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Neural markers of errors as endophenotypes in neuropsychiatric disorders

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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186 Mendeley
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1 CiteULike
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Title
Neural markers of errors as endophenotypes in neuropsychiatric disorders
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00350
Pubmed ID
Authors

Dara S. Manoach, Yigal Agam

Abstract

Learning from errors is fundamental to adaptive human behavior. It requires detecting errors, evaluating what went wrong, and adjusting behavior accordingly. These dynamic adjustments are at the heart of behavioral flexibility and accumulating evidence suggests that deficient error processing contributes to maladaptively rigid and repetitive behavior in a range of neuropsychiatric disorders. Neuroimaging and electrophysiological studies reveal highly reliable neural markers of error processing. In this review, we evaluate the evidence that abnormalities in these neural markers can serve as sensitive endophenotypes of neuropsychiatric disorders. We describe the behavioral and neural hallmarks of error processing, their mediation by common genetic polymorphisms, and impairments in schizophrenia, obsessive-compulsive disorder, and autism spectrum disorders. We conclude that neural markers of errors meet several important criteria as endophenotypes including heritability, established neuroanatomical and neurochemical substrates, association with neuropsychiatric disorders, presence in syndromally-unaffected family members, and evidence of genetic mediation. Understanding the mechanisms of error processing deficits in neuropsychiatric disorders may provide novel neural and behavioral targets for treatment and sensitive surrogate markers of treatment response. Treating error processing deficits may improve functional outcome since error signals provide crucial information for flexible adaptation to changing environments. Given the dearth of effective interventions for cognitive deficits in neuropsychiatric disorders, this represents a potentially promising approach.

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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
United States 2 1%
Austria 1 <1%
Netherlands 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 178 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 19%
Researcher 33 18%
Student > Master 27 15%
Student > Bachelor 15 8%
Student > Doctoral Student 10 5%
Other 38 20%
Unknown 28 15%
Readers by discipline Count As %
Psychology 73 39%
Medicine and Dentistry 21 11%
Neuroscience 20 11%
Agricultural and Biological Sciences 11 6%
Nursing and Health Professions 5 3%
Other 17 9%
Unknown 39 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 April 2018.
All research outputs
#7,314,872
of 24,143,470 outputs
Outputs from Frontiers in Human Neuroscience
#2,953
of 7,424 outputs
Outputs of similar age
#76,802
of 288,617 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#402
of 860 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 59% 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 288,617 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 860 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.