↓ Skip to main content

Depression and epilepsy

Overview of attention for article published in Neurology, April 2002
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
127 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Depression and epilepsy
Published in
Neurology, April 2002
DOI 10.1212/wnl.58.8_suppl_5.s27
Pubmed ID
Authors
Abstract

Article abstract Depressive disorders (DDs) are the most common type of psychiatric co-morbidity in patients with epilepsy. They are more likely to occur in patients with partial seizure disorders of temporal and frontal lobe origin and are more frequent among patients with poorly controlled seizures. Despite their relatively high prevalence, DDs remain unrecognized and untreated in a large proportion of patients. This article highlights the evidence of a close association between DDs and epilepsy, beginning with the bi-directional relationship between the two disorders. Not only are patients with epilepsy more likely to experience a DD, but a history of DD preceding the onset of the seizure disorder is more likely to be identified in patients with epilepsy than in a control group. In support of these observations, we review data from animal models of epilepsy showing that decreased activity of serotonin, norepinephrine, dopamine, and GABA facilitate the kindling process of seizure foci, worsen seizure frequency and severity, and are reversed or blocked by antidepressant drugs. Decreased activity of these neurotransmitters is a pivotal pathogenic mechanism of DDs and forms the basis of their pharmacotherapy. Thus, DDs and epilepsy may share common pathogenic mechanisms that facilitate the occurrence of one in the presence of the other. Contrary to long-held beliefs by patients and clinicians alike, in the sense that DDs are a "normal reaction" to the obstacles posed by epilepsy, we review evidence that points to their biologic or endogenous nature. We find a genetic predisposition to DDs, as evidenced by the frequent family history of mood disorders in these patients. Neuroimaging and neuropsychological data support a frontal lobe dysfunction in DDs, and a recent study documents concomitant dysfunction of mesial temporal structures. Depressive disorders have various clinical presentations, some typical of the different types of mood disorders in non-epileptic patients, others constituting rather frequent atypical presentations that can easily go unrecognized. A review of the pharmacologic treatment of DDs in epilepsy highlights the lack of scientific data and points to the empirical form in which these patients have been treated up to the present time. Contrary to clinicians' fears, most antidepressant drugs are safe in patients with epilepsy.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Switzerland 1 <1%
Unknown 126 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 20%
Student > Ph. D. Student 14 11%
Student > Bachelor 11 9%
Student > Master 10 8%
Other 7 6%
Other 28 22%
Unknown 32 25%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 34 27%
Neuroscience 20 16%
Psychology 17 13%
Agricultural and Biological Sciences 10 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 8 6%
Unknown 34 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 September 2015.
All research outputs
#20,660,571
of 25,377,790 outputs
Outputs from Neurology
#18,514
of 21,010 outputs
Outputs of similar age
#124,486
of 127,547 outputs
Outputs of similar age from Neurology
#74
of 77 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one is in the 5th percentile – i.e., 5% 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 127,547 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.