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Feb 02, 2006

A meta-analysis of the training effectiveness of virtual reality surgical simulators

A meta-analysis of the training effectiveness of virtual reality surgical simulators.

IEEE Trans Inf Technol Biomed. 2006 Jan;10(1):51-8

Authors: Haque S, Srinivasan S

The increasing use of virtual reality (VR) simulators in surgical training makes it imperative that definitive studies be performed to assess their training effectiveness. Indeed, in this paper we report the meta-analysis of the efficacy of virtual reality simulators in: 1) the transference of skills from the simulator training environment to the operating room, and 2) their ability to discriminate between the experience levels of their users. The task completion time and the error score were the two study outcomes collated and analyzed in this meta-analysis. Sixteen studies were identified from a computer-based literature search (1996-2004). The meta-analysis of the random effects model (because of the heterogeneity of the data) revealed that training on virtual reality simulators did lessen the time taken to complete a given surgical task as well as clearly differentiate between the experienced and the novice trainees. Meta-analytic studies such as the one reported here would be very helpful in the planning and setting up of surgical training programs and for the establishment of reference 'learning curves' for a specific simulator and surgical task. If any such programs already exist, they can then indicate the improvements to be made in the simulator used, such as providing for more variety in their case scenarios based on the state and/or rate of learning of the trainee.

Quantitative analysis of accuracy of an inertial/acoustic 6DOF tracking system in motion

Quantitative analysis of accuracy of an inertial/acoustic 6DOF tracking system in motion.

J Neurosci Methods. 2006 Jan 28;

Authors: Gilson SJ, Fitzgibbon AW, Glennerster A

An increasing number of neuroscience experiments are using virtual reality to provide a more immersive and less artificial experimental environment. This is particularly useful to navigation and three-dimensional scene perception experiments. Such experiments require accurate real-time tracking of the observer's head in order to render the virtual scene. Here, we present data on the accuracy of a commonly used six degrees of freedom tracker (Intersense IS900) when it is moved in ways typical of virtual reality applications. We compared the reported location of the tracker with its location computed by an optical tracking method. When the tracker was stationary, the root mean square error in spatial accuracy was 0.64mm. However, we found that errors increased over ten-fold (up to 17mm) when the tracker moved at speeds common in virtual reality applications. We demonstrate that the errors we report here are predominantly due to inaccuracies of the IS900 system rather than the optical tracking against which it was compared.

Effect of neurofeedback training on the neural substrates of selective attention

Effect of neurofeedback training on the neural substrates of selective attention in children with attention-deficit/hyperactivity disorder: A functional magnetic resonance imaging study.

Neurosci Lett. 2006 Feb 20;394(3):216-21

Authors: Lévesque J, Beauregard M, Mensour B

Attention Deficit Hyperactivity Disorder (AD/HD) is a neurodevelopmental disorder mainly characterized by impairments in cognitive functions. Functional neuroimaging studies carried out in individuals with AD/HD have shown abnormal functioning of the anterior cingulate cortex (ACC) during tasks involving selective attention. In other respects, there is mounting evidence that neurofeedback training (NFT) can significantly improve cognitive functioning in AD/HD children. In this context, the present functional magnetic resonance imaging (fMRI) study was conducted to measure the effect of NFT on the neural substrates of selective attention in children with AD/HD. Twenty AD/HD children-not taking any psychostimulant and without co-morbidity-participated to the study. Fifteen children were randomly assigned to the Experimental (EXP) group (NFT), whereas the other five children were assigned to the Control (CON) group (no NFT). Subjects from both groups were scanned 1 week before the beginning of the NFT (Time 1) and 1 week after the end of this training (Time 2), while they performed a Counting Stroop task. At Time 1, for both groups, the Counting Stroop task was associated with significant loci of activation in the left superior parietal lobule. No activation was noted in the ACC. At Time 2, for both groups, the Counting Stroop task was still associated with significant activation of the left superior parietal lobule. This time, however, for the EXP group only there was a significant activation of the right ACC. These results suggest that in AD/HD children, NFT has the capacity to normalize the functioning of the ACC, the key neural substrate of selective attention.

Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks

Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks

Neuroimage. 2006 Jan 26;

Authors: Pfurtscheller G, Brunner C, Schlögl A, Lopes da Silva FH

We studied the reactivity of EEG rhythms (mu rhythms) in association with the imagination of right hand, left hand, foot, and tongue movement with 60 EEG electrodes in nine able-bodied subjects. During hand motor imagery, the hand mu rhythm blocked or desynchronized in all subjects, whereas an enhancement of the hand area mu rhythm was observed during foot or tongue motor imagery in the majority of the subjects. The frequency of the most reactive components was 11.7 Hz +/- 0.4 (mean +/- SD). While the desynchronized components were broad banded and centered at 10.9 Hz +/- 0.9, the synchronized components were narrow banded and displayed higher frequencies at 12.0 Hz +/- 1.0. The discrimination between the four motor imagery tasks based on classification of single EEG trials improved when, in addition to event-related desynchronization (ERD), event-related synchronization (ERS) patterns were induced in at least one or two tasks. This implies that such EEG phenomena may be utilized in a multi-class brain-computer interface (BCI) operated simply by motor imagery.

