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Related Concept Videos

Graphs of Functions01:30

Graphs of Functions

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Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Graphs of Trigonometric Functions01:29

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Trigonometric functions exhibit periodic and symmetrical behavior, deeply rooted in the unit circle. The sine and cosine functions correspond to the vertical and horizontal projections, respectively, of a point rotating counterclockwise around the circle. These functions trace smooth, repeating waveforms with identical periods and bounded ranges. The tangent function is defined as the ratio of sine to cosine and produces an unbounded curve that repeats every units, with vertical asymptotes...
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Consider the wave equation for a sinusoidal wave moving in the positive x-direction. The wave equation is a function of both position and time. From the wave equation, two different graphs can be plotted.
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Functions of Connective Tissues01:17

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Connective tissues perform a broad range of functions in the body. Their primary function is to connect and link different tissues in the body and act as packaging material between tissues. The areolar tissue, a connective tissue prototype, commonly cements various tissue types in diverse body organs. In contrast, adipose tissue cushions internal organs while insulating the body from heat loss.
Hard connective tissues, such as bones and cartilage, provide structure and support to the body.
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Real-Time fMRI Brain Mapping in Animals
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Multiband fMRI as a plausible, time-saving technique for resting-state data acquisition: Study on functional

K A Smitha1, K M Arun1, P G Rajesh2

  • 1Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrun, Kerala, India.

Magnetic Resonance Imaging
|June 22, 2018
PubMed
Summary

Multiband resting-state fMRI (MB-rsfMRI) offers a faster alternative to conventional resting-state fMRI (rsfMRI) for mapping brain connectivity. This study found MB-rsfMRI provides similar functional connectivity outcomes in healthy subjects, making it a valuable time-saving technique.

Keywords:
Conventional resting state fMRIGraph analysisMultiband resting state fMRISmall world networkTemporal signal to noise ratio

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Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)

Background:

  • Optimizing functional MRI (fMRI) involves reducing scan time without sacrificing image quality for patient comfort and compliance.
  • Multiband resting-state fMRI (MB-rsfMRI) is an emerging technique designed to accelerate MR image acquisition by increasing the number of time points.

Purpose of the Study:

  • To compare signal characteristics and functional connectivity between conventional rsfMRI and MB-rsfMRI.
  • To evaluate the efficacy of MB-rsfMRI as a time-efficient alternative for functional connectivity mapping.

Main Methods:

  • Nine healthy volunteers underwent both conventional rsfMRI and MB-rsfMRI scanning at 3T.
  • Temporal signal-to-noise ratio (tSNR) was compared between the two techniques.
  • Language network connectivity and small-world network properties were analyzed using graph theory.

Main Results:

  • A strong positive correlation (r=0.99) was observed between graph theoretical measures derived from MB-rsfMRI and conventional rsfMRI.
  • Both methods exhibited comparable small-world network characteristics in healthy participants.
  • Temporal SNR (tSNR) was computed for both conventional rsfMRI and MB-rsfMRI.

Conclusions:

  • MB-rsfMRI demonstrates negligible differences in graph theoretic measures compared to conventional rsfMRI.
  • MB-rsfMRI is a viable time-reducing acquisition technique for mapping functional connectivity in healthy subjects with comparable outcomes.
  • The findings support the use of MB-rsfMRI for efficient and accurate functional brain mapping.