ArticleAJOB neuroscience
Brain Data in Context: Are New Rights the Way to Mental and Brain Privacy?
Article in AJOB neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 32 citations in OpenAlex.
- Contextualising Mental Privacy in South Africa: Legal, Ethical, and Socio-Cultural Considerations With Policy Recommendations.Developing world bioethics · 2026Article
- Review
- Neuroscience informed risk assessment and management in forensic mental healthcare: a qualitative analysis of ethical and legal challenges and practice-oriented recommendations.Frontiers in psychology · 2026Article
- Does brain-computer interface-based mind reading threaten mental privacy? ethical reflections from interviews with Chinese experts.BMC medical ethics · 2025Article
- The Marriage of Neurotechnologies and Artificial Intelligence: Ethical, regulatory, and technological aspects.IEEE signal processing magazine · 2025Article
- Cognitive frontiers: neurotechnology and global internet governance.Frontiers in digital health · 2025Review
- Ethical considerations for integrating multimodal computer perception and neurotechnology.Frontiers in human neuroscience · 2024Article
- Privacy Protections in and across Contexts: Why We Need More Than Contextual Integrity.AJOB neuroscienceArticle
- Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches.Digital healthReview
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
- Commented on by
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The potential to collect brain data more directly, with higher resolution, and in greater amounts has heightened worries about mental and brain privacy. In order to manage the risks to individuals posed by these privacy challenges, some have suggested codifying new privacy rights, including a right to "mental privacy." In this paper, we consider these arguments and conclude that while neurotechnologies do raise significant privacy concerns, such concerns are-at least for now-no different from those raised by other well-understood data collection technologies, such as gene sequencing tools and online surveillance. To better understand the privacy stakes of brain data, we suggest the use of a conceptual framework from information ethics, Helen Nissenbaum's "contextual integrity" theory. To illustrate the importance of context, we examine neurotechnologies and the information flows they produce in three familiar contexts-healthcare and medical research, criminal justice, and consumer marketing. We argue that by emphasizing what is distinct about brain privacy issues, rather than what they share with other data privacy concerns, risks weakening broader efforts to enact more robust privacy law and policy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.