Individual classification of children with epilepsy using support vector machine with multiple indices of diffusion tensor imaging

NeuroImage: Clinical

Volumn 4, Issue , 2014, Pages 757-764

  Amarreh, Ishmael ^a   Meyerand, Mary E ^a   Stafstrom, Carl ^a   Hermann, Bruce P ^a   Birn, Rasmus M ^a  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Childhood epilepsy; DTI; Remission; Support vector machine

Indexed keywords

ADOLESCENT; ADULT; ANTICONVULSANT THERAPY; ARTICLE; AXIAL DIFFUSIVITY; BENIGN CHILDHOOD EPILEPSY; CHILD; CLINICAL ARTICLE; COMBINATION CHEMOTHERAPY; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIFFUSION TENSOR IMAGING; DISEASE CLASSIFICATION; DISEASE DURATION; EVALUATION STUDY; FEASIBILITY STUDY; FEMALE; FRACTIONAL ANISOTROPY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INTELLIGENCE QUOTIENT; LONGITUDINAL STUDY; MALE; MEAN DIFFUSIVITY; MONOTHERAPY; NUCLEAR MAGNETIC RESONANCE SCANNER; ONSET AGE; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; RADIAL DIFFUSIVITY; RADIOLOGICAL PARAMETERS; REMISSION; SCHOOL CHILD; SEIZURE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; WHITE MATTER LESION; BRAIN; BRAIN MAPPING; CROSS-SECTIONAL STUDY; DIFFUSION; GENERALIZED EPILEPSY; INTRACTABLE EPILEPSY; MACHINE LEARNING; NEUROIMAGING; PATIENT CODING; SPATIAL ANALYSIS; TRACT BASED SPATIAL STATISTICS; WEKA SOFTWARE; WHITE MATTER; ANISOTROPY; CASE CONTROL STUDY; CLASSIFICATION; EPILEPSY; IMAGE PROCESSING; PATHOLOGY;

ANTICONVULSIVE AGENT;

ADOLESCENT; ANISOTROPY; BRAIN; CASE-CONTROL STUDIES; CHILD; DIFFUSION TENSOR IMAGING; EPILEPSY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 84899828290     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2014.02.006     Document Type: Article

References (44)

1. I. Amarreh, K. Dabbs, D.C. Jackson, J.E. Jones, M.E. Meyerand, and C.E. Stafstrom et al. Cerebral white matter integrity in children with active versus remitted epilepsy 5 years after diagnosis Epilepsy Res. 107 3 2013 263 271
2. K. Arfanakis, B.P. Hermann, B.P. Rogers, J.D. Carew, M. Seidenberg, and M.E. Meyerand Diffusion tensor MRI in temporal lobe epilepsy Magn. Reson. Imaging 20 7 2002 511 519 (Pubitemid 35304036)
3. A.T. Berg, S. Shinnar, S.R. Levy, F.M. Testa, S. Smith-Rapaport, and B. Beckerman Early development of intractable epilepsy in children: a prospective study Neurology 56 11 2001 1445 1452 (Pubitemid 32532255)
4. A.T. Berg, S. Shinnar, S.R. Levy, F.M. Testa, S. Smith-Rapaport, and B. Beckerman et al. Two-year remission and subsequent relapse in children with newly diagnosed epilepsy Epilepsia 42 12 2001 1553 1562 (Pubitemid 34020