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Related Concept Videos

Brain Imaging01:14

Brain Imaging

277
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...
277

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Deep brain-machine interfaces: sensing and modulating the human deep brain.

Yanan Sui1, Huiling Yu1, Chen Zhang1

  • 1National Engineering Research Center of Neuromodulation, Tsinghua University, Beijing  100084, China.

National Science Review
|January 16, 2023
PubMed
Summary
This summary is machine-generated.

Deep brain-machine interfaces interact with deep brain structures, unlike cortical interfaces. These technologies offer new avenues for treating neurological disorders through advanced neural modulation and recording.

Keywords:
deep brain stimulationdeep brain–machine interfacesensing and modulationstereotactic electroencephalography

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Technology

Background:

  • Conventional brain-machine interfaces primarily focus on decoding signals from the cerebral cortex.
  • Deep brain structures offer unique targets for neural interaction, distinct from superficial cortical areas.

Purpose of the Study:

  • To provide an overview of deep brain recording and stimulation techniques for brain-machine interfaces.
  • To highlight technical trends, clinical applications, and research uses of deep brain stimulation and stereotactic electroencephalography.
  • To discuss the potential of closed-loop systems for enhanced neurological and psychiatric disorder treatment.

Main Methods:

  • Review of deep brain recording and stimulation techniques.
  • Focus on deep brain stimulation (DBS) and stereotactic electroencephalography (SEEG).
  • Analysis of technical trends, clinical applications, and brain connectivity research.

Main Results:

  • Deep brain-machine interfaces enable interaction with deep brain structures for sensing and modulation.
  • DBS and SEEG are key technologies with established clinical applications and research utility.
  • Potential for closed-loop systems to improve treatment efficacy and applicability.

Conclusions:

  • Deep brain-machine interfaces represent a significant advancement beyond cortical approaches.
  • These interfaces hold promise for function restoration, device control, and therapeutic improvements.
  • Further development of closed-loop systems could revolutionize the treatment of neurological and psychiatric disorders.