The brain – gut interaction: defining the role of the nutrient-induced human brain activation matrix

Zanchi, Davide. The brain – gut interaction: defining the role of the nutrient-induced human brain activation matrix. 2018, Doctoral Thesis, University of Basel, Faculty of Medicine.


Official URL: http://edoc.unibas.ch/diss/DissB_12601

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Due to the high prevalence of obesity in America (around 35%) and in Europe (above 20%) and its dramatic consequences on human health, research aiming to understand the basic mechanisms that regulate food intake, appetite and body weight is therefore needed.
New evidences suggest that fuel sensing occurs in a number of peripheral cell types, which include specific taste receptors in the gut. These receptors produce a chemical cascade signaling the central nervous system (CNS) for energy balance regulation. At the same time in the CNS specific brain regions directly sense fuel status. An emerging new methodology investigates neural correlates
of appetite and satiety, using functional neuroimaging techniques.
In the present work we aim at investigating the brain-gut matrix. First, through a systematic review of the literature, previous studies assessing the effects of nutrients on brain functions were examined to identify a common research methodology and related results.
Afterwards we extensively study the effects of sugars and amino acids on the food-reward system, focusing on brain resting state functional connectivity.
Finally, we focus on glucose and fructose effects on cognitive functions, by investigating two of the most common dimensions of cognitive functions such as
working memory and response inhibition.
Advisors:Borgwardt, Stefan and Beglinger, Christoph and Hasler, Gregor
Faculties and Departments:03 Faculty of Medicine > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Neuropsychiatrie (Borgwardt)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Psychiatrie (Klinik) > Erwachsenenpsychiatrie UPK > Neuropsychiatrie (Borgwardt)
UniBasel Contributors:Borgwardt, Stefan and Beglinger, Christoph
Item Type:Thesis
Thesis Subtype:Doctoral Thesis
Thesis no:12601
Thesis status:Complete
Number of Pages:1 Online-Ressource (73 Seiten)
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edoc DOI:
Last Modified:18 May 2018 04:30
Deposited On:17 May 2018 08:51

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