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

Longitudinal Research02:20

Longitudinal Research

13.5K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.5K
Longitudinal Studies01:26

Longitudinal Studies

548
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
548

You might also read

Related Articles

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

Sort by
Same author

Editorial: Integrating multilevel environmental influences on child brain development.

Journal of child psychology and psychiatry, and allied disciplines·2026
Same author

Radiogenomic analysis of muscle-invasive bladder cancer using CT-based texture analysis.

Bladder cancer (Amsterdam, Netherlands)·2026
Same author

Neural alterations in Pavlovian reversal learning link childhood trauma and transdiagnostic anxiety in youth.

Journal of affective disorders·2026
Same author

Early life adversity and cardiometabolic risk in adolescents: Comparison of dimensional and cumulative approaches to adversity.

Social science & medicine (1982)·2026
Same author

Nervous Control of Myocardial Infarction Outcomes.

JACC. Basic to translational science·2026
Same author

Corrigendum to "Brain structures with stronger genetic associations are not less associated with family- and state-level economic contexts" [Dev. Cogn. Neurosci. 70 (2024) 101455].

Developmental cognitive neuroscience·2026
Same journal

Untangling relationships between cognitive development and child and adolescent mental health: Findings from the ABCD Study.

Developmental cognitive neuroscience·2026
Same journal

Pubertal timing predicts resting-state functional connectivity of cortical networks.

Developmental cognitive neuroscience·2026
Same journal

Differential adolescent neurodevelopment of emotion processing across internalizing psychopathology and childhood adversity.

Developmental cognitive neuroscience·2026
Same journal

Developmental linearization of functional connectivity and its alteration in males with autism spectrum disorder.

Developmental cognitive neuroscience·2026
Same journal

Cognitive ability in childhood predicts adolescent structural and functional brain development: A longitudinal study.

Developmental cognitive neuroscience·2026
Same journal

Latent representations of early brain development: A multivariate normative model of brain structure and behaviour.

Developmental cognitive neuroscience·2026
See all related articles

Related Experiment Video

Updated: Feb 17, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

12.3K

Current methods and limitations for longitudinal fMRI analysis across development.

Tara Madhyastha1, Matthew Peverill2, Natalie Koh1

  • 1Radiology, University of Washington, United States.

Developmental Cognitive Neuroscience
|December 3, 2017
PubMed
Summary
This summary is machine-generated.

The human brain shows significant plasticity throughout life. This study reviews longitudinal functional magnetic resonance imaging (fMRI) analysis methods for developmental cognitive neuroscience, highlighting limitations and proposing new approaches.

Keywords:
Developmental changeFunctional magnetic resonance imaging (fMRI)General Linear ModelLongitudinal modelingStructural Equation Modeling

More Related Videos

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.6K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.9K

Related Experiment Videos

Last Updated: Feb 17, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

12.3K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.6K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.9K

Area of Science:

  • Developmental cognitive neuroscience
  • Neuroimaging
  • Human brain development

Background:

  • The human brain exhibits remarkable plasticity, undergoing significant changes from infancy through old age.
  • These dynamic brain changes are linked to alterations in cognition, emotion, and behavior across the lifespan.
  • Environmental influences on brain development are crucial, necessitating advanced research methods.

Purpose of the Study:

  • To provide an overview of statistical models for longitudinal change in developmental cognitive neuroscience.
  • To review existing software packages for longitudinal functional magnetic resonance imaging (fMRI) analysis.
  • To identify limitations in current software for developmental fMRI research and propose solutions.

Main Methods:

  • Review of common statistical models for analyzing longitudinal data in developmental cognitive neuroscience.
  • Evaluation of major software packages for longitudinal fMRI data analysis.
  • Identification of gaps in current analytical capabilities for developmental neuroimaging.

Main Results:

  • Existing statistical models and software packages have limitations in addressing complex developmental questions in cognitive neuroscience.
  • Certain critical developmental questions cannot be answered with currently available longitudinal fMRI analysis tools.
  • There is a need for novel approaches to model developmental changes in brain function.

Conclusions:

  • Current software for longitudinal fMRI analysis is insufficient for fully understanding developmental brain changes.
  • Alternative statistical and analytical approaches are proposed to overcome existing limitations.
  • Further methodological development is required to advance developmental cognitive neuroscience research using fMRI.