Loading...
Loading...
Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,805 datasets
Data from a study using magnetoencephalography (MEG) and continuous theta burst stimulation (cTBS) to investigate the causal role of the precuneus in network-wide theta and gamma oscillatory activity during complex memory retrieval. The dataset, authored by Melissa Hebscher and released in 2020, originates from research conducted in Toronto. It provides measurements of brain activity and stimulation effects related to memory processes.
Comprising direct neural recordings from 37 patients to map selective responses to visual letters and words in the ventral occipito-temporal cortex. It classifies neural activity at three levels of word processing: letter, prelexical, and lexical. The data was collected using intracerebral recordings during visual stimulus presentation.
Electrophysiological recordings from mouse amygdala neurons following chronic or acute administration of dexamethasone. It investigates the effects of the glucocorticoid on glutamate release, GABA release, and GABAergic neuron spiking. The data was generated by Guang-Yan Wang and published in 2020.
Functional MRI data from seven infant macaque monkeys scanned repeatedly over an age range of 102 to 1431 days. The dataset includes BOLD responses to large rotating checkerboard stimuli and Glass pattern stimuli, analyzed with GLM and multivoxel pattern analysis (MVPA) methods. It focuses on contrasts such as Glass pattern present/absent and static/dynamic presentation across visual areas V1, V4, and MT-V5.
Featuring concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) recordings from participants viewing bistable stimuli, replay stimuli, or fixation. It was created by Georg Schauer and published in 2020 to investigate the causal role of the right parietal cortex in perceptual switching. The data is combined with individual structural MRI scans for source analysis.
A continuous differential model simulates the aggregation dynamics of Orb2A and Orb2B protein isoforms, which are implicated in long-term memory formation. The model, developed by Michele Sanguanini, provides a framework for studying prion-like CPEB proteins in synaptic plasticity. It integrates translation- and protein aggregation-dependent phenomena to explore their role in synaptic facilitation rules.
This dataset contains results from a biologically realistic network simulation of integrate-and-fire neurons using Mirrored STDP learning rules. The research by Kendra S. Burbank demonstrates the network's ability to learn receptive fields resembling those in visual area V1 when trained on whitened natural image patches. The data was published in 2020 under a CC0 license.
Comprising spike train recordings from single neurons and pairs of neurons in the dorsal anterior cingulate cortex (dACC) of Rhesus monkeys performing a behavioral adaptation task. The data was used to analyze spatiotemporal spike coding in relation to feedback events and behavioral response times. The analysis identified optimal decoding time scales between 70–200 ms.
Featuring resting-state functional magnetic resonance imaging data from 110 participants, including 22 first-episode psychosis patients, 41 individuals at ultra-high-risk for psychosis, and 47 healthy controls. It was collected to investigate subregion-specific functional connectivity of the superior temporal gyrus.
Encompassing simulation data created to assess the power of different fMRI stimulation protocols and analysis assumptions in neonates. The research found that block-durations at the lower range (full on/off cycle duration 25-30s) are most powerful for neonatal fMRI and that using an age-appropriate hemodynamic response function (HRF) is critical. The dataset was authored by Rhodri Cusack and last updated in June 2020.
Experimental data from a 2020 study investigates the role of Allatostatin A (AstA) signaling in Drosophila, linking it to feeding reduction and sleep promotion. The research identifies PLP neurons and enteroendocrine cells as key mediators and demonstrates modulation by the circadian neuropeptide PDF. The dataset includes associated tags such as Brain Gut Peptide, Midgut, and Galanin Signalling.
2020 study by Lena Lim includes fMRI data from 67 participants: 21 with childhood abuse, 19 psychiatric controls, and 27 healthy controls. The dataset captures neurofunctional activation during a parametric sustained attention task, with behavioral metrics like omission errors. It provides evidence of reduced activation in key attention regions for the abuse-exposed group.
20 healthy right-handed subjects performed the Iowa Gambling Task while their cerebral activity was recorded by electroencephalography. The dataset distinguishes between 9 subjects who developed a Favorable strategy and 11 who remained Undecided, capturing neurophysiological correlates of decision-making. It includes EEG data from before deck selection and during feedback processing, with identified differences in P200, P300, and medial frontal gyrus activity.
Experimental data from engineered rat cortical neurons used to study the role of modular topology in gating neural activity. The research demonstrates how connected modules support conditional propagation, long delays, and propagation asymmetry, with findings validated by blocking inhibition. The dataset was authored by Mark Shein-Idelson and last updated in June 2020.
Functional MRI and neuropsychological test data from 29 healthy male subjects before and after an eight-week period of induced mild thyrotoxicosis. It was collected to evaluate the effects of thyroid hormone levels on working memory performance and brain activation patterns. The data includes results from an n-back working memory task and assessments like the Attention Network Task and auditory verbal learning test.
A collection of functional magnetic resonance imaging (fMRI) data from participants performing a memory encoding task, with performance assessed via a subsequent surprise memory test. It was used to investigate time-varying functional connectivity patterns across the human brain in 30-40 second periods. The author is Ruedeerat Keerativittayayut, and the data was last updated in June 2020.
FMRI data from a study of voice gender perception, involving 32 male-to-female gender dysphoric individuals, 20 non-dysphoric men, and 19 non-dysphoric women. Participants categorized 240 voice stimuli modified in semitone steps. The study investigated neural correlates in brain regions like the medial prefrontal gyrus and insula.
This dataset supports visualization methods for analyzing ionic current dynamics in conductance-based neural models. It contains data from six example bursting model neurons with similar activity but up to a 3-fold difference in conductance densities. The data illustrates changes in membrane potential waveforms and current contributions under perturbations.
Data from Weigang Pan's 2020 study uses resting-state fMRI to investigate associations between emotional intelligence (EI) and the amplitude of low-frequency fluctuations (ALFFs) in a large sample of young, healthy adults. The dataset provides neuroimaging evidence linking EI to activity in the social emotional processing and cognitive control brain networks.
This dataset provides empirical evidence for a quantum Zeno effect in human decision-making processes. It was created by James M. Yearsley and published in 2020 to support the application of quantum principles in decision theory.