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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.5K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
12.5K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

329
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
329

You might also read

Related Articles

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

Sort by
Same author

Author Correction: Cerebellar aging is spatially heterogeneous and supports cognitive resilience in later life.

Nature neuroscience·2026
Same author

Charting Cervical Spinal Cord Morphometry Across the Lifespan.

bioRxiv : the preprint server for biology·2026
Same author

The genetic architecture of cortical similarity networks.

Nature communications·2026
Same author

An open, fully-processed data resource for studying mood and sleep variability in the developing brain.

Aperture neuro·2026
Same author

Patterns of brain-wide associations reflect socioeconomics.

Science (New York, N.Y.)·2026
Same author

Developmental variation in basal ganglia tissue iron, neurocognitive functioning, and impulsivity is associated with substance use trajectories in youth.

Nature communications·2026
Same journal

Retraction Note: NSD2 targeting reverses plasticity and drug resistance in prostate cancer.

Nature·2026
Same journal

Enhanced B cell priming induces broadly neutralizing HIV-1 apex antibodies.

Nature·2026
Same journal

Vaccination elicits HIV broadly neutralizing antibodies in primates.

Nature·2026
Same journal

Child online safety needs more than social-media bans.

Nature·2026
Same journal

Ebola preparedness must start with ecosystems and before humans show symptoms.

Nature·2026
Same journal

AI tools can speed up thinking, but evidence still comes from the lab bench.

Nature·2026
See all related articles

Related Experiment Video

Updated: Jun 6, 2025

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

2.2K

Study design features increase replicability in brain-wide association studies.

Kaidi Kang1, Jakob Seidlitz2,3,4, Richard A I Bethlehem5

  • 1Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA. kaidi.kang@vanderbilt.edu.

Nature
|November 28, 2024
PubMed
Summary
This summary is machine-generated.

Optimizing study design is crucial for enhancing the reliability of brain-wide association studies (BWAS). Careful consideration of sampling and analytical models significantly improves effect sizes and replicability in brain-behavior research.

More Related Videos

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

16.8K
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

25.2K

Related Experiment Videos

Last Updated: Jun 6, 2025

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

2.2K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

16.8K
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

25.2K

Area of Science:

  • Neuroimaging
  • Psychiatric Neuroscience
  • Biostatistics

Background:

  • Brain-wide association studies (BWAS) are essential for understanding brain-behavior relationships.
  • Recent research highlights the need for large sample sizes to ensure BWAS replicability.
  • Standardized effect sizes in BWAS are often influenced by study design choices.

Purpose of the Study:

  • To investigate how optimizing study design impacts standardized effect sizes and replicability in BWAS.
  • To provide guidance for improving the design of future BWAS.
  • To analyze the influence of covariate variability and study type on BWAS effect sizes.

Main Methods:

  • Performed meta-analyses on a robust effect size index from 63 longitudinal and cross-sectional MRI studies (77,695 scans) from the Lifespan Brain Chart Consortium.
  • Analyzed age effects on brain measures from UK Biobank and ADNI datasets, modifying study designs via sampling schemes.
  • Evaluated longitudinal sampling schemes on cognitive, psychopathology, and demographic associations using the Adolescent Brain and Cognitive Development dataset.

Main Results:

  • BWAS examining brain volume and age associations showed larger standardized effect sizes with greater covariate variability and in longitudinal studies.
  • Modifying study designs through sampling schemes demonstrably improved standardized effect sizes and replicability for age-related brain changes.
  • Common longitudinal models, assuming equal between- and within-subject changes, can paradoxically reduce effect sizes and replicability; explicitly modeling these effects optimizes them separately.

Conclusions:

  • Optimizing study design, including sampling strategies and analytical models, is critical for enhancing the standardized effect sizes and replicability of BWAS.
  • Explicitly modeling between-subject and within-subject effects in longitudinal analyses prevents conflation and allows for separate optimization.
  • These findings offer practical guidance for researchers to improve the robustness and generalizability of brain-wide association studies.