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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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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Developing Next-generation Brain Sensing Technologies - A Review.

Jacob T Robinson1,2,3, Eric Pohlmeyer4, Malte C Gather5

  • 1Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA.

IEEE Sensors Journal
|March 3, 2020
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Summary
This summary is machine-generated.

New sensing technologies offer advanced neural interfaces for repairing brain function and understanding neural processing. This review explores emerging technologies, translation challenges, and strategies for developing patient therapies and research tools.

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Neural engineeringSensors

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Area of Science:

  • Neuroscience and Bioelectronic Engineering
  • Focuses on the intersection of advanced sensing technologies and neural interfaces.

Background:

  • Emerging sensing technologies present opportunities for neural interfaces.
  • These interfaces aim to restore neural function and understand neural information processing.
  • Translating these technologies into clinical applications is a key goal.

Purpose of the Study:

  • To discuss emerging technologies for sensing brain activity.
  • To identify challenges in translating these technologies into products and therapies.
  • To provide perspectives on transitioning research into clinical use.

Main Methods:

  • Review of current and emerging sensing technologies for neural interfaces.
  • Analysis of challenges associated with the translation of these technologies.
  • Discussion of strategies for product development and therapeutic applications.

Main Results:

  • Identification of key advancements in neural sensing technologies.
  • Outlined significant hurdles in the translation pathway from research to clinical practice.
  • Proposed strategies for effective technology transfer and product development.

Conclusions:

  • Sensing technology advancements are crucial for developing effective neural interfaces.
  • Overcoming translation challenges is vital for patient benefit and neuroscience research.
  • A strategic approach is needed to move these technologies from labs to patients.