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Related Concept Videos

Dense Connective Tissue01:13

Dense Connective Tissue

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...
Layers of Connective Tissue Proper01:21

Layers of Connective Tissue Proper

Fascia, a thin layer of fibrous connective tissue, is distributed throughout the body. It demarcates and forms a supportive covering over skeletal muscles, bones, blood vessels, and organs. There are three main types of facia— superficial fascia, deep fascia, and subserous fascia. These are all present at different depths in the body. Fascia reduces the friction and permits muscles, joints, and organs to easily slide against each other, facilitating movement of the body and preventing tearing...
Muscles of the Vertebral Column01:27

Muscles of the Vertebral Column

The back muscles that lie deep into the thoracolumbar fascia are called intrinsic or true back muscles. These muscles are divided into four layers: superficial, intermediate, deep, and deepest layers.
Superficial Layer:
The superficial layer consists primarily of the splenius muscles, which include the splenius capitis and splenius cervicis. These muscles are mainly responsible for the head and cervical spine movements, including extension, rotation, and lateral bending. The splenius capitis...

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LAYER: A Quantitative Explainable AI Framework for Decoding Tissue-Layer Drivers of Myofascial Low Back Pain.

Zixue Zeng1,2, Anthony M Perti1, Tong Yu1,2

  • 1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Arxiv
|December 8, 2025
PubMed
Summary

Myofascial pain (MP) research often overlooks non-muscle tissues. Our AI framework, LAYER, reveals fascia and fat significantly contribute to low back pain prediction, challenging the muscle-centric view.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Myofascial pain (MP) is a major cause of chronic low back pain.
  • Current research lacks reliable biomarkers and focuses mainly on muscle, neglecting other soft tissues.

Purpose of the Study:

  • To develop and validate an explainable AI framework (LAYER) for analyzing soft tissue contributions to MP.
  • To identify specific tissue layers and their roles in MP prediction using 3D ultrasound.

Main Methods:

  • Developed LAYER, an AI framework for Layer-wise Analysis for Yielding Explainable Relevance Tissue.
  • Analyzed over 4,000 3D ultrasound scans across six tissue layers.
  • Quantified tissue layer contributions to MP prediction using B-mode and shear-wave imaging.

Main Results:

  • Non-muscle tissues, particularly the deep fascial membrane (DFM), significantly contribute to MP prediction.
  • The collective saliency of non-muscle layers nearly matched muscle's saliency in combined imaging.
  • LAYER demonstrated high saliency for DFM in B-mode imaging (0.420).

Conclusions:

  • Challenges the traditional muscle-centric paradigm in myofascial pain research.
  • Highlights the importance of fascia and other non-muscle tissues in low back pain.
  • Provides a novel, interpretable framework for soft-tissue imaging analysis and identifies new therapeutic targets.