Effects of spatial smoothing and physiological noise removal on brain activity with cigarette craving

Minkyung Oh, Jong-Hwan Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The purpose of this functional magnetic resonance imaging (fMRI) study was to investigate the effects of smoothing kernel size and the extent of physiological noise correction on neuronal activity estimation. The fMRI data acquired from heavy smokers were used to evaluate the effect of preprocessing options. Three different smoothing kernel sizes (i.e., 4, 6, and 8 mm) were applied to compare neuronal activation between two different conditions (e.g., abstained and satiated conditions). In addition, the physiological noise was extracted from white matter and cerebrospinal fluid via principal component analysis and different numbers of the principal components (PCs) were removed (i.e., 0, 1, 3, and 5). As results, as smoothing kernel size increased, the more number of voxels survived in a group-level analysis. Also, removing 3 noise-related PCs leaded to the largest statistical value within activated foci compared to the other cases.

    Original languageEnglish
    Title of host publication3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781479974948
    DOIs
    Publication statusPublished - 2015 Mar 30
    Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
    Duration: 2015 Jan 122015 Jan 14

    Other

    Other2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    Country/TerritoryKorea, Republic of
    CityGangwon-Do
    Period15/1/1215/1/14

    Keywords

    • Functional magnetic resonance imagine (fMRI)
    • physiological noise
    • preprocessing
    • principal component anlaysis
    • smoothing kernel

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Cognitive Neuroscience
    • Sensory Systems

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