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Related Concept Videos

Brain Imaging01:14

Brain Imaging

282
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...
282

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Related Experiment Video

Updated: Aug 23, 2025

Optogenetic Functional MRI
06:06

Optogenetic Functional MRI

Published on: April 19, 2016

14.9K

Solving brain circuit function and dysfunction with computational modeling and optogenetic fMRI.

Jin Hyung Lee1,2,3,4, Qin Liu1, Ehsan Dadgar-Kiani1,2

  • 1Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.

Science (New York, N.Y.)
|November 3, 2022
PubMed
Summary
This summary is machine-generated.

This review explores brain circuit models to understand neurological diseases and predict therapeutic outcomes. Combining optogenetic functional magnetic resonance imaging (fMRI) with computational modeling offers a path toward restoring brain function.

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Systems Engineering

Background:

  • Neurological diseases involve complex whole-brain circuit dysfunctions.
  • Understanding spatial spreading mechanisms of pathologies is crucial.
  • Current models lack the precision to predict therapeutic outcomes.

Purpose of the Study:

  • To review current approaches for modeling brain function in neurological disease.
  • To explore future directions for understanding circuit mechanisms.
  • To enable prediction of therapeutic intervention outcomes.

Main Methods:

  • Combining optogenetic functional magnetic resonance imaging (fMRI) with computational modeling.
  • Developing cell type-specific, large-scale brain circuit models.
  • Quantitatively parameterizing brain function and dysfunction.

Main Results:

  • Emerging methods allow quantitative parameterization of large-scale brain circuits.
  • Optogenetic fMRI and computational modeling are key tools.
  • Progress is being made in understanding cell type-specific circuit function.

Conclusions:

  • A systems engineering approach can guide the development of targeted therapeutics.
  • Restoring brain function is a viable goal for future treatments.
  • Integrated modeling and imaging techniques are essential for advancing neurological disease research.