• DocumentCode
    1437881
  • Title

    A Programmable Laboratory Testbed in Support of Evaluation of Functional Brain Activation and Connectivity

  • Author

    Barbour, Randall L. ; Graber, Harry L. ; Xu, Yong ; Pei, Yaling ; Schmitz, Christoph H. ; Pfeil, Douglas S. ; Tyagi, Anandita ; Andronica, Randy ; Lee, Daniel C. ; Barbour, San-Lian S. ; Nichols, J. David ; Pflieger, Mark E.

  • Author_Institution
    Dept. of Pathology, SUNY Downstate Med. Center, Brooklyn, NY, USA
  • Volume
    20
  • Issue
    2
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    170
  • Lastpage
    183
  • 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.
  • Keywords
    bioelectric phenomena; biomedical optical imaging; electroencephalography; haemodynamics; infrared spectroscopy; medical image processing; neurophysiology; optical tomography; phantoms; NIRS tomography; bioelectric properties; data collection conditions; effective connectivity models; electroencephalography; experiment-derived measurement; functional brain activation; functional brain connectivity; integrated data analysis; integrated translatable headgear; multisignal source array; near infrared spectroscopy; neuroactivation; optical properties; principal elements; programmable anthropomorphic head phantom; programmable laboratory testbed; quantitative neuroimaging; simulated macroscopic bioelectric responses; simulated macroscopic hemodynamic responses; Arrays; Biomedical optical imaging; Brain modeling; Electroencephalography; Hemodynamics; Phantoms; Dynamic causal modeling; effective connectivity; encephalography (EEG); near infrared tomography; programmable head phantom; Adult; Animals; Atlases as Topic; Brain; Calibration; Cerebrovascular Circulation; Data Interpretation, Statistical; Electrodes; Electroencephalography; Electromagnetic Phenomena; Electronics; Electrophysiology; Hemodynamics; Humans; Macaca mulatta; Male; Models, Neurological; Neural Pathways; Neuroimaging; Phantoms, Imaging; Spectroscopy, Near-Infrared; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2012.2185514
  • Filename
    6144746