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

Socioemotional Experience and Gender Development01:30

Socioemotional Experience and Gender Development

332
Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
332
Aging01:26

Aging

713
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
713
Electric Potential and Potential Difference01:16

Electric Potential and Potential Difference

5.7K
Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.7K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.4K
Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

3.8K
The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.8K
Sum and Difference OpAmps01:22

Sum and Difference OpAmps

1.4K
Operational amplifiers (op-amps) are versatile devices that extend beyond amplification. In this context, two specific op-amp configurations are explored: the summing and difference amplifiers.
A summing amplifier, or an adder, utilizes an op-amp to merge multiple input signals into a single output signal. When audio signals are introduced into its input channels, the input resistors initiate currents that traverse feedback resistors, resulting in an output voltage. Applying Kirchhoff's current...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Inflammatory predictors of Post-COVID fatigue.

Brain, behavior, & immunity - health·2025
Same author

Systemic cytokines related to memory function 6-9 months and 12-15 months after SARS-CoV-2 infection.

Scientific reports·2024
Same author

Towards a comprehensive framework for complex walking tasks: Characterization, behavioral adaptations, and clinical implications in ageing and neurological populations.

Ageing research reviews·2024
Same author

Corrigendum to "Acute TNFα levels predict cognitive impairment 6-9 months after COVID-19 infection" [Psychoneuroendocrinology 153 (2023) 106104].

Psychoneuroendocrinology·2023
Same author

Acute TNFα levels predict cognitive impairment 6-9 months after COVID-19 infection.

Psychoneuroendocrinology·2023
Same author

Fully Immersive Virtual Reality Using 360° Videos to Manage Well-Being in Older Adults: A Scoping Review.

Journal of the American Medical Directors Association·2023

Related Experiment Video

Updated: Feb 6, 2026

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.8K

Age and gender differences in motor imagery.

L Subirats1, G Allali2, M Briansoulet1

  • 1ILFOMER, Institut Limousin de Formation aux métiers de la réadaptation, F-87000 Limoges, France.

Journal of the Neurological Sciences
|August 15, 2018
PubMed
Summary

Ageing affects motor imagery (MI) vividness, shifting towards kinesthetic senses, but not timing. Women show better timing in MI than men, with no link between vividness and timing.

Keywords:
AgeingMotor imageryTimed up and goTimingVividness

More Related Videos

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

2.1K
Skeletal Muscle Gender Dimorphism from Proteomics
09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

13.0K

Related Experiment Videos

Last Updated: Feb 6, 2026

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.8K
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

2.1K
Skeletal Muscle Gender Dimorphism from Proteomics
09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

13.0K

Area of Science:

  • Neuroscience
  • Motor Control
  • Human Movement Science

Background:

  • Limited research exists on how ageing and gender influence motor imagery (MI) dimensions like vividness and timing.
  • Understanding these effects is crucial for fields ranging from sports science to rehabilitation.

Purpose of the Study:

  • To investigate the impact of age and gender on the vividness and timing of motor imagery.
  • To explore the relationship between vividness and timing capabilities in motor imagery.

Main Methods:

  • Assessed 72 participants (41 young, 31 older) on motor imagery vividness using the Vividness of Movement Imagery Questionnaire (VMIQ-2).
  • Measured motor imagery timing using the difference between actual and imagined Timed Up and Go (TUG) tests (delta-TUG).

Main Results:

  • Older adults exhibited a shift from visual to kinesthetic imagery (vividness) compared to younger adults, with no age-related difference in timing.
  • No significant differences in vividness were found between genders, but women demonstrated superior timing performance.
  • Motor imagery vividness scores (VMIQ-2) were not correlated with timing performance (delta-TUG).

Conclusions:

  • Motor imagery vividness is influenced by ageing, showing a visual-to-kinesthetic shift, while timing remains unaffected.
  • Gender impacts motor imagery timing, with women performing better, but does not affect vividness.
  • There is no significant association between the vividness and timing dimensions of motor imagery.