Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

3.4K
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
3.4K
Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

2.5K
Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
2.5K
Neural Regulation01:37

Neural Regulation

43.9K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.9K
Dysrhythmias I: Introduction01:15

Dysrhythmias I: Introduction

716
Dysrhythmias refers to abnormalities in the heart's rhythm. They result from disruptions in the heart's electrical conduction system, which includes the sinoatrial(SA)node, atrioventricular(AV) node, the bundle of His, bundle branches, and Purkinje fibers.Definition and PathophysiologyDysrhythmias result from disorders of impulse formation, impulse conduction, or both. The heart contains specialized cells in the sinoatrial node, atrioventricular node, and the bundle of His and Purkinje fibers...
716
Brain Waves01:23

Brain Waves

4.5K
Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
4.5K
Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

592
Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per...
592

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Rapid, systematic updating of movement by accumulated decision evidence.

Nature communications·2024
Same author

Temporal integration is a robust feature of perceptual decisions.

eLife·2023
Same author

Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history.

PloS one·2022
Same author

The cultural evolution of love in literary history.

Nature human behaviour·2022
Same author

Proactive and reactive accumulation-to-bound processes compete during perceptual decisions.

Nature communications·2021
Same author

Author Correction: Response outcomes gate the impact of expectations on perceptual decisions.

Nature communications·2020

Related Experiment Video

Updated: Mar 7, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

12.4K

Disharmony in neural oscillations.

Alexandre Hyafil1

  • 1Idibaps, Barcelona, Spain alexandre.hyafil@gmail.com.

Journal of Neurophysiology
|February 10, 2017
PubMed
Summary

Cross-frequency phase coupling (PPC) detection is flawed by statistical bias and oscillation harmonics, questioning prior evidence of PPC in the hippocampus. This study reveals significant limitations in current methods for analyzing neural oscillations.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Signal Processing

Background:

  • Cross-frequency phase coupling (PPC) is theorized to be crucial for neural processing and cognitive functions.
  • Previous studies have reported evidence of PPC in various brain regions, including the hippocampus.

Purpose of the Study:

  • To investigate a potential statistical bias in the detection of cross-frequency phase coupling (PPC).
  • To re-evaluate existing evidence for PPC in the hippocampus.
  • To identify confounds affecting PPC detection methods.

Main Methods:

  • Analysis of neural recording data to identify statistical biases.
  • Development and application of novel statistical tests for PPC.
  • Examination of the influence of oscillation harmonics on PPC detection.
Keywords:
cross-frequency couplinghippocampusoscillationssynchrony

More Related Videos

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

9.7K
Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.6K

Related Experiment Videos

Last Updated: Mar 7, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

12.4K
Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

9.7K
Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.6K

Main Results:

  • A significant statistical bias was uncovered in common methods for detecting PPC.
  • Prior evidence for PPC in the hippocampus was found to be questionable due to this bias.
  • PPC detection methods were shown to be confounded by oscillation harmonics, leading to potential false positives.

Conclusions:

  • Current methods for detecting PPC in neural recordings are significantly flawed.
  • The reliability of previously reported PPC findings, especially in the hippocampus, needs re-evaluation.
  • Further research is required to develop robust methods for analyzing neural oscillations and their coupling.