EEG: Three-Stim Auditory Oddball and Rest in Acute and Chronic TBI
…For Chronic TBI, there was only one session for this study. There…
- Participants
- 96
- Channels
- 65 (10-10)
- Citations
- 24
- Size
- 25.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
35 results for "chronic aphasia" · page 1 of 4 · ranked by relevance
…For Chronic TBI, there was only one session for this study. There…
This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks involving two conditions: cooperate and independent word imagery. The study employed a motor imagery paradigm with auditory and visual cues, yielding 3,600 preprocessed trials (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.
…naming accuracy and latency in chronic aphasia and whether those effects are…
An open-access EEG dataset containing recordings from 15 healthy Spanish-speaking subjects performing imagined speech tasks. The dataset comprises 11 imagery classes (5 Spanish vowels and 6 directional commands) acquired using 6-channel EEG at 1024 Hz with preprocessed data (bandpass filtered 2-45 Hz). This BIDS-reformatted derivative is based on the original data described in Pressel et al. 2016 and supports brain-computer interface research and motor imagery classification studies.
This dataset comprises preprocessed EEG recordings from 8 healthy subjects performing imagined speech tasks involving three vowel phonemes (a, i, u). Participants received auditory and visual cues to imagine speaking each vowel, with 64-channel EEG data acquired at 256 Hz. The dataset includes 2,400 trials generating 7,200 overlapping 2-second epochs (8 subjects × 300 trials × 3 overlapping epochs per trial) analyzed using Riemannian manifold-based feature extraction and relevance vector machine classification for brain-computer interface applications, achieving approximately 49% mean accuracy across a 10-fold cross-validation scheme.
…an important treatment constituent for chronic pain. To unravel the neuronal influence…
This dataset comprises 128-channel EEG recordings from healthy, neurotypical adults listening to naturalistic speech segments from an audiobook version of 'The Old Man and the Sea'. The data were originally collected across two studies investigating cortical entrainment to speech and semantic processing during continuous narrative listening. Accompanying audio stimuli and forced-aligned phoneme/word timing annotations are included to support neurolinguistic analyses.
…memory with task-independent semi-chronic closed-loop direct brain stimulation and…
A large-scale multi-laboratory replication study (N=356 participants across 9 UK institutions) investigating probabilistic prediction in language comprehension using event-related potentials. Participants read sentences word-by-word while EEG was recorded, with critical manipulations of indefinite articles (a/an) preceding expected or unexpected nouns. The study challenges strong prediction accounts by demonstrating reliable N400 effects on target nouns but not on preceding articles, contrary to the original DeLong et al. (2005) findings.
…using the Functional Assessment of Chronic Fatigue Illness Therapy – Fatigue Subscale (FACIT…