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Entity

Name
Memory, Short-Term
Namespace
mesh
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/8ccfed235e418e4c8aa576f9a5ef0f838e794c7f/external/mesh-names.belns

Appears in Networks 1

Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer's disease and schizophrenia. v1.0.0

This file encodes the article Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer’s disease and schizophrenia by Choi et al, 2014

In-Edges 2

a(CHEBI:xanomeline) increases path(MESH:"Memory, Short-Term") View Subject | View Object

In addition, xanomeline produced statistically significant improvements in verbal learning and short-term memory, indicating efficacy in treating cognitive symptoms.40 Unfortunately, gastrointestinal side effects were observed, and dose limitations have removed it from consideration for long-term clinical use. PubMed:24511233

path(MESH:Schizophrenia) association path(MESH:"Memory, Short-Term") View Subject | View Object

The hallmark psychotic symptoms of SZ are the positive cluster and include auditory hallucinations, delusional beliefs, and disorganized thoughts and speech. SZ patients also exhibit negative symptoms, including anhedonia, dysfunctional social interactions, and poverty of thoughts and speech, as well as cognitive disturbances affecting several behavioral domains, including working memory, attention, and executive function PubMed:24511233

Out-Edges 1

path(MESH:"Memory, Short-Term") association path(MESH:Schizophrenia) View Subject | View Object

The hallmark psychotic symptoms of SZ are the positive cluster and include auditory hallucinations, delusional beliefs, and disorganized thoughts and speech. SZ patients also exhibit negative symptoms, including anhedonia, dysfunctional social interactions, and poverty of thoughts and speech, as well as cognitive disturbances affecting several behavioral domains, including working memory, attention, and executive function PubMed:24511233

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.