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Obesity and Brain Function

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Attention for Chapter 10: Functional Neuroimaging in Obesity Research
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Chapter title
Functional Neuroimaging in Obesity Research
Chapter number 10
Book title
Obesity and Brain Function
Published in
Advances in neurobiology, January 2017
DOI 10.1007/978-3-319-63260-5_10
Pubmed ID
Book ISBNs
978-3-31-963259-9, 978-3-31-963260-5
Authors

Liliana Letra, Daniela Pereira, Miguel Castelo-Branco, Letra, Liliana, Pereira, Daniela, Castelo-Branco, Miguel

Abstract

Functional neuroimaging is beginning to yield valuable insights into the neurobiological underpinnings of the effects of obesity on neural circuits. Functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and single-photon emission computed tomography (SPECT) studies have been used to identify aberrant activation patterns in regions implicated in reward (e.g., striatum, orbitofrontal cortex, insula), emotion and memory (e.g., amygdala, hippocampus), sensory and motor processing (e.g., insula, precentral gyrus), and cognitive control and attention (e.g., prefrontal cortex, cingulate) in obese individuals. Although a great amount of research using these techniques has already unveiled the influence of different neural response patterns on obesogenic behaviors, in this chapter we will, otherwise, try to highlight the effects of obesity on specific neuronal circuits and discuss recent developments in fMRI-based neurofeedback approaches as an alternative in obesity treatment.

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Master 5 14%
Student > Doctoral Student 5 14%
Student > Ph. D. Student 4 11%
Unspecified 2 6%
Other 6 17%
Unknown 6 17%
Readers by discipline Count As %
Neuroscience 7 20%
Psychology 6 17%
Medicine and Dentistry 3 9%
Unspecified 2 6%
Nursing and Health Professions 1 3%
Other 5 14%
Unknown 11 31%