Identification of non-linear models of neural activity in bold fmri

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    179 Downloads (Pure)

    Abstract

    Non-linear hemodynamic models express the BOLD signal as a nonlinear, parametric functional of the temporal sequence of local neural activity. Several models have been proposed for this neural activity. We identify one such parametric model by estimating the distribution of its parameters. These distributions are themselves stochastic, therefore we estimate their variance by epoch based leave-one-out cross validation, using a Metropolis-Hastings algorithm for sampling of the posterior parameter distribution.
    Original languageEnglish
    Title of host publication3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano
    PublisherIEEE
    Publication date2006
    Pages952-955
    ISBN (Print)0-7803-9576-X
    DOIs
    Publication statusPublished - 2006
    Event3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006. -
    Duration: 1 Jan 2006 → …

    Conference

    Conference3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006.
    Period01/01/2006 → …

    Bibliographical note

    Copyright: 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Keywords

    • model comparison
    • BOLD fMRI
    • Bayes
    • learning
    • MCMC

    Cite this

    Jacobsen, D. J., Madsen, K. H., & Hansen, L. K. (2006). Identification of non-linear models of neural activity in bold fmri. In 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano (pp. 952-955). IEEE. https://doi.org/10.1109/ISBI.2006.1625077
    Jacobsen, Daniel Jakup ; Madsen, Kristoffer Hougaard ; Hansen, Lars Kai. / Identification of non-linear models of neural activity in bold fmri. 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano. IEEE, 2006. pp. 952-955
    @inproceedings{804fbc74eb4a42a985dc1417f31fc34a,
    title = "Identification of non-linear models of neural activity in bold fmri",
    abstract = "Non-linear hemodynamic models express the BOLD signal as a nonlinear, parametric functional of the temporal sequence of local neural activity. Several models have been proposed for this neural activity. We identify one such parametric model by estimating the distribution of its parameters. These distributions are themselves stochastic, therefore we estimate their variance by epoch based leave-one-out cross validation, using a Metropolis-Hastings algorithm for sampling of the posterior parameter distribution.",
    keywords = "model comparison, BOLD fMRI, Bayes, learning, MCMC",
    author = "Jacobsen, {Daniel Jakup} and Madsen, {Kristoffer Hougaard} and Hansen, {Lars Kai}",
    note = "Copyright: 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE",
    year = "2006",
    doi = "10.1109/ISBI.2006.1625077",
    language = "English",
    isbn = "0-7803-9576-X",
    pages = "952--955",
    booktitle = "3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano",
    publisher = "IEEE",
    address = "United States",

    }

    Jacobsen, DJ, Madsen, KH & Hansen, LK 2006, Identification of non-linear models of neural activity in bold fmri. in 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano. IEEE, pp. 952-955, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006., 01/01/2006. https://doi.org/10.1109/ISBI.2006.1625077

    Identification of non-linear models of neural activity in bold fmri. / Jacobsen, Daniel Jakup; Madsen, Kristoffer Hougaard; Hansen, Lars Kai.

    3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano. IEEE, 2006. p. 952-955.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    TY - GEN

    T1 - Identification of non-linear models of neural activity in bold fmri

    AU - Jacobsen, Daniel Jakup

    AU - Madsen, Kristoffer Hougaard

    AU - Hansen, Lars Kai

    N1 - Copyright: 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    PY - 2006

    Y1 - 2006

    N2 - Non-linear hemodynamic models express the BOLD signal as a nonlinear, parametric functional of the temporal sequence of local neural activity. Several models have been proposed for this neural activity. We identify one such parametric model by estimating the distribution of its parameters. These distributions are themselves stochastic, therefore we estimate their variance by epoch based leave-one-out cross validation, using a Metropolis-Hastings algorithm for sampling of the posterior parameter distribution.

    AB - Non-linear hemodynamic models express the BOLD signal as a nonlinear, parametric functional of the temporal sequence of local neural activity. Several models have been proposed for this neural activity. We identify one such parametric model by estimating the distribution of its parameters. These distributions are themselves stochastic, therefore we estimate their variance by epoch based leave-one-out cross validation, using a Metropolis-Hastings algorithm for sampling of the posterior parameter distribution.

    KW - model comparison

    KW - BOLD fMRI

    KW - Bayes

    KW - learning

    KW - MCMC

    U2 - 10.1109/ISBI.2006.1625077

    DO - 10.1109/ISBI.2006.1625077

    M3 - Article in proceedings

    SN - 0-7803-9576-X

    SP - 952

    EP - 955

    BT - 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano

    PB - IEEE

    ER -

    Jacobsen DJ, Madsen KH, Hansen LK. Identification of non-linear models of neural activity in bold fmri. In 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano. IEEE. 2006. p. 952-955 https://doi.org/10.1109/ISBI.2006.1625077