Literature DB >> 16828817

Activation in neural networks controlling ingestive behaviors: what does it mean, and how do we map and measure it?

Alan G Watts1, Arshad M Khan, Graciela Sanchez-Watts, Dawna Salter, Christina M Neuner.   

Abstract

Over the past thirty years many of different methods have been developed that use markers to track or image the activity of the neurons within the central networks that control ingestive behaviors. The ultimate goal of these experiments is to identify the location of neurons that participate in the response to an identified stimulus, and more widely to define the structure and function of the networks that control specific aspects of ingestive behavior. Some of these markers depend upon the rapid accumulation of proteins, while others reflect altered energy metabolism as neurons change their firing rates. These methods are widely used in behavioral neuroscience, but the way results are interpreted within the context of defining neural networks is constrained by how we answer the following questions. How well can the structure of the behavior be documented? What do we know about the processes that lead to the accumulation of the marker? What is the function of the marker within the neuron? How closely in time does the marker accumulation track the stimulus? How long does the marker persist after the stimulus is removed? We will review how these questions can be addressed with regard to ingestive and related behaviors. We will also discuss the importance of plotting the location of labeled cells using standardized atlases to facilitate the presentation and comparison of data between experiments and laboratories. Finally, we emphasize the importance of comprehensive and accurate mapping for using newly emerging technologies in neuroinfomatics.

Mesh:

Substances:

Year:  2006        PMID: 16828817     DOI: 10.1016/j.physbeh.2006.05.025

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  12 in total

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2.  Contextual fear retrieval-induced Fos expression across early development in the rat: An analysis using established nervous system nomenclature ontology.

Authors:  Anthony J Santarelli; Arshad M Khan; Andrew M Poulos
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4.  The role of hypothalamic ingestive behavior controllers in generating dehydration anorexia: a Fos mapping study.

Authors:  Dawna Salter-Venzon; Alan G Watts
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2008-07-30       Impact factor: 3.619

Review 5.  Sweet talk in the brain: glucosensing, neural networks, and hypoglycemic counterregulation.

Authors:  Alan G Watts; Casey M Donovan
Journal:  Front Neuroendocrinol       Date:  2009-10-24       Impact factor: 8.606

6.  Specific amino acids inhibit food intake via the area postrema or vagal afferents.

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Review 7.  How do we know if the brain is wired for type 2 diabetes?

Authors:  Alan G Watts
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8.  Rapid-onset hypoglycemia suppresses Fos expression in discrete parts of the ventromedial nucleus of the hypothalamus.

Authors:  Nicholas N Foster; Sana Azam; Alan G Watts
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-03-30       Impact factor: 3.619

9.  Neural input is critical for arcuate hypothalamic neurons to mount intracellular signaling responses to systemic insulin and deoxyglucose challenges in male rats: implications for communication within feeding and metabolic control networks.

Authors:  Arshad M Khan; Ellen M Walker; Nicole Dominguez; Alan G Watts
Journal:  Endocrinology       Date:  2013-11-21       Impact factor: 4.736

10.  The rate of fall of blood glucose determines the necessity of forebrain-projecting catecholaminergic neurons for male rat sympathoadrenal responses.

Authors:  Anne J Jokiaho; Casey M Donovan; Alan G Watts
Journal:  Diabetes       Date:  2014-04-16       Impact factor: 9.461

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