↓ Skip to main content

The energy cost of action potential propagation in dopamine neurons: clues to susceptibility in Parkinson's disease

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
271 Dimensions

Readers on

mendeley
379 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The energy cost of action potential propagation in dopamine neurons: clues to susceptibility in Parkinson's disease
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00013
Pubmed ID
Authors

Eleftheria K. Pissadaki, J. Paul Bolam

Abstract

Dopamine neurons of the substantia nigra pars compacta (SNc) are uniquely sensitive to degeneration in Parkinson's disease (PD) and its models. Although a variety of molecular characteristics have been proposed to underlie this sensitivity, one possible contributory factor is their massive, unmyelinated axonal arbor that is orders of magnitude larger than other neuronal types. We suggest that this puts them under such a high energy demand that any stressor that perturbs energy production leads to energy demand exceeding supply and subsequent cell death. One prediction of this hypothesis is that those dopamine neurons that are selectively vulnerable in PD will have a higher energy cost than those that are less vulnerable. We show here, through the use of a biology-based computational model of the axons of individual dopamine neurons, that the energy cost of axon potential propagation and recovery of the membrane potential increases with the size and complexity of the axonal arbor according to a power law. Thus SNc dopamine neurons, particularly in humans, whose axons we estimate to give rise to more than 1 million synapses and have a total length exceeding 4 m, are at a distinct disadvantage with respect to energy balance which may be a factor in their selective vulnerability in PD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 379 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Chile 1 <1%
Australia 1 <1%
Germany 1 <1%
Canada 1 <1%
Greece 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 369 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 24%
Researcher 52 14%
Student > Master 51 13%
Student > Bachelor 50 13%
Student > Doctoral Student 13 3%
Other 44 12%
Unknown 79 21%
Readers by discipline Count As %
Neuroscience 92 24%
Agricultural and Biological Sciences 69 18%
Biochemistry, Genetics and Molecular Biology 44 12%
Medicine and Dentistry 32 8%
Engineering 17 4%
Other 31 8%
Unknown 94 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 19 November 2021.
All research outputs
#2,653,114
of 22,701,287 outputs
Outputs from Frontiers in Computational Neuroscience
#114
of 1,336 outputs
Outputs of similar age
#28,148
of 280,698 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#10
of 131 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 91% 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 280,698 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.