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Disruption of cerebral networks and cognitive impairment in Alzheimer disease

(2013) NEUROLOGY. 80(15). p.1370-1377
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Organization
Abstract
Objective: To examine the relation between measures of whole-brain white matter connectivity and cognitive performance in patients with early Alzheimer disease (AD) using a network-based approach and to assess whether network parameters provide information that is complementary to conventional MRI markers of AD. Methods: Fifty patients (mean age 78.8 +/- 7.1 years) with early AD were recruited via a memory clinic. In addition, 15 age-, sex-, and education-matched control participants were used as a reference group. All participants underwent a 3-T MRI scan and cognitive assessment. Diffusion tensor imaging-based tractography was used to reconstruct the brain network of each individual, followed by graph theoretical analyses. Overall network efficiency was assessed by measures of local (clustering coefficient, local efficiency) and global (path length, global efficiency) connectivity. Age-, sex-, and education-adjusted cognitive scores were related to network measures and to conventional MRI parameters (i.e., degree of cerebral atrophy and small-vessel disease). Results: The structural brain network of patients showed reduced local efficiency compared to controls. Within the patient group, worse performance in memory and executive functioning was related to decreased local efficiency (r = 0.434; p = 0.002), increased path length (r = -0.538; p < 0.001), and decreased global efficiency (r = 0.431; p = 0.005). Measures of network efficiency explained up to 27% of the variance in cognitive functioning on top of conventional MRI markers (p < 0.01). Conclusion: This study shows that network-based analysis of brain white matter connections provides a novel way to reveal the structural basis of cognitive dysfunction in AD.
Keywords
BRAIN NETWORKS, DEMENTIA, FUNCTIONAL CONNECTIVITY, CORTICAL NETWORKS, GRAPH-THEORETICAL ANALYSIS, LEWY BODIES, MEDIAL TEMPORAL ATROPHY, STABILITY, SCALE, MRI

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Citation

Please use this url to cite or link to this publication:

MLA
Reijmer, Yael D, Alexander Leemans, Karen Caeyenberghs, et al. “Disruption of Cerebral Networks and Cognitive Impairment in Alzheimer Disease.” NEUROLOGY 80.15 (2013): 1370–1377. Print.
APA
Reijmer, Y. D., Leemans, A., Caeyenberghs, K., Heringa, S. M., Koek, H. L., & Biessels, G. J. (2013). Disruption of cerebral networks and cognitive impairment in Alzheimer disease. NEUROLOGY, 80(15), 1370–1377.
Chicago author-date
Reijmer, Yael D, Alexander Leemans, Karen Caeyenberghs, Sophie M Heringa, Huiberdina L Koek, and Geert Jan Biessels. 2013. “Disruption of Cerebral Networks and Cognitive Impairment in Alzheimer Disease.” Neurology 80 (15): 1370–1377.
Chicago author-date (all authors)
Reijmer, Yael D, Alexander Leemans, Karen Caeyenberghs, Sophie M Heringa, Huiberdina L Koek, and Geert Jan Biessels. 2013. “Disruption of Cerebral Networks and Cognitive Impairment in Alzheimer Disease.” Neurology 80 (15): 1370–1377.
Vancouver
1.
Reijmer YD, Leemans A, Caeyenberghs K, Heringa SM, Koek HL, Biessels GJ. Disruption of cerebral networks and cognitive impairment in Alzheimer disease. NEUROLOGY. 2013;80(15):1370–7.
IEEE
[1]
Y. D. Reijmer, A. Leemans, K. Caeyenberghs, S. M. Heringa, H. L. Koek, and G. J. Biessels, “Disruption of cerebral networks and cognitive impairment in Alzheimer disease,” NEUROLOGY, vol. 80, no. 15, pp. 1370–1377, 2013.
@article{4318676,
  abstract     = {Objective: To examine the relation between measures of whole-brain white matter connectivity and cognitive performance in patients with early Alzheimer disease (AD) using a network-based approach and to assess whether network parameters provide information that is complementary to conventional MRI markers of AD. 
Methods: Fifty patients (mean age 78.8 +/- 7.1 years) with early AD were recruited via a memory clinic. In addition, 15 age-, sex-, and education-matched control participants were used as a reference group. All participants underwent a 3-T MRI scan and cognitive assessment. Diffusion tensor imaging-based tractography was used to reconstruct the brain network of each individual, followed by graph theoretical analyses. Overall network efficiency was assessed by measures of local (clustering coefficient, local efficiency) and global (path length, global efficiency) connectivity. Age-, sex-, and education-adjusted cognitive scores were related to network measures and to conventional MRI parameters (i.e., degree of cerebral atrophy and small-vessel disease). 
Results: The structural brain network of patients showed reduced local efficiency compared to controls. Within the patient group, worse performance in memory and executive functioning was related to decreased local efficiency (r = 0.434; p = 0.002), increased path length (r = -0.538; p < 0.001), and decreased global efficiency (r = 0.431; p = 0.005). Measures of network efficiency explained up to 27% of the variance in cognitive functioning on top of conventional MRI markers (p < 0.01). 
Conclusion: This study shows that network-based analysis of brain white matter connections provides a novel way to reveal the structural basis of cognitive dysfunction in AD.},
  author       = {Reijmer, Yael D and Leemans, Alexander and Caeyenberghs, Karen and Heringa, Sophie M and Koek, Huiberdina L and Biessels, Geert Jan},
  issn         = {0028-3878},
  journal      = {NEUROLOGY},
  keywords     = {BRAIN NETWORKS,DEMENTIA,FUNCTIONAL CONNECTIVITY,CORTICAL NETWORKS,GRAPH-THEORETICAL ANALYSIS,LEWY BODIES,MEDIAL TEMPORAL ATROPHY,STABILITY,SCALE,MRI},
  language     = {eng},
  number       = {15},
  pages        = {1370--1377},
  title        = {Disruption of cerebral networks and cognitive impairment in Alzheimer disease},
  url          = {http://dx.doi.org/10.1212/WNL.0b013e31828c2ee5},
  volume       = {80},
  year         = {2013},
}

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