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Decreased Premotor Cortex Volume in Victims of Urban Violence with Posttraumatic Stress Disorder

Overview of attention for article published in PLOS ONE, August 2012
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Title
Decreased Premotor Cortex Volume in Victims of Urban Violence with Posttraumatic Stress Disorder
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042560
Pubmed ID
Authors

Vanessa Rocha-Rego, Mirtes G. Pereira, Leticia Oliveira, Mauro V. Mendlowicz, Adriana Fiszman, Carla Marques-Portella, William Berger, Carlton Chu, Mateus Joffily, Jorge Moll, Jair J. Mari, Ivan Figueira, Eliane Volchan

Abstract

Studies addressing posttraumatic stress disorder (PTSD) have demonstrated that PTSD patients exhibit structural abnormalities in brain regions that relate to stress regulation and fear responses, such as the hippocampus, amygdala, anterior cingulate cortex, and ventromedial prefrontal cortex. Premotor cortical areas are involved in preparing to respond to a threatening situation and in representing the peripersonal space. Urban violence is an important and pervasive cause of human suffering, especially in large urban centers in the developing world. Violent events, such as armed robbery, are very frequent in certain cities, and these episodes increase the risk of PTSD. Assaultive trauma is characterized by forceful invasion of the peripersonal space; therefore, could this traumatic event be associated with structural alteration of premotor areas in PTSD?

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The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Germany 1 <1%
Unknown 151 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 16%
Student > Bachelor 21 14%
Researcher 19 12%
Student > Master 19 12%
Student > Doctoral Student 12 8%
Other 27 18%
Unknown 32 21%
Readers by discipline Count As %
Psychology 46 30%
Medicine and Dentistry 19 12%
Neuroscience 17 11%
Social Sciences 7 5%
Agricultural and Biological Sciences 6 4%
Other 15 10%
Unknown 44 29%