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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...

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Related Experiment Video

Updated: Sep 13, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Integrating and interpreting brain maps.

Justine Y Hansen¹, Bratislav Misic¹

¹Montréal Neurological Institute, McGill University, Montréal, Quebec, Canada.

Trends in Neurosciences

|July 31, 2025

Summary

This summary is machine-generated.

Neuroscience is becoming a data science, integrating multiomic brain maps to understand structure and function. This approach reveals complex relationships and poses new scientific questions.

Keywords:

brain imaging data integration data science multiomic multiscale open science

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Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Sep 13, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Neuroscience
Computational Biology
Data Science

Background:

Brain organization arises from complex molecular, cellular, and dynamic interactions.
Precisely mapping spatial patterns of biological features is a key goal in neuroscience.

Purpose of the Study:

To review methods for interpreting relationships between biological feature maps in the brain.
To explore how neuroscience can be approached as a data science.

Main Methods:

Comprehensive measurement of spatial patterning of multiple biological features.
Utilizing multiomic datasets and diverse data representation tools.
Applying an extensive repertoire of analytical methods.

Main Results:

Neuroscience can be approached as a data science with detailed datasets and analytics.
Methodological and conceptual challenges exist in disentangling relationships among brain maps.

Conclusions:

An integrative perspective transforms scientific questions and the conduct of neuroscience research.
Studying the brain through integrated maps offers a path to a coherent understanding of its structure and function.