KUKU

KU ScholarWorks

  • myKU
  • Email
  • Enroll & Pay
  • KU Directory
    • Login
    View Item 
    •   KU ScholarWorks
    • Speech-Language-Hearing: Sciences and Disorders
    • Speech-Language-Hearing Scholarly Works
    • View Item
    •   KU ScholarWorks
    • Speech-Language-Hearing: Sciences and Disorders
    • Speech-Language-Hearing Scholarly Works
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses

    Thumbnail
    View/Open
    Brumberg_2013.pdf (3.906Mb)
    Issue Date
    2014-03-19
    Author
    Stephen, Emily P.
    Lepage, Kyle Q.
    Eden, Uri T.
    Brunner, Peter
    Schalk, Gerwin
    Brumberg, Jonathan S.
    Guenther, Frank H.
    Kramer, Mark A.
    Publisher
    Frontiers
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Metadata
    Show full item record
    Abstract
    The brain is a complex network of interconnected elements, whose interactions evolve dynamically in time to cooperatively perform specific functions. A common technique to probe these interactions involves multi-sensor recordings of brain activity during a repeated task. Many techniques exist to characterize the resulting task-related activity, including establishing functional networks, which represent the statistical associations between brain areas. Although functional network inference is commonly employed to analyze neural time series data, techniques to assess the uncertainty—both in the functional network edges and the corresponding aggregate measures of network topology—are lacking. To address this, we describe a statistically principled approach for computing uncertainty in functional networks and aggregate network measures in task-related data. The approach is based on a resampling procedure that utilizes the trial structure common in experimental recordings. We show in simulations that this approach successfully identifies functional networks and associated measures of confidence emergent during a task in a variety of scenarios, including dynamically evolving networks. In addition, we describe a principled technique for establishing functional networks based on predetermined regions of interest using canonical correlation. Doing so provides additional robustness to the functional network inference. Finally, we illustrate the use of these methods on example invasive brain voltage recordings collected during an overt speech task. The general strategy described here—appropriate for static and dynamic network inference and different statistical measures of coupling—permits the evaluation of confidence in network measures in a variety of settings common to neuroscience.
    Description
    This is the publisher's version, also available electronically from http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00031/abstract
    URI
    http://hdl.handle.net/1808/14640
    DOI
    https://doi.org/10.3389/fncom.2014.00031
    ISSN
    1662-5188
    Collections
    • Speech-Language-Hearing Scholarly Works [82]
    Citation
    Stephen EP, Lepage KQ, Eden UT, Brunner P, Schalk G, Brumberg JS, Guenther FH and Kramer MA (2014) Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Front. Comput. Neurosci. 8:31. http://dx.doi.org/10.3389/fncom.2014.00031

    Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.


    We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.


    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    Browse

    All of KU ScholarWorksCommunities & CollectionsThis Collection

    My Account

    Login

    Statistics

    View Usage Statistics

    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

    The University of Kansas
      Contact KU ScholarWorks
    Lawrence, KS | Maps
     
    • Academics
    • Admission
    • Alumni
    • Athletics
    • Campuses
    • Giving
    • Jobs

    The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the University’s programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu, 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY.

     Contact KU
    Lawrence, KS | Maps