ArticleNature biomedical engineering2021
Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation.
Article in Nature biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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Who cites it
70 citing papers in PubMed, 137 citations in OpenAlex.
- Deep Brain Stimulation for Depression Informed by Intracranial Recordings.Biological psychiatry · 2022Trial
- MRI-compatible soft fiber bioelectronics for multimodal assessment of electrical neural stimulation on whole-brain activation.National science review · 2026Article
- Control of cortical population activity with patterned microstimulation.bioRxiv : the preprint server for biology · 2026Article
- Artificial intelligence as a surrogate brain: bridging neural dynamical models and data.National science review · 2026Review
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- Closed-loop neuromodulation: a paradigm shift in precision neuroscience for clinical and cognitive applications.Frontiers in neuroscience · 2026Review
- Machine Learning-Based Classification of ICU-Acquired Neuromuscular Weakness: A Comparative Study in Survivors of Critical Illness.Life (Basel, Switzerland) · 2025Article
- Neuroprosthetic closed-loop strategy for sustained blood pressure reduction via simultaneous stimulation and recording from the spinal cord.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Article
- Article
- Prioritized learning of cross-population neural dynamics.Journal of neural engineering · 2025Article
- Transformer-based long-term predictor of subthalamic beta activity in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression.bioRxiv : the preprint server for biology · 2025Article
- Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem.NPJ digital medicine · 2025Article
- BRAID: Input-driven nonlinear dynamical modeling of neural-behavioral data.... International Conference on Learning Representations · 2025Article
- Essential tremor disrupts rhythmic brain networks during naturalistic movement.Neurobiology of disease · 2025Article
- Multi-coil TMS for preclinical applications in ultra-high-field MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Analyzing the brain's dynamic response to targeted stimulation using generative modeling.Network neuroscience (Cambridge, Mass.) · 2025Review
- Koopman-based linearization of preparatory EEG dynamics in Parkinson's disease during galvanic vestibular stimulation.Frontiers in human neuroscience · 2025Article
- Inferring context-dependent computations through linear approximations of prefrontal cortex dynamics.Science advances · 2024Article
- Spectral Learning of Shared Dynamics Between Generalized-Linear Processes.Advances in neural information processing systems · 2024Article
10 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Direct electrical stimulation can modulate the activity of brain networks for the treatment of several neurological and neuropsychiatric disorders and for restoring lost function. However, precise neuromodulation in an individual requires the accurate modelling and prediction of the effects of stimulation on the activity of their large-scale brain networks. Here, we report the development of dynamic input-output models that predict multiregional dynamics of brain networks in response to temporally varying patterns of ongoing microstimulation. In experiments with two awake rhesus macaques, we show that the activities of brain networks are modulated by changes in both stimulation amplitude and frequency, that they exhibit damping and oscillatory response dynamics, and that variabilities in prediction accuracy and in estimated response strength across brain regions can be explained by an at-rest functional connectivity measure computed without stimulation. Input-output models of brain dynamics may enable precise neuromodulation for the treatment of disease and facilitate the investigation of the functional organization of large-scale brain networks.
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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.