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Sensory Integration, Sensory Processing, and Sensory Modulation Disorders: Putative Functional Neuroanatomic Underpinnings

Overview of attention for article published in The Cerebellum, June 2011
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 X user
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5 Wikipedia pages
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1 research highlight platform

Citations

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83 Dimensions

Readers on

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328 Mendeley
citeulike
2 CiteULike
Title
Sensory Integration, Sensory Processing, and Sensory Modulation Disorders: Putative Functional Neuroanatomic Underpinnings
Published in
The Cerebellum, June 2011
DOI 10.1007/s12311-011-0288-8
Pubmed ID
Authors

Leonard F. Koziol, Deborah Ely Budding, Dana Chidekel

Abstract

This paper examines conditions that have variously been called sensory integration disorder, sensory processing disorder, and sensory modulation disorder (SID/SPD/SMD). As these conditions lack readily and consistently agreed-upon operational definitions, there has been confusion as to how these disorders are conceptualized. Rather than addressing various diagnostic controversies, we will instead focus upon explaining the symptoms that are believed to characterize these disorders. First, to clarify the overall context within which to view symptoms, we summarize a paradigm of adaptation characterized by continuous sensorimotor interaction with the environment. Next, we review a dual-tiered, integrated model of brain function in order to establish neuroanatomic underpinnings with which to conceptualize the symptom presentations. Generally accepted functions of the neocortex, basal ganglia, and cerebellum are described to illustrate how interactions between these brain regions generate both adaptive and pathological symptoms and behaviors. We then examine the symptoms of SID/SPD/SMD within this interactive model and in relation to their impact upon the development of inhibitory control, working memory, academic skill development, and behavioral automation. We present likely etiologies for these symptoms, not only as they drive neurodevelopmental pathologies but also as they can be understood as variations in the development of neural networks.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
United Kingdom 3 <1%
Germany 1 <1%
Chile 1 <1%
Portugal 1 <1%
France 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 311 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 58 18%
Student > Ph. D. Student 57 17%
Student > Bachelor 42 13%
Researcher 25 8%
Student > Doctoral Student 19 6%
Other 69 21%
Unknown 58 18%
Readers by discipline Count As %
Psychology 65 20%
Medicine and Dentistry 58 18%
Nursing and Health Professions 37 11%
Social Sciences 28 9%
Neuroscience 27 8%
Other 46 14%
Unknown 67 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 October 2023.
All research outputs
#6,718,059
of 23,975,976 outputs
Outputs from The Cerebellum
#166
of 957 outputs
Outputs of similar age
#35,836
of 113,908 outputs
Outputs of similar age from The Cerebellum
#2
of 12 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 957 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 81% 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 113,908 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 68% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.