The NIH Human Connectome Project is an ambitious effort to map the neural pathways that underlie human brain function. The overarching purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain. It will greatly advance the capabilities for imaging and analyzing brain connections, resulting in improved sensitivity, resolution, and utility, thereby accelerating progress in the emerging field of human connectomics.
Altogether, the Human Connectome Project will lead to major advances in our understanding of what makes us uniquely human and will set the stage for future studies of abnormal brain circuits in many neurological and psychiatric disorders.
HARDI (high angular resolution diffusion imaging) tracks: Information transfer between left and right hemispheres. Visualization by Paul Thompson, PhD
HARDI (high-angular resolution diffusion imaging), Coronal view. The tensor can be visualized as an ellipsoid in 3D space, showing fluid mappings and brain connectivity. Visualization by David Shattuck, PhD
Blausen’s Human Atlas HD is derived from the world’s largest 3D medical animation library. The main component is the 150 animations (each approximately 1-2 minutes in length with accompanying narration), serving as an ideal starting point for patient understanding.
In addition to the 150 3D animation videos, the new Human Atlas HD includes:
* 360 degree rotatable 3D Human Figures showing nine full body systems, e.g. circulatory, muscular, nervous, etc.
* Searchable 1,500+ term medical glossary, cross referenced to related animations, images and definitions
* 1,200 detailed still images derived from the animations
The technology is called electrocorticography, or ECoG, and it uses electrodes placed on the surface of the brain to detect electrical signals coming from the brain itself.
Doctors have been using ECoG since the 1950s to figure out which area of the brain is causing seizures in people with severe epilepsy. But in the past decade, scientists have shown that when connected to a computer running special software, ECoG also can be used to control robotic arms, study how the brain produces speech and even decode thoughts.
Google Tech Talk
September 27, 2010
Presented by Dr. Eric C. Leuthardt, Washington University.
The notion that a computer can decode brain signals to infer the intentions of a human and then enact those intentions directly through a machine is becoming a realistic technical possibility. These types of devices are known as brain-computer interfaces (BCIs). In the near term, the evolution of these neuroprosthetic technologies could have significant implications for patients with motor disabilities by enhancing their ability to interact and communicate with their environment. Further into the future, these approaches could substantially alter how humans and machines interact. This talk will review the cortical signals, technical approaches, and current barriers to bringing BCIs to real world application and projecting their future implications on a broader social scale.
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