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Cited by 388

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

Brain Regulation of Appetite and Satiety

Open access
Ahima, Rexford S., Antwi, Daniel A.·2008·Endocrinology and Metabolism Clinics of North America

Abstract

Interest in the control feeding and has increased as a result of the obesity epidemic and rising incidence of metabolic diseases. The brain detects alterations in energy stores and triggers metabolic and behavioral responses designed to maintain energy balance. Energy homeostasis is controlled mainly by neuronal circuits in the hypothalamus and brainstem, whereas reward and motivation aspects of eating behavior are controlled by neurons in limbic regions and cerebral cortex. This article provides an integrated perspective on how metabolic signals emanating from the gastrointestinal tract, adipose tissue and other peripheral organs target the brain to regulate feeding, energy expenditure and hormones. Knowledge of these complex pathways is crucial to the pathogenesis and treatment of obesity and abnormalities of glucose and lipid metabolism.

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Registry

Crossref · 10.1016/j.ecl.2008.08.005

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Metadata

Authors
Ahima, R. S., & Antwi, D. A.
Venue
Endocrinology and Metabolism Clinics of North America
Publisher
Elsevier BV
Published
2008-12
Volume
37
Issue
4
Pages
811-823
ISSN
0889-8529 (ISSN-L)
OpenAlex
W2050385623
Cited by
388
References
84
FWCI
3.68
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Brain Regulation of Appetite and Satiety. https://app.cochat.ai/papers/10.1016/j.ecl.2008.08.005
The paper
Ahima, R. S., & Antwi, D. A. (2008). Brain Regulation of Appetite and Satiety. Endocrinology and Metabolism Clinics of North America. https://doi.org/10.1016/j.ecl.2008.08.005

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.