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Effect of epilepsy on autism symptoms in Angelman syndrome

Overview of attention for article published in Molecular Autism, January 2018
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  • Good Attention Score compared to outputs of the same age (71st percentile)

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Title
Effect of epilepsy on autism symptoms in Angelman syndrome
Published in
Molecular Autism, January 2018
DOI 10.1186/s13229-017-0185-1
Pubmed ID
Authors

Kristin A. Bakke, Patricia Howlin, Lars Retterstøl, Øivind J. Kanavin, Arvid Heiberg, Terje Nærland

Abstract

Autism spectrum disorder and epilepsy often co-occur; however, the extent to which the association between autism symptoms and epilepsy is due to shared aetiology or to the direct effects of seizures is a topic of ongoing debate. Angelman syndrome (AS) is presented as a suitable disease model to explore this association. Data from medical records and questionnaires were used to examine the association between age of epilepsy onset, autism symptoms, genetic aberration and communication level. Forty-eight participants had genetically verified AS (median age 14.5 years; range 1-57 years). A measure of autism symptoms (the Social Communication Questionnaire; SCQ) was completed for 38 individuals aged ≥ 4 years. Genetic cause was subgrouped into deletion and other genetic aberrations of the 15q11-q13 area. The number of signs used to communicate (< 20 sign and ≥ 20 signs) was used as a measure of nonverbal communication. Mean age of epilepsy onset was 3.0 years (range 3 months-7.8 years). Mean SCQ score for individuals without epilepsy was 13.6 (SD = 6.7) and with epilepsy 17.0 (SD = 5.6; p = 0.17); 58% used fewer than 20 signs to communicate. There were no age differences between groups according to presence of epilepsy, level of nonverbal communication or type of genetic aberration. SCQ scores were higher in individuals with the deletion than in those with other genetic aberrations (18.7 vs 10.8 p = 0.008) and higher in the group who used < 20 signs to communicate (19.4 vs 14.1 p = 0.007). Age of epilepsy onset was correlated with SCQ (r = - 0.61, p < 0.001). Multiple regression showed that age of seizure onset was significantly related to SCQ score (β = - 0.90; p = 0.006), even when the type of genetic abnormality was controlled (R2 = 0.53; F = 10.7; p = 0.001). The study provides support for the notion that seizures themselves contribute more to autism symptoms than expected from the underlying genetic pathology alone. The study demonstrates how a rare genetic syndrome such as Angelman syndrome may be used to study the relation between epilepsy and autism symptomatology.

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The data shown below were collected from the profiles of 9 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Researcher 11 15%
Student > Bachelor 8 11%
Student > Ph. D. Student 7 9%
Student > Doctoral Student 5 7%
Other 12 16%
Unknown 19 26%
Readers by discipline Count As %
Psychology 17 23%
Medicine and Dentistry 8 11%
Neuroscience 7 9%
Agricultural and Biological Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 10 14%
Unknown 23 31%
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 11 June 2018.
All research outputs
#7,023,426
of 25,654,806 outputs
Outputs from Molecular Autism
#445
of 722 outputs
Outputs of similar age
#129,831
of 451,755 outputs
Outputs of similar age from Molecular Autism
#12
of 16 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 37th percentile – i.e., 37% 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 451,755 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 71% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.