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

14.8K
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...
14.8K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

677
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...
677
Brain Imaging01:14

Brain Imaging

421
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
421
Human Genetics01:28

Human Genetics

912
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
912

You might also read

Related Articles

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

Sort by
Same author

Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion.

Computational diffusion MRI : MICCAI Workshop·2017
Same author

Robust Fusion of Diffusion MRI Data for Template Construction.

Scientific reports·2017
Same author

Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2017
Same author

Segmenting hippocampal subfields from 3T MRI with multi-modality images.

Medical image analysis·2017
Same author

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.

Machine learning in medical imaging. MLMI (Workshop)·2017
Same author

Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes.

IEEE transactions on medical imaging·2017

Related Experiment Video

Updated: Oct 27, 2025

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease
04:22

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Published on: May 20, 2024

1.1K

Robust and Discriminative Brain Genome Association Study.

Xiaofeng Zhu1, Dinggang Shen2

  • 1University of Electronic Science and Technology of China, Chengdu, Sichuan, China.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|July 23, 2021
PubMed
Summary

This study introduces a new Brain Genome Association (BGA) method to link brain imaging and genetic data for neurological disease analysis. The enhanced approach improves accuracy by considering disease labels and data source importance.

More Related Videos

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

19.1K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.2K

Related Experiment Videos

Last Updated: Oct 27, 2025

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease
04:22

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Published on: May 20, 2024

1.1K
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

19.1K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.2K

Area of Science:

  • Neuroscience
  • Genetics
  • Medical Informatics

Background:

  • Brain Genome Association (BGA) studies link brain structure/function (neuroimaging phenotypes) with genetic variations (Single Nucleotide Polymorphisms/SNPs) for neurological disease analysis.
  • Current BGA methods have limitations, often neglecting crucial factors like disease labels, source importance, and sample importance.

Purpose of the Study:

  • To propose a robust and discriminative Brain Genome Association (BGA) formulation.
  • To enhance the analysis of neurological diseases by integrating neuroimaging and genetic data more effectively.
  • To address limitations in existing BGA studies by incorporating disease labels, source, and sample importance.

Main Methods:

  • Developed a novel BGA framework to map heterogeneous data sources (neuroimaging and genetic data) into a common space using two transformation matrices.
  • Implemented a sparsity constraint on transformation matrices for effective feature selection across both data types.
  • Incorporated adaptive, parameter-free weightings to account for sample and source importance within the model.

Main Results:

  • The proposed method successfully maps neuroimaging phenotypes and Single Nucleotide Polymorphisms (SNPs) into a shared space.
  • Demonstrated the ability to bring samples from the same subject (across different sources) closer together in the common space.
  • Showcased the separability of samples with different disease labels, indicating discriminative power.
  • Validated the approach using the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset.

Conclusions:

  • The novel BGA formulation offers a more robust and discriminative approach for analyzing neurological diseases.
  • The method effectively integrates neuroimaging and genetic data, improving the understanding of disease-related genetic and structural associations.
  • Future research can leverage this framework for enhanced pathological analysis and biomarker discovery in neurological disorders.