1. A Programmable Laboratory Testbed in Support of Evaluation of Functional Brain Activation and Connectivity
- Author
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Harry L. Graber, Randy Andronica, Yong Xu, Yaling Pei, S-L S. Barbour, J. D. Nichols, Randall L. Barbour, Daniel C. Lee, Christoph H. Schmitz, Mark E. Pflieger, Anandita Tyagi, and Douglas S. Pfeil
- Subjects
Adult ,Male ,Computer science ,Reliability (computer networking) ,Models, Neurological ,Real-time computing ,Biomedical Engineering ,Wearable computer ,Neuroimaging ,Imaging phantom ,User-Computer Interface ,Atlases as Topic ,Neural Pathways ,Internal Medicine ,medicine ,Animals ,Humans ,Optical tomography ,Electrodes ,Spectroscopy, Near-Infrared ,Data collection ,medicine.diagnostic_test ,Phantoms, Imaging ,General Neuroscience ,Rehabilitation ,Principal (computer security) ,Testbed ,Hemodynamics ,Brain ,Electroencephalography ,Macaca mulatta ,Electrophysiology ,Cerebrovascular Circulation ,Data Interpretation, Statistical ,Calibration ,Electronics ,Electromagnetic Phenomena ,Biomedical engineering - Abstract
An important determinant of the value of quantitative neuroimaging studies is the reliability of the derived information, which is a function of the data collection conditions. Near infrared spectroscopy (NIRS) and electroencelphalography are independent sensing domains that are well suited to explore principal elements of the brain's response to neuroactivation, and whose integration supports development of compact, even wearable, systems suitable for use in open environments. In an effort to maximize the translatability and utility of such resources, we have established an experimental laboratory testbed that supports measures and analysis of simulated macroscopic bioelectric and hemodynamic responses of the brain. Principal elements of the testbed include 1) a programmable anthropomorphic head phantom containing a multisignal source array embedded within a matrix that approximates the background optical and bioelectric properties of the brain, 2) integrated translatable headgear that support multimodal studies, and 3) an integrated data analysis environment that supports anatomically based mapping of experiment-derived measures that are directly and not directly observable. Here, we present a description of system components and fabrication, an overview of the analysis environment, and findings from a representative study that document the ability to experimentally validate effective connectivity models based on NIRS tomography.
- Published
- 2012