Working memory and acquisition of implicit knowledge by imagery training, without actual task performance

Working memory and acquisition of implicit knowledge by imagery training, without actual task performance

Neuroscience. 2006 Jan 27;

Authors: Helene AF, Xavier GF

This study investigated acquisition of a mirror-reading skill via imagery training, without the actual performance of a mirror-reading task. In experiment I, healthy volunteers simulated writing on an imaginary, transparent screen placed at eye level, which could be read by an experimenter facing the subject. Performance of this irrelevant motor task required the subject to imagine the letters inverted, as if seen in a mirror from their own point of view (imagery training). A second group performed the same imagery training interspersed with a complex, secondary spelling and counting task. A third, control, group simply wrote the words as they would normally appear from their own point of view. After training with 300 words, all subjects were tested in a mirror-reading task using 60 non-words, constructed according to acceptable letter combinations of the Portuguese language. Compared with control subjects, those exposed to imagery training, including those who switched between imagery and the complex task, exhibited shorter reading times in the mirror-reading task. Experiment II employed a 2x3 design, including two training conditions (imagery and actual mirror-reading) and three competing task conditions (a spelling and counting switching task, a visual working memory concurrent task, and no concurrent task). Training sessions were interspersed with mirror-reading testing sessions for non-words, allowing evaluation of the mirror-reading acquisition process during training. The subjects exposed to imagery training acquired the mirror-reading skill as quickly as those exposed to the actual mirror-reading task. Further, performance of concurrent tasks together with actual mirror-reading training severely disrupted mirror-reading skill acquisition; this interference effect was not seen in subjects exposed to imagery training and performance of the switching and the concurrent tasks. These results unequivocally show that acquisition of implicit skills by top-down imagery training is at least as efficient as bottom-up acquisition.

Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training

Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training.

IEEE Trans Inf Technol Biomed. 2006 Jan;10(1):28-41

Authors: Heng PA, Wong TT, Yang R, Chui YP, Xie YM, Leung KS, Leung PC

This paper presents an intelligent virtual environment for Chinese acupuncture learning and training using state-of-the-art virtual reality technology. It is the first step toward developing a comprehensive virtual human model for studying Chinese medicine. Students can learn and practice acupuncture in the proposed 3-D interactive virtual environment that supports a force feedback interface for needle insertion. Thus, students not only "see" but also "touch" the virtual patient. With high performance computers, highly informative and flexible visualization of acupuncture points of various related meridian and collateral can be highlighted to guide the students during training. A computer-based expert system using our newly proposed intelligent fuzzy petri net is designed and implemented to train the students to treat different diseases using acupuncture. Such an intelligent virtual reality system can provide an interesting and effective learning environment for Chinese acupuncture.

Control over brain activation and pain learned by using real-time functional MRI

Control over brain activation and pain learned by using real-time functional MRI.

Proc Natl Acad Sci USA. 2005 Dec 20;102(51):18626-31

Authors: deCharms RC, Maeda F, Glover GH, Ludlow D, Pauly JM, Soneji D, Gabrieli JD, Mackey SC

If an individual can learn to directly control activation of localized regions within the brain, this approach might provide control over the neurophysiological mechanisms that mediate behavior and cognition and could potentially provide a different route for treating disease. Control over the endogenous pain modulatory system is a particularly important target because it could enable a unique mechanism for clinical control over pain. Here, we found that by using real-time functional MRI (rtfMRI) to guide training, subjects were able to learn to control activation in the rostral anterior cingulate cortex (rACC), a region putatively involved in pain perception and regulation. When subjects deliberately induced increases or decreases in rACC fMRI activation, there was a corresponding change in the perception of pain caused by an applied noxious thermal stimulus. Control experiments demonstrated that this effect was not observed after similar training conducted without rtfMRI information, or using rtfMRI information derived from a different brain region, or sham rtfMRI information derived previously from a different subject. Chronic pain patients were also trained to control activation in rACC and reported decreases in the ongoing level of chronic pain after training. These findings show that individuals can gain voluntary control over activation in a specific brain region given appropriate training, that voluntary control over activation in rACC leads to control over pain perception, and that these effects were powerful enough to impact severe, chronic clinical pain.

New Scientist: special on robotic

The journal New Scientist proposes a special report focusing on robots that have the ability to mimic or model specific aspects of human behavior.

 

 

 


Jan 30, 2006

Presence 14:6 Now Available

Special Section:

Legal, Ethical, and Policy Issues Associated with Virtual Environments and Computer Mediated Reality

Articles

Sousveillance and Cyborglogs: A 30-Year Empirical Voyage through Ethical, Legal, and Policy Issues
Steve Mann

Buddy Bots: How Turing's Fast Friends are Undermining Consumer Privacy
Ian R. Kerr and Marcus Bornfreund

The Philosophy of Presence: From Epistemic Failure to Successful Observation
Luciano Floridi

Some Practical Considerations of Ethical Issues in VR Research
Katharina-Maria Behr, Andreas Nosper, Christoph Klimmt and Tilo Hartmann

Evaluation of a Haptic Mixed Reality System for Interactions with a Virtual Control Panel
Christoph W. Borst and Richard A. Volz

Leaving the World Behind: Supporting Group Collaboration Patterns in a Shared Virtual Environment for Product
Design
John M. Linebarger, Christopher D. Janneck and G. Drew Kessler

Feedback Strategies for Telemanipulation with Shared Control of Object Handling Forces
Weston B. Griffin, William R. Provancher and Mark R. Cutkosky

Virtual Environment Training Therapy for Arm Motor Rehabilitation
Lamberto Piron, Paolo Tonin, Francesco Piccione, Vincenzo Iaia, Elena Trivello and Mauro Dam

Forum Issues of Law for Software Agents Within Virtual Environments
Woodrow Barfield