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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 ]
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]
The human brain network was characterized using a broad array of network analysis methods including core decomposition, modularity analysis, hub classification and centrality. Hagmann et al . presented evidence for the existence of a structural core of highly and mutually interconnected brain regions, located primarily in posterior medial and ...
When the cognitive state is not explicit (i.e., the subject is at "rest"), the large-scale brain network is a resting state network (RSN). As a physical system with graph-like properties, [6] a large-scale brain network has both nodes and edges and cannot be identified simply by the co-activation of brain areas. In recent decades, the analysis ...
The brain and the neural network should be considered as an integrated and self-contained firmware system that includes hardware (organs), software (programs), memory (short term and long term), database (centralized and distributed), and a complex network of active elements (such as neurons, synapses, and tissues) and passive elements (such as ...
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