ReviewBrain topography2019
Unpacking Transient Event Dynamics in Electrophysiological Power Spectra.
Review in Brain topography, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- sBOSC: A Method for Source-Level Identification of Neural Oscillations in Electromagnetic Brain Signals.Psychophysiology · 2026Article
- Article
- Alpha oscillations are dysrhythmic in Fragile X syndrome.bioRxiv : the preprint server for biology · 2026Article
- Dynamic, state-dependent characteristics of cognitive fluctuations in Lewy body dementia: a magnetoencephalography study.Brain communications · 2026Article
- Wake EEG oscillation dynamics reflect both sleep pressure and brain maturation across childhood and adolescence.bioRxiv : the preprint server for biology · 2025Article
- Decoding the neural dynamics of everyday prospective remembering: a hidden Markov model approach.Frontiers in human neuroscience · 2025Article
- High-power transient 12-30 Hz beta event features as early biomarkers of Alzheimer's disease conversion: An MEG study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The effects of transcranial direct current stimulation on EEG power and complexity of ischemic stroke.Frontiers in neuroscience · 2025Article
- Brain state dynamics differ between eyes open and eyes closed rest.Human brain mapping · 2024Article
- Post-task responses following working memory and movement are driven by transient spectral bursts with similar characteristics.Human brain mapping · 2024Article
- Article
- Post-stroke upper limb recovery is correlated with dynamic resting-state network connectivity.Brain communications · 2024Article
- The GLM-spectrum: A multilevel framework for spectrum analysis with covariate and confound modelling.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- A data-driven network decomposition of the temporal, spatial, and spectral dynamics underpinning visual-verbal working memory processes.Communications biology · 2023Article
- Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data.Journal of neurophysiology · 2023Article
- Age-related differences in transient gamma band activity during working memory maintenance through adolescence.NeuroImage · 2023Article
- Article
- Dissociation between phase and power correlation networks in the human brain is driven by co-occurrent bursts.Communications biology · 2023Article
- Opening Questions in Visual Working Memory.Journal of cognitive neuroscience · 2022Article
- Robust estimation of 1/f activity improves oscillatory burst detection.The European journal of neuroscience · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Electrophysiological recordings of neuronal activity show spontaneous and task-dependent changes in their frequency-domain power spectra. These changes are conventionally interpreted as modulations in the amplitude of underlying oscillations. However, this overlooks the possibility of underlying transient spectral 'bursts' or events whose dynamics can map to changes in trial-average spectral power in numerous ways. Under this emerging perspective, a key challenge is to perform burst detection, i.e. to characterise single-trial transient spectral events, in a principled manner. Here, we describe how transient spectral events can be operationalised and estimated using Hidden Markov Models (HMMs). The HMM overcomes a number of the limitations of the standard amplitude-thresholding approach to burst detection; in that it is able to concurrently detect different types of bursts, each with distinct spectral content, without the need to predefine frequency bands of interest, and does so with less dependence on a priori threshold specification. We describe how the HMM can be used for burst detection and illustrate its benefits on simulated data. Finally, we apply this method to empirical data to detect multiple burst types in a task-MEG dataset, and illustrate how we can compute burst metrics, such as the task-evoked timecourse of burst duration.
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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.