Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
[ dataset comprises EEG recordings from 18 subjects performing a gait adaptation task on a treadmill. Participants were instructed to synchronize their stepping with an auditory pacing stimulus and adapt their gait parameters (step length and rate) in response to tempo shifts. The dataset provides multimodal neurophysiological data during dynamic motor behavior, enabling investigation of neural mechanisms underlying auditory-motor coupling and gait adaptation.
…dynamic aversive stimuli at multiple spatial scales, from the macroscopic EEG to…
This dataset contains EEG recordings from an auditory oddball paradigm designed to investigate how personalized smartphone notification sounds bias auditory salience processing at different neural processing stages. The study examines attentional and perceptual effects of self-relevant notification stimuli compared to standard oddball tones. This resource enables analysis of event-related potentials associated with salience detection and personalized auditory cues.
…analyzed=[0.1, 40.0] Hz Spatial filters: CNN 8x1 spatial convolution…
This dataset comprises functional near-infrared spectroscopy (fNIRS) recordings from human auditory cortex in individuals with subjective tinnitus and matched controls. The study investigates the relationship between subjective tinnitus severity and objective neurophysiological changes in auditory cortex function, utilizing a NIRx NIRSport2 system for non-invasive optical neuroimaging.
…Participants completed 6 questionnaires assessing demographics, personality (16PF5), cognitive traits, spatial abilities…
This dataset comprises EEG recordings from 24 healthy participants performing a multisensory detection task designed to investigate the dynamics of neural activity during selective attention and sensory processing. Participants detected audiovisual targets embedded in simultaneous noise, enabling investigation of modality-specific attention mechanisms and their relationship to electrophysiological spectral properties.
This dataset contains EEG/ERP data from an experiment examining sensitivity to semantic and syntactic violations in deaf readers. Participants read sentences presented word-by-word (RSVP) that contained subject-verb agreement violations, semantic violations, combined violations, word-order violations, or correct control sentences, while EEG was recorded. The study aims to characterize how deaf readers process linguistic anomalies at the neural level.
…language who reported having normal hearing and no history of neurological disorders…