ArticleFrontiers in human neuroscience2012
Multivariate autoregressive models with exogenous inputs for intracerebral responses to direct electrical stimulation of the human brain.
Article in Frontiers in human neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Quantifying State-Dependent Control Properties of Brain Dynamics from Perturbation Responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Analyzing the brain's dynamic response to targeted stimulation using generative modeling.Network neuroscience (Cambridge, Mass.) · 2025Review
- Predictive modeling of evoked intracranial EEG response to medial temporal lobe stimulation in patients with epilepsy.Communications biology · 2024Article
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- External drivers of BOLD signal's non-stationarity.PloS one · 2022Article
- Brain Synchronization and Multivariate Autoregressive (MVAR) Modeling in Cognitive Neurodynamics.Frontiers in systems neuroscience · 2021Review
- Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up.Brain sciences · 2020Review
- Effect of Closed-Loop Direct Electrical Stimulation during Sleep Spindles in Humans.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Model-based design for seizure control by stimulation.Journal of neural engineering · 2020Article
- Assessing recurrent interactions in cortical networks: Modeling EEG response to transcranial magnetic stimulation.Journal of neuroscience methods · 2019Article
- Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory.Entropy (Basel, Switzerland) · 2018Article
- Estimating cortical column sensory networks in rodents from micro-electrocorticograph (μECoG) recordings.NeuroImage · 2017Article
- Unified framework for information integration based on information geometry.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Measuring Integrated Information from the Decoding Perspective.PLoS computational biology · 2016Article
- Complexity of Multi-Dimensional Spontaneous EEG Decreases during Propofol Induced General Anaesthesia.PloS one · 2015Article
- A contemporary research topic: manipulative approaches to human brain dynamics.Frontiers in human neuroscience · 2015Article
- Directional influence between the human amygdala and orbitofrontal cortex at the time of decision-making.PloS one · 2014Article
- Consciousness in humans and non-human animals: recent advances and future directions.Frontiers in psychology · 2013Review
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6 authors.
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Abstract
A multivariate autoregressive (MVAR) model with exogenous inputs (MVARX) is developed for describing the cortical interactions excited by direct electrical current stimulation of the cortex. Current stimulation is challenging to model because it excites neurons in multiple locations both near and distant to the stimulation site. The approach presented here models these effects using an exogenous input that is passed through a bank of filters, one for each channel. The filtered input and a random input excite a MVAR system describing the interactions between cortical activity at the recording sites. The exogenous input filter coefficients, the autoregressive coefficients, and random input characteristics are estimated from the measured activity due to current stimulation. The effectiveness of the approach is demonstrated using intracranial recordings from three surgical epilepsy patients. We evaluate models for wakefulness and NREM sleep in these patients with two stimulation levels in one patient and two stimulation sites in another resulting in a total of 10 datasets. Excellent agreement between measured and model-predicted evoked responses is obtained across all datasets. Furthermore, one-step prediction is used to show that the model also describes dynamics in pre-stimulus and evoked recordings. We also compare integrated information-a measure of intracortical communication thought to reflect the capacity for consciousness-associated with the network model in wakefulness and sleep. As predicted, higher information integration is found in wakefulness than in sleep for all five cases.
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