A selection of six data set collections from different animal species, brain regions, neuron types, and visualization methods. The DIADEM data sets were compiled during the DIADEM Challenge, a competition to raise awareness of the problem of automated neuronal reconstruction, spur development of automated and semi-automated algorithms, and to gauge the state of the art in the field. The DIADEM data underwent extensive curation, including quality control, metadata annotation, and format standardization, to focus the challenge on the most substantial technical obstacles. This data set package is freely released to train, test, and aid development of automated reconstruction algorithms.
An integrated environment for safely archiving, querying and visualizing imaging data. LONI IDA provides a large-scale archive for neuroimaging, genetics, and phenomic datasets which serves the major neuro-imaging programs.
This compilation of neural data aggregates existing R-fMRI data to provide an initial demonstration of the ability to pool functional data across centers. The 1000 Functional Connectomes dataset aims to (i) establish the presence of a universal functional architecture in the brain, consistently detectable across centers; (ii) investigate the influence of center on R-fMRI measures; (iii) explore the potential impact of demographic variables on R-fMRI measures; and (iv) demonstrate the use of an intersubject variance–based method for identifying putative boundaries between functional networks.
Consists of a dense and consistent map of 358 cortical landmarks. Each DICCCOL is defined by group-wise consistent white-matter fiber connection patterns derived from diffusion tensor imaging (DTI) data. These 358 landmarks are remarkably reproducible over more than one hundred human brains and possess accurate intrinsically established structural and functional cross-subject correspondences validated by large-scale functional magnetic resonance imaging data. In particular, these 358 cortical landmarks can be accurately and efficiently predicted in a new single brain with DTI data. Thus, this set of 358 DICCCOL landmarks comprehensively encodes the common structural and functional cortical architectures, providing opportunities for many applications in brain science including mapping human brain connectomes.
Gathers data concerning membrane channels, receptor and neurotransmitters expressed in specific types of cells. CellPropDB is a repository of published research information related to three neuronal membrane properties: voltage gated conductances, neurotransmitter receptors and neurotransmitter substances. The database provides this information with reference to a neuron as a whole. It can include other cells types of data such as glia, muscle, or gland cells.
Aims to assists research on drugs for the treatment of different neurological disorders. BrainPharm is database developed to (1) store research-information on drugs for the treatment of different neurological disorders, (2) identify agents that act on neuronal receptors and (3) differentiate between signal transduction pathways in the normal and diseased brain. It focuses on the management of knowledge associated with neurological disorders with emphasis on Alzheimer’s Disease, Parkinson’s Disease and epilepsy.
Provides an integrative model of the intrinsic hippocampal theta rhythm. This model can be used to quantify the relative contributions of each of generators to theta power, across different cholinergic states. It can be used to determine the role of short-term synaptic depression at the recurrent synapses in CA3. The database was built by matching experimental data, synaptic current dynamics, network spatial connectivity patterns, and short-term synaptic plasticity.
A centrally curated inventory of digitally reconstructed neurons associated with peer-reviewed publications. NeuroMorpho.Org contains contributions from over 100 laboratories worldwide and is continuously updated as new morphological reconstructions are collected, published, and shared. The goal of NeuroMorpho.Org is to provide dense coverage of available reconstruction data for the neuroscience community.
An open science resource for functional and structural connectomics. The CoRR repository allows the: (i) establishment of test-retest reliability and reproducibility for commonly used MR-based connectome metrics, determination of the range of variation in the reliability and reproducibility of these metrics across imaging sites and retest study designs, creation of a standard/benchmark test-retest dataset for the evaluation of novel metrics.
Focuses on the development of an XML (eXtensible Markup Language) based description language that provides a common data format for defining and exchanging descriptions of neuronal cell and network models. The current scope of NeuroML focuses on models which are based on the biophysical and anatomical properties of real neurons, i.e. which include informations of the detailed neuronal morphologies, the membrane conductance which underly action potential generation (conductance based models), and which are based on known anatomical connectivity. The NeuroML model description language is being developed in Levels, where each Level concentrates on a particular biophysical scale.
Gathers statements collated from the literature on connectivity in the macaque brain. CoCoMac is a macaque macro-connectivity database containing data that come from literature in which neuronal tract-tracing experiments are described. The data stored in the database can serve as the basis for large-scale topological macro-connection matrices (i.e., “graphs”) of the macaque brain.
Provides a knowledge base for cognitive neuroscience. Cognitive Atlas aims to provide such a resource that reflects the views of the entire community. It can become the standard ontology for mental function. The database provides the basic functionality for specification of knowledge about cognitive processes and tasks. It uses standard mechanisms to enable programmatic access to the database which allows other sites or databases to use the content in an automated manner.
Provides a collection of molecular brain neoplasia data. REMBRANDT supports multiple facets of clinical and molecular research, discovery, and hypothesis generation. It consists of a platform that delivers biological information related to primary brain tumors. This database can assist researchers to offer a biologically oriented therapy to their patients and tailored to their specific needs.
Allows visualization, simulation, dissemination and collaborative development of standardized models of neurons and circuits. Open Source Brain is an open source web-based resource that stores published neuronal and circuit models from multiple brain regions including the neocortex, cerebellum and hippocampus. It also provides tools to visualize, analyze and simulate models through standard web browsers. Registered users can manage multiple simulations and perform analyses on them.
Allows users to study human connectomes. m2g is an online resource that offers possibility to download data about diffusion magnetic resonance imaging (MRI). Users can find on this platform a list of links to several tools.
Allows users to get several types of information on the human brain. HCP database is an online database that aims to supply a compilation of neural data coupled to graphical user interface to navigate these data. This resource includes brain image and results volumes obtained from the advanced Siemens 3T Connectom imaging system based at MGH as well as data obtained using conventional imaging systems.
An interactive web-based platform for brain connectivity matrix sharing and analysis. UMCD enables users to download connectivity matrices shared by other users, upload matrices from their own published studies, or select a specific matrix and perform a real-time graph theory-based analysis and visualization of network properties. The data shared on the UMCD span a broad spectrum of functional and structural brain connectivity information from humans across the entire age range (fetal to age 89), representing an array of different neuropsychiatric and neurodegenerative disease populations (autism spectrum disorder, ADHD, and APOE-4 carriers). An analysis combining 7 different datasets shared on the site illustrates the diversity of the data and the potential for yielding deeper insight by assessing new connectivity matrices with respect to population-wide network properties represented in the UMCD.
Enables users to relate the drug information from BrainPharm to the publication information stored in Semantic Web Applications in Neuromedicine (SWAN). AlzPharm provides information about the individual datasets, as well as a simple text field for scientists to enter a drug name for finding the publications in SWAN that mention the molecular targets of interest.
Permits users to share functional neuroimaging data. fMRIDC gives access to a collection of functional magnetic resonance imaging (fMRI) data aiming to develop and evaluate methods, confirm hypotheses and conduct additional investigation. It aims to improve the understanding of cognitive function, to simplify involvement of scientists to share their expertise in solving the riddles of the brain functioning.