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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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Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
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Brain-computer interface: an update for the clinicians.

Agam Jain1, Sreelakshmi Raveendran2, Krishnan Padmakumari Sivaraman Nair3

  • 1Department of Neurology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi, India.

Frontiers in Human Neuroscience
|May 8, 2026
PubMed
Summary
This summary is machine-generated.

This review explores Brain-Computer Interfaces (BCIs) for neuroscience and mental health. It assesses BCI applications, limitations, and future clinical integration, aiming to inform healthcare professionals.

Keywords:
brain computer interfacecliniciansmental healthrehabilitationstroke

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Area of Science:

  • Neuroscience
  • Mental Health
  • Biomedical Engineering

Background:

  • Brain-Computer Interfaces (BCIs) offer novel therapeutic and diagnostic avenues in neuroscience and mental health.
  • Understanding the fundamental principles and clinical utility of BCIs is crucial for their effective implementation.

Purpose of the Study:

  • To critically review the principles and clinical applications of BCIs in neuroscience and mental health.
  • To provide an evidence-based assessment of current BCI indications, limitations, and emerging solutions.
  • To guide the clinical adoption of BCI technologies and increase clinician awareness.

Main Methods:

  • A narrative review methodology was employed.
  • Searches were conducted in PubMed, Scopus, and PEDro databases.
  • Inclusion was restricted to clinical studies.

Main Results:

  • The review assesses current indications for BCI use in clinical settings.
  • Technological limitations and potential solutions for BCI integration are discussed.
  • Clinical decision-making pathways for BCI adoption are outlined.

Conclusions:

  • BCIs present significant opportunities for advancing neuroscience and mental health care.
  • Addressing technological challenges is key to successful clinical integration.
  • Equipping clinicians with knowledge is essential for the mainstream adoption of BCI systems.