Summary: For the first time, scientists announced the genetic structure of the Brain's Communication Bridge-Bridge-using AI and MRI data from more than 50,000 people. The study opened a large number of genes that make up this important structure size and dimension, many of them work during prenatal development when the brain wiring is established.
Differences in these genes may explain why changes in the corpus callosum are associated with cognitive and behavioral disorders. The group's open source AI tool now enables researchers around the world to analyze the state of the brain faster and with unprecedented precision.
Basic facts
- The original genetic blueprint: The genetic regions that make up the Left-Left-Left Bridge have been identified.
- AI-driven discovery: Artificial intelligence was used to map the brain across 50,000 MRI scans during recording.
- Mental Health Communication: Find genetic overlap between Corpus Callosum, Cerebral Cortex, ADHD, and Bipolar Disorder.
Source: USC
For the first time, a research group led by Mark and Mary Stevens Neuroving and Informatics Institute (Stevens Ini) at the Keck School of Medicine for treatment known as Corpus Callosum – Large Band of Nerve Fibers on the Left.
Detection Open up new ways to detect mental illness, mental disorders and other diseases related to problems in this part of the brain.
The Corpus Callosum is important for almost everything the brain does, from coordinating the movements of our feet to coordinating questions and fields, to higher order thinking.
Trauma in its form and magnitude has long been associated with disorders such as ADHD, bipolar disorder, and Parkinson's disease. Until now, the genetic makeup of this important structure remained largely unknown.
In a new study, published in Environmental Communications, The team analyzed brain scans and genetic data from more than 50,000 people, from childhood to late adulthood, with the help of a new precision tool developed by the team.
“We developed an AI tool that detects the Corpus Callosum in various types of Brain MRI Scans and takes its measurements automatically,” said Shruti P. Gadewar, a study author at Stevens ITI.
Using this tool, researchers identified a number of genetic sites that influence the size and shape of the Corpus Callosum and its cells.
“These findings provide a genetic blueprint for one of the most important communication pathways in the brain,” said Ravi R. Bhatt, PhD, author of the First
“By revealing how certain genes shape the Corpus Callosum and its characters, we can begin to understand why differences in this structure are linked to different mental states and the level of those mental states.”
The study revealed that different sets of genes control the relative size of the corpus callosum – two factors that change throughout life and play different roles in brain function. Many types of nutrient-rich substances are active during early brain development, particularly in processes such as cell growth, programmed cell death, and the recruitment of nerve fibers to all nerve fibers.
“This work demonstrates the power of using AI and large-scale databases to discover genetic factors that drive brain development,” said Neda Jahanshad, PhD, professor of Neurology and senior author.
“By linking genes to brain structure, we are gaining critical insight into the biological mechanisms that may underlie mental and neurological diseases.”
Notably, the study finds a genetic breakdown between the Corpus Callosum and the cerebral cortex – the outer layer of the brain responsible for memory, attention, and language – and disorders such as ADHD and Bipolar Disorder.
“This connection emphasizes that these same genetic factors that make up the Brain's Communication Bridge can also contribute to the damage of certain disorders,” JahanShad said.
Arthur W. Toga, PhD, director of Stevens Ini, emphasized the broad implications of this study. “This research is a landmark in our understanding of how our brains are built. It not only sheds light on developing the normal brain but also helps us to identify new ways to diagnose and treat disorders that affect millions around the world.”
The researchers developed their new community-based AI tool to speed up future discoveries. The software, developed at Stevens Ini, uses advanced machine learning to automatically identify and measure the Corpus Callosum from MRI Scans. This method allows scientists to analyze the structure of the brain at an unprecedented scale and level of precision, reducing years of manual work to just an hour.
Stevens has become a global leader in the use of artificial intelligence in neuroscience, developing tools that are freely shared with the research community. By combining large datasets with cutting-edge methods, the center is revolutionizing the way scientists study brain health and disease.
“Artificial Intelligence is revolutionizing brain research, and Stevens Ini is at the forefront of that revolution,” Toga said. “By pioneering AI tools and making them widely available, we are equipping scientists around the world to unlock new discoveries about the brain farther than ever before.”
About research
In addition to BHATT, Gadewar and Jahanhad, other study authors include Ankush Shetty, Elizabeth Javid, Alyssa H. zhu, Christiaan de Leeuw, Christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, christiaan de leeuw, Paul M. Thompson, and Sarah E. Medland.
Funding: This work was supported by the National Institutes of Health (grant NOS. R01 MH134004 and R01 AG059874 [NJ]Program of National Science Poutenioneslouplong Clourses Proveniones (Grant No. 2020290241 [RRB]R01 MH126213, R01NS105746, Student Development (ABCD) Study (and UK Biobank (Resource Student Biobank (Resource Scount (Resource account appellant app1152917. Study reported with App1158127. S10OD032285.
Important Questions Answered:
A: Researchers have created the first large-scale genetic map of the Corpus Callosum – the dense bundle of nerve fibers that connect the left and right hemispheres of the brain.
A: It is important for communication, communication, and higher order thinking, and abnormalities in its structure are related to conditions such as ADHD, respiratory disease, and Parkinson's disease, and Parkinson's disease, and Parkinson's disease.
A: The AI tool analyzed MRI Scans from more than 50,000 people, identifying a number of genetic sites that influence the size and thickness of the Corpus Callosum and how these factors are related to brain function and disease risk.
About this ai, genetics, and psychology issues
Author: Laura Leblanc
Source: USC
Contact: Laura Leblanc – USC
Image: This photo is posted in Neuroscience News
Actual research: Open access.
“Building a Human Gene Corpus and SubRegions” by Ravi R. Bhatt et al. Natural Communication
-Catshangwa
Genetic architecture of the human corpus collosum and its substrates
The Corpus Callosum (CC) is a very large collection of white fibers that connect the two hemispheres of the brain. In humans, it is important to coordinate SenseRotor responses and perform Executive functions.
Identifying which genes underlie CC Morphometry can provide molecular insight into CC behavior in sleep cognitive processes.
We developed and implemented an implantable intelligence tool based on the extraction of the MidSagittal CC area for area and size in two large social views.
We performed a genome-wide meta-analysis of European cohorts (combined Ni= 46,685) Using the standard for non-European participants (combined Ni= 7040). Post-Gwas analyzes the organization of the intracellular organization of detacetur and the cell, as well as high intensity in regions of open Chromatin.
The results suggest that cells that are programmed to be controlled by the immune system drive the reduction of the posterior body and the Isthmus.
Genetic breakdown, and genetic debt, between CC, features of the cortex of CC, and neuropsychiatric disorders such as attention / hyperactivity, Parkinson's disease, were identified in Parkinson's diseases.
