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Brain Imaging in Behavioral Neuroscience

Overview of attention for book
Cover of 'Brain Imaging in Behavioral Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 165 Molecular Imaging and the Neuropathologies of Parkinson’s Disease
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    Chapter 166 Magnetic Resonance Spectroscopic Methods for the Assessment of Metabolic Functions in the Diseased Brain
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    Chapter 167 PET Applications in Animal Models of Neurodegenerative and Neuroinflammatory Disorders
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    Chapter 168 Nonhuman Primate Models of Addiction and PET Imaging: Dopamine System Dysregulation
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    Chapter 169 Food and Drug Reward: Overlapping Circuits in Human Obesity and Addiction.
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    Chapter 172 Structural, Functional and Spectroscopic MRI Studies of Methamphetamine Addiction.
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    Chapter 173 fMRI as a Measure of Cognition Related Brain Circuitry in Schizophrenia
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    Chapter 174 Imaging of Seasonal Affective Disorder and Seasonality Effects on Serotonin and Dopamine Function in the Human Brain
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    Chapter 175 MRI Studies in Late-Life Mood Disorders.
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    Chapter 176 The Role of Diffusion Tensor Imaging in the Study of Cognitive Aging
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    Chapter 177 Pharmacological MRI Approaches to Understanding Mechanisms of Drug Action
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    Chapter 197 MR Spectroscopic Studies of the Brain in Psychiatric Disorders.
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    Chapter 200 Neural and Behavioral Endophenotypes in ADHD.
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    Chapter 206 Experimental Protocols for Behavioral Imaging: Seeing Animal Models of Drug Abuse in a New Light.
Attention for Chapter 169: Food and Drug Reward: Overlapping Circuits in Human Obesity and Addiction.
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 486)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
6 X users
facebook
3 Facebook pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
418 Mendeley
citeulike
2 CiteULike
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Chapter title
Food and Drug Reward: Overlapping Circuits in Human Obesity and Addiction.
Chapter number 169
Book title
Brain Imaging in Behavioral Neuroscience
Published in
Current topics in behavioral neurosciences, October 2011
DOI 10.1007/7854_2011_169
Pubmed ID
Book ISBNs
978-3-64-228710-7, 978-3-64-228711-4
Authors

N. D. Volkow, G. J. Wang, J. S. Fowler, D. Tomasi, R. Baler, Volkow ND, Wang GJ, Fowler JS, Tomasi D, Baler R, Volkow, N. D., Wang, G. J., Fowler, J. S., Tomasi, D., Baler, R.

Abstract

Both drug addiction and obesity can be defined as disorders in which the saliency value of one type of reward (drugs and food, respectively) becomes abnormally enhanced relative to, and at the expense of others. This model is consistent with the fact that both drugs and food have powerful reinforcing effects-partly mediated by dopamine increases in the limbic system-that, under certain circumstances or in vulnerable individuals, could overwhelm the brain's homeostatic control mechanisms. Such parallels have generated significant interest in understanding the shared vulnerabilities and trajectories between addiction and obesity. Now, brain imaging discoveries have started to uncover common features between these two conditions and to delineate some of the overlapping brain circuits whose dysfunctions may explain stereotypic and related behavioral deficits in human subjects. These results suggest that both obese and drug-addicted individuals suffer from impairments in dopaminergic pathways that regulate neuronal systems associated not only with reward sensitivity and incentive motivation, but also with conditioning (memory/learning), impulse control (behavioural inhibition), stress reactivity, and interoceptive awareness. Here, we integrate findings predominantly derived from positron emission tomography that shed light on the role of dopamine in drug addiction and in obesity, and propose an updated working model to help identify treatment strategies that may benefit both of these conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 418 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 <1%
United States 3 <1%
Spain 3 <1%
Netherlands 1 <1%
Ethiopia 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Italy 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 402 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 18%
Researcher 65 16%
Student > Master 65 16%
Student > Bachelor 55 13%
Student > Doctoral Student 19 5%
Other 66 16%
Unknown 71 17%
Readers by discipline Count As %
Psychology 112 27%
Medicine and Dentistry 59 14%
Neuroscience 50 12%
Agricultural and Biological Sciences 43 10%
Biochemistry, Genetics and Molecular Biology 14 3%
Other 45 11%
Unknown 95 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2020.
All research outputs
#812,081
of 22,656,971 outputs
Outputs from Current topics in behavioral neurosciences
#21
of 486 outputs
Outputs of similar age
#3,455
of 139,967 outputs
Outputs of similar age from Current topics in behavioral neurosciences
#1
of 5 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 486 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 139,967 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them