Literature DB >> 28287564

Feeding Experimentation Device (FED): Construction and Validation of an Open-source Device for Measuring Food Intake in Rodents.

Katrina P Nguyen1, Mohamed A Ali1, Timothy J O'Neal1, Ilona Szczot1, Julia A Licholai2, Alexxai V Kravitz3.   

Abstract

Food intake measurements are essential for many research studies. Here, we provide a detailed description of a novel solution for measuring food intake in mice: the Feeding Experimentation Device (FED). FED is an open-source system that was designed to facilitate flexibility in food intake studies. Due to its compact and battery powered design, FED can be placed within standard home cages or other experimental equipment. Food intake measurements can also be synchronized with other equipment in real-time via FED's transistor-transistor logic (TTL) digital output, or in post-acquisition processing as FED timestamps every event with a real-time clock. When in use, a food pellet sits within FED's food well where it is monitored via an infrared beam. When the pellet is removed by the mouse, FED logs the timestamp onto its internal secure digital (SD) card and dispenses another pellet. FED can run for up to 5 days before it is necessary to charge the battery and refill the pellet hopper, minimizing human interference in data collection. Assembly of FED requires minimal engineering background, and off-the-shelf materials and electronics were prioritized in its construction. We also provide scripts for analysis of food intake and meal patterns. Finally, FED is open-source and all design and construction files are online, to facilitate modifications and improvements by other researchers.

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Year:  2017        PMID: 28287564      PMCID: PMC5409291          DOI: 10.3791/55098

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  9 in total

1.  OpenControl: a free opensource software for video tracking and automated control of behavioral mazes.

Authors:  Paulo Aguiar; Luís Mendonça; Vasco Galhardo
Journal:  J Neurosci Methods       Date:  2007-07-01       Impact factor: 2.390

2.  ELOPTA: a novel microcontroller-based operant device.

Authors:  Adam M Hoffman; Jianjian Song; Elaina M Tuttle
Journal:  Behav Res Methods       Date:  2007-11

3.  ROBucket: A low cost operant chamber based on the Arduino microcontroller.

Authors:  Kavya Devarakonda; Katrina P Nguyen; Alexxai V Kravitz
Journal:  Behav Res Methods       Date:  2016-06

4.  Assessment of feeding behavior in laboratory mice.

Authors:  Kate L J Ellacott; Gregory J Morton; Stephen C Woods; Patrick Tso; Michael W Schwartz
Journal:  Cell Metab       Date:  2010-07-07       Impact factor: 27.287

5.  Ghrelin regulates phasic dopamine and nucleus accumbens signaling evoked by food-predictive stimuli.

Authors:  Jackson J Cone; Jamie D Roitman; Mitchell F Roitman
Journal:  J Neurochem       Date:  2015-03-13       Impact factor: 5.372

6.  Feeding Experimentation Device (FED): A flexible open-source device for measuring feeding behavior.

Authors:  Katrina P Nguyen; Timothy J O'Neal; Olurotimi A Bolonduro; Elecia White; Alexxai V Kravitz
Journal:  J Neurosci Methods       Date:  2016-04-06       Impact factor: 2.390

7.  Neuropeptide Y activity in the nucleus accumbens modulates feeding behavior and neuronal activity.

Authors:  José K van den Heuvel; Kara Furman; Myrtille C R Gumbs; Leslie Eggels; Darren M Opland; Benjamin B Land; Sharon M Kolk; Nandakumar S Narayanan; Eric Fliers; Andries Kalsbeek; Ralph J DiLeone; Susanne E la Fleur
Journal:  Biol Psychiatry       Date:  2014-06-18       Impact factor: 13.382

8.  BEEtag: A Low-Cost, Image-Based Tracking System for the Study of Animal Behavior and Locomotion.

Authors:  James D Crall; Nick Gravish; Andrew M Mountcastle; Stacey A Combes
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

9.  Neurons for hunger and thirst transmit a negative-valence teaching signal.

Authors:  J Nicholas Betley; Shengjin Xu; Zhen Fang Huang Cao; Rong Gong; Christopher J Magnus; Yang Yu; Scott M Sternson
Journal:  Nature       Date:  2015-04-27       Impact factor: 49.962

  9 in total
  2 in total

1.  Coordinated Ramping of Dorsal Striatal Pathways preceding Food Approach and Consumption.

Authors:  Tanisha D London; Julia A Licholai; Ilona Szczot; Mohamed A Ali; Kimberly H LeBlanc; Wambura C Fobbs; Alexxai V Kravitz
Journal:  J Neurosci       Date:  2018-03-09       Impact factor: 6.167

Review 2.  Challenges in quantifying food intake in rodents.

Authors:  Mohamed A Ali; Alexxai V Kravitz
Journal:  Brain Res       Date:  2018-08-15       Impact factor: 3.252

  2 in total

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