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Contemplating stem cell therapy for epilepsy-induced neuropsychiatric symptoms

Overview of attention for article published in Neuropsychiatric Disease and Treatment, February 2017
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46 Mendeley
Title
Contemplating stem cell therapy for epilepsy-induced neuropsychiatric symptoms
Published in
Neuropsychiatric Disease and Treatment, February 2017
DOI 10.2147/ndt.s114786
Pubmed ID
Authors

Gautam Rao, Sherwin Mashkouri, David Aum, Paul Marcet, Cesar V Borlongan

Abstract

Epilepsy is a debilitating disease that impacts millions of people worldwide. While unprovoked seizures characterize its cardinal symptom, an important aspect of epilepsy that remains to be addressed is the neuropsychiatric component. It has been documented for millennia in paintings and literature that those with epilepsy can suffer from bouts of aggression, depression, and other psychiatric ailments. Current treatments for epilepsy include the use of antiepileptic drugs and surgical resection. Antiepileptic drugs reduce the overall firing of the brain to mitigate the rate of seizure occurrence. Surgery aims to remove a portion of the brain that is suspected to be the source of aberrant firing that leads to seizures. Both options treat the seizure-generating neurological aspect of epilepsy, but fail to directly address the neuropsychiatric components. A promising new treatment for epilepsy is the use of stem cells to treat both the biological and psychiatric components. Stem cell therapy has been shown efficacious in treating experimental models of neurological disorders, including Parkinson's disease, and neuropsychiatric diseases, such as depression. Additional research is necessary to see if stem cells can treat both neurological and neuropsychiatric aspects of epilepsy. Currently, there is no animal model that recapitulates all the clinical hallmarks of epilepsy. This could be due to difficulty in characterizing the neuropsychiatric component of the disease. In advancing stem cell therapy for treating epilepsy, experimental testing of the safety and efficacy of allogeneic and autologous transplantation will require the optimization of cell dosage, delivery, and timing of transplantation in a clinically relevant model of epilepsy with both neurological and neuropsychiatric symptoms of the disease as the primary outcome measures.

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X Demographics

The data shown below were collected from the profiles of 2 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Other 5 11%
Student > Bachelor 5 11%
Researcher 5 11%
Student > Ph. D. Student 5 11%
Other 6 13%
Unknown 14 30%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Neuroscience 7 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Agricultural and Biological Sciences 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Other 8 17%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 March 2018.
All research outputs
#16,188,873
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,550
of 3,120 outputs
Outputs of similar age
#244,584
of 426,137 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#41
of 74 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 426,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.