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New Map Identifies the Core of the Human Brain

By MedImaging staff writers
Posted on 05 Aug 2008
An international group of researchers has created the first complete high-resolution map of how millions of neural fibers in the human cerebral cortex--the outer layer of the brain responsible for higher-level thinking--connect and communicate. More...
This groundbreaking research identified a single network core, or hub, that may be vital to the functioning of both hemispheres of the brain.

The study, performed by researchers from Indiana University (Bloomington, IN, USA), University of Lausanne (Switzerland), Ecole Polytechnique Fédérale de Lausanne (Switzerland), and Harvard Medical School (Cambridge, MA, USA), marks a major step in understanding the most complicated and mysterious organ in the human body. It not only provides a comprehensive map of brain connections (the brain "connectome”), but also describes a novel application of a non-invasive technique that can be used by other scientists to continue mapping the trillions of neural connections in the brain at even greater resolution, which is becoming a new field of science named "connectomics.”

"This is one of the first steps necessary for building large-scale computational models of the human brain to help us understand processes that are difficult to observe, such as disease states and recovery processes to injuries,” said Dr. Olaf Sporns, co-author of the study and neuroscientist at Indiana University.

The study's findings were published in the June 30, 2008, issue of the journal PLoS Biology. Until now, scientists have mostly used functional magnetic resonance imaging (fMRI) technology to measure brain activity--locating which areas of the brain become active during perception or cognition--but there has been little understanding of the role of the underlying anatomy in generating this activity. What is known of neural fiber connections and pathways has largely been learned from laboratory animal research, and up to now, no complete map of brain connections in the human brain exists.

In this new study, a team of neuroimaging researchers utilized sophisticated diffusion magnetic resonance imaging (MRI) technology, which is a non-invasive scanning technique that estimates fiber connection trajectories based on gradient maps of the diffusion of water molecules through brain tissue. A highly sensitive variant of the method, called diffusion spectrum imaging (DSI), can depict the orientation of multiple fibers that cross a single location. The study applies this technique to the entire human cortex, resulting in maps of millions of neural fibers running throughout this highly furrowed part of the brain.

Dr. Sporns then performed a computational analysis trying to identify regions of the brain that played a more central role in the connectivity, serving as hubs in the cortical network. Surprisingly, these analyses revealed a single highly and densely connected structural core in the brain of all participants.

"We found that the core, the most central part of the brain, is in the medial posterior portion of the cortex, and it straddles both hemispheres,” Dr. Sporns stated. "This wasn't known before. Researchers have been interested in this part of the brain for other reasons. For example, when you're at rest, this area uses up a lot of metabolic energy, but until now it hasn't been clear why.”

The researchers then asked whether the structural connections of the brain in fact shape its dynamic activity, according to Dr. Sporns. The study examined the brains of five human participants who were imaged using both fMRI and DSI techniques to compare how closely the brain activity observed in the fMRI mapped to the underlying fiber networks.

"It turns out they're quite closely related,” Dr. Sporns said. "We can measure a significant correlation between brain anatomy and brain dynamics. This means that if we know how the brain is connected we can predict what the brain will do.”

The researchers now plan to look at more brains, to map brain connectivity as brains develop and age, and as they change in the course of disease and dysfunction.


Related Links:
Indiana University

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