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D. Watts, S. Strogatz (1998)
Collective dynamics of ‘small-world’ networksNature, 393
S. Achard, E. Bullmore (2007)
Efficiency and Cost of Economical Brain Functional NetworksPLoS Computational Biology, 3
H. Braakman, M. Vaessen, J. Jansen, M. Hall, A. Louw, P. Hofman, J. Vles, A. Aldenkamp, W. Backes (2014)
Pediatric frontal lobe epilepsy: white matter abnormalities and cognitive impairmentActa Neurologica Scandinavica, 129
G. Gong, P. Rosa-Neto, F. Carbonell, Z. Chen, Yong He, Alan Evans (2009)
Age- and Gender-Related Differences in the Cortical Anatomical NetworkThe Journal of Neuroscience, 29
J. Lawson, M. Cook, Simon Vogrin, L. Litewka, D. Strong, A. Bleasel, A. Bye (2002)
Clinical, EEG, and quantitative MRI differences in pediatric frontal and temporal lobe epilepsyNeurology, 58
A. Harvey, I. Hopkins, J. SBowe, D. Cook, L. Shield, Samuel Berkovic (1993)
Frontal lobe epilepsyNeurology, 43
M. Vaessen, J. Jansen, H. Braakman, P. Hofman, A. Louw, A. Aldenkamp, W. Backes (2014)
Functional and Structural Network Impairment in Childhood Frontal Lobe EpilepsyPLoS ONE, 9
Jun-Ran Zhang, Jinhui Wang, Qizhu Wu, W. Kuang, Xiaoqi Huang, Yong He, Q. Gong (2011)
Disrupted Brain Connectivity Networks in Drug-Naive, First-Episode Major Depressive DisorderBiological Psychiatry, 70
E. Widjaja, M. Zamyadi, C. Raybaud, O. Snead, M.L. Smith (2013)
Impaired Default Mode Network on Resting-State fMRI in Children with Medically Refractory EpilepsyAmerican Journal of Neuroradiology, 34
Q. Cao, N. Shu, L. An, Peng Wang, Li Sun, Mingrui Xia, Jinhui Wang, G. Gong, Y. Zang, Yufeng Wang, Yong He (2013)
Probabilistic Diffusion Tractography and Graph Theory Analysis Reveal Abnormal White Matter Structural Connectivity Networks in Drug-Naive Boys with Attention Deficit/Hyperactivity DisorderThe Journal of Neuroscience, 33
E. Widjaja, A. Kis, C. Go, O. Snead, M. Smith (2014)
Bilateral white matter abnormality in children with frontal lobe epilepsyEpilepsy Research, 108
S. Spencer (2002)
Neural Networks in Human Epilepsy: Evidence of and Implications for TreatmentEpilepsia, 43
O. Friman, Gunnar Farnebäck, C. Westin (2006)
A Bayesian approach for stochastic white matter tractographyIEEE Transactions on Medical Imaging, 25
E. Widjaja, Jovanka Skocic, C. Go, O. Snead, D. Mabbott, M. Smith (2013)
Abnormal white matter correlates with neuropsychological impairment in children with localization‐related epilepsyEpilepsia, 54
Andrey Fedorov, R. Beichel, Jayashree Kalpathy-Cramer, Julien Finet, J. Fillion-Robin, Sonia Pujol, Christian Bauer, D. Jennings, F. Fennessy, M. Sonka, J. Buatti, S. Aylward, James Miller, S. Pieper, R. Kikinis (2012)
3D Slicer as an image computing platform for the Quantitative Imaging Network.Magnetic resonance imaging, 30 9
M. Jenkinson, Stephen Smith (2001)
A global optimisation method for robust affine registration of brain imagesMedical image analysis, 5 2
A. Zalesky, A. Fornito, E. Bullmore (2010)
Network-based statistic: Identifying differences in brain networksNeuroImage, 53
M. Vaessen, Paul Hofman, H. Tijssen, H. Tijssen, A. Aldenkamp, J. Jansen, J. Jansen, W. Backes (2010)
The effect and reproducibility of different clinical DTI gradient sets on small world brain connectivity measuresNeuroImage, 51
A. Zalesky, A. Fornito, M. Seal, L. Cocchi, C. Westin, E. Bullmore, G. Egan, C. Pantelis (2011)
Disrupted Axonal Fiber Connectivity in SchizophreniaBiological Psychiatry, 69
D. Nilsson, C. Go, J. Rutka, B. Rydenhag, D. Mabbott, O. Snead, C. Raybaud, E. Widjaja (2008)
Bilateral diffusion tensor abnormalities of temporal lobe and cingulate gyrus white matter in children with temporal lobe epilepsyEpilepsy Research, 81
M. Vaessen, M. Vaessen, J. Jansen, J. Jansen, M. Vlooswijk, M. Vlooswijk, P. Hofman, P. Hofman, H. Majoie, A. Aldenkamp, A. Aldenkamp, W. Backes, W. Backes (2012)
White matter network abnormalities are associated with cognitive decline in chronic epilepsy.Cerebral cortex, 22 9
Matthew DeSalvo, L. Douw, N. Tanaka, C. Reinsberger, S. Stufflebeam (2014)
Altered structural connectome in temporal lobe epilepsy.Radiology, 270 3
Min Liu, Zhang Chen, C. Beaulieu, D. Gross (2014)
Disrupted anatomic white matter network in left mesial temporal lobe epilepsyEpilepsia, 55
Yongyue Zhang, M. Brady, Stephen Smith (2001)
