ArticleJournal of neuroscience methods2022
Toolkit for Oscillatory Real-time Tracking and Estimation (TORTE).
Article in Journal of neuroscience methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Oscillatory brain state-dependent stimulation with transcranial magnetic stimulation combined with electroencephalography.Nature protocols · 2026Review
- Optimizing real-time phase detection in diverse rhythmic biological signals for phase-specific neurostimulation.Journal of neural engineering · 2025Article
- Interneuron theta phase locking controls seizure susceptibility.bioRxiv : the preprint server for biology · 2025Article
- Closed-loop control of theta oscillations enhances human hippocampal network connectivity.Nature communications · 2025Article
- Real-time TMS-EEG for brain state-controlled research and precision treatment: a narrative review and guide.Journal of neural engineering · 2024Review
- Method for Synthetic Generation of LFP Data for Testing of Feature Extraction AlgorithmsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Different Methods to Estimate the Phase of Neural Rhythms Agree But Only During Times of Low Uncertainty.eNeuro · 2023Article
- Different methods to estimate the phase of neural rhythms agree, but only during times of low uncertainty.bioRxiv : the preprint server for biology · 2023Article
- Manipulating single-unit theta phase-locking with PhaSER: An open-source tool for real-time phase estimation and manipulation.bioRxiv : the preprint server for biology · 2023Article
- Phase-adaptive brain stimulation of striatal D1 medium spiny neurons in dopamine-depleted mice.Scientific reports · 2022Article
- Closed-Loop Deep Brain Stimulation for Psychiatric Disorders.Harvard review of psychiatryArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundClosing the loop between brain activity and behavior is one of the most active areas of development in neuroscience. There is particular interest in developing closed-loop control of neural oscillations. Many studies report correlations between oscillations and functional processes. Oscillation-informed closed-loop experiments might determine whether these relationships are causal and would provide important mechanistic insights which may lead to new therapeutic tools. These closed-loop perturbations require accurate estimates of oscillatory phase and amplitude, which are challenging to compute in real time. NEW
methodWe developed an easy to implement, fast and accurate Toolkit for Oscillatory Real-time Tracking and Estimation (TORTE). TORTE operates with the open-source Open Ephys GUI (OEGUI) system, making it immediately compatible with a wide range of acquisition systems and experimental preparations.
resultsTORTE efficiently extracts oscillatory phase and amplitude from a target signal and includes a variety of options to trigger closed-loop perturbations. Implementing these tools into existing experiments is easy and adds minimal latency to existing protocols. COMPARISON WITH EXISTING
methodsMost labs use in-house lab-specific approaches, limiting replication and extension of their experiments by other groups. Accuracy of the extracted analytic signal and accuracy of oscillation-informed perturbations with TORTE match presented results by these groups. However, TORTE provides access to these tools in a flexible, easy to use toolkit without requiring proprietary software.
conclusionWe hope that the availability of a high-quality, open-source, and broadly applicable toolkit will increase the number of labs able to perform oscillatory closed-loop experiments, and will improve the replicability of protocols and data across labs.
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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.