Loading...
Loading...
Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,805 datasets
A 2020 dataset from Tobias Kühn investigates the locking of correlated neural spiking to beta-oscillations in cortical networks. It contains analytical results from mean-field and linear response theory applied to binary recurrent random networks. The data models how pairwise zero-time-lag covariances and mean activities are modulated by a periodic driving stimulus.
Featuring research data on spinal neuron and hindlimb muscle development during early metamorphosis in Xenopus. It examines the expression of Islet1/2, choline acetyltransferase, vesicular acetylcholine transporter, and glutamate receptors. The dataset is associated with a study demonstrating a transient, non-cholinergic neuromuscular signaling phase.
Featuring resting-state functional connectivity MRI data from 18 healthy human subjects and 18 anesthetized rats. It includes correlation analyses with and without global signal correction and spatial smoothing, focusing on the properties of negative correlations. The data was generated to investigate the physiological basis of negative correlations in brain connectivity.
Dryad hosts data from a study on human brain activation changes after exposure to a 60 Hz, 3000 µT magnetic field. The dataset includes fMRI measurements from two cohorts performing motor and cognitive tasks, with pilot results from 9 subjects and a full study involving 20 subjects for a finger-tapping task and 21 for a mental rotation task. The research, authored by Alexandre Legros, was published in 2020.
Comprising simulation results from a multi-scale network model of vision-related areas in macaque cortex, employing mean-field reduction to incorporate activity constraints. The model was developed by Jannis Schuecker and published in 2020, exploring connectivity refinements to achieve realistic layer- and area-specific neural activity.
Aggregating simulation data from a layered microcircuit model of the primary visual cortex (V1), composed of leaky integrate-and-fire neurons. The model exhibits low- and high-γ oscillations across all neural populations, generated from connectivity based on anatomical and electrophysiological studies. The data supports the systematic identification of anatomical circuits underlying oscillation generation.
Data from a 2020 study by Guido Marco Cicchini investigates the functional role of serial dependence in perception. It supports a formal model of optimal serial dependence, testing effects based on stimulus reliability and similarity between successive stimuli. The dataset is associated with concepts of optimal behavior, Bayesian inference, and the Kalman filter.
Dryad hosts a neuroimaging dataset from a study of 41 participants, including 20 Parkinson's disease patients and 21 healthy controls. The data comprises high-resolution T1-weighted and 60-direction diffusion-weighted 3T MRI images. It includes derived volumetric and diffusion property measures for cortical, deep grey matter, and white matter regions.
A 3D atlas of gonadotropin-releasing hormone (GnRH) neurons from the largest series of human fetuses studied to date. The data provides a chronological and quantitative analysis of GnRH neuron origins, differentiation, and migration during the first trimester of gestation. It reveals a higher neuron count than previously thought and their presence in extrahypothalamic brain regions.
Dryad hosts EEG data from a study investigating dissociable neural responses to 3-Hz amplitude-modulated (AM) and frequency-modulated (FM) narrow-band noises. The dataset contains single-trial neural recordings analyzed for spectral amplitude, phase delay, and classification performance. Author Molly J. Henry published the data in 2020.
Diffusion tensor MRI-derived anisotropy index values from over 20,000 voxels registered into a 3D segmented rat atlas covering 150 brain areas. It was generated from a study using a fluid percussion model to concuss the right caudal or rostral cortices in Sprague Dawley rats, with data acquired five days post-injury. The research was conducted by Praveen Kulkarni and published in 2020.
Electrophysiological recordings from mouse LGN neurons under visual stimulation paradigms. The data includes properties such as centre-surround organization, receptive field size, spontaneous firing rate, and linearity of spatial summation. It also captures temporal frequency tuning features like 'high-pass' and 'low-pass' cells, contrast gain, and a small proportion of direction/orientation selective cells.
Data from a study by Guilherman Testa-Silva compares synaptic transmission properties between adult human and mouse temporal cortex neurons. The dataset contains electrophysiological recordings from connected pairs of pyramidal neurons, probing use-dependent plasticity and information transfer. It was published in 2020.
Aggregating fMRI data from a double-blind sham-controlled pilot trial with 11 patients (6 women, 5 men) with idiopathic Parkinson Disease. It captures resting-state functional connectivity (RSFC) before and after effective or sham Automatic Mechanical Peripheral Stimulation (AMPS), focusing on seed ROIs in basal ganglia, sensory-motor cortices, supplementary motor areas, and cerebellum.
A collection of real-time functional magnetic resonance imaging (rtfMRI) data used to validate an online spatial normalization method. The method combines a novel affine registration (PA-GN(β) AFR) and nonlinear registration (DCT-based NLR) for fast processing within a single repetition time (TR). The data was used to demonstrate brain activation in rtfMRI and confirm the accuracy of the proposed normalization technique.
Comprising magnetoencephalography (MEG) data from 27 adult participants (13 with ASD, 14 controls) performing a motion direction discrimination task. It examines the relationship between gamma-band neural activity and varying levels of visual motion coherence.
Research data from a 2020 study by Jolanda Jetten investigates the relationship between membership in multiple important social groups and personal self-esteem across diverse populations. The dataset supports analyses of longitudinal effects and mediation by collective self-esteem. Specific row counts, column details, and sample data are not provided in the input.
144 cerebellar nuclei neurons from adult ketamine-xylazine anesthetized mice were recorded in vivo, with properties including membrane resistance, capacitance, spike half-width, and firing frequency. The dataset contains measurements from 88 regularly firing and 56 spontaneously bursting neurons, collected by Cathrin B. Canto and published in 2020. It provides a continuum of physiological properties for computational modeling of cerebellar motor learning.
A collection of neuroimaging data from 43 healthy subjects with a mean age of 26.3 years. It includes diffusion tensor imaging and arterial spin labeling measurements to analyze cerebral blood flow and its relation to white matter microstructure. The analysis was performed using tract-based spatial statistics across subjects and white matter tracts.
Jacques Jonas and colleagues recorded local neurophysiological activity from 1,678 contact electrodes implanted in the ventral occipito-temporal cortex of 28 epileptic patients. The dataset provides direct neural measures of face-selective responses, offering evidence for regional specialization previously observed in neuroimaging.