Neuroscience is colliding with one of the defining political forces of the decade: the treatment of data as a national asset. In a Perspective published in Nature Neuroscience on 24 September 2026, an international team of researchers led by Kimberly L. Ray and Franco Pestilli of The University of Texas at Austin argues that the rise of artificial intelligence has transformed brain data from a purely scientific resource into a strategically and economically valuable commodity, and that governments are responding by intensifying regulation of how personal information is collected, used and moved across borders. The result, they warn, is a fundamental tension between the open science culture on which modern neuroscience depends and the doctrine of data sovereignty, under which states assert legal, economic and geopolitical control over data generated within their territories.
The technical stakes are higher than they might first appear. Progress in neuroscience and brain health increasingly depends on access to large, diverse and internationally distributed datasets. Population-scale neuroimaging, advances in neurotechnology and computational modeling are now enabling the creation of AI-ready brain datasets that can support everything from brain-computer interfaces to semantic reconstruction of language from non-invasive brain recordings. Recent work has demonstrated AI copilots for brain-computer interface control, Bayesian reconstruction of natural images from brain activity, and dense longitudinal neuroimaging that tracks individual brain change trajectories over time. Each of these advances amplifies both the scientific value of neural data and the complexity of governing it, because the same datasets that power biomarkers and digital brain twins can, in principle, expose deeply personal information about the individuals who contributed them.
The regulatory landscape has grown correspondingly fragmented. By 2023, more than 160 national data privacy laws and some 20 bills were in force worldwide, and the European Union’s GDPR has exerted a ‘Brussels effect’ that shapes data protection norms far beyond Europe’s borders. Yet the authors, whose affiliations span the United States, Brazil, Canada, the United Kingdom, Switzerland and South Africa, document how these frameworks can actively frustrate international biomedical research. Analyses of the GDPR have described how it impedes global data sharing, and studies of European neuroimaging have highlighted the ‘data sharing dilemma’ created when open science ambitions meet divergent national implementations of privacy law. Adequacy decisions, standard contractual clauses and trusted research environments each offer partial solutions, but none resolves the underlying friction between jurisdictional control and scientific openness.
Neural data present distinctive challenges that go well beyond those of ordinary personal information. Brain recordings can be re-analyzed indefinitely with new computational methods, meaning that consent given for one study may not anticipate the inferences possible a decade later. Researchers have shown that continuous language can be semantically reconstructed from non-invasive brain recordings, and that natural images can be decoded from brain activity, capabilities that raise the specter of mental privacy violations. Scholars have accordingly argued that neuroscience should shift from a narrow data-protection framing toward harm prevention, and neuroethicists have called for dedicated governance frameworks for brain data and for the regulation of neurotechnology. The sensitivity of neuroimaging data has been recognized for over a decade, but the arrival of AI models trained on population-scale datasets has given those concerns new urgency and new commercial weight.
The geopolitical dimension is impossible to ignore. High-profile scandals such as the Cambridge Analytica affair demonstrated how personal data can be weaponized at scale, while contested episodes involving the genetic data of African communities and China’s ethnic minorities have shown how scientific data collection can become entangled with questions of exploitation and national pride. Governments are now treating data as critical infrastructure: China is intensifying its push to lead the world in AI and AI governance, the United States has launched the National Artificial Intelligence Research Resource and co-funded institutes studying the neural and cognitive foundations of AI, and the European Commission has articulated a comprehensive European strategy for data. In this environment, brain datasets are not merely scientific artifacts but instruments of national competitiveness, and restrictions on their movement follow naturally from that framing.
The consequences for global equity are among the most troubling. Neuroscience already suffers from severe geographic imbalance: surveys have documented limited magnetic resonance imaging availability in West Africa, analyses of two decades of African neuroscience publication trends reveal persistent underrepresentation, and researchers in sub-Saharan Africa report substantial barriers to sharing health data, including mistrust rooted in histories of extraction. Critics have described patterns of ‘data colonialism,’ in which data flows from lower-income regions to institutions in wealthier countries without reciprocal benefit. If data sovereignty rules harden along national lines while open data infrastructures remain concentrated in the Global North, the authors warn, the dynamics risk limiting representation in brain research, slowing innovation and reinforcing existing global inequities in brain health. The brain capital framing, which treats cognitive health as an economic resource, only sharpens these concerns, since the mental health burden in low- and middle-income countries is enormous while research capacity remains scarce.
