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Luria revisited: cognitive research in schizophrenia, past implications and future challenges

Overview of attention for article published in Philosophy, Ethics, and Humanities in Medicine, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

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Title
Luria revisited: cognitive research in schizophrenia, past implications and future challenges
Published in
Philosophy, Ethics, and Humanities in Medicine, February 2015
DOI 10.1186/s13010-015-0026-9
Pubmed ID
Authors

Yuliya Zaytseva, Raymond CK Chan, Ernst Pöppel, Andreas Heinz

Abstract

Contemporary psychiatry is becoming more biologically oriented in the attempt to elicit a biological rationale of mental diseases. Although mental disorders comprise mostly functional abnormalities, there is a substantial overlap between neurology and psychiatry in addressing cognitive disturbances. In schizophrenia, the presence of cognitive impairment prior to the onset of psychosis and early after its manifestation suggests that some neurocognitive abnormalities precede the onset of psychosis and may represent a trait marker. These cognitive alterations may arise from functional disconnectivity, as no significant brain damage has been found. In this review we aim to revise A.R. Luria's systematic approach used in the neuropsychological evaluation of cognitive functions, which was primarily applied in patients with neurological disorders and in the cognitive evaluation in schizophrenia and other related disorders. As proposed by Luria, cognitive processes, associated with higher cortical functions, may represent functional systems that are not localized in narrow, circumscribed areas of the brain, but occur among groups of concertedly working brain structures, each of which makes its own particular contribution to the organization of the functional system. Current developments in neuroscience provide evidence of functional connectivity in the brain. Therefore, Luria's approach may serve as a frame of reference for the analysis and interpretation of cognitive functions in general and their abnormalities in schizophrenia in particular. Having said that, modern technology, as well as experimental evidence, may help us to understand the brain better and lead us towards creating a new classification of cognitive functions. In schizophrenia research, multidisciplinary approaches must be utilized to address specific cognitive alterations. The relationships among the components of cognitive functions derived from the functional connectivity of the brain may provide an insight into cognitive machinery.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Puerto Rico 1 1%
Brazil 1 1%
Unknown 70 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Student > Bachelor 7 10%
Researcher 6 8%
Student > Postgraduate 6 8%
Student > Ph. D. Student 5 7%
Other 16 22%
Unknown 21 29%
Readers by discipline Count As %
Psychology 23 32%
Medicine and Dentistry 10 14%
Neuroscience 8 11%
Engineering 3 4%
Agricultural and Biological Sciences 2 3%
Other 5 7%
Unknown 22 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 07 September 2021.
All research outputs
#2,629,614
of 25,481,734 outputs
Outputs from Philosophy, Ethics, and Humanities in Medicine
#67
of 235 outputs
Outputs of similar age
#31,812
of 270,370 outputs
Outputs of similar age from Philosophy, Ethics, and Humanities in Medicine
#6
of 6 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 235 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 71% 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 270,370 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 88% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.