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Related Concept Videos

Brain Imaging01:14

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 Stimulation (TMS).

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Emerging Implantable Sensor Technologies at the Intersection of Engineering and Brain Science.

Lihong Qi1, Yuheng Wang2,3,4, Xuemei Liang1

  • 1Department of Geriatrics, School of Clinical Medicine, Southwest Medical University, Luzhou 646000, China.

Biosensors
|November 26, 2025
PubMed
Summary

New implantable neural sensors offer chronic, precise brain interfacing. These flexible, wireless devices advance diagnosis, therapy, and brain-machine interfaces for neuroengineering.

Keywords:
brain–machine interfaceflexible neural interfacesmultimodal sensingneuromorphic electronicswireless & bioresorbable systems

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Area of Science:

  • Neuroscience and Neuroengineering
  • Biomedical Engineering
  • Materials Science

Background:

  • Implantable sensors are crucial for chronic, precise, and multimodal neural interfacing.
  • Convergence of material science, electronics, and neurobiology drives innovation.
  • Flexible, wireless, and bioresorbable sensors expand diagnostic and therapeutic capabilities.

Purpose of the Study:

  • To review recent breakthroughs in implantable neural sensor technologies.
  • To emphasize bio-integration, signal fidelity, and functional adaptability.
  • To discuss clinical potential and future directions in neuroengineering.

Main Methods:

  • Highlighting innovations like CMOS-integrated flexible probes.
  • Discussing internal ion-gated organic electrochemical transistors (IGTs).
  • Reviewing multimodal neurotransmitter-electrophysiology sensors and wireless energy systems.

Main Results:

  • Demonstrated advancements in bio-integration and signal fidelity.
  • Showcased functional adaptability of novel sensor designs.
  • Benchmarked performance in physiological media.

Conclusions:

  • Implantable sensors are revolutionizing brain science and neuroengineering.
  • Addressing translational challenges is key for clinical application.
  • Future directions include on-node data processing and long-term stability.