The authors’ central proposal is structural: neuroscience needs an international data governance coordinating body capable of aligning research priorities with regulatory requirements across jurisdictions. This is not an entirely new idea in spirit. The International Neuroinformatics Coordinating Facility has long served as a standards organization for open and FAIR neuroscience, the BRAIN Initiative has built a data-sharing ecosystem, and earlier work by several of the same authors, including Damian Eke of the University of Nottingham, proposed international data governance for neuroscience in the journal Neuron in 2022. What is new is the scale of the challenge. With 162 national privacy laws, competing AI governance regimes and rapidly evolving neurotechnology, the coordination problem has outgrown ad hoc, community-level solutions.
On the technical side, the paper points to a mature ecosystem of tools that could anchor such coordination. FAIR principles, first articulated in 2016, now underpin standardized formats such as the Brain Imaging Data Structure, the Neurodata Without Borders ecosystem, hierarchical event descriptors, the neuroimaging data model, the openMINDS metadata framework and the SPARC data structure. Cloud platforms including EBRAINS, brainlife.io and the Austrian NeuroCloud demonstrate that federated analysis is feasible, and privacy-preserving architectures such as Beacons, the GA4GH task execution API and common governance models for trusted research environments show how data can remain under local control while still being discoverable and computable across borders. Consent instruments such as the Open Brain Consent and proposals for personal data use licenses suggest ways to give participants meaningful, durable control over how their neural data are used.
The authors also introduce a community-driven approach, illustrated in their figures as the BRIDGE approach, for developing international data governance frameworks for neural data, alongside practical governance instruments intended to enable coordinated implementation across jurisdictions. The guiding principle is that governance frameworks defined to facilitate research across national borders can accelerate science and innovation rather than constrain it. Recent controversies underscore why this matters now: neuroscientists protested changes to UK Biobank data access, and researchers have challenged proposed NIH human-data access policies, illustrating how unilateral decisions by major data holders can fracture the community. The paper’s reception, with peer review by scholars including Nita Farahany and Geraint Rees, reflects the breadth of expertise the problem now demands.
Whether the field can build such a coordinating body before fragmentation hardens into permanent data silos remains an open question. The authors, supported by funding from Wellcome and the NIH BRAIN Initiative’s BRAIN CONNECTS program, argue that the window for coordinated action is narrowing as AI raises the strategic value of neural data and governments respond with increasingly assertive sovereignty claims. Their argument amounts to a wager that the neuroscience community, working with regulators, funders and participants, can design governance that honors both the legitimate interests of states and the scientific imperative of open, representative, globally distributed data. The alternative, they suggest, is a future in which the brain data needed to understand and treat neurological and psychiatric disease are locked behind borders, leaving science slower, less diverse and less equitable for everyone.
Subject of Research: International data governance and data sovereignty in neuroscience and brain health research
Article Title: Reconciling global collaboration and data sovereignty in neuroscience
Article References: Ray, K. L., Botes, M., Collier, M., Yi, A., Hershman, S., Monteiro, T., Genuino, M., Poline, J.-B., Eke, D., Chavarriaga, R., Ihunwo, A. O., Moll, F. T., Nichols, T. E., & Pestilli, F. (2026). Reconciling global collaboration and data sovereignty in neuroscience. Nature Neuroscience. https://doi.org/10.1038/s41593-026-02468-w
Image Credits: AI Generated
DOI: 10.1038/s41593-026-02468-w
Keywords: neuroscience, data sovereignty, data governance, open science, neurodata privacy, artificial intelligence, neuroimaging, FAIR principles, GDPR, brain-computer interfaces, global equity, neuroethics
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Cassandra Pierce. (September 24, 2026). Brain Data Becomes a Geopolitical Battleground as Nations Tighten Control. Scienmag. https://scienmag.com/brain-data-becomes-a-geopolitical-battleground-as-nations-tighten-control/
Cassandra Pierce. “Brain Data Becomes a Geopolitical Battleground as Nations Tighten Control.” Scienmag, 24 September 2026, https://scienmag.com/brain-data-becomes-a-geopolitical-battleground-as-nations-tighten-control/. Accessed 24 September 2026.
Cassandra Pierce. “Brain Data Becomes a Geopolitical Battleground as Nations Tighten Control.” Scienmag. September 24, 2026. https://scienmag.com/brain-data-becomes-a-geopolitical-battleground-as-nations-tighten-control/
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