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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: Jul 2, 2025

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

Mapping dysfunctional circuits in the frontal cortex using deep brain stimulation.

Barbara Hollunder^1,2,3, Jill L Ostrem⁴, Ilkem Aysu Sahin^1,2

¹Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Nature Neuroscience

|February 22, 2024

Summary

This summary is machine-generated.

Deep brain stimulation (DBS) analysis reveals distinct frontal circuits implicated in motor, cognitive, and affective disorders. Mapping these dysfunctional circuits offers new insights into brain structure-function relationships for neurological conditions.

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Last Updated: Jul 2, 2025

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Area of Science:

Neuroscience
Neurology
Brain Connectomics

Background:

Frontal circuits are crucial for motor, cognitive, and affective functions.
Dysfunction in these circuits is linked to various brain disorders.
Specific frontal domains mediating these functions remain largely undefined.

Purpose of the Study:

To investigate the specific frontal circuits that become dysfunctional in different brain disorders.
To explore the relationship between brain structure, functional impairments, and therapeutic modulation via deep brain stimulation.

Main Methods:

Analysis of 534 deep brain stimulation (DBS) electrodes implanted for four distinct brain disorders.
Correlation of optimal therapeutic response with modulated brain connections.
Topographical mapping of dysfunctional frontal circuits based on connectivity patterns.

Main Results:

Segregation of the frontal cortex into distinct dysfunctional circuits for each studied disorder.
Identification of specific circuit topographies: sensorimotor cortices (dystonia), primary motor cortex (Tourette's syndrome), supplementary motor area (Parkinson's disease), and ventromedial prefrontal/anterior cingulate cortices (obsessive-compulsive disorder).

Conclusions:

Deep brain stimulation integrated with brain connectomics is a powerful method for exploring brain structure-function couplings.
Findings delineate specific frontal circuit dysfunctions associated with distinct neurological and psychiatric disorders.
This approach advances our understanding of the neural basis of brain disorders.