76 results for "neurophysiology" · page 5 of 8 · ranked by relevance
An electroencephalography (EEG) dataset acquired using BioSemi equipment to investigate implicit learning processes. This raw neuroimaging dataset contains EEG recordings organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating standardized analysis and sharing of electrophysiological data.
This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
This dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
A large-scale EEG dataset comprising recordings from 7,933 participants across India and Tanzania, collected through field-based research programs with nonspecialist teams. The dataset includes electroencephalographic recordings alongside demographic metadata (age, sex, income) and mental health assessments (Mental Health Quotient scores). Data quality was validated using PREP and FASTER methods and demonstrated comparability to controlled laboratory benchmarks, establishing the feasibility of cost-effective, high-throughput EEG data collection in diverse, low- and middle-income country settings.
This dataset comprises psychophysiological and psychometric data from 76 Mexican children with reading or mathematics learning difficulties, collected to evaluate skill improvements through the Smartick online learning platform. Participants underwent EEG recordings during resting state and task-specific conditions (reading comprehension or arithmetic operations) at baseline and after a three-month intervention period, with parallel psychometric assessments including spelling, reading speed, comprehension, mathematical knowledge, selective attention, and IQ measures.
This dataset comprises EEG recordings from a single healthy participant exposed to multisensory stimulation at gamma frequencies (40Hz). The experiment investigates brain entrainment responses to three stimulus modalities: auditory (5kHz carrier amplitude-modulated at 40Hz), visual (20Hz flickering white LED array), and combined audio-visual stimulation. Each stimulus epoch lasted 40 seconds and was recorded using 19 monopolar EEG channels at 500Hz sampling rate. The study aims to characterize synchronized brain oscillations induced by different sensory modalities, with potential implications for understanding gamma entrainment mechanisms relevant to neurodegenerative diseases such as Alzheimer's disease.
This multimodal dataset comprises simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adult participants during two experimental conditions: naturalistic smartphone interaction and standardized video viewing. Hardware-based TTL synchronization enables precise temporal alignment across all physiological modalities, facilitating investigation of neural and physiological responses to digital device interaction.
2417 clinical EEG recordings, 19-ch 10-20 montage, normal/abnormal labels. EDF format. Zenodo DOI:10.5281/zenodo.10909103
This dataset comprises concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.