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Related Concept Videos

Functions of Connective Tissues01:17

Functions of Connective Tissues

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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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Dietary Connections01:23

Dietary Connections

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In biological systems, most metabolic pathways are interconnected. The cellular respiration processes that convert glucose to ATP—such as glycolysis, pyruvate oxidation, and the citric acid cycle—tie into those that break down other organic compounds. As a result, various foods—from apples to cheese to guacamole—end up as ATP. In addition to carbohydrates, food also contains proteins and lipids—such as cholesterol and fats. All of these organic compounds are used...
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Introduction to Connective Tissues01:11

Introduction to Connective Tissues

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Connective tissues are one of the four main tissue types in humans that are extensively present in the body. They are characterized by cells embedded in an extracellular matrix (ECM) composed of a ground substance and three main types of protein fibers— collagen, elastic, and reticular fibers. The ground substance of connective tissues can range from a watery and jelly-like consistency to mineralized and hard. The wide variety of cells in the connective tissues include fibroblasts,...
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Classification of Connective Tissues01:30

Classification of Connective Tissues

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The connective tissues have different properties and functions in the human body. They are broadly categorized into proper, supporting, or fluid connective tissues.
Connective Tissue Proper
Connective tissue proper is the most abundant class of connective tissues. As its name implies, it predominantly connects different tissues in the body. Depending on the cell types, ground substance, viscosity, and fiber types in the ECM, connective tissue proper is further categorized into loose and dense....
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Embryonic Connective Tissues01:20

Embryonic Connective Tissues

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During early development, the embryo forms two types of connective tissues— the mesenchyme and mucoid connective tissue.
The mesenchyme is the first connective tissue that emerges in the developing embryo. It consists of loosely arranged multipotent mesenchymal cells and reticular fibers in the extracellular matrix. This loose arrangement allows easy migration of cells, which is essential for germ layer positioning, patterning, and organ morphogenesis during embryonic development.
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Dense Connective Tissue01:13

Dense Connective Tissue

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Dense connective tissue contains more collagen fibers than loose connective tissue. As a consequence, it displays greater resistance to stretching. There are two major categories of dense connective tissue— regular and irregular.
Dense Regular Connective Tissue
In dense regular connective tissue, fibers are arranged parallel to each other, enhancing its tensile strength and resistance to stretching in the direction of the fiber orientations. Ligaments and tendons are made of dense regular...
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Disentangling Multispectral Functional Connectivity With Wavelets.

Jacob C W Billings1,2, Garth J Thompson2,3, Wen-Ju Pan2

  • 1Graduate Division of Biological and Biomedical Sciences - Program in Neuroscience, Emory University, Atlanta, GA, United States.

Frontiers in Neuroscience
|November 22, 2018
PubMed
Summary
This summary is machine-generated.

Brain connectomics research uses wavelet transforms to analyze functional connectivity (FC) across multiple brain activity scales. This study reveals how brain networks emerge and change across different spectral bands in resting humans.

Keywords:
clusteringfunctional connectivityfunctional magnetic resonance imagingmutual informationresting statewavelet packet transform

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Network Science

Background:

  • Brain connectomics aims to understand intrinsic brain organization through spontaneous activity.
  • Functional connectivity (FC) is typically measured using linear correlations in BOLD-fMRI signals.
  • BOLD-fMRI signals exhibit natural spectral scaling, suggesting multiscale analysis is beneficial.

Purpose of the Study:

  • To apply wavelet transforms for analyzing multiscale functional connectivity in the brain.
  • To investigate how brain networks develop across different spectral scales using BOLD-fMRI data.

Main Methods:

  • Utilized wavelet transforms to analyze spontaneous BOLD-fMRI fluctuations.
  • Employed information theoretic criteria to measure relatedness between spectrally-delimited FC graphs.
  • Conducted voxelwise comparisons of graph structures across spectral bands.

Main Results:

  • Demonstrated the utility of wavelet analysis for examining BOLD-fMRI connectivity at multiple scales.
  • Identified the emergence of preferential functional networks across different spectral bands.
  • Showcased how functional brain organization varies with spectral scale.

Conclusions:

  • Wavelet analysis provides a powerful framework for exploring multiscale brain dynamics.
  • Functional brain networks exhibit scale-dependent organization.
  • This approach enhances understanding of the brain's intrinsic functional architecture.