Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Oligodendrocyte Piezo2 is a regulator of age-dependent myelin integrity and dysregulated in multiple sclerosis.

Communications biology·2026

Same author

DNA damage burden causes selective CUX2 neuron loss in neuroinflammation.

Nature·2026

Same author

Patient-Derived Monoclonal Myelin Oligodendrocyte Glycoprotein Autoantibodies Mediate Cytotoxicity.

Neurology(R) neuroimmunology & neuroinflammation·2025

Same author

A cause and protective treatment for acute and progressive disability and grey matter atrophy.

Brain : a journal of neurology·2025

Same author

The mGluR5 Agonist, CHPG, Enhances Numbers of Differentiated Human Oligodendrocytes.

bioRxiv : the preprint server for biology·2025

Same author

Multiple Sclerosis: Glial Cell Diversity in Time and Space.

Glia·2024

Search research articles

Related Experiment Video

Updated: Jun 20, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Spatially Resolved Profiling of Compartmentalized Muscle and Brain Inflammation.

Thorge Dobbertin^1,2, Lucas Schirmer^1,3,4

¹Division of Neuroimmunology, Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

European Journal of Immunology

|December 23, 2025

Summary

This summary is machine-generated.

Spatial omics reveals how cells interact in tissues during chronic inflammation. These advanced techniques map immune activity in skeletal muscle and the central nervous system to guide new therapies.

Keywords:

immunopathology inflammation neuroimmunology proteomics transcriptomics

More Related Videos

Three-dimensional Confocal Analysis of Microglia/macrophage Markers of Polarization in Experimental Brain Injury

Three-dimensional Confocal Analysis of Microglia/macrophage Markers of Polarization in Experimental Brain Injury

Published on: September 4, 2013

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Related Experiment Videos

Last Updated: Jun 20, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Three-dimensional Confocal Analysis of Microglia/macrophage Markers of Polarization in Experimental Brain Injury

Three-dimensional Confocal Analysis of Microglia/macrophage Markers of Polarization in Experimental Brain Injury

Published on: September 4, 2013

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Area of Science:

Immunology
Neuroscience
Genomics

Background:

Chronic inflammation in skeletal muscle and the central nervous system (CNS) is spatially organized, influencing disease progression and treatment outcomes.
Understanding the in situ interactions between immune, stromal, and parenchymal cells is crucial for deciphering inflammatory diseases.

Purpose of the Study:

To explore how spatial omics technologies can map cellular interactions within tissues during inflammation.
To highlight the application of spatial analyses in skeletal muscle and CNS inflammatory conditions.

Main Methods:

Utilizing spatial omics technologies for high-resolution mapping of transcriptomic, proteomic, and metabolic profiles in intact tissues.
Integrating spatial data with single-cell gene expression to infer cell-cell communication networks and spatial gradients.

Main Results:

Spatial analyses in skeletal muscle identified fiber-type-specific vulnerabilities, regenerative pathways, and immune-stromal crosstalk in muscular dystrophy and myositis.
In the CNS, spatial approaches revealed compartmentalized neuroinflammation in multiple sclerosis, innate immune activation in amyotrophic lateral sclerosis, and immune evasion in glioma.
Identified spatial gradients of immune activation and tissue remodeling, and inferred cell-cell communication networks.

Conclusions:

Spatial omics offers an unprecedented opportunity to resolve the cellular architecture of inflammation in complex tissue microenvironments.
Despite challenges in clinical translation, advancements in spatial profiling promise to stratify inflammatory diseases and guide mechanism-based therapies.
These technologies are key to understanding where and how immune activity is orchestrated within tissues.