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Related Concept Videos

Human Genetics01:28

Human Genetics

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...
Neuron Structure01:30

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Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to cellular...
Neuron Structure01:31

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Related Experiment Video

Updated: May 11, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Published on: October 13, 2023

Genetics of the connectome.

Paul M Thompson1, Tian Ge, David C Glahn

  • 1Imaging Genetics Center, Laboratory of NeuroImaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA. thompson@loni.ucla.edu

Neuroimage
|May 28, 2013
PubMed
Summary

Connectome genetics explores how genes influence brain connectivity. This review covers genetic analysis methods, imaging techniques, and consortium efforts, advancing our understanding of genetic impacts on brain organization and disease risk.

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Area of Science:

  • Neuroscience
  • Genetics
  • Brain Imaging

Background:

  • Connectome genetics investigates the relationship between genetic factors and brain connectivity.
  • Brain imaging techniques like diffusion MRI and resting-state functional MRI are crucial for studying brain integrity and functional networks.

Purpose of the Study:

  • To review various genetic analysis methods adapted for neuroimaging data.
  • To highlight studies examining genetic influences on brain connectivity and organization.
  • To discuss multivariate methods and consortium efforts for large-scale genetic connectome studies.

Main Methods:

  • Genome-wide association studies (GWAS), linkage, and candidate gene studies adapted to imaging data.
  • Diffusion MRI for brain integrity and connectivity analysis.
  • Resting-state functional MRI for mapping genetic effects on functional networks.
  • Multivariate methods for high-dimensional genomic and network data.
  • Phenotypic harmonization and meta-analysis within consortium efforts (e.g., ENIGMA).

Main Results:

  • Genetic analysis methods have successfully implicated specific genomic variants in brain-related traits.
  • Studies have identified genetic influences on both structural integrity and functional connectivity.
  • Connectome-wide scans reveal complex genetic networks affecting brain organization.
  • Consortium efforts enable the detection of robust genetic associations.

Conclusions:

  • Connectome genetics is a rapidly advancing field with the potential to illuminate how genes influence brain structure, function, and disease risk.
  • This research is identifying novel genetic loci and networks critical for brain organization and connectivity.