Functional Near Infrared Spectroscopy in Novice and Expert Surgeons - A Manifold Embedding Approach

Monitoring expertise development in surgery is likely to benefit from evaluations of cortical brain function. Brain behaviour is dynamic and nonlinear. The aim of this paper is to evaluate the application of a nonlinear dimensionality reduction technique to enhance visualisation of multidimensional functional Near Infrared Spectroscopy (fNIRS) data. Manifold embedding is applied to prefrontal haemodynamic signals obtained during a surgical knot tying task from a group of 62 healthy subjects with varying surgical expertise. The proposed method makes no assumption about the functionality of the data set and is shown to be capable of recovering the intrinsic low dimensional structure of in vivo brain data. After manifold embedding, Earth Mover's Distance (EMD) is used to quantify different patterns of cortical behaviour associated with surgical expertise and analyse the degree of inter-hemispheric channel pair symmetry.

[1]  Leonidas J. Guibas,et al.  A metric for distributions with applications to image databases , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[2]  Guang-Zhong Yang,et al.  Analysis of visual search patterns with EMD metric in normalized anatomical space , 2006, IEEE Transactions on Medical Imaging.

[3]  Guang-Zhong Yang,et al.  HMM Assessment of Quality of Movement Trajectory in Laparoscopic Surgery , 2006, MICCAI.

[4]  Atsushi Maki,et al.  Functional Optical Signal Analysis (fOSA): A Software Tool for NIRS Data Processing Incorporating Statistical Parametric Mapping (SPM). , 2006 .

[5]  J. Tenenbaum,et al.  A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.

[6]  D. Boas,et al.  Non-invasive neuroimaging using near-infrared light , 2002, Biological Psychiatry.

[7]  H. Jasper,et al.  The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[8]  Rajesh Aggarwal,et al.  Optical Mapping of the Frontal Cortex During a Surgical Knot-Tying Task, a Feasibility Study , 2006, MIAR.

[9]  Lasse Riis Østergaard,et al.  Active Surface Approach for Extraction of the Human Cerebral Cortex from MRI , 2006, MICCAI.

[10]  Hiroki Sato,et al.  Practicality of Wavelength Selection to Improve Signal-to-noise Ratio in Near-infrared Spectroscopy , 2003 .

[11]  U. Halsband,et al.  Motor learning in man: A review of functional and clinical studies , 2006, Journal of Physiology-Paris.

[12]  Zhi-Hua Zhou,et al.  Supervised nonlinear dimensionality reduction for visualization and classification , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[13]  A. Villringer,et al.  Near infrared spectroscopy (NIRS): A new tool to study hemodynamic changes during activation of brain function in human adults , 1993, Neuroscience Letters.