{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3454","dataset_id":"ds006502","associated_paper_doi":null,"authors":["Bönstrup, M","Buch, ER","Cohen, LG"],"bids_version":"1.10.0","contact_info":["Ethan Buch"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds006502.v1.0.0","datatypes":["meg"],"demographics":{"subjects_count":31,"ages":[23,23,24,39,23,23,28,22,20,24,22,23,29,24,38,25,24,25,28,32,24,24,22,29,27,23,26,24,26,23,29],"age_min":20,"age_max":39,"age_mean":25.677419354838708,"species":null,"sex_distribution":{"f":21,"m":10},"handedness_distribution":{"r":31}},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds006502","osf_url":null,"github_url":null,"paper_url":null},"funding":["Intramural Research Program (IRP) of the National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA."],"ingestion_fingerprint":"947a7783a1bb99e4f87e1be7b26828a9a963d18589e1810464fb928b6be44546","license":"CC0","n_contributing_labs":null,"name":"Skill learning and consolidation in healthy humans","readme":"# README\n## Contact\nFor additional information, please contact:\nEthan R. Buch (ethan.buch@nih.gov; ORCID: 0000-0002-5443-8222)\n## Overview\nThis study was carried out by the Human Cortical Physiology & Neurorehabilitation Section (HCPS) in the NINDS Intramural Research Program.\nThe primary aim of the study was to investigate changes in brain activity associated with early skill learning during an initial training session, overnight skill consolidation and longer-term skill retention. A longitudinal design was used. Skill learning was assessed using the sequential finger tapping task (SFTT). Participants completed an initial session in which anatomical MRI data was acquired, followed by up to three separate MEG session. During the first MEG training session, participants repeatedly typed a 5-item skill sequence (i.e. – 4-1-3-2-4) with their non-dominant left hand over 36 practice trials (lasting 10s each) inter-leaved with short 10s rest breaks. Their instructed goal was to type the sequence as fast and as accurately as possible. This first training session was typically followed by up to two separate MEG retest sessions occurring approximately 24 (mean+/-SD: 23.44+/- 1.32) hours and 30 (29.45 +/- 6.77) days later. During these later MEG sessions, participants were retested on the trained skill (over 9 trials) and 9 different untrained control skill sequences (one trial each). Resting state MEG data was acquired before and after practice blocks during all three MEG sessions. Skill performance, eye gaze and pupillometry, and left wrist flexor/extensor EMG data were also acquired and synchronized with MEG recordings.\n## Methods\n### Ethics Review\nAll study procedures were approved by the Combined Neuroscience Institutional Review Board of the National Institutes of Health (NIH).\n### Subjects\nStudy data was acquired from a total of 31 right-handed, healthy adults (21 females; mean+/-SD age = 26.14 +/- 4.17). All participants provided written informed consent. Verification of clinical status was based upon a comprehensive health history assessment, physical and neurological examination, and unremarkable clinical Brain MRI scan prior to study data collection.\nInclusion criteria: Healthy right-handed adults.\nExclusion criteria: Active musicians were excluded from the study.\n### Apparatus\nT1-weighted high-resolution (1mm3 isotropic MPRAGE sequence) anatomical brain MRI volumes were acquired for each participant on 3T MRI scanners (GE Excite HDxt and Siemens Skyra) with a standard 32-channel head coil.\nContinuous MEG and EMG data were acquired on a CTF-275 system (CTF Systems, Inc.) at a sampling frequency of 600Hz (60Hz power line frequency). All recordings were performed in a seated position inside a magnetically shielded room. Head position was determined before and after each scan run using three head localization coils attached to the right and left preauricular and nasion landmarks with adhesive tape. The locations for the coils was digitized and mapped the individual participant’s anatomical MRI volume using BrainSight (Rogue Research Inc.).