21,"age_max":32,"age_mean":25.11111111111111,"species":null,"sex_distribution":{"m":7,"f":11},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds005530","osf_url":null,"github_url":null,"paper_url":null},"funding":["ERC consolidator grant SolutionSleep to Lewis P.A.","The Wellcome Trust [WT224267] to Murphy K"],"ingestion_fingerprint":"1e57dd2aaf3cd15ca8e84788dda2b196d0b3a94a16e9c5ccd6905311e09454de","license":"CC0","n_contributing_labs":null,"name":"Depotentiation of emotional reactivity using TMR during REM sleep","readme":"# Disarming emotional memories using Targeted Memory Reactivation during Rapid Eye Movement sleep\nThis dataset contains fMRI and EEG data from a study investigating the effects of Targeted Memory Reactivation (TMR) during REM sleep on emotional reactivity. As well as behavioural data and ECG collected during behavioural tasks.\n## Study Design\nParticipants rated the arousal of 48 affective images paired with semantically matching sounds. Heart rate deceleration was used as a measure of their autonomic arousal. Half of these sounds were cued during REM in the subsequent overnight sleep cycle. Participants rated the images in an MRI scanner with pulse oximetry 48 hours after encoding, and they completed an online follow up two weeks later.\n### Sessions\n1. Baseline: Initial arousal ratings as well as overnight sleep with TMR\n2. Session 48-H: fMRI scanning, pulse oximetry and arousal ratings (48 hours after baseline)\n3. Session 2-Wk: Online follow-up (2 weeks after baseline)\n## Data Acquisition\n- **fMRI**: Acquired using a Siemens Magnetom Prisma 3T scanner with a 32-channel head coil\n- **Heart Rate**: Recorded using BrainVision BrainAmp ExG with ExG AUX box and multitrodes during the behavioural session and pulse oximetry during the fMRI session3\n- **Polysomnography**: Recorded using ten electrodes including 6 EEG channels (F3, F4, C3, C4, O1 and O2), 2 EMG channels and 2 EOG channels. All channels were live referenced to the average of left and right mastoids.\n## Dataset Contents\nThis initial upload contains:\n- T1-weighted structural images\n- Functional MRI data from Session 48-H\n- B0 field maps\n- Behavioural data from all sessions\n## Preprocessing\nfMRI data were preprocessed using fMRIPrep 20.2.7. Details of the preprocessing pipeline can be found in the methods section of the associated publication.\nT1-weighted structural scans were defaced using pydeface version 2.0.2 to ensure participant anonymity.\nWithin the behavioral data, the baseline ratings were centered within each participant. This was achieved by subtracting each participant's mean baseline rating from the item-specific ratings they gave to the stimuli.\n## Additional Information\nFor more detailed information about the study design, methods, and results, please refer to the associated publication (citation to be added upon publication).\nThis dataset was initially converted to BIDS format using ezBIDS (https://brainlife.io/ezbids).\n### Contact\nFor questions about the MRI dataset, please contact:\nDr Tamas Foldes\nfoldesta@cardiff.ac.uk","recording_modality":["eeg"],"senior_author":"Penelope A. Lewis","sessions":[],"size_bytes":6949640968,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["sleep"],"timestamps":{"digested_at":"2026-04-22T12:28:34.736441+00:00","dataset_created_at":"2024-09-25T19:04:42.320Z","dataset_modified_at":"2025-02-24T20:34:28.000Z"},"total_files":21,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005530","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"bb997786cec9e049","model":"openai/gpt-5.2","tagged_at":"2026-01-20T18:26:47.740087+00:00"},"tags":{"pathology":["Healthy"],"modality":["Multisensory"],"type":["Sleep"],"confidence":{"pathology":0.7,"modality":0.8,"type":0.75},"reasoning":{"few_shot_analysis":"Most similar few-shot is the “Surrey cEEGrid sleep data set” example, which is labeled with Modality=\"Sleep\" and Type=\"Sleep\" when the recording context is overnight sleep without a typical