100 results for "brain maturation" · page 7 of 10 · ranked by relevance
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
This multimodal dataset contains fMRI and EEG data from 69 participants examining the role of REM sleep in the neural differentiation of hippocampal memory representations. Each participant completed three fMRI scan sessions and one EEG session, during which either nap-based sleep or quiet wakefulness data were recorded depending on experimental condition. The dataset supports investigation of how sleep-related neural processes contribute to memory consolidation and differentiation in the hippocampus.
…Raw data are BrainVision (.vhdr/.vmrk/.eeg). Task: visual Session: ses-01…
This dataset contains magnetoencephalography (MEG) and structural magnetic resonance imaging (MRI) data from adolescent participants with major depressive disorder and healthy controls during a monetary gambling mood induction task and resting state. The study investigates electrophysiological correlates of mood and reward dynamics in human adolescents through pre-registered analyses of task-based and resting-state neuroimaging data.
…Surface electroencephalography is a standard and noninvasive way to measure electrical brain…
…EEG was recorded with a 64-channel BrainVision cap. Resting-state EEG…
A synchronized multimodal neuroimaging dataset containing concurrent fMRI and MEG recordings from 12 Mandarin Chinese speakers during naturalistic story listening, supplemented with high-resolution structural imaging, diffusion MRI, and resting-state fMRI. The dataset includes rich linguistic annotations of stimuli encompassing word frequencies, syntactic structures, temporal alignments, and embeddings from multiple pre-trained language models, enabling comprehensive investigation of neural mechanisms underlying language processing.
The Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.
…brain-computer interface, motor imagery, EEG, Riemannian geometry, asynchronous BCI, brain-switch…