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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,805 datasets
Electrophysiological recordings of individual thalamic neurons in awake mice during repeated formalin-induced nociception, updated in 2020 by Yeowool Huh. The data tracks firing rate changes in the same neurons across two sessions separated by a one-week interval.
Comprising functional Magnetic Resonance Imaging (fMRI) data from a study examining the neuroanatomical networks involved in semantic predictive processing. The research used a relatedness proportion semantic priming paradigm to manipulate prediction probabilities while holding local semantic context constant. The data was collected by author Kirsten Weber and was last updated in June 2020.
A collection of neural and behavioral recordings from tethered flying Drosophila, identifying a descending neuron correlated with rapid steering maneuvers. The data was generated by Bettina Schnell using two-photon calcium imaging and electrophysiological recordings. It provides an entry point for studying the neural circuits controlling spontaneous and visually elicited flight saccades.
Encompassing functional magnetic resonance imaging (fMRI) data from six awake, unrestrained dogs. It was used to identify a face-selective region in the canine temporal lobe that responds more to human and dog faces than to objects. The data supports research on cross-species neural specialization for face processing.
A collection of single-trial population spike trains from salamander retinal ganglion cells recorded during natural image stimulation. It was created by Arno Onken and published in 2020 to investigate tensor factorization methods for analyzing spatial and temporal neural population codes. The data was used to demonstrate that spike timing, particularly first-spike latencies, carries significant information about image features.
2020 fMRI study by Matthias Schurz investigates self-projection and simulation during mentalizing. Participants predicted color preferences for similar (student) and dissimilar (retiree) others, with color-pairs manipulated to be within the same category or different categories. The dataset includes brain activation data from cortical midline, lateral frontal, and dorsal parietal areas.
Data from a study of 15 patients with chronic radicular neuropathic pain, analyzing functional brain connectivity changes after THC administration. The dataset includes pain assessments and resting-state fMRI scans from a randomized, double-blind, placebo-controlled trial. It examines connectivity between the anterior cingulate cortex (ACC), sensorimotor cortex, and dorsolateral prefrontal cortex (DLPFC).
Aggregating functional MRI and pupil diameter measurements from a human study investigating neuromodulatory control of entropy in neural state models. The data was authored by Timothy H. Muller and published via Dryad in 2020 under a CC0 1.0 license.
Encompassing biomechanical measurements from a study investigating the relationship between breathing movement and postural sway during cognitive tasks. It includes center of pressure (COP) data from a force plate, 3D motion capture of leg joints (ankle, knee, hip), and breathing movement measurements under quiet standing and mental arithmetic conditions. The analysis found a significant positive correlation (r = 0.75) between the change ratio of breathing amplitude and COP amplitude.
A 3D electron microscopy analysis of layer 1 neuropil ultrastructure and synaptic connectivity in aged versus adult mice. The dataset contains dense reconstructions of axons, dendrites, and synapses from serial EM images, showing compensatory changes in synapse size and excitatory/inhibitory balance during aging. It was created by Corrado Cali and published in 2020.
Neuroimaging data from 173 Chinese subjects aged 21 and above, examining functional and structural reorganization of the prefrontal cortex in aging. The dataset includes structural MRI, resting-state fMRI, and high angular resolution diffusion imaging (HARDI) measurements. It was created by Annie Lee and published in 2020.
Cynomolgus monkeys were used to study quantitative electroencephalography (qEEG) power band changes induced by scopolamine and the effects of the M1 receptor modulator TAK-071. The dataset contains measurements of theta, delta, and alpha power bands under various drug administration conditions, including scopolamine, TAK-071, donepezil, and xanomeline. The research was conducted by Emi Kurimoto and published in 2020 to identify translational biomarkers for cognitive drug evaluation.
Andrea Stocco's dataset documents the first non-invasive brain-to-brain interface experiment using a 20 Questions game paradigm. It contains data from ten participants forming five inquirer-respondent pairs, who used EEG and TMS for real-time collaborative problem-solving. The data supports analysis of accuracy in identifying mystery items compared to a sham control condition.
39 subjects with minimal to severe depression symptoms performed a computer-simulated driving task using a joystick. The study recorded continuous joystick actions to measure approach and avoidance tendencies in relation to cognitive control. Data was collected by He Huang and published in 2020.
300 taxa were scored for 233 morphological characters, resulting in 66,645 observations. This dataset supports the first combined morphological and molecular phylogenetic analysis of the megadiverse Chalcidoidea superfamily, covering 22 families and 268 genera. The analysis was conducted by John M. Heraty and published in 2020.
Dryad hosts data from intracellular electrode recordings of haltere primary afferent neurons in flies during a range of haltere motions. The dataset captures spike timing activity of individual neurons in response to displacement, supporting a proposed mechanism for encoding three-dimensional movements. It was authored by Alexandra M. Yarger and last updated in June 2020.
Dryad hosts a dataset from a study by J. Brendan Ritchie, published in 2020, investigating the relationship between neural representations and behavior. The data contains magnetoencephalography (MEG) recordings used for multivariate pattern analysis to decode object categories and correlate neural activity distances with reaction times. It tests the hypothesis that perceptual decision-making is linked to the distance of neural patterns from a categorical boundary during peak decodability.
Electrophysiology data from trained rats, contributed by author Yingxue Wang in 2020, investigates internally generated neuronal sequences. The dataset includes tags for Episodic Memory, Rat, Electrophysiology, Hippocampus, and Oscillations. It explores the relationship between sharp-wave sequences, theta sequences, and memory impairment.
2020 fMRI data from a study dissociating evidence accumulation and choice maintenance in human perceptual decision making. The dataset contains brain activation patterns from participants performing a face/house discrimination task under delayed and self-paced response conditions. It was created by Mads Lund Pedersen and published under a CC0 license.
A collection of high-resolution multielectrode array recordings and computational network models investigating the initiation of network bursts in spontaneously active neuronal cultures. The data was generated by Davide Lonardoni and published in 2020 to analyze functional neuronal communities and recurrent local connections that drive coordinated spiking activity. It includes analysis of AMPA, NMDA, and GABA currents in shaping network burst dynamics.