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Structural Joints: Fibrous Joints

Structural Joints: Fibrous Joints

Fibrous joints are a type of joint where the bones are connected by fibrous connective tissue. These joints provide stability and minimal to no movement between the articulating bones. There are three types of fibrous joints.
Suture
All the bones of the skull, except for the mandible, are joined to each other by a fibrous joint called a suture. The fibrous connective tissue found at a suture strongly unites the adjacent skull bones and thus helps to protect the brain and form the face. In...

Structural Joints: Cartilaginous Joints

Structural Joints: Cartilaginous Joints

As the name indicates, at a cartilaginous joint, the adjacent bones are united by cartilage, a tough but flexible type of connective tissue. Unlike synovial joints, these types of joints lack a joint cavity and involve bones joined together by either hyaline cartilage or fibrocartilage.
There are two types of cartilaginous joints:
Synchondrosis
A synchondrosis ("joined by cartilage") is a cartilaginous joint where bones are connected by hyaline cartilage. Synchondrosis may be temporary or...

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Related Experiment Video

Updated: May 13, 2026

Meal Duration as a Measure of Orofacial Nociceptive Responses in Rodents

Meal Duration as a Measure of Orofacial Nociceptive Responses in Rodents

Published on: January 10, 2014

Bridging Temporomandibular Joint Structure, Function, and Pain: An Integrated Multiscale Perspective.

P Chen^1,2, M C Embree^3,4, M-K Chung⁵

¹Clemson-MUSC Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.

Journal of Dental Research

|October 18, 2025

Summary

This summary is machine-generated.

Temporomandibular joint (TMJ) dysfunction involves complex interactions between structure, function, and pain. Integrating these factors using a multiscale framework is key to understanding TMJ diseases and developing better treatments.

Keywords:

biomechanics cell-matrix interactions computer simulation extracellular matrix nervous system temporomandibular joint disorders

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Last Updated: May 13, 2026

Meal Duration as a Measure of Orofacial Nociceptive Responses in Rodents

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Published on: January 10, 2014

A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle

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Published on: January 11, 2018

Temporomandibular Joint Pain Measurement by Bite Force and Von Frey Filament Assays in Mice

Temporomandibular Joint Pain Measurement by Bite Force and Von Frey Filament Assays in Mice

Published on: September 13, 2024

Area of Science:

Biomedical Engineering
Neuroscience
Rheumatology

Background:

Temporomandibular joint (TMJ) disorders are characterized by structural alterations linked to jaw dysfunction and pain.
Current understanding of TMJ pain mechanisms and their relationship with structural and functional changes is limited.
Research on TMJ structure, function, and pain has historically been fragmented, hindering integrative insights.

Purpose of the Study:

To synthesize current knowledge on TMJ structure, function, and pain across different scales and models.
To propose a novel multiscale and multiphysics framework for assessing TMJ dynamics.
To bridge fragmented research areas for a holistic understanding of TMJ diseases.

Main Methods:

Review and synthesis of existing human and animal model research on TMJ structure, function, and pain.
Analysis of multiscale spatiotemporal changes in cellular, extracellular, and neural components of the TMJ.
Integration of biomechanical, biochemical, cellular, nociceptive, and psychosocial factors.

Main Results:

TMJ diseases involve complex, bidirectional interactions between mechanical loading, neural responses, immune signaling, and brain modulation.
Existing clinical correlations between structural changes, dysfunction, and craniofacial pain are inconsistent.
A proposed multiscale framework can holistically assess dynamic TMJ processes.

Conclusions:

An integrated, multiscale approach is essential for elucidating TMJ disease mechanisms and pain chronicity.
This framework promises to improve diagnostics and guide targeted therapies for TMJ disorders.
Transdisciplinary collaboration and advanced methodologies are required to realize this integrated approach.