{"success":true,"database":"eegdash","data":{"_id":"69d16e04897a7725c66f4c45","dataset_id":"ds007314","associated_paper_doi":null,"authors":["Maria Martzoukou","Nefeli K. Dimitriou","Binbin Xu","Malo Renaud-d’Ambra","Anastasia Nousia","Alexandre Aksenov","Anne Beuter","Grigorios Nasios"],"bids_version":"1.8.0","contact_info":["Maria Martzoukou"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds007314.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":2,"ages":[38,54],"age_min":38,"age_max":54,"age_mean":46.0,"species":null,"sex_distribution":{"f":1,"m":1},"handedness_distribution":{"r":1,"l":1}},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds007314","osf_url":null,"github_url":null,"paper_url":null},"funding":["No formal funding reported."],"ingestion_fingerprint":"0fe27bc1d1d00303eeb0677a12a2be0d360aec3f3516276c9020449117276b46","license":"CC0","n_contributing_labs":null,"name":"tACS for Patients with Post-Stroke Anomia","readme":"**Title:** Transcranial Alternating Current Stimulation (tACS) for Patients with Post-Stroke Anomia: Preliminary Data on Picture Naming Performance\n**Dataset Description:**\\\nThis dataset includes EEG recordings from two post-stroke patients with chronic anomia who participated in an 8-week individualized neuromodulation intervention using transcranial alternating current stimulation (tACS). The intervention alternated between stimulation and non-stimulation phases every two weeks and was designed to enhance naming abilities via cortical entrainment, guided by individual EEG profiles.\n**Data Overview:**\n- **Participants:** 2 individuals with post-stroke anomia (1 left-hemisphere lesion, 1 right-hemisphere lesion)\n- **Sessions:** EEG recorded every two weeks during the intervention (W1, W2, W4, W6, W8), and at follow-ups (W12, W20)\n- **Stimulation:** tACS applied during alternating weeks; frequency and montage were personalized based on initial EEG\n- **Tasks:** Picture naming task using a standardized set of stimuli; EEG recorded during task execution\n- **Modality:** EEG (recorded using Starstim-32), processed in EEGLAB and prepared for BIDS\n**Experimental Design:**\\\nA single-case experimental design (SCED, ABAB type) was employed. Behavioral and EEG data were collected across 24 naming sessions and 6 EEG recording sessions per participant. The data includes tACS and no-tACS conditions.\n**Purpose:**\\\nTo investigate whether tACS improves naming accuracy and latency in chronic aphasia and whether those effects are sustained after intervention.\n**Data Notes:**\n- EEG recordings are organized in BIDS format, with sessions labeled by week (e.g., `week-01`, `week-12`)\n- Session and run numbers reflect weeks of intervention\n**Ethics:**\\\nAll participants provided written informed consent. The study was approved by the Ethics Committee of the Medical School of Ioannina (approval nr. 49625) and conducted in accordance with the Declaration of Helsinki.\n**Contact:**\\\nFor questions about the dataset, contact Maria Martzoukou (<m.martzoukou@uoi.gr>)","recording_modality":["eeg"],"senior_author":"Grigorios Nasios","sessions":["1","12","2","20","4","6","8"],"size_bytes":1165891095,"source":"openneuro","storage":{"backend":"s3","base":"s3://openneuro.org/ds007314","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv","task-PictureNaming_events.json"]},"study_design":null,"study_domain":null,"tasks":["PictureNaming"],"timestamps":{"digested_at":"2026-04-22T12:30:10.441916+00:00","dataset_created_at":"2026-01-23T19:09:13.444Z","dataset_modified_at":"2026-04-03T07:38:20.000Z"},"total_files":14,"computed_title":"tACS for Patients with Post-Stroke Anomia","nchans_counts":[{"val":32,"count":14}],"sfreq_counts":[{"val":500.0,"count":14}],"stats_computed_at":"2026-04-22T23:16:00.312718+00:00","total_duration_s":17596.844,"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"152d75c0d1ad55a2","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Other"],"modality":["Visual"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.8,"modality":0.8,"type":0.9},"reasoning":{"few_shot_analysis":"Closest few-shot conventions:\n- Cross-modal Oddball Task (Parkinson’s) is labeled Type=Clinical/Intervention because the dataset is centered on a recruited clinical cohort and clinical dysfunction biomarkers, not merely the cognitive task mechanics.