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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: May 6, 2026

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

Engineering approaches to illuminating brain structure and dynamics.

Karl Deisseroth¹, Mark J Schnitzer

¹Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; CNC Program, Stanford University, Stanford, CA 94305, USA.

|November 5, 2013

Summary

This summary is machine-generated.

Neuroscience advances rely on new technologies developed through engineering. Innovations in optical, electrical, and chemical tools are driving future research in brain science.

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Area of Science:

Neuroscience
Biomedical Engineering
Applied Sciences

Background:

Neuroscience research milestones often stem from technological breakthroughs.
The intricate, delicate, and hard-to-access nature of nervous systems necessitates continuous tool development.
Engineering and applied sciences are crucial for creating novel neuroscience research techniques.

Observation:

Recent progress in optical, electrical, mechanical, chemical, and biological engineering is spurring new directions in neuroscience.
These interdisciplinary advancements enable scientists to address more complex questions about the brain.
Technological innovation is a constant driver for understanding nervous system function.

Findings:

Emerging technologies in optical, electrical, mechanical, chemical, and biological engineering are shaping the future of neuroscience.
These advancements provide powerful new methods for investigating the nervous system.
The integration of engineering principles is essential for overcoming neurobiological research challenges.

Implications:

Continued growth in these technological areas is expected to accelerate neuroscience discoveries.
These research directions will likely play a central role in the practice of neuroscience.
Interdisciplinary collaboration between neuroscience and engineering is key to future progress.