Mri Atlas
Mri Atlas - Related Videos
03:38
Developing a Cerebral Blood Flow Atlas for Blood Flow Mapping
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2025
Source: Tan, Z., et al., Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling. J. Vis. Exp. (2024).This video demonstrates the method to construct a cerebral blood flow atlas by integrating magnetic resonance imaging or MRI-arterial spin labeling data with segmented brain regions, visualizing blood flow patterns, and quantifying flow levels across functional areas.
05:23
Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling
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2024
This study integrated magnetic resonance imaging- arterial spin labeling images to derive cerebral blood flow (CBF) atlas for cerebral functional regions. Comparing typical healthy and chronic cerebral ischemia CBF atlases revealed significant differences in regional CBF distributions, enabling rapid, noninvasive assessments of functional CBF to assist in diagnosis and evaluate therapeutics.
09:08
Production of Tissue Microarrays, Immunohistochemistry Staining and Digitalization Within the Human Protein Atlas
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Cited by 202 •
2012
Tissue microarrays allows for an efficient method to gain concurrent information from a multitude of tissues. Representative parts of tissues are assembled into a single paraffin block. Sections from the block are used for immunohistochemistry and analysis of protein expression patterns. Digital scanning generates corresponding images for distribution of data.
06:06
Optogenetic Functional MRI
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Cited by 15 •
2016
This protocol describes the steps and data analysis required to successfully perform optogenetic functional magnetic resonance imaging (ofMRI). ofMRI is a novel technique that combines high-field fMRI readout with optogenetic stimulation, allowing for cell type-specific mapping of functional neural circuits and their dynamics across the whole living brain.
08:20
MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder
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Cited by 31 •
2015
Here we outline the procedure for MRI-guided repetitive transcranial magnetic stimulation to the dorsomedial prefrontal cortex as an experimental treatment for major depressive disorder.
FAQs
Computational registration aligns each individual scan with a shared template, placing corresponding anatomical regions into a common spatial framework. This alignment allows researchers to compare the same brain location across subjects rather than relying on each scan’s original orientation or anatomy. In behavioral neuroscience, that consistency supports measurements of region-specific differences linked to learning, movement, emotion, or disease.
Image contrasts distinguish tissue properties within the MRI data, helping researchers identify anatomical boundaries and interpret regional structure. Because the atlas links these visual differences to standardized locations, investigators can more consistently locate brain regions and assess structural variation. The resulting anatomical reference can support analysis of lesions, circuits, and other features relevant to behavior.
A shared atlas provides a common anatomical reference for locating and labeling brain regions. When separate experiments or laboratories use the same spatial framework, their measurements become easier to compare because regional results are expressed relative to a standardized template. This reduces ambiguity in anatomical localization and strengthens the consistency of studies examining behavior-related neural variation.
A typical workflow begins with MRI acquisition, followed by processing that uses the signal from hydrogen nuclei in a magnetic field to generate anatomical information. Researchers then register individual scans to an atlas template and use image contrasts to identify relevant structures. They can subsequently localize regions, quantify structural differences, and compare those measurements across subjects.
Researchers can use an atlas when they need to connect anatomical variation with behavioral outcomes such as learning, movement, or emotion. It provides a consistent way to locate candidate brain regions or circuits and compare their structure across subjects. The same framework can also support studies of disease-related differences, including the localization and comparison of lesions.
An atlas can support region-specific measurements, cross-subject comparisons, and localization of lesions or circuits associated with behavior. These results help investigators relate anatomical differences to behavioral variation rather than treating each scan as an isolated image. By organizing measurements within a common reference, the atlas also makes findings easier to compare across experiments and laboratories.