waking cognitive task. The current dataset also centers on an overnight sleep session and specifically manipulates REM sleep using Targeted Memory Reactivation (TMR), which aligns with that convention for assigning Type=\"Sleep\" (sleep-stage/PSG-centric purpose). For stimulus modality conventions, the Parkinson’s cross-modal oddball example shows that when both auditory and visual stimuli are integral, Modality can be \"Multisensory\"; here, images are paired with sounds and sounds are later replayed during REM, indicating a multisensory paradigm across sessions.","metadata_analysis":"Key task/stimulus facts from the README include: (1) sleep-stage manipulation/TMR: \"Targeted Memory Reactivation (TMR) during REM sleep\" and \"Half of these sounds were cued during REM in the subsequent overnight sleep cycle.\" (2) multisensory encoding material: \"48 affective images paired with semantically matching sounds.\" (3) explicit polysomnography/sleep recording context: \"Polysomnography: Recorded using ten electrodes including 6 EEG channels ... 2 EMG ... 2 EOG\" and sessions include \"overnight sleep with TMR.\" These indicate (a) a sleep study, (b) auditory cues and visual affective images, and (c) emotional-memory manipulation rather than e.g., motor or resting-state.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata SAYS nothing about a diagnosed/clinical recruitment group (no mention of patients/disorders), only \"Participants\" in a sleep/memory experiment. Few-shot pattern SUGGESTS that absent explicit clinical recruitment, label as \"Healthy\" (e.g., multiple healthy volunteer cognitive/sleep datasets). ALIGN (no conflict).\n\nModality: Metadata SAYS both \"affective images\" (visual) and \"sounds\" (auditory), with replayed sounds during REM: \"images paired with ... sounds\" and \"sounds were cued during REM.\" Few-shot pattern SUGGESTS using \"Multisensory\" when both visual and auditory stimuli are core to the paradigm (as in the cross-modal oddball example). ALIGN.\n\nType: Metadata SAYS the intervention/manipulation is sleep-stage based: \"TMR during REM sleep\" and includes \"overnight sleep with TMR\" with PSG. Few-shot pattern SUGGESTS Type=\"Sleep\" when the study’s core is sleep/PSG and sleep-stage manipulation (Surrey sleep example). Although affect/emotional reactivity is also central (\"emotional reactivity\"), the sleep-stage TMR is the primary experimental lever; therefore Type=\"Sleep\" best matches conventions. Mostly ALIGN (minor competition with Affect/Memory but not a conflict).","decision_summary":"Pathology top-2: (1) Healthy — supported by lack of any clinical recruitment statement (no disorders named) and general \"Participants\" wording; (2) Unknown — possible if participant health status is unspecified. Winner: Healthy (no evidence of a pathology-based recruitment). Confidence=0.7 because there is no explicit \"healthy\" quote.\n\nModality top-2: (1) Multisensory — \"affective images paired with semantically matching sounds\" plus auditory replay during REM; (2) Auditory — because TMR cueing uses \"sounds\" during REM. Winner: Multisensory because both visual and auditory stimuli are central across the study (encoding/ratings use images+sounds; sleep uses sounds). Confidence=0.8 based on two explicit stimulus quotes.\n\nType top-2: (1) Sleep — \"TMR during REM sleep\" and \"overnight sleep with TMR\" plus PSG acquisition; (2) Affect — \"emotional reactivity\" and \"affective images\". Winner: Sleep because the core manipulation and recording context is REM sleep with targeted reactivation. Confidence=0.75 due to multiple explicit sleep/TMR quotes but some competition with Affect/Memory."}},"nemar_citation_count":0,"computed_title":"Depotentiation of emotional reactivity using TMR during REM sleep","nchans_counts":[{"val":10,"count":21}],"sfreq_counts":[{"val":500.0,"count":21}],"stats_computed_at":"2026-04-22T23:16:00.309897+00:00","total_duration_s":521189.698,"author_year":"Greco2024","canonical_name":null}}