ArticleNetwork neuroscience (Cambridge, Mass.)2019
Functional control of electrophysiological network architecture using direct neurostimulation in humans.
Article in Network neuroscience (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Longitudinal changes in control energy of brain networks in older adults at familial risk for Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- Review of Recent Advances in Implantable Brain-Computer Interfaces for the Restoration of Motor Function in Patients With Paralysis.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Structural and Functional Connectivity Predict the Effects of Direct Brain Stimulation on Memory.bioRxiv : the preprint server for biology · 2026Article
- Amyloid-β acute exposition affects the CA1 hippocampal network activity and its topological organization, evaluated with multielectrode arrays.Frontiers in dementia · 2026Article
- Brain stimulation preferentially influences long-range projections.Science advances · 2025Article
- Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem.NPJ digital medicine · 2025Article
- Stimulation mapping and whole-brain modeling reveal gradients of excitability and recurrence in cortical networks.Nature communications · 2025Article
- Context familiarity is a third kind of episodic memory distinct from item familiarity and recollection.iScience · 2024Article
- Why does invasive brain stimulation sometimes improve memory and sometimes impair it?PLoS biology · 2024Article
- Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies.Nature biomedical engineering · 2024Article
- Functional and anatomical connectivity predict brain stimulation's mnemonic effects.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Effective connectivity relates seizure outcome to electrode placement in responsive neurostimulation.Brain communications · 2024Article
- Macroscopic resting-state brain dynamics are best described by linear models.Nature biomedical engineering · 2024Article
- Closed-loop neurostimulation for the treatment of psychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Unearthing the mechanisms of responsive neurostimulation for epilepsy.Communications medicine · 2023Review
- Living on the edge: network neuroscience beyond nodes.Trends in cognitive sciences · 2023Review
- Noise improves the association between effects of local stimulation and structural degree of brain networks.PLoS computational biology · 2023Article
- Transitions between cognitive topographies: contributions of network structure, neuromodulation, and disease.bioRxiv : the preprint server for biology · 2023Article
- Advances in human intracranial electroencephalography research, guidelines and good practices.NeuroImage · 2022Review
- The expanding horizons of network neuroscience: From description to prediction and control.NeuroImage · 2022Review
Corrections and comments
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Authors and funding
23 authors.
Funding
Abstract
Chronically implantable neurostimulation devices are becoming a clinically viable option for treating patients with neurological disease and psychiatric disorders. Neurostimulation offers the ability to probe and manipulate distributed networks of interacting brain areas in dysfunctional circuits. Here, we use tools from network control theory to examine the dynamic reconfiguration of functionally interacting neuronal ensembles during targeted neurostimulation of cortical and subcortical brain structures. By integrating multimodal intracranial recordings and diffusion-weighted imaging from patients with drug-resistant epilepsy, we test hypothesized structural and functional rules that predict altered patterns of synchronized local field potentials. We demonstrate the ability to predictably reconfigure functional interactions depending on stimulation strength and location. Stimulation of areas with structurally weak connections largely modulates the functional hubness of downstream areas and concurrently propels the brain towards more difficult-to-reach dynamical states. By using focal perturbations to bridge large-scale structure, function, and markers of behavior, our findings suggest that stimulation may be tuned to influence different scales of network interactions driving cognition.
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