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Datasets Healthy and diseased: No Open Access Series of Imaging Studies (OASIS) Structural MRI images Human Macroscopic MRI datasets Healthy and Alzheimer's disease: Yes [36] Open Connectome Project Database of different circuitry frameworks and neuroimaging datasets, including volumetric datasets, atlases, and connectomics research
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 ]
For instance, it has been utilized in academic research involving automatic cranio-facial implant design, [29] brain tumor analysis from Magnetic Resonance images, [30] identification of features in focal liver lesions from MRI scans, [31] radiotherapy planning for prostate cancer, [32] preparation of datasets for fluorescence microscopy ...
The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format [1] commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods. References [ edit ]
The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are made available as various sorted types and subtypes.
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 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 ...