Evidence map›Paper›PMID 42627726›Full record

ReviewAnnals of the New York Academy of Sciences2026

Neurotechnological Natives and the Neurotechnology Shift: A Research Agenda for the Brain-as-Interface Era.

José M Muñoz

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

José M MuñozInternational Neurotechnology Governance Observatory (INEGOV), International Center for Neuroscience and Ethics (CINET), Tatiana Foundation, Madrid, Spain.ORCID https://orcid.org/0000-0002-1456-9439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurotechnologies are increasingly moving beyond clinical and laboratory environments into a growing range of everyday contexts, including consumer markets, workplaces, and educational settings. This article presents the concept of the neurotechnology shift, understood as a technoscientific, cognitive, and sociocultural transformation through which neurotechnologies progressively expand into daily life, turning the brain itself into a shared interface between biological cognition and digital systems. This condition may eventually give rise to neurotechnological natives, a concept that is introduced here as a heuristic hypothesis intended to guide interdisciplinary research. Rather than predicting the emergence of a homogeneous generation shaped by neurotechnologies, the concept functions as an analytical tool to structure inquiry into the implications of brain-technology interaction in everyday contexts. To this end, the article outlines a research agenda organized across three dimensions of the neurotechnology shift: technoscientific infrastructures enabling scalable brain-technology interaction and neurodata ecosystems; cognitive implications related to neural plasticity, identity, impulse control, and language processes; and sociocultural transformations concerning governance, inequality and access, and collective imaginaries. Understanding the dynamics and bidirectional interactions across these three dimensions is essential for anticipating the ethical, legal, and societal implications of the emerging brain-as-interface era.

Indexed as

BrainBrain-Computer InterfacesNeurosciencesCognitionHumansResearchbrain‐as‐interfacecognitive libertydirect‐to‐consumer neurotechnologiesneurodataneurotechnological nativesneurotechnologiesneurotechnology shift

Identifiers

PMID42627726
PMCPMC13496363

What OpenQuestion holds

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Registered trials

None linked

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.