Showing 10 of 760 datasets · page 36 of 76
BRAR_NQ is a neuroimaging dataset investigating the neural correlates of Quranic recitation through EEG recordings. The dataset explores the brain's reward and anti-reward circuitry in response to melodic recitation of the Noble Quran, combining electroencephalography to map neural activity patterns associated with this unique auditory-linguistic stimulus.
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 comprises 128-channel EEG recordings from 19 patients with psychosis and 24 healthy controls performing the Ultimatum Game at Fribourg University. Participants engaged in both proposer and responder roles across three blocks of 30 trials each, providing neurophysiological insights into decision-making and social cognition in schizophrenia spectrum disorders.
This dataset comprises EEG recordings from participants performing alternating meditation and active thinking tasks. Data were collected at the Meditation Research Institute in Rishikesh, India, with participants completing four blocks of either breath-counting meditation, tradition-specific meditation, or active thinking tasks with eyes closed. The dataset supports investigation of neural correlates of meditative states versus cognitively engaged thinking.
This dataset comprises resting-state EEG recordings from two independently collected samples of healthy controls and first-episode psychosis (FEP) individuals. EEG data were acquired using a 60-channel low-impedance 10-10 system cap during 5-minute resting periods. The second sample excludes subjects overlapping with the first acquisition to avoid redundancy. Clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures are provided in the phenotype directory.
This dataset comprises resting-state EEG recordings from individuals with first-episode psychosis (FEP) and healthy controls, collected using a 60-channel 10-10 system montage. This is the first of two independently collected samples, containing 5-minute resting EEG recordings acquired with an Elekta Neuromag Vectorview system, accompanied by comprehensive clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures. This resource enables investigation of cortical network abnormalities and neurophysiological markers associated with early psychotic illness.
A magnetoencephalography dataset from 13 participants performing audiovisual multisensory tasks, including causality judgment, temporal order judgment, and unimodal localizer conditions. The dataset comprises 1500 trials of audiovisual sequences with simultaneous behavioral recordings and structural MRI, designed to investigate neural mechanisms of multisensory correlation computations using time-resolved encoding models.
This dataset contains electroencephalographic (EEG) recordings from 24 participants performing object classification and passive viewing tasks while viewing static images of objects with varying capacities for movement and aliveness. The study investigates how the human brain represents movement as a fundamental organizational principle in visual object processing, independent of animacy. This is Experiment 3 (EEG: movement) from a multi-experiment study. Raw EEG data in BrainVision format, preprocessed derivatives in EEGlab and cosmoMVPA formats, analysis scripts, stimuli, and decoding results are provided. Note: Analysis code requires both Experiment 2 and Experiment 3 datasets to be downloaded for full replication of analyses.
This dataset contains electroencephalographic (EEG) recordings from 24 participants performing object classification and passive viewing tasks in Experiment 1 of a study investigating how the brain represents object movement and aliveness. Participants classified static images of objects with varying capacities for movement (moving/non-moving) and animacy (alive/not alive) as either alive or capable of movement. The study demonstrates that movement capacity is a significant organizational principle in visual object representation, independent of animacy.
A multicenter interictal intracranial electroencephalography (iEEG) dataset from patients with epilepsy, comprising de-identified recordings from six clinical centers: the National Institutes of Health, Johns Hopkins Hospital, University of Miami Florida Jackson Memorial Hospital, Kansas University Medical Center, University of Pittsburgh Medical Center, and Cleveland Clinic (with data from the latter three centers restricted due to institutional data sharing limitations). The dataset includes annotations of sleep and awake states and features processed derivatives including source-sink connectivity analysis and high-frequency oscillation detection. This resource supports investigation of electrophysiological markers of the epileptogenic zone.