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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...
958

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Related Experiment Video

Updated: Apr 7, 2026

Fabrication of Ti3C2 MXene Microelectrode Arrays for In Vivo Neural Recording
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MXene Nanomaterial Interfaces: Pioneering Neural Signal Recording for Brain-Computer Interfaces and Cognitive

Anila Mukhtiar1, Nabisab Mujawar Mubarak2, Mohamed Aly Saad Aly3

  • 1Department of Chemistry, COMSATS University Islamabad, Islamabad, 45550, Pakistan.

Topics in Current Chemistry (Cham)
|April 6, 2026
PubMed
Summary

MXene-based electrode devices offer a cost-effective, high-accuracy solution for monitoring brain activity. This review explores their potential in advancing brain-computer interfaces (BCIs) for neural stimulation and recording.

Keywords:
BioelectronicsCognitive therapeuticsIn vivo neuroengineeringMXenesNeural stimulationTunable surface chemistry

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Area of Science:

  • Materials Science
  • Neuroscience
  • Biomedical Engineering

Background:

  • MXenes possess high conductivity and tunable surface chemistry, making them suitable for neural applications.
  • Existing neural devices face limitations in accuracy, cost-effectiveness, and resolution for advanced brain monitoring.

Purpose of the Study:

  • To review the integration of MXenes into neural devices for brain-computer interfaces (BCIs).
  • To analyze MXenes' role in enhancing neural stimulation and recording capabilities.
  • To discuss engineering strategies and challenges for clinical implementation.

Main Methods:

  • Review of recent experimental findings from in vitro and in vivo models.
  • Analysis of MXene properties relevant to neural interface applications.
  • Discussion of engineering strategies for optimizing MXene-based neural systems.

Main Results:

  • MXenes show promise for high-accuracy, cost-effective neural electrode devices.
  • Their properties support advanced real-time signal decoding and feedback systems in BCIs.
  • Engineering strategies can optimize MXene performance for neural applications.

Conclusions:

  • MXenes are transformative materials for next-generation neural interfaces and BCIs.
  • Addressing material stability, biocompatibility, and miniaturization is crucial for clinical translation.
  • MXene integration can drive breakthroughs in brain-machine interface functionality.