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Network-Level Structural Abnormalities of Cerebral Cortex in Type 1 Diabetes Mellitus

Overview of attention for article published in PLOS ONE, August 2013
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Title
Network-Level Structural Abnormalities of Cerebral Cortex in Type 1 Diabetes Mellitus
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0071304
Pubmed ID
Authors

In Kyoon Lyoo, Sujung Yoon, Perry F. Renshaw, Jaeuk Hwang, Sujin Bae, Gail Musen, Jieun E. Kim, Nicolas Bolo, Hyeonseok S. Jeong, Donald C. Simonson, Sun Hea Lee, Katie Weinger, Jiyoung J. Jung, Christopher M. Ryan, Yera Choi, Alan M. Jacobson

Abstract

Type 1 diabetes mellitus (T1DM) usually begins in childhood and adolescence and causes lifelong damage to several major organs including the brain. Despite increasing evidence of T1DM-induced structural deficits in cortical regions implicated in higher cognitive and emotional functions, little is known whether and how the structural connectivity between these regions is altered in the T1DM brain. Using inter-regional covariance of cortical thickness measurements from high-resolution T1-weighted magnetic resonance data, we examined the topological organizations of cortical structural networks in 81 T1DM patients and 38 healthy subjects. We found a relative absence of hierarchically high-level hubs in the prefrontal lobe of T1DM patients, which suggests ineffective top-down control of the prefrontal cortex in T1DM. Furthermore, inter-network connections between the strategic/executive control system and systems subserving other cortical functions including language and mnemonic/emotional processing were also less integrated in T1DM patients than in healthy individuals. The current results provide structural evidence for T1DM-related dysfunctional cortical organization, which specifically underlie the top-down cognitive control of language, memory, and emotion.

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The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
India 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 10 18%
Student > Master 7 12%
Student > Bachelor 7 12%
Professor 4 7%
Other 10 18%
Unknown 6 11%
Readers by discipline Count As %
Psychology 15 26%
Medicine and Dentistry 11 19%
Neuroscience 8 14%
Agricultural and Biological Sciences 5 9%
Nursing and Health Professions 3 5%
Other 8 14%
Unknown 7 12%