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Changes in fMRI Hypothalamic Activity Via Intrinsic Oscillations After Intake of Regular Soda, Diet Soda or Water During a Meal
Author(s) -
Bravo Stephen,
Lowndes Joshua,
Rippe James
Publication year - 2015
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.29.1_supplement.lb244
Subject(s) - meal , analysis of variance , statistical parametric mapping , zoology , resting state fmri , mathematics , water intake , medicine , audiology , biology , magnetic resonance imaging , radiology
The aim of this study was to examine hypothalamic changes after intake of different beverages at normal levels of consumption. A total of 63 healthy, non‐diabetic, normotensive subjects with BMI 21‐29.9 kg/m 2 , between the ages of 20‐50 years took part in an fMRI scanning session. The protocol consisted of six runs of resting‐state‐fMRI. During the first two runs subjects were in the fasting state. Subsequently they ate a standardized meal for 30 minutes outside the scanner that included either a regular soda, a diet soda, or water, based on random allocation (n=21 for each group). After the meal, subjects were scanned four additional runs. For data analysis, standard image preprocessing was performed using FSL software. We used fractional amplitude of low‐frequency fluctuation (fALFF), a validated method that allows the detection of the regional intensity of spontaneous low fluctuations (0.01–0.08 Hz) in fMRI BOLD signal. Voxelwise fALFF maps were calculated for each participant in native space, and then transformed into the MNI152 standard brain space. Before statistical analyses, each individual fALFF map was Z‐transformed. A seed of 3 mm of hypothalamus based on a previous study was used to extract the Z values from these fALFF maps for group‐level parametric analyses. We modeled the data using ANOVA with group (regular soda, diet soda, water), and condition (fast, fed) as factors. There was no effect of metabolic condition (F=1.99, p=0.16) or group (F=0.77, p=0.46). The interaction group x condition was also not significant (F=0.57, p=0.56). These results suggest that the previously identified differences may not apply to the case of SSBs under conditions that are more representative of normal daily intake levels and patterns.