Repository logo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Chanakya University Schools and Centres
  3. School of Arts, Humanities and Social Sciences
  4. Publications
  5. Ethics of brain-computer interface in mental healthcare
 
  • Details

Ethics of brain-computer interface in mental healthcare

Journal
Frontiers in Human Neuroscience
ISSN
1662-5161
Date Issued
2026-08-11
Author(s)
Ajay Chandra  
Chanakya University, Bengaluru
Arkalgud Ramaprasad
Madhavi Rangaswamy
DOI
10.3389/fnhum.2026.1846283
Abstract
Invasive, semi-invasive, and non-invasive brain-computer interfaces (BCI) are playing an increasingly important role in mental healthcare. They play a central role in all the stages of neuro-behavioural interventions, both by the care providers and the caretakers of a patient. The novelty of the technology and its rapid development create complex ethical challenges that must be balanced against the potential gains in efficiency and effectiveness of using the technology in mental healthcare. The paper presents an Ontology of Ethics of Brain-Computer Interface in Mental Healthcare, as a roadmap to guide to balance the ethics, effectiveness, and efficiency of the use of the technology. Like a ‘Google Map’ the ontology presents all the pathways by which the three issues can affect neurobehavioural interventions using BCI technologies by the variety of agents that deliver mental healthcare. Using the ontology one can determine (a) the desired ethical pathways and reinforce them, (b) the undesired/unethical pathways and redirect them, and (c) discover novel ethical pathways and explore them.
Subjects

Brain Computer Interf...

Ethics

Framework

Mental Healthcare

Efficiency

Effectiveness

File(s)
Loading...
Thumbnail Image
Name

ETH_AJA_FRO_20_2026

Type

Main Article

Description
All the copyrights belongs to the authors.
Size

891.63 KB

Format

Adobe PDF

Checksum

(MD5):8c0479af974f856c84e4e1ae0b592462

Powered by - Informatics Publishing Ltd