\nBehavioral stimuli were presented and response data acquired using E-Prime 2 (Psychology Software Tools, Inc.) and the Cedrus LS-Line (Cedrus Corp) four-key response pad, respectively.\nEye gaze and pupillometry data was acquired using the EyeLink 1000 Plus (SR Research Ltd.) eye-tracker device and recorded using ADC channel inputs to the CTF-275 system.\n### Task details\nParticipants typed a 5-item numerical sequence displayed on a computer screen (41324) as quickly and as accurately as possible, with their non-dominant left hand.  No explicit feedback related to performance accuracy or speed was provided. Small asterisks appeared above each sequence item as keypresses were recorded to provide location information to participants during practice. Individual practice trials lasted 10s each. All practice trials were interleaved with short 10s rest breaks. The displayed numerical target sequence was replaced with “XXXXX” during the rest breaks.\n### MEG session design\nMEG1:\n1)\t6-minute rest scan\n2)\t12-minute “training” scan (4-1-3-2-4)\n3)\t6-minute rest scan\nMEG2 (approximately 24 hours after MEG1 session on average; precise inter-session intervals can be found in participants.tsv file):\n1)\t6-minute rest scan\n2)\t3-minute trained sequence “retest” scan (4-1-3-2-4; 36 practice trials lasting 10s each with 10s interleaved rest breaks)\n3)\t6-minute rest scan\n4)\t3-minute “control” sequence scan (one 10s trial each of 9 different untrained sequences [2-1-3-4-2, 4-2-4-3-1, 3-4-2-3-1, 1-4-3-4-2, 3-2-4-3-1, 1-4-2-3-1, 3-2-4-2-1, 2-3-1-4-2, 4-2-3-1-4] with 10s interleaved rest breaks)\n5)\t6-minute rest scan\nMEG3 (approximately 30 days after MEG1 session on average; precise inter-session intervals can be found in participants.tsv file):\n1)\t6-minute rest scan\n2)\t3-minute trained sequence “retest” scan (4-1-3-2-4; 9 practice trials lasting 10s each with 10s interleaved rest breaks)\n3)\t6-minute rest scan\n4)\t3-minute “control” sequence scan (one 10s trial each of 9 different untrained sequences [2-1-3-4-2, 3-1-2-1-4, 1-2-4-3-4, 4-1-3-2-1, 2-3-2-4-1, 3-1-4-3-2, 2-3-1-3-4, 1-2-1-3-4, 4-3-2-4-1] with 10s interleaved rest breaks)\n5)\t6-minute rest scan\n### Experimental location\nAll study data was acquired in the Nuclear Magnetic Resonance Facility (NMRF) at the NIH Clinical Center in Bethesda, MD.\n### Missing data\nThree of the gradiometers were malfunctioning and were not used, resulting in 272 total channels of MEG data.\nSome participants did not complete the 2nd and 3rd MEG sessions.\nNo keypress responses were recorded for participant “sub-01” on trial 1 of MEG1 training.\nThe MEG recording for participant “sub-10” MEG1 training terminated during the rest break after practice trial 34. No MEG data was recorded for practice trials 35 and 36.\nNo keypress responses were recorded for participant “sub-23” on trial 1 of MEG1 training and trials 1 and 2 of MEG2 retest.","recording_modality":["meg"],"senior_author":"Cohen, LG","sessions":["meg1","meg2","meg3"],"size_bytes":102812849034,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["control","rest","retest","training"],"timestamps":{"digested_at":"2026-04-22T12:29:31.137202+00:00","dataset_created_at":"2025-07-28T19:06:15.608Z","dataset_modified_at":"2025-08-12T04:55:40.000Z"},"total_files":380,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006502","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"e86f4caa1a36409a","model":"openai/gpt-5.2","tagged_at":"2026-01-20T19:01:34.749115+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Learning"],"confidence":{"pathology":0.9,"modality":0.9,"type":0.85},"reasoning":{"few_shot_analysis":"Most similar few-shot by paradigm is the “EEG Motor Movement/Imagery Dataset” (motor actions guided by on-screen targets), which is labeled Modality=Visual because the instruction/target is presented visually even though the response is a movement. That convention guides selecting Visual modality here because the sequence cue is shown on a screen. For Type, two few-shots provide the key convention: (a) “EEG Motor Movement/Imagery