{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a346c","dataset_id":"ds006848","associated_paper_doi":null,"authors":["Alexandra I. Kosachenko","Danil I. Syttykov","Dmitry A. Tarasov","Alexander I. Kotyusov","Yuri G. Pavlov"],"bids_version":"1.7.0","contact_info":["Yuri G. Pavlov"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds006848.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":30,"ages":[20,19,21,21,22,18,20,18,20,23,18,19,18,19,19,21,18,19,19,18,19,19,19,18,20,19,19,19,23,32],"age_min":18,"age_max":32,"age_mean":19.9,"species":null,"sex_distribution":{"f":25,"m":5},"handedness_distribution":{"r":24,"l":5}},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds006848","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"1f58782b002b4a485a894eeec26b816094d7c3f740022b43914e714bca848700","license":"CC0","n_contributing_labs":null,"name":"AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits","readme":"Overview\nThis dataset consists of raw 64-channel EEG, electrocardiography (ECG), photoplethysmography (PPG), and behavioral data recorded from 30 healthy young adults during two experimental conditions: resting state and a verbal working memory (digit span) task with serial recall.\nResting-state recording\nDuring the resting-state session, participants alternated between four 1-minute blocks of eyes-closed and eyes-open resting, followed by 3 minutes 52 seconds of passive cartoon watching (“The Man Who Was Afraid of Falling”, 2011).\nEEG, ECG, and PPG were recorded continuously throughout this session.\nVerbal working memory task\nIn the verbal working memory task, participants were presented visually with sequences of seven digits under four different presentation modes:\n 1. Simultaneous – all seven digits presented together for 2800 ms;\n 2. Fast sequential – each digit presented for 400 ms;\n 3. Fast + delay sequential – each digit presented for 400 ms with a 600 ms inter-stimulus interval (ISI);\n 4. Slow sequential – each digit presented for 1000 ms.\nThey were instructed to memorize each sequence and type the digits in serial order using the right hand on the numpad. Behavioral accuracy and partial-score measures were computed for each trial.\nData organization\nEach participant folder (sub-XXX) contains:\n • eeg/ — EEG, ECG, and PPG recordings in BrainVision format (.vhdr, .vmrk, .eeg) accompanied by event (_events.tsv) and metadata (.json) files.\nWhen available, both the resting-state (task-rest) and working-memory (task-verbalwm) recordings are stored here.\n • beh/ — behavioral data (_beh.tsv and _beh.json) with trial-by-trial recall accuracy, sequence information, and response measures.\nParticipants\nThe dataset includes 30 participants (age range 18–32 years; 23 females, 7 males). Most were right-handed, with a few left-handed or ambidextrous.\nAll participants contributed working memory EEG and behavioral data. Several lacked resting state data for EEG, PPG, and ECG: sub-002, sub-003, sub-004, sub-005, sub-006, sub-008, sub-009, sub-011.\nPotential applications\nThis dataset can be used to:\n1. Develop algorithms that classify working memory load.\n2. Study neural signals, including event-related potentials and oscillations, alongside peripheral physiology from ECG and PPG during encoding, maintenance, and retrieval at a fine time scale for each sequential item.\n3. Examine how neural and physiological signals relate to behavioral accuracy and retrieval time on a trial-by-trial basis.","recording_modality":["eeg"],"senior_author":"Yuri G. Pavlov","sessions":[],"size_bytes":44416584256,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["rest","verbalwm"],"timestamps":{"digested_at":"2026-04-22T12:29:42.405578+00:00","dataset_created_at":"2025-10-27T14:10:06.799Z","dataset_modified_at":"2025-10-28T07:46:08.000Z"},"total_files":52,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006848","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"1e64c3bca2dddd99","model":"openai/gpt-5.2","tagged_at":"2026-01-20T19:10:36.072246+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Memory"],"confidence":{"pathology":0.9,"modality":0.8,"type":0.8},"reasoning":{"few_shot_analysis":"Most similar few-shot example by task paradigm is the digit span working memory dataset (few-shot title: \"EEG, pupillometry, ECG... in the digit span task and rest\"), which maps a digit-span/serial recall paradigm to Type=Memory and Pathology=Healthy. Our target dataset is also a digit span/serial recall working memory experiment plus resting-state, so the same Type convention applies, but with Visual (digits shown on screen) rather than Auditory (digits played). As a secondary style reference, the resting-state sleep deprivation few-shot shows that eyes-open/closed blocks alone would map to Modality=Resting State and Type=Resting-state; however, in our dataset the explicit primary task is a working memory digit span paradigm, so Memory should dominate Type labeling.","metadata_analysis":"Key participant/pathology facts: (1) \"recorded from 30 healthy young adults\" and (2) \"The dataset includes 30 participants (age range 18–32 years; 23 females, 7 males).\" \nKey task/stimulus facts: (3) Resting includes \"eyes-closed and eyes-open resting\" and \"passive cartoon watching\"; (4) working memory task uses visual stimuli: \"participants were presented visually with sequences of seven digits\"; (5) responses are typed: \"type the digits in serial order using the right hand on the numpad.\" These establish Healthy recruitment, a dominant Visual stimulus modality (digits and cartoon), and a working memory/serial recall study purpose.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology — Metadata says: \"30 healthy young adults\". Few-shot pattern suggests: digit-span datasets typically label as Healthy when no disorder is recruited (e.g., digit span few-shot is Healthy). ALIGN.\nModality — Metadata says: \"presented visually with sequences of seven digits\" and includes \"passive cartoon watching\" (also visual), though it also includes eyes open/closed resting. Few-shot pattern suggests: digit-span auditory example is Auditory because digits were auditory; resting-state examples map to Resting State when no task. PARTIAL CONFLICT/mixture: both Visual and Resting State elements exist, but the explicit cognitive task uses Visual stimuli; choose Visual as dominant stimulus modality.\nType — Metadata says: \"verbal working memory (digit span) task with serial recall\" and describes memorization/recall. Few-shot pattern suggests: digit-span paradigms map to Type=Memory. ALIGN (resting-state is present but appears secondary to the WM focus).","decision_summary":"Top-2 candidates:\nPathology: (1) Healthy — supported by \"30 healthy young adults\" and demographic listing with no clinical group; (2) Unknown — only if recruitment were unclear (not the case). Final: Healthy. Evidence alignment: aligns with digit-span few-shot conventions. Confidence=0.9 (2 explicit healthy-participant quotes + clear few-shot analog).\nModality: (1) Visual — supported by \"presented visually with sequences of seven digits\" and \"passive cartoon watching\"; (2) Resting State — supported by \"eyes-closed and eyes-open resting\" blocks. Final: Visual because the main experimental stimulus/task described is visual digit span (cartoon is also visual), while resting is an additional condition. Confidence=0.8 (2 explicit visual-stimulus quotes, but mixed-session design leaves a plausible runner-up).\nType: (1) Memory — supported by \"verbal working memory (digit span) task with serial recall\", \"instructed to memorize\", and trial-by-trial recall accuracy; (2) Resting-state — plausible due to explicit resting session description. Final: Memory because the dataset framing and detailed paradigm center on working memory encoding/maintenance/retrieval. Confidence=0.8 (3 explicit WM/recall-focused quotes + strong few-shot analog)."}},"computed_title":"AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits","nchans_counts":[{"val":65,"count":52}],"sfreq_counts":[{"val":1000.0,"count":52}],"stats_computed_at":"2026-04-22T23:16:00.312047+00:00","total_duration_s":170674.638,"author_year":"Kosachenko2025","canonical_name":null}}