The Effect of Food Composition and Behavior on Neurobiological Response to Food: a Review of Recent Research.


Journal

Current nutrition reports
ISSN: 2161-3311
Titre abrégé: Curr Nutr Rep
Pays: United States
ID NLM: 101587480

Informations de publication

Date de publication:
06 2020
Historique:
pubmed: 12 3 2020
medline: 12 5 2021
entrez: 12 3 2020
Statut: ppublish

Résumé

Controversy surrounds the construct of food addiction. The current review examines neurobiological evidence for the existence of food addiction as a valid diagnosis. Recent neuroimaging studies suggest significant overlap in the areas of the brain that are activated in relation to both food and drug addiction. Specifically, areas of the brain implicated in executive functioning (e.g., attention, planning, decision-making, inhibition), pleasure and the experience of reward, and sensory input and motor functioning display increased activation among individuals with symptoms of both food and drug addiction. Proposed symptoms of food addiction mirror those comprising other substance use disorder diagnoses, with similar psychological and behavioral sequelae. Results of neuroimaging studies suggest significant overlap in the areas of the brain that are activated in relation to both food and drug addiction, providing support for continued research into the construct of food addiction.

Identifiants

pubmed: 32157660
doi: 10.1007/s13668-020-00305-5
pii: 10.1007/s13668-020-00305-5
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

75-82

Auteurs

Eliza L Gordon (EL)

Department of Clinical and Health Psychology, University of Florida, P.O. Box 100165, Gainesville, FL, 32610-0165, USA.

Michelle R Lent (MR)

School of Professional and Applied Psychology, Philadelphia College of Osteopathic Medicine, Rowland Hall 532a, 4190 City Avenue, Philadelphia, PA, 19131, USA.

Lisa J Merlo (LJ)

Department of Psychiatry, University of Florida College of Medicine, McKnight Brain Institute, L4-100K, PO Box 100256, Gainesville, FL, 32611, USA. lmerlo@ufl.edu.

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Classifications MeSH