Dataset” uses Type=Motor when the focus is executing/imagining movements; (b) “EEG: Probabilistic Learning with Affective Feedback” uses Type=Learning when the primary construct is learning across trials. This dataset explicitly emphasizes skill learning and consolidation over time, pushing Type toward Learning rather than Motor.","metadata_analysis":"Population/Pathology: The README explicitly states a normative cohort: “Study data was acquired from a total of 31 right-handed, healthy adults” and “Inclusion criteria: Healthy right-handed adults.” It also notes “unremarkable clinical Brain MRI scan prior to study data collection.”\n\nStimulus modality: The task cue is clearly visual: “Participants typed a 5-item numerical sequence displayed on a computer screen (41324)” and “The displayed numerical target sequence was replaced with “XXXXX” during the rest breaks.” Additional visual cueing is mentioned: “Small asterisks appeared above each sequence item as keypresses were recorded.”\n\nResearch purpose/type: The main aim is learning and consolidation: “primary aim of the study was to investigate changes in brain activity associated with early skill learning… overnight skill consolidation and longer-term skill retention” and “Skill learning was assessed using the sequential finger tapping task (SFTT).” The longitudinal retest structure supports this: “retested on the trained skill… approximately 24 hours… and 30 days later.”","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology — Metadata says: “31 right-handed, healthy adults” / “Inclusion criteria: Healthy right-handed adults.” Few-shot pattern suggests labeling Healthy when explicitly stated; ALIGN.\n\nModality — Metadata says: “sequence displayed on a computer screen” and uses visual placeholders (“XXXXX”) and asterisks above items. Few-shot convention (Motor Movement/Imagery dataset labeled Visual modality due to on-screen targets) suggests Visual; ALIGN.\n\nType — Metadata says the “primary aim… early skill learning… consolidation… retention” and uses a longitudinal training/retest design. Few-shot patterns suggest either Motor (for movement execution focus) or Learning (when the construct is learning across trials). Here the explicit aim is learning/consolidation; ALIGN with Learning convention, though Motor is a close runner-up (no conflict; just competing plausible labels).","decision_summary":"Top-2 candidates per category:\n\nPathology:\n1) Healthy — Evidence: “31 right-handed, healthy adults”; “Inclusion criteria: Healthy right-handed adults”; “unremarkable clinical Brain MRI scan”.\n2) Unknown — Only if health status were not explicit (but it is).\nFinal: Healthy. (Alignment: aligns with few-shot conventions.) Confidence=0.9 due to 3 explicit quotes.\n\nModality:\n1) Visual — Evidence: “sequence displayed on a computer screen”; “displayed numerical target sequence was replaced with “XXXXX””; “Small asterisks appeared above each sequence item”. Few-shot support: motor task with on-screen targets labeled Visual.\n2) Motor — Would apply if modality were based on response channel, but guidelines say modality is stimulus/input channel.\nFinal: Visual. Confidence=0.9 (3 explicit quotes + strong few-shot analog).\n\nType:\n1) Learning — Evidence: “primary aim… early skill learning… overnight skill consolidation… longer-term skill retention”; “Skill learning was assessed using the sequential finger tapping task”; longitudinal “retested… approximately 24 hours… and 30 days later”.\n2) Motor — Also plausible because it is finger tapping, but the stated research purpose is learning/consolidation rather than movement execution per se.\nFinal: Learning. Confidence=0.85 (3 explicit learning-focused quotes; runner-up Motor remains plausible)."}},"computed_title":"Skill learning and consolidation in healthy humans","nchans_counts":[{"val":307,"count":204},{"val":308,"count":101},{"val":310,"count":51},{"val":306,"count":24}],"sfreq_counts":[{"val":600.0,"count":380}],"stats_computed_at":"2026-04-22T23:16:00.311686+00:00","total_duration_s":136380.0,"author_year":"Bonstrup2025","canonical_name":null}}