ReviewNature neuroscience2019
Brain-machine interfaces from motor to mood.
Review in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05327387 (Model-based Electrical Brain Stimulation), which is not on this map. Cited by 90 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.
Model-based Electrical Brain Stimulation
Who cites it
90 citing papers in PubMed, 262 citations in OpenAlex.
- Human learning of noninvasive brain-computer interfaces via manifold geometry.Nature neuroscience · 2026Article
- Mapping knowledge structure and emerging trends in non-invasive brain-computer interface for stroke rehabilitation.IBRO neuroscience reports · 2026Article
- ICTD: Combination of Improved CNN-Transformer and Enhanced Deep Canonical Correlation Analysis for Eye-Movement Emotion Classification.Brain sciences · 2026Article
- Brain-cancer interactions outside the CNS.Oncogene · 2026Review
- A modular, high-bandwidth, bidirectional implantable device for neural interrogation.bioRxiv : the preprint server for biology · 2026Article
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- Neurofeedback in Major Depression.Advances in experimental medicine and biology · 2026Review
- PQ-Neurolink: latency-aware post-quantum-ready secure communication for distributed brain-computer interfaces.Frontiers in systems neuroscience · 2026Article
- Contemporary Ethical Considerations in Psychiatric Neurosurgery.Stereotactic and functional neurosurgery · 2026Review
- Advancing Brain-Computer Interface Closed-Loop Systems for Neurorehabilitation: Systematic Review of AI and Machine Learning Innovations in Biomedical Engineering.JMIR biomedical engineering · 2025Review
- Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data.ArXiv · 2025Article
- Article
- Prioritized learning of cross-population neural dynamics.Journal of neural engineering · 2025Article
- High-Precision, Low-Threshold Neuromodulation With Ultraflexible Electrode Arrays for Brain-to-Brain Interfaces.Exploration (Beijing, China) · 2025Article
- Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data.Proceedings of machine learning research · 2025Article
- Large-scale foundation models and generative AI for BigData neuroscience.Neuroscience research · 2025Review
- Chronic Probing of Deep Brain Neuronal Activity Using Nanofibrous Smart Conducting Hydrogel-Based Brain-Machine Interface Probes.Small science · 2025Article
- Challenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation.Nature biomedical engineering · 2025Review
- MCL-SWT: Mirror Contrastive Learning with Sliding Window Transformer for Subject-Independent EEG Recognition.Brain sciences · 2025Article
- BRAID: Input-driven nonlinear dynamical modeling of neural-behavioral data.... International Conference on Learning Representations · 2025Article
30 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-machine interfaces (BMIs) create closed-loop control systems that interact with the brain by recording and modulating neural activity and aim to restore lost function, most commonly motor function in paralyzed patients. Moreover, by precisely manipulating the elements within the control loop, motor BMIs have emerged as new scientific tools for investigating the neural mechanisms underlying control and learning. Beyond motor BMIs, recent work highlights the opportunity to develop closed-loop mood BMIs for restoring lost emotional function in neuropsychiatric disorders and for probing the neural mechanisms of emotion regulation. Here we review significant advances toward functional restoration and scientific discovery in motor BMIs that have been guided by a closed-loop control view. By focusing on this unifying view of BMIs and reviewing recent work, we then provide a perspective on how BMIs could extend to the neuropsychiatric domain.
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.