Functional Magnetic Resonance Imaging and Obesity-Novel Ways to Seen the Unseen.
Anna Drelich-ZbrojaMałgorzata MatuszekMichał KaczorMaryla KuczyńskaPublished in: Journal of clinical medicine (2022)
Obesity remains a pandemic of the 21st century. While there are many causes of obesity and potential treatments that are currently known, source data indicate that the number of patients is constantly increasing. Neural mechanisms have become the subject of research and there has been an introduction of functional magnetic resonance imaging in obesity-associated altered neural signaling. Functional magnetic resonance imaging has been established as the gold standard in the assessment of neuronal functions related to nutrition. Thanks to this, it has become possible to delineate those regions of the brain that show altered activity in obese individuals. An integrative review of the literature was conducted using the keywords ""functional neuroimaging" OR "functional magnetic resonance "OR "fmri" and "obesity" and "reward circuit and obesity" in PubMed and Google Scholar databases from 2017 through May 2022. Results in English and using functional magnetic resonance imaging to evaluate brain response to diet and food images were identified. The results from functional magnetic resonance imaging may help to identify relationships between neuronal mechanisms and causes of obesity. Furthermore, they may provide a substrate for etiology-based treatment and provide new opportunities for the development of obesity pharmacotherapy.
Keyphrases
- weight loss
- insulin resistance
- metabolic syndrome
- magnetic resonance imaging
- type diabetes
- high fat diet induced
- weight gain
- bariatric surgery
- magnetic resonance
- computed tomography
- adipose tissue
- physical activity
- contrast enhanced
- resting state
- coronavirus disease
- white matter
- end stage renal disease
- risk assessment
- chronic kidney disease
- body mass index
- skeletal muscle
- cerebral ischemia
- functional connectivity
- newly diagnosed
- ejection fraction
- deep learning
- obese patients
- optical coherence tomography
- electronic health record
- replacement therapy
- diffusion weighted imaging