ArticlePLoS computational biology2021
Enhancing oscillations in intracranial electrophysiological recordings with data-driven spatial filters.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
- A week in the life of the human brain reveals stable states punctuated by chaotic-like transitions.Nature communications · 2026Article
- Dissociating Contributions of Theta and Alpha Oscillations from Aperiodic Neural Activity in Human Visual Working Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
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- Direct interactions between the human insula and hippocampus during memory encoding.Nature neuroscience · 2025Article
- Differential representations of spatial location by aperiodic and alpha oscillatory activity in working memory.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Stability Analysis of Linear Time Varying Models Constructed from Intracranial EEG Recordings for Modeling Epileptogenic NetworksAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025Article
- A tutorial on fitting joint models of M/EEG and behavior to understand cognition.Behavior research methods · 2024Article
- Intracranial Recordings of the Human Orbitofrontal Cortical Activity during Self-Referential Episodic and Valenced Self-Judgments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- A supervised data-driven spatial filter denoising method for speech artifacts in intracranial electrophysiological recordings.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Functional connectivity discriminates epileptogenic states and predicts surgical outcome in children with drug resistant epilepsy.Scientific reports · 2023Article
- Overcoming harmonic hurdles: Genuine beta-band rhythms vs. contributions of alpha-band waveform shape.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Advances in human intracranial electroencephalography research, guidelines and good practices.NeuroImage · 2022Review
- Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.Journal of the Association for Research in Otolaryngology : JARO · 2022Review
- Investigating Data Cleaning Methods to Improve Performance of Brain-Computer Interfaces Based on Stereo-Electroencephalography.Frontiers in neuroscience · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
In invasive electrophysiological recordings, a variety of neural oscillations can be detected across the cortex, with overlap in space and time. This overlap complicates measurement of neural oscillations using standard referencing schemes, like common average or bipolar referencing. Here, we illustrate the effects of spatial mixing on measuring neural oscillations in invasive electrophysiological recordings and demonstrate the benefits of using data-driven referencing schemes in order to improve measurement of neural oscillations. We discuss referencing as the application of a spatial filter. Spatio-spectral decomposition is used to estimate data-driven spatial filters, a computationally fast method which specifically enhances signal-to-noise ratio for oscillations in a frequency band of interest. We show that application of these data-driven spatial filters has benefits for data exploration, investigation of temporal dynamics and assessment of peak frequencies of neural oscillations. We demonstrate multiple use cases, exploring between-participant variability in presence of oscillations, spatial spread and waveform shape of different rhythms as well as narrowband noise removal with the aid of spatial filters. We find high between-participant variability in the presence of neural oscillations, a large variation in spatial spread of individual rhythms and many non-sinusoidal rhythms across the cortex. Improved measurement of cortical rhythms will yield better conditions for establishing links between cortical activity and behavior, as well as bridging scales between the invasive intracranial measurements and noninvasive macroscale scalp measurements.
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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.