ArticleBrain stimulation
Consistent linear and non-linear responses to invasive electrical brain stimulation across individuals and primate species with implanted electrodes.
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 53 citations in OpenAlex.
- Structural and Functional Connectivity Predict the Effects of Direct Brain Stimulation on Memory.bioRxiv : the preprint server for biology · 2026Article
- Why does invasive brain stimulation sometimes improve memory and sometimes impair it?PLoS biology · 2024Article
- Theta-burst direct electrical stimulation remodels human brain networks.Nature communications · 2024Article
- Brain-computer interfaces for neuropsychiatric disorders.Nature reviews bioengineering · 2024Article
- Spatial and amplitude dynamics of neurostimulation: Insights from the acute intrahippocampal kainate seizure mouse model.Epilepsia open · 2024Article
- The Neurostimulationist will see you now: prescribing direct electrical stimulation therapies for the human brain in epilepsy and beyond.Frontiers in human neuroscience · 2024Review
- Stimulation to probe, excite, and inhibit the epileptic brain.Epilepsia · 2023Article
- Neurophysiological mechanisms of deep brain stimulation across spatiotemporal resolutions.Brain : a journal of neurology · 2023Review
- Quantitative approaches to guide epilepsy surgery from intracranial EEG.Brain : a journal of neurology · 2023Article
- Article
- Closed-loop enhancement and neural decoding of cognitive control in humans.Nature biomedical engineering · 2023Article
- Causally mapping human threat extinction relevant circuits with depolarizing brain stimulation methods.Neuroscience and biobehavioral reviews · 2023Review
- Modular pipeline for reconstruction and localization of implanted intracranial ECoG and sEEG electrodes.PloS one · 2023Article
- Prefrontal network engagement by deep brain stimulation in limbic hubs.Frontiers in human neuroscience · 2023Article
- Stimulating native seizures with neural resonance: a new approach to localize the seizure onset zone.Brain : a journal of neurology · 2022Article
- AJILE12: Long-term naturalistic human intracranial neural recordings and pose.Scientific data · 2022Article
- Intracortical microstimulation pulse waveform and frequency recruits distinct spatiotemporal patterns of cortical neuron and neuropil activation.Journal of neural engineering · 2022Article
- Neuromotor prosthetic to treat stroke-related paresis: N-of-1 trial.Communications medicine · 2022Article
- Time-frequency signatures evoked by single-pulse deep brain stimulation to the subcallosal cingulate.Frontiers in human neuroscience · 2022Article
- Local and distant responses to single pulse electrical stimulation reflect different forms of connectivity.NeuroImage · 2021Article
Corrections and comments
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Authors and funding
16 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundElectrical neuromodulation via implanted electrodes is used in treating numerous neurological disorders, yet our knowledge of how different brain regions respond to varying stimulation parameters is sparse. OBJECTIVE/HYPOTHESIS: We hypothesized that the neural response to electrical stimulation is both region-specific and non-linearly related to amplitude and frequency.
methodsWe examined evoked neural responses following 400 ms trains of 10-400 Hz electrical stimulation ranging from 0.1 to 10 mA. We stimulated electrodes implanted in cingulate cortex (dorsal anterior cingulate and rostral anterior cingulate) and subcortical regions (nucleus accumbens, amygdala) of non-human primates (NHP, N = 4) and patients with intractable epilepsy (N = 15) being monitored via intracranial electrodes. Recordings were performed in prefrontal, subcortical, and temporal lobe locations.
resultsIn subcortical regions as well as dorsal and rostral anterior cingulate cortex, response waveforms depended non-linearly on frequency (Pearson's linear correlation r < 0.39), but linearly on current (r > 0.58). These relationships between location, and input-output characteristics were similar in homologous brain regions with average Pearson's linear correlation values r > 0.75 between species and linear correlation values between participants r > 0.75 across frequency and current values per brain region. Evoked waveforms could be described by three main principal components (PCs) which allowed us to successfully predict response waveforms across individuals and across frequencies using PC strengths as functions of current and frequency using brain region specific regression models.
conclusionsThese results provide a framework for creation of an atlas of input-output relationships which could be used in the principled selection of stimulation parameters per brain region.
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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.