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 20
Kaiqing Xue, C. Luo, Dan Zhang, Tianhua Yang, D. Yao (2014)
Diffusion tensor tractography reveals disrupted structural connectivity in childhood absence epilepsyEpilepsy Research, 108
R. Holt, J. Provenzale, A. Veerapandiyan, W. Moon, M. Bellis, Soren Leonard, William Gallentine, Gerald Grant, H. Egger, A. Song, M. Mikati (2011)
Structural connectivity of the frontal lobe in children with drug-resistant partial epilepsyEpilepsy & Behavior, 21
F. Bai, N. Shu, Yonggui Yuan, Yong-mei Shi, H. Yu, Di Wu, Jinhui Wang, Mingrui Xia, Yong He, Zhijun Zhang (2012)
Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive ImpairmentThe Journal of Neuroscience, 32
N. Tzourio-Mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, O. Etard, N. Delcroix, B. Mazoyer, M. Joliot (2002)
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject BrainNeuroImage, 15
P. Cook, Y. Bai, S. Nedjati-Gilani, K. Seunarine, M. Hall, G. Parker, D. Alexander (2006)
Camino: Open-Source Diffusion-MRI Reconstruction and Processing
M. Vaessen, H. Braakman, J. Heerink, J. Jansen, M. Hall, P. Hofman, A. Aldenkamp, W. Backes (2013)
Abnormal modular organization of functional networks in cognitively impaired children with frontal lobe epilepsy.Cerebral cortex, 23 8
M. Rubinov, O. Sporns (2010)
Complex network measures of brain connectivity: Uses and interpretationsNeuroImage, 52
J. Talairach, P. Tournoux, A. Musolino, O. Missir (1992)
Stereotaxic exploration in frontal epilepsy.Advances in neurology, 57
Hyunmi Kim, Allan Harrison, P. Kankirawatana, C. Rozzelle, Jeffery Blount, C. Torgerson, Robert Knowlton (2013)
Major white matter fiber changes in medically intractable neocortical epilepsy in children: A diffusion tensor imaging studyEpilepsy Research, 103
E. Widjaja, M. Zamyadi, C. Raybaud, O. Snead, Mary Smith (2013)
Abnormal Functional Network Connectivity among Resting-State Networks in Children with Frontal Lobe EpilepsyAmerican Journal of Neuroradiology, 34
BACKGROUND AND PURPOSE: Structural connectivity has been thought to be a less sensitive measure of network changes relative to functional connectivity in children with localization-related epilepsy. The aims of this study were to investigate the structural networks in children with localization-related epilepsy and to assess the relation among structural connectivity, intelligence quotient, and clinical parameters. MATERIALS AND METHODS: Forty-five children with nonlesional localization-related epilepsy and 28 healthy controls underwent DTI. Global network (network strength, clustering coefficient, characteristic path length, global efficiency, and small-world parameters), regional network (nodal efficiency), and the network-based statistic were compared between patients and controls and correlated with intelligence quotient and clinical parameters. RESULTS: Patients showed disrupted global network connectivity relative to controls, including reduced network strength, increased characteristic path length and reduced global efficiency, and reduced nodal efficiency in the frontal, temporal, and occipital lobes. Connectivity in multiple subnetworks was reduced in patients, including the frontal-temporal, insula-temporal, temporal-temporal, frontal-occipital, and temporal-occipital lobes. The frontal lobe epilepsy subgroup demonstrated more areas with reduced nodal efficiency and more impaired subnetworks than the temporal lobe epilepsy subgroup. Network parameters were not significantly associated with intelligence quotient, age at seizure onset, or duration of epilepsy. CONCLUSIONS: We found disruption in global and regional networks and subnetworks in children with localization-related epilepsy. Regional efficiency and subnetworks were more impaired in frontal lobe epilepsy than in temporal lobe epilepsy. Future studies are needed to evaluate the implications of disrupted networks for surgical resection and outcomes for specific epileptogenic zones and the relation of disrupted networks to more complex cognitive function. ABBREVIATIONS: AAL automated anatomic labeling FLE frontal lobe epilepsy IQ intelligence quotient NBS network-based statistic TLE temporal lobe epilepsy
American Journal of Neuroradiology – American Journal of Neuroradiology
Published: Jul 1, 2015
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