Researchers have fashioned the first atlas of the surface of the human brain grounded on genetic information.

The genetic atlas provides scientists with a new tool for studying and explaining how the brain works, particularly the involvement of genes.
"Genetics are important to understanding all kinds of biological phenomena," said William S. Kremen, PhD, professor of psychiatry at the UC San Diego School of Medicine and co-senior author with Anders M. Dale, PhD, professor of radiology, neurosciences, and psychiatry, also at the UC San Diego School of Medicine.
"If we can understand the genetic underpinnings of the brain, we can get a better idea of how it develops and works, information we can then use to ultimately improve treatments for diseases and disorders," said Chi-Hua Chen, PhD, first author and a postdoctoral fellow in the UC San Diego Department of Psychiatry.
The human cerebral cortex, characterized by distinctive twisting folds and fissures called sulci, is just 0.08 to 0.16 inches thick, but contains multiple layers of interconnected neurons with key roles in memory, attention, language, cognition and consciousness.
Other atlases have mapped the brain by cytoarchitecture - differences in tissues or function.
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It follows a related study published last year by Kremen, Dale and colleagues that affirmed the human cortical regionalization is similar to and consistent with patterns found in other mammals, evidence of a common conservation mechanism in evolution.
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The atlas plots genetic correlations between different points on the cortical surface of the twins' brains.
The correlations represent shared genetic influences and reveal that genetic brain divisions do not map one-to-one with traditional brain divisions that are based on structure and function.
"Yet, the pattern of this genetic map still suggests that it is neuroanatomically meaningful," Kremen added.
Kremen said the genetic brain atlas may be especially useful for scientists who employ genome-wide association studies, a relatively new tool that looks for common genetic variants in people that may be associated with a particular trait, condition or disease.
The work is published in the journal Science.
Source-ANI