The effect of exogenous and endogenous parameters on group resting-state effective connectivity and BOLD signal
2023 (English)In: Computational neuroscience / [ed] Drozdstoy Stoyanov; Bogdan Draganski; Paolo Brambilla; Claus Lamm, New York: Humana Press, 2023, , p. 15p. 195-209Chapter in book (Refereed)
Abstract [en]
fMRI has gained popularity in research and clinical settings. The majority of work relies on group comparisons to identify the resting-state network structure, connectivity, and differences between diverse populations. However, the reliability of fMRI has been doubted together with an increasing number of publications on individual differences and other factors affecting the resting-state fMRI. The current publication addresses the factors that are often overlooked or not accounted for when selecting the “healthy control group” as a baseline for comparison. Our results indicate that additional biological factors, such as blood pressure, level of hemoglobin, waist circumference, time of image acquisition, as well as age and sex introduce variability in the group data. It is therefore likely to conclude that this variability on a group level might in turn affect the differences or changes observed between populations.
Place, publisher, year, edition, pages
New York: Humana Press, 2023. , p. 15p. 195-209
Series
Neuromethods, ISSN 0893-2336, E-ISSN 1940-6045 ; 199
Keywords [en]
DCM, fMRI, Group average, Individual differences, Resting-state
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:umu:diva-209295DOI: 10.1007/978-1-0716-3230-7_13Scopus ID: 2-s2.0-85159474101ISBN: 9781071632291 (print)ISBN: 9781071632321 (print)ISBN: 9781071632307 (electronic)OAI: oai:DiVA.org:umu-209295DiVA, id: diva2:1764089
2023-06-082023-06-082023-07-06Bibliographically approved