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Olfactory fMRI: implications of stimulation length and repetition time.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.ORCID iD: 0000-0001-7433-0203
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2018 (English)In: Chemical Senses, ISSN 0379-864X, E-ISSN 1464-3553Article in journal (Refereed) Published
Abstract [en]

Studying olfaction with functional Magnetic Resonance imaging (fMRI) poses various methodological challenges. This study aimed to investigate the effects of stimulation length and repetition time (TR) on the activation pattern of four olfactory brain regions: the anterior and the posterior piriform cortex, the orbitofrontal cortex and the insula. 22 healthy participants with normal olfaction were examined with fMRI, with two stimulation lengths (6 seconds and 15 seconds) and two TRs (0.901 seconds and 1.34 seconds). Data were analyzed using General Linear Model (GLM), Tensorial Independent Component Analysis (TICA) and by plotting the event related time course of brain activation in the four olfactory regions of interest. The statistical analysis of the time courses revealed that short TR was associated with more pronounced signal increase and short stimulation was associated with shorter time to peak signal. Additionally, both long stimulation and short TR were associated with oscillatory time courses, whereas both short stimulation and short TR resulted in more typical time courses. GLM analysis showed that the combination of short stimulation and short TR could result in visually larger activation within these olfactory areas. TICA validated that the tested paradigm was spatially and temporally associated with a functionally connected network that included all four olfactory regions. In conclusion, the combination of short stimulation and short TR is associated with higher signal increase and shorter time to peak, making it more amenable to standard GLM-type analyses than long stimulation and long TR, and it should, thus, be preferable for olfactory fMRI.

Place, publisher, year, edition, pages
2018.
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Radiology, Nuclear Medicine and Medical Imaging Neurosciences
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URN: urn:nbn:se:uu:diva-350749DOI: 10.1093/chemse/bjy025PubMedID: 29726890OAI: oai:DiVA.org:uu-350749DiVA, id: diva2:1206020
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-05-30Bibliographically approved

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Haller, SvenLarsson, Elna-Marie

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