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

Variability: Analysis01:11

Variability: Analysis

609
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
609
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

4.3K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
4.3K

You might also read

Related Articles

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

Sort by
Same author

Self-supported catalysts.

Chemical reviews·2008
Same author

[The local control of radiotherapy following Ivor-Lewis esophagectomy in the patients with stage II A middle-third thoracic esophageal cancer].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2008
Same author

Magnetic loading of carbon nanotube/nano-Fe(3)O(4) composite for electrochemical sensing.

Talanta·2008
Same author

Carbon nanotube/polystyrene composite electrode for microchip electrophoretic determination of rutin and quercetin in Flos Sophorae Immaturus.

Talanta·2008
Same author

[Observation on efficacy of large volume whole lung lavage in treatment of pneumoconiosis].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2008
Same author

[Application of large volume whole lung lavage in pneumoconiosis].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2008

Related Experiment Video

Updated: Mar 13, 2026

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia
13:08

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

9.5K

Variance decomposition for single-subject task-based fMRI activity estimates across many sessions.

Javier Gonzalez-Castillo1, Gang Chen2, Thomas E Nichols3

  • 1Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.

Neuroimage
|October 25, 2016
PubMed
Summary

This study analyzed fMRI data variability in subjects, finding that measurement error dominates. However, session, run, and block variances show distinct spatial patterns across brain regions and networks.

Keywords:
Longitudinal studiesTask-based fMRIVariance decomposition

More Related Videos

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.4K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.7K

Related Experiment Videos

Last Updated: Mar 13, 2026

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia
13:08

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

9.5K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.4K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.7K

Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Data Analysis

Background:

  • Task-based functional Magnetic Resonance Imaging (fMRI) is crucial for understanding brain function.
  • Quantifying sources of within-subject variability is essential for reliable fMRI results.
  • Previous studies have not extensively characterized the spatial distribution of different variance components in fMRI.

Purpose of the Study:

  • To decompose within-subject variance in task-based fMRI data into distinct components.
  • To investigate the spatial distribution of these variance components across the brain.
  • To understand the implications for test-retest reliability in different brain regions and networks.

Main Methods:

  • Exploratory within-subject variance decomposition analysis.
  • Utilized a task-based fMRI dataset with a large number of repeated measures (500 trials per subject).
  • Segregated variance into across-sessions, across-runs, across-blocks, and residual error components.

Main Results:

  • Measurement error was the dominant variance component globally.
  • Across-session variance was prominent in the occipital cortex.
  • Across-runs variance was significant in the rest of the brain, and across-block variance was higher in cognitive networks.

Conclusions:

  • Within-subject variability in fMRI exhibits distinct spatial patterns across brain regions and networks.
  • Different brain areas possess inherent, region-specific levels of test-retest reliability.
  • Findings highlight the importance of considering temporal and spatial variability for accurate fMRI interpretation.