Showing 10 of 764 datasets · page 33 of 77
This dataset contains magnetoencephalography (MEG) recordings from a single infant subject participating in a study of auditory processing and phoneme learning, part of research investigating risk factors for dyslexia during sensitive periods of language development. The data support investigations into neural theta sampling and auditory deficits in infants at risk for dyslexia.
This dataset contains intracranial electrocorticography (ECoG) recordings of Cortico-Cortical Evoked Potentials (CCEPs) from 74 patients aged 4-51 years, collected during clinical single pulse electrical stimulation (SPES) as part of the RESPect epilepsy surgery patient registry at UMC Utrecht. The data were used to study the developmental trajectory of neural transmission speed across the human lifespan. Electrode positions were localized using Freesurfer with Destrieux atlas labeling and mapped to MNI152 space.
This dataset comprises EEG recordings from twenty participants performing a temporal scaling task involving learning of three temporal intervals. Two interleaved subtasks were used: a Production task, in which participants reproduced a short, medium, or long interval, and a Perception task, in which participants judged whether a computer-generated interval matched the target duration. Visual feedback (correct/incorrect) was provided after each trial in both tasks, enabling investigation of neural correlates of temporal interval learning and evaluation.
This dataset provides bimodal EEG and fMRI recordings acquired non-simultaneously during an inner-speech production task. Four healthy, right-handed participants silently produced eight words drawn from two semantic categories (social and numerical) across multiple trials. The dataset aims to support the development of speech prostheses and brain-computer interfaces by enabling multimodal fusion of high temporal (EEG) and high spatial (fMRI) resolution neuroimaging data.
This dataset comprises intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with subdural grid and depth electrodes, collected while they viewed grayscale and color visual stimuli varying in spatial and temporal properties. The recordings were designed to characterize temporal and spatial dynamics of neural responses in human visual cortex, including population receptive field mapping and category-selective responses. Pre-implantation T1-weighted MRI scans are also included for electrode localization. The dataset supports multiple published studies on visual cortical dynamics and adaptation.
This dataset presents EEG recordings from a randomized controlled trial examining the effects of forward and backward working memory span training on working memory performance. Event-related potentials were collected at pre-, mid-, and post-test sessions while participants performed a change detection task with varying target and distractor conditions. The study compares behavioral and ERP indices of working memory maintenance and interference control across training groups.
This dataset contains behavioral and EEG data from twenty-one participants who learned to perform two drumming sequences (AABA and AAABAA) at three tempos (60, 100, and 150 bpm) using keyboard responses. Trial-by-trial visual feedback indicated timing accuracy relative to an adaptive response window, allowing investigation of motor learning and timing control. The dataset includes detailed event coding for stimulus conditions and feedback types across trials.
This dataset comprises EEG recordings from 57 obese and non-obese preadolescents performing a stop-signal task designed to assess inhibitory control. Data were collected at the Arkansas Children Nutrition Center using a 128-channel Geodesic Hydrocell Sensor Net system, aiming to investigate event-related potential differences associated with obesity in preteens.
This dataset contains EEG recordings from twelve participants who each completed three probabilistic learning tasks involving cue-response mappings with varying feedback validity (low, high, and mixed value cues). The study investigates how average task value modulates learning and neural correlates of feedback processing. Data were collected to test computational and physiological hypotheses regarding reinforcement learning and reward valuation.
This dataset contains electrophysiological recordings from rat somatosensory cortex obtained using DISC (Diamond-based Implantable Sensing probes/electrodes) for validation purposes. Anesthetized rats received whisker stimulation via an air puffer, with task labels corresponding to the specific whisker stimulated. The dataset supports validation of DISC neural recording technology in a rodent somatosensory model.