scholarly journals ZapLine: a simple and effective method to remove power line artifacts

2019 ◽  
Author(s):  
Alain de Cheveigné
Keyword(s):  
Local Field ◽  
Local Field Potentials ◽  
Real Data ◽  
Spatial Filtering ◽  
Power Line ◽  
New Method ◽  
Field Potentials ◽  
Simple Method ◽  
Multichannel Data ◽  
Human Electrophysiology

AbstractPower line artifacts are the bane of animal and human electrophysiology. A number of methods are available to help attenuate or eliminate them, but each has its own set of drawbacks. In this brief note I present a simple method that combines the advantages of spectral and spatial filtering, while minimizing their downsides. This method is applicable to multichannel data such as electroencephalography (EEG), magnetoencephalography (MEG), or multichannel local field potentials (LFP). I briefly review past methods, pointing out their drawbacks, describe the new method, and evaluate the outcome using synthetic and real data.

Removal of Spurious Correlations Between Spikes and Local Field Potentials

2011 ◽  
Vol 105 (1) ◽  
pp. 474-486 ◽  
Author(s):  
Theodoros P. Zanos ◽  
Patrick J. Mineault ◽  
Christopher C. Pack
Keyword(s):  
Local Field ◽  
Local Field Potentials ◽  
Ground Truth ◽  
Real Data ◽  
Network Activity ◽  
Mathematical Framework ◽  
Field Potentials ◽  
Sensory Stimuli ◽  
Electrophysiological Recordings ◽  
Low Pass

Single neurons carry out important sensory and motor functions related to the larger networks in which they are embedded. Understanding the relationships between single-neuron spiking and network activity is therefore of great importance and the latter can be readily estimated from low-frequency brain signals known as local field potentials (LFPs). In this work we examine a number of issues related to the estimation of spike and LFP signals. We show that spike trains and individual spikes contain power at the frequencies that are typically thought to be exclusively related to LFPs, such that simple frequency-domain filtering cannot be effectively used to separate the two signals. Ground-truth simulations indicate that the commonly used method of estimating the LFP signal by low-pass filtering the raw voltage signal leads to artifactual correlations between spikes and LFPs and that these correlations exert a powerful influence on popular metrics of spike–LFP synchronization. Similar artifactual results were seen in data obtained from electrophysiological recordings in macaque visual cortex, when low-pass filtering was used to estimate LFP signals. In contrast LFP tuning curves in response to sensory stimuli do not appear to be affected by spike contamination, either in simulations or in real data. To address the issue of spike contamination, we devised a novel Bayesian spike removal algorithm and confirmed its effectiveness in simulations and by applying it to the electrophysiological data. The algorithm, based on a rigorous mathematical framework, outperforms other methods of spike removal on most metrics of spike–LFP correlations. Following application of this spike removal algorithm, many of our electrophysiological recordings continued to exhibit spike–LFP correlations, confirming previous reports that such relationships are a genuine aspect of neuronal activity. Overall, these results show that careful preprocessing is necessary to remove spikes from LFP signals, but that when effective spike removal is used, spike–LFP correlations can potentially yield novel insights about brain function.

scholarly journals Altered Emotional Phenotypes in Chronic Kidney Disease Following 5/6 Nephrectomy

2021 ◽  
Vol 11 (7) ◽  
pp. 882
Author(s):  
Yeon Hee Yu ◽  
Seong-Wook Kim ◽  
Dae-Kyoon Park ◽  
Ho-Yeon Song ◽  
Duk-Soo Kim ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Local Field ◽  
Smooth Muscle Actin ◽  
Local Field Potentials ◽  
Renal Tissue ◽  
Field Potentials ◽  
Wild Type ◽  
Sprague Dawley ◽  
Rat Models

Increased prevalence of chronic kidney disease (CKD) and neurological disorders including cerebrovascular disease, cognitive impairment, peripheral neuropathy, and dysfunction of central nervous system have been reported during the natural history of CKD. Psychological distress and depression are serious concerns in patients with CKD. However, the relevance of CKD due to decline in renal function and the pathophysiology of emotional deterioration is not clear. Male Sprague Dawley rats were divided into three groups: sham control, 5/6 nephrectomy at 4 weeks, and 5/6 nephrectomy at 10 weeks. Behavior tests, local field potentials, and histology and laboratory tests were conducted and investigated. We provided direct evidence showing that CKD rat models exhibited anxiogenic behaviors and depression-like phenotypes, along with altered hippocampal neural oscillations at 1–12 Hz. We generated CKD rat models by performing 5/6 nephrectomy, and identified higher level of serum creatinine and blood urea nitrogen (BUN) in CKD rats than in wild-type, depending on time. In addition, the level of α-smooth muscle actin (α-SMA) and collagen I for renal tissue was markedly elevated, with worsening fibrosis due to renal failures. The level of anxiety and depression-like behaviors increased in the 10-week CKD rat models compared with the 4-week rat models. In the recording of local field potentials, the power of delta (1–4 Hz), theta (4–7 Hz), and alpha rhythm (7–12 Hz) was significantly increased in the hippocampus of CKD rats compared with wild-type rats. Together, our findings indicated that anxiogenic behaviors and depression can be induced by CKD, and these abnormal symptoms can be worsened as the onset of CKD was prolonged. In conclusion, our results show that the hippocampus is vulnerable to uremia.

scholarly journals Ictal onset patterns of local field potentials, high frequency oscillations, and unit activity in human mesial temporal lobe epilepsy

Epilepsia ◽  
2015 ◽  
Vol 57 (1) ◽  
pp. 111-121 ◽  
Author(s):  
Shennan Aibel Weiss ◽  
Catalina Alvarado-Rojas ◽  
Anatol Bragin ◽  
Eric Behnke ◽  
Tony Fields ◽  
...  
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Local Field ◽  
Unit Activity ◽  
High Frequency ◽  
Local Field Potentials ◽  
Mesial Temporal Lobe Epilepsy ◽  
Field Potentials ◽  
High Frequency Oscillations ◽  
Mesial Temporal Lobe
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