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

Response Surface Methodology01:16

Response Surface Methodology

297
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
297
Regression Toward the Mean01:52

Regression Toward the Mean

6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

297
According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
297

You might also read

Related Articles

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

Sort by
Same author

Toward practical BCIs: a BMNABC-based feature selection and sensor optimization framework for implicit learning detection from multimodal EEG-fNIRS data.

Frontiers in human neuroscience·2026
Same author

Discovery of EEG effective connectivity during visual motor imagery with multi-scale symbolic transfer entropy.

Scientific reports·2025
Same author

An Eye Movement Classification Method Based on Cascade Forest.

IEEE journal of biomedical and health informatics·2024
Same author

Identifying the Effect of Cognitive Motivation with the Method Based on Temporal Association Rule Mining Concept.

Sensors (Basel, Switzerland)·2024
Same author

A simultaneous EEG-fNIRS dataset of the visual cognitive motivation study in healthy adults.

Data in brief·2024
Same author

Cross Domain Correlation Maximization for Enhancing the Target Recognition of SSVEP-Based Brain-Computer Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2023
Same journal

Dynorphinergic neuroadaptations in the islands of Calleja: implications for alcohol use disorder.

Neuroscience letters·2026
Same journal

Differential vulnerability of cochlear nuclei to Lmx1 deficiency: abnormal patterning and implications for auditory circuitry.

Neuroscience letters·2026
Same journal

Role of nNOS/sGC pathway in the insular cortex in control of cardiovascular, autonomic and corticosterone responses to restraint stress in rats.

Neuroscience letters·2026
Same journal

Jak1 inhibition reduces acute allodynia induced by specific upstream cytokines in rats: implications for the onset of Jak1 pain modulation.

Neuroscience letters·2026
Same journal

Glucocorticoids-induced depressive-like behaviors in mice: oral ingestion of corticosterone or hydrocortisone - A comparative study.

Neuroscience letters·2026
Same journal

Data-driven clustering of prefrontal activation identifies functional phenotypes under prioritized dual-task walking conditions in Parkinson's disease.

Neuroscience letters·2026
See all related articles

Related Experiment Video

Updated: Sep 26, 2025

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

1.2K

Relationship between rTMS effects and MEP features before rTMS.

Kazuhisa Nojima1, Keiji Iramina2

  • 1Graduate School of Systems Life Sciences, Kyushu University, 1-1-3 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

Neuroscience Letters
|November 16, 2017
PubMed
Summary
This summary is machine-generated.

Repetitive transcranial magnetic stimulation (rTMS) can modulate cortical excitability. This study found that baseline motor evoked potential (MEP) amplitude and latency influence how 1 Hz rTMS affects the motor cortex.

Keywords:
Cortical excitabilityMotor evoked potentialsRepetitive transcranial magnetic stimulation

More Related Videos

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

788
Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation
09:52

Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation

Published on: February 23, 2020

9.3K

Related Experiment Videos

Last Updated: Sep 26, 2025

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

1.2K
Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

788
Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation
09:52

Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation

Published on: February 23, 2020

9.3K

Area of Science:

  • Neuroscience
  • Neuromodulation
  • Clinical Neurophysiology

Background:

  • Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive brain stimulation technique.
  • rTMS can modulate cortical excitability, with inhibitory effects typically observed at frequencies below 1 Hz.
  • 1 Hz rTMS may induce facilitative effects, but this is dependent on stimulation parameters and individual subject characteristics.

Purpose of the Study:

  • To investigate subject-specific features influencing the effect of 1 Hz rTMS.
  • To determine how baseline motor evoked potential (MEP) characteristics correlate with rTMS-induced modulation.
  • To identify predictors of rTMS response based on pre-stimulation MEPs.

Main Methods:

  • Measurement of motor evoked potentials (MEPs) under varying rTMS conditions (intensity, pulse number).
  • Analysis of MEP features (amplitude, latency) prior to rTMS application.
  • Correlation analysis between pre-rTMS MEP features and observed rTMS effects.

Main Results:

  • Baseline MEP amplitude and onset latency significantly influence the rTMS effect.
  • Negative correlations were observed between MEP amplitude/latency and rTMS modulation.
  • MEPs with smaller amplitude and earlier latency were less affected by 1 Hz rTMS inhibition.

Conclusions:

  • Subject-specific MEP features, particularly amplitude and latency, are crucial determinants of 1 Hz rTMS outcomes.
  • Understanding these pre-stimulation MEP characteristics can help predict individual responses to rTMS.
  • This research provides insights into optimizing rTMS protocols by considering individual neurophysiological profiles.