Name: Co-análise de estrutura e função cerebral usando ressonância magnética funcional e imagem ponderada em difusão (Vídeo) | JoVE Journal
Uploaded: 2012-11-08T12:00:00.000+00:00
Duration: 17 min 6 s
Description: Aprenda a analisar estrutura e função cerebral simultaneamente usando ressonância magnética de alto campo com imagem ponderada em difusão e tractografia. Este método integra dados estruturais e funcionais para mapear conectividade anatômica em redes cerebrais.

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List acknowledgements and funding sources. The work is supported by NIH RO1-MH54246 (M. B.), National Science Foundation BCS0923763 (M.B.), the Defense Advanced Research Projects Agency (DARPA) under contract NBCHZ090439 (W. S.), the Office of Naval Research (ONR) under award N00014-11-1-0399 (W. S.), and the Army Research Lab (ARL) under contract W911NF-10-2-0022 (W. S.). The views, opinions, and/or findings contained in this presentation are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied, of the above agencies or the United States Department of Defense.

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</ol>

No conflicts of interest declared.

High-resolution DWI and fiber tractography provide a powerful approach for examining the connective structure of the human brain. Here, we present evidence that this structural architecture is meaningfully related to brain function, assessed by fMRI. By using tractography seeds based on fMRI task activation, we find evidence that brain areas which are co-active during visual attention are anatomically connectedconsistent with prior knowledge of functional neuroanatomy (Figure 7). Similarly, the functiona...

co-analysis of brain structure and function using fmri and diffusion-weighted imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

The study of complex computational systems is facilitated by network maps, such as circuit diagrams. Such mapping is particularly informative when studying the brain, as the functional role that a brain area fulfills may be largely defined by its connections to other brain areas. In this report, we describe a novel, non-invasive approach for relating brain structure and function using magnetic resonance imaging (MRI). This approach, a combination of structural imaging of long-range fiber connections and functional imaging data, is illustrated in two distinct cognitive domains, visual attention and face perception. Structural imaging is performed with diffusion-weighted imaging (DWI) and fiber tractography, which track the diffusion of water molecules along white-matter fiber tracts in the brain (Figure 1). By visualizing these fiber tracts, we are able to investigate the long-range connective architecture of the brain. The results compare favorably with one of the most widely-used techniques in DWI, diffusion tensor imaging (DTI). DTI is unable to resolve complex configurations of fiber tracts, limiting its utility for constructing detailed, anatomically-informed models of brain function. In contrast, our analyses reproduce known neuroanatomy with precision and accuracy. This advantage is partly due to data acquisition procedures: while many DTI protocols measure diffusion in a small number of directions (e.g., 6 or 12), we employ a diffusion spectrum imaging (DSI)1, 2 protocol which assesses diffusion in 257 directions and at a range of magnetic gradient strengths. Moreover, DSI data allow us to use more sophisticated methods for reconstructing acquired data. In two experiments (visual attention and face perception), tractography reveals that co-active areas of the human brain are anatomically connected, supporting extant hypotheses that they form functional networks. DWI allows us to create a "circuit diagram" and reproduce it on an individual-subject basis, for the purpose of monitoring task-relevant brain activity in networks of interest.

We describe a novel approach for simultaneous analysis of brain function and structure using magnetic resonance imaging (MRI). We assess brain structure with high-resolution diffusion-weighted imaging and white-matter fiber tractography. Unlike standard structural MRI, these techniques allow us to directly relate anatomical connectivity to functional properties of brain networks.

The study of complex computational systems is facilitated by network maps, such as circuit diagrams. Such mapping is particularly informative when ...

The overall goal of the following experiment is to simultaneously analyze brain structure and function using magnetic resonance imaging. This is achieved using high field MRI to image the brain's white matter structure with diffusion spectrum imaging or DSI and to measure brain function with bold FMRI. The DSI data are then processed to produce multi-directional diffusion estimates at every point in the brain.Additionally, the FMRI data are analyzed in order to produce regions of interest for generating or selecting virtual white matter fibers. Next, the regions of interest are aligned with the DSI data, so that functional and structural data are in a common image space. Finally, t tractography is performed on diffusion data in order to estimate white matter pathways connecting functional regions of interest Results are obtained that show the degree of anatomical connectivity between brain areas hypothesized to be functionally connected.Based on FMRI task data. Recent converging evidence has suggested that complex cognitive operations are executed by networks of many brain regions working in concert rather than a single unitary area. In order to fully specify these computational sy

co-analysis-brain-structure-function-using-fmri-diffusion-weighted

Research

JoVE Journal

Neuroscience

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Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring 

Neuroimaging techniques, such as functional MRI and Diffusion Tensor Imaging have become increasingly useful in characterizing the cognitive and neural deficits in autism. An examination of brain connectivity in autism at a network level along with adaptations for scanning children with developmental disabilities is presented.

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

We combined frequency-domain near-infrared spectroscopy measures of cerebral hemoglobin oxygenation with diffuse correlation spectroscopy measures of cerebral blood flow index to estimate an index of oxygen metabolism. We tested the utility of this measure as a bedside screening tool to evaluate the health and development of the newborn brain.

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism

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MRI Mapping of Cerebrovascular Reactivity via Gas Inhalation Challenges

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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

This protocol demonstrates how to measure resting state functional connectivity in the human prefrontal cortex using a custom-made diffuse correlation spectroscopy instrument. The report also discuss practical aspects of the experiment as well as detailed steps for analyzing the data.

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

We have developed a method for simultaneous functional magnetic resonance imaging and electrophysiological recording in the rodent brain, providing a platform for the investigation of the relationship between neural activity and the blood oxygenation level dependent (BOLD) MRI signal.

Simultaneous fMRI and Electrophysiology in the Rodent Brain

In this article, we examine the methodology and considerations relevant to the combination of TMS and fMRI to examine the effects of brain stimulation on the default network.

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Aprenda a analisar estrutura e função cerebral simultaneamente usando ressonância magnética de alto campo com imagem ponderada em difusão e tractografia. Este método integra dados estruturais e funcionais para mapear conectividade anatômica em redes cerebrais.

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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