ArticleeNeuro
Filter-Based Phase Shifts Distort Neuronal Timing Information.
Article in eNeuro. 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, 23 citations in OpenAlex.
- EEG and IMU Gait Signal Processing: A Comparative Assessment of the "Reza" Exponential Filter and Classical Filters.Sensors (Basel, Switzerland) · 2026Article
- The role of attention in the generation of anticipatory potentials to affective stimuli: an ERP and source analysis study.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- 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
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- Spontaneous Spiking Is Governed by Broadband Fluctuations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Article
- Standardized measurement error: A universal metric of data quality for averaged event-related potentials.Psychophysiology · 2021Article
- Disinhibition of the Nucleus Accumbens Leads to Macro-Scale Hyperactivity Consisting of Micro-Scale Behavioral Segments Encoded by Striatal Activity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- A Miniature Dual-Biomarker-Based Sensing and Conditioning Device for Closed-Loop DBS.IEEE journal of translational engineering in health and medicine · 2019Article
- Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Filters are widely used for the modulation, typically attenuation, of amplitudes of different frequencies within neurophysiological signals. Filters, however, also induce changes in the phases of different frequencies whose amplitude is unmodulated. These phase shifts cause time lags in the filtered signals, leading to a disruption of the timing information between different frequencies within the same signal and between different signals. The emerging time lags can be either constant in the case of linear phase (LP) filters or vary as a function of the frequency in the more common case of non-LP (NLP) filters. Since filters are used ubiquitously online in the early stages of data acquisition, the vast majority of neurophysiological signals thus suffer from distortion of the timing information even prior to their sampling. This distortion is often exacerbated by further multiple offline filtering stages of the sampled signal. The distortion of timing information may cause misinterpretation of the results and lead to erroneous conclusions. Here we present a variety of typical examples of filter-induced phase distortions and discuss the evaluation and restoration of the timing information underlying the original signal.
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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.