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Biological sources of inflexibility in brain and behavior with aging and neurodegenerative diseases

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2012
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Title
Biological sources of inflexibility in brain and behavior with aging and neurodegenerative diseases
Published in
Frontiers in Systems Neuroscience, January 2012
DOI 10.3389/fnsys.2012.00077
Pubmed ID
Authors

S. Lee Hong, George V. Rebec

Abstract

Almost unequivocally, aging and neurodegeneration lead to deficits in neural information processing. These declines are marked by increased neural noise that is associated with increased variability or inconsistency in behavioral patterns. While it is often viewed that these problems arise from dysregulation of dopamine (DA), a monoamine modulator, glutamate (GLU), an excitatory amino acid that interacts with DA, also plays a role in determining the level of neural noise. We review literature demonstrating that neural noise is highest at both high and low levels of DA and GLU, allowing their interaction to form a many-to-one solution map for neural noise modulation. With aging and neurodegeneration, the range over which DA and GLU can be modulated is decreased leading to inflexibility in brain activity and behavior. As the capacity to modulate neural noise is restricted, the ability to shift noise from one brain region to another is reduced, leading to greater uniformity in signal-to-noise ratios across the entire brain. A negative consequence at the level of behavior is inflexibility that reduces the ability to: (1) switch from one behavior to another; and (2) stabilize a behavioral pattern against external perturbations. In this paper, we develop a theoretical framework where inflexibility across brain and behavior, rather than inconsistency and variability is the more important problem in aging and neurodegeneration. This theoretical framework of inflexibility in aging and neurodegeneration leads to the hypotheses that: (1) dysfunction in either or both of the DA and GLU systems restricts the ability to modulate neural noise; and (2) levels of neural noise and variability in brain activation will be dedifferentiated and more evenly distributed across the brain; and (3) changes in neural noise and behavioral variability in response to different task demands and changes in the environment will be reduced.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Australia 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 7 14%
Student > Doctoral Student 7 14%
Student > Bachelor 4 8%
Professor 4 8%
Other 12 24%
Unknown 8 16%
Readers by discipline Count As %
Psychology 10 20%
Neuroscience 6 12%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 5 10%
Computer Science 3 6%
Other 12 24%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 May 2013.
All research outputs
#14,738,780
of 22,687,320 outputs
Outputs from Frontiers in Systems Neuroscience
#886
of 1,339 outputs
Outputs of similar age
#159,259
of 244,125 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#29
of 51 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 244,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.