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Entity

Name
Psychomotor Performance
Namespace
mesh
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/8ccfed235e418e4c8aa576f9a5ef0f838e794c7f/external/mesh-names.belns

Appears in Networks 2

In-Edges 5

path(MESH:"Alzheimer Disease") decreases path(MESH:"Psychomotor Performance") View Subject | View Object

Alzheimer’s disease (AD) is the most common form of dementia in elderly persons. It is a neurodegenerative disease marked by decline in memory and cognitive performance, including deterioration of language as well as defects in visual and motor coordination, and eventual death (for review, see Cummings, 2004). PubMed:19293145

a(PUBCHEM:9832404) increases path(MESH:"Psychomotor Performance") View Subject | View Object

Importantly, negative geotaxis, a test used to investigate motor coordination and vestibular sensitivity, showed delayed development in Adnp+/– mice and normalization with NAP treatment (Figure 5D). PubMed:30106381

a(PUBCHEM:9832404) increases path(MESH:"Psychomotor Performance") View Subject | View Object

Specifically, the standing time and step cycle parameters indicated better performance in males, with significant impairments seen in Adnp+/– mice and amelioration with NAP treatment (Figure 6, C and D). PubMed:30106381

p(HGNC:ADNP, pmod(MESH:Haploinsufficiency)) decreases path(MESH:"Psychomotor Performance") View Subject | View Object

Importantly, negative geotaxis, a test used to investigate motor coordination and vestibular sensitivity, showed delayed development in Adnp+/– mice and normalization with NAP treatment (Figure 5D). PubMed:30106381

p(HGNC:ADNP, pmod(MESH:Haploinsufficiency)) decreases path(MESH:"Psychomotor Performance") View Subject | View Object

Specifically, the standing time and step cycle parameters indicated better performance in males, with significant impairments seen in Adnp+/– mice and amelioration with NAP treatment (Figure 6, C and D). PubMed:30106381

Out-Edges 0

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.