Snack food as a modulator of human resting-state functional connectivity.

Mendez Torrijos A, Kreitz S, Ivan CI, Konerth L, Rösch J, Pischetsrieder M, Moll G, Kratz O, Dörfler A, Horndasch S, Hess A (2018)

Publication Status: Published

Publication Type: Journal article

Publication year: 2018

Journal

Cns Spectrums Cambridge University Press (CUP)

Pages Range: 1-12

DOI: 10.1017/S1092852918000767

Abstract

OBJECTIVE To elucidate the mechanisms of how snack foods may induce non-homeostatic food intake, we used resting state functional magnetic resonance imaging (fMRI), as resting state networks can individually adapt to experience after short time exposures. In addition, we used graph theoretical analysis together with machine learning techniques (support vector machine) to identifying biomarkers that can categorize between high-caloric (potato chips) vs. low-caloric (zucchini) food stimulation. METHODS Seventeen healthy human subjects with body mass index (BMI) 19 to 27 underwent 2 different fMRI sessions where an initial resting state scan was acquired, followed by visual presentation of different images of potato chips and zucchini. There was then a 5-minute pause to ingest food (day 1=potato chips, day 3=zucchini), followed by a second resting state scan. fMRI data were further analyzed using graph theory analysis and support vector machine techniques. RESULTS Potato chips vs. zucchini stimulation led to significant connectivity changes. The support vector machine was able to accurately categorize the 2 types of food stimuli with 100% accuracy. Visual, auditory, and somatosensory structures, as well as thalamus, insula, and basal ganglia were found to be important for food classification. After potato chips consumption, the BMI was associated with the path length and degree in nucleus accumbens, middle temporal gyrus, and thalamus. CONCLUSION The results suggest that high vs. low caloric food stimulation in healthy individuals can induce significant changes in resting state networks. These changes can be detected using graph theory measures in conjunction with support vector machine. Additionally, we found that the BMI affects the response of the nucleus accumbens when high caloric food is consumed.

Authors with CRIS profile

Andrea Mendez Torrijos Lehrstuhl für Pharmakologie und Toxikologie Silke Kreitz Lehrstuhl für Pharmakologie und Toxikologie Claudiu-Ionut Ivan Lehrstuhl für Pharmakologie und Toxikologie Laura Konerth Lehrstuhl für Pharmakologie und Toxikologie Julie Rösch Department of Neuroradiology Monika Pischetsrieder Lehrstuhl für Lebensmittelchemie (Henriette-Schmidt-Burkhardt Lehrstuhl) Oliver Kratz Department of Child and Adolescent Mental Health Arnd Dörfler

How to cite

APA:

Mendez Torrijos, A., Kreitz, S., Ivan, C.-I., Konerth, L., Rösch, J., Pischetsrieder, M.,... Hess, A. (2018). Snack food as a modulator of human resting-state functional connectivity. Cns Spectrums, 1-12. https://dx.doi.org/10.1017/S1092852918000767

MLA:

Mendez Torrijos, Andrea, et al. "Snack food as a modulator of human resting-state functional connectivity." Cns Spectrums (2018): 1-12.

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