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Jul 31, 2006

Immersive Medical Telepresence conference

Phoenix, Arizona, 6-7 September 2006

 

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From the conference website 

The Health Sciences, perhaps more than any other discipline, is dependent of images / video and the analysis of these images to be successful. This is true in biomedical research, health education and of course in clinical care. These images are increasingly digital and improving in resolution by orders of magnitude. This simultaneously allows more flexibility with the analysis of the image and much better analysis. The data resources are logically growing exponentially there is a growing need to share and compare images.

The ability to effectively use and share these resources is often a local issue with individual solutions being developed. There are exceptions and when they are discovered they are often treated as significant success stories. For example, the SUMMIT Project at Stanford University has created a significant set of stereoscopic and haptically enabled Digital Anatomy resources. These resources and the expertise at Stanford will be used across the nation and now internationally to teach anatomy courses.

As the health sciences continue to become more specialized and the educational resources become more difficult to locate, advanced networking that allows secure, reliable access to expertise and high quality resources is critical. The ability to create virtual organizations and collaborate with and among students, professors, researchers, and clinicians irrespective of location is of increasing value.

At the same time, large-capacity research networks (e.g., Internet2 and peered networks, GLORIAD) and high-quality video applications (e.g., DV-over-IP, developed by the WIDE Project and stereoscopic HD video-over-IP realized by GIST are making such virtual collaboration technically possible and financially affordable. However, the absence of (human) networking opportunities has hampered the development of sustainable testbeds and slowed the rate of innovation.

This workshop will focus on our ability to effectively use and manipulate image / video resources irrespective of their location. It will also showcase many emerging technologies relevant to the medical field. Most importantly, it will provide an opportunity for those in the medical community to learn alongside experts in the area of video technologies and large capacity networking about the challenges ahead and to begin a discussion about how those challenges can be met.

 

Applications of Virtual Reality Technology in the Measurement of Spatial Memory in Patients with Mood Disorders

In a letter to the Editor published in the current issue of CNS Spectr (2006 Jun; 11, 6), Holmes and coll. describe a novel VR-based paradigm to test spatial memory in patients with mood disorders.
 
Here is an excerpt from the letter:
 
The January 2006 CNS Spectrums included an article about virtual reality (VR) technology as a treatment option in psychiatry and Dr. Gorman welcomed letters discussing novel applications of VR in psychiatry. Much of the published work in this area is treatment-related. It appears that a limited number of researchers have considered using this technology for clinical assessment and research purposes. This is likely to change as immersive VR shows promise for increasing  ecological validity in assessment  and providing a much richer set of behavioural data.

In collaboration with the Informatics Research Institute (IRI) at Newcastle University in Newcastle upon Tyne, England, we are assessing the validity of this approach. The IRI manages an immersive VR suite, and our collaboration has allowed us to develop a novel paradigm to test spatial memory in patients with mood disorders. Our interest in spatial memory in this group stems from neuroimaging research reporting atrophy in the hippocampal region for patients with major depressive disorder and bipolar disorder. The hippocampus is involved in spatial memory, and individuals with hippocampal lesions are impaired on tasks of spatial memory.

 
The full text of the letter, including references, can be accessed here 

Mapping implied body actions in the human motor system

Mapping implied body actions in the human motor system.

J Neurosci. 2006 Jul 26;26(30):7942-9

Authors: Urgesi C, Moro V, Candidi M, Aglioti SM

The human visual system is highly tuned to perceive actual motion as well as to extrapolate dynamic information from static pictures of objects or creatures captured in the middle of motion. Processing of implied motion activates higher-order visual areas that are also involved in processing biological motion. Imagery and observation of actual movements performed by others engenders selective activation of motor and premotor areas that are part of a mirror-neuron system matching action observation and execution. By using single-pulse transcranial magnetic stimulation, we found that the mere observation of static snapshots of hands suggesting a pincer grip action induced an increase in corticospinal excitability as compared with observation of resting, relaxed hands, or hands suggesting a completed action. This facilitatory effect was specific for the muscle that would be activated during actual execution of the observed action. We found no changes in responsiveness of the tested muscles during observation of nonbiological entities with (e.g., waterfalls) or without (e.g., icefalls) implied motion. Thus, extrapolation of motion information concerning human actions induced a selective activation of the motor system. This indicates that overlapping motor regions are engaged in the visual analysis of physical and implied body actions. The absence of motor evoked potential modulation during observation of end posture stimuli may indicate that the observation-execution matching system is preferentially activated by implied, ongoing but not yet completed actions.