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Ultrahigh resolution T1-weighted whole brain MR dataset T1-weighted MR data acquired using prospective motion correction at an ultrahigh isotropic resolution of 250 μm. Human Mesoscopic Structural MRI dataset including scanner's raw to processed data Healthy No [45] UNC-Wisconsin Neurodevelopment Rhesus MRI Database
The Brain Imaging Data Structure (BIDS) is a standard for organizing, annotating, and describing data collected during neuroimaging experiments. It is based on a formalized file and directory structure and metadata files (based on JSON and TSV ) with controlled vocabulary . [ 1 ]
Abscisic Acid Signaling Network Dataset Data for a plant signaling network. Goal is to determine set of rules that governs the network. None. 300 Text Causal-discovery 2008 [312] J. Jenkens et al. Folio Dataset 20 photos of leaves for each of 32 species. None. 637 Images, text Classification, clustering 2015 [313] [314] T. Munisami et al.
The WU-Minn-Oxford consortium developed improved MRI instrumentation, image acquisition and image analysis methods for mapping the connectivity in the human brain at spatial resolutions significantly better than previously available; using these methods, WU-Minn-Oxford consortium collected a large amount of MRI and behavioral data on 1,200 healthy adults — twin pairs and their siblings from ...
An example that identified 10 large-scale brain networks from resting state fMRI activity through independent component analysis [15]. Because brain networks can be identified at various different resolutions and with various different neurobiological properties, there is currently no universal atlas of brain networks that fits all circumstances. [16]
The default mode network is an interconnected and anatomically defined [4] set of brain regions. The network can be separated into hubs and subsections: Functional hubs: [25] Information regarding the self Posterior cingulate cortex (PCC) & precuneus: Combines bottom-up (not controlled) attention with information from memory and perception. The ...
The Default Mode Network (DMN) is a large-scale brain network that is active while the brain is at wakeful rest. [20] It was initially noticed to be deactivated during external goal oriented tasks, specifically tasks involving visual attention or cognitive working memory. [20] Because of this, it was referred to as a task-negative network. [20]
There are three types of brain connectivity models of a network (Sporns, O. (2007) [6]). "Anatomical (or structural) connectivity" describes a network with anatomical links having specified relationship between connected "units". If the dependent properties are stochastic, it is defined as "functional connectivity".