↓ Skip to main content

In search of neurophysiological markers of pervasive developmental disorders: smooth pursuit eye movements?

Overview of attention for article published in Journal of Neural Transmission, July 2004
Altmetric Badge

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
49 Mendeley
Title
In search of neurophysiological markers of pervasive developmental disorders: smooth pursuit eye movements?
Published in
Journal of Neural Transmission, July 2004
DOI 10.1007/s00702-004-0164-5
Pubmed ID
Authors

C. Kemner, J. N. van der Geest, M. N. Verbaten, H. van Engeland

Abstract

Genetic studies of autism would benefit from the identification of (neurophysiological) markers of the disease. Reports that subjects with autism suffer from abnormalities of visual motor processing, indicate that abnormalities in smooth pursuit eye movements (SPEM) may be a marker of the disorder. Sixteen high-functioning school-aged children with pervasive developmental disorder (PDD) were compared with a matched group of eighteen normally developing controls on performance of a SPEM task and a task which tested the integrity of visually guided saccadic eye movements. Both groups of children had normal eye movements during performance of these tasks. Thus abnormalities in SPEM would appear not to be a marker of PDD. The earlier reported abnormalities in visual motion processing might need to be reinterpreted.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United Kingdom 1 2%
Canada 1 2%
Belgium 1 2%
United States 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 9 18%
Student > Master 6 12%
Student > Postgraduate 5 10%
Student > Doctoral Student 4 8%
Other 10 20%
Unknown 5 10%
Readers by discipline Count As %
Psychology 25 51%
Medicine and Dentistry 8 16%
Neuroscience 5 10%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 6 12%