\n- Alzheimer’s/FTD resting-state dataset is also labeled Type=Clinical/Intervention because it is explicitly a disease-focused dataset.\nThese examples guide the convention that when an intervention/clinical cohort is the primary purpose (here, tACS for post-stroke anomia), Type should be Clinical/Intervention. For Modality, few-shot examples consistently label modality by the stimulus channel (e.g., visual discrimination → Visual), which maps picture naming (picture stimuli) to Visual.","metadata_analysis":"Key metadata facts (quotes):\n- Pathology/population: \"EEG recordings from two post-stroke patients with chronic anomia\" and \"2 individuals with post-stroke anomia\".\n- Intervention focus: \"8-week individualized neuromodulation intervention using transcranial alternating current stimulation (tACS)\" and \"The data includes tACS and no-tACS conditions.\" \n- Task/stimulus: \"Picture naming task using a standardized set of stimuli; EEG recorded during task execution\" and title: \"Picture Naming Performance\".\n- Clinical aim: \"To investigate whether tACS improves naming accuracy and latency in chronic aphasia\".","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: \"post-stroke patients with chronic anomia\" / \"post-stroke anomia\".\n- Few-shot pattern suggests: when a clear clinical condition is used to recruit participants, Pathology should not be Healthy/Unknown.\n- Alignment: ALIGN (clinical recruitment is explicit), but allowed pathology labels do not include Stroke/Aphasia, so best fit is Other.\n\nModality:\n- Metadata says: \"Picture naming task\" and \"standardized set of stimuli\" (pictures).\n- Few-shot pattern suggests: modality is determined by stimulus channel (e.g., visual discrimination → Visual).\n- Alignment: ALIGN → Visual.\n\nType:\n- Metadata says: \"neuromodulation intervention using ... tACS\", \"ABAB\" design with stimulation vs non-stimulation phases, and goal \"whether tACS improves naming\".\n- Few-shot pattern suggests: intervention/clinical-purpose datasets → Clinical/Intervention.\n- Alignment: ALIGN → Clinical/Intervention.","decision_summary":"Top-2 candidates and selection:\n\nPathology:\n1) Other (SELECTED): Explicitly recruited \"post-stroke patients with chronic anomia\" / \"post-stroke anomia\"; stroke/aphasia not present as an allowed specific label, so Other is the closest pathology bucket.\n2) TBI (RUNNER-UP): Stroke is an acquired brain injury and sometimes loosely conflated with injury categories, but metadata explicitly says \"post-stroke\" rather than traumatic injury; TBI label would be factually mismatched.\nConfidence notes: multiple explicit quotes specifying post-stroke anomia support a non-Healthy pathology, but mapping must fall back to Other due to label set.\n\nModality:\n1) Visual (SELECTED): \"Picture naming task\" implies visually presented pictures as stimuli.\n2) Other (RUNNER-UP): Could be considered language production/speech-heavy, but modality is defined by input channel, and the input is pictures.\nConfidence notes: task name and description directly indicate picture stimuli.\n\nType:\n1) Clinical/Intervention (SELECTED): \"8-week ... intervention using ... tACS\", \"tACS and no-tACS conditions\", and explicit purpose to test improvement in naming in \"chronic aphasia\".\n2) Other (RUNNER-UP): Could be framed as language/cognitive assessment, but the dominant aim is intervention efficacy.\nConfidence notes: 3+ explicit intervention/clinical-purpose quotes + strong few-shot convention match for intervention-focused clinical datasets."}},"canonical_name":null,"name_confidence":0.88,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"Martzoukou2026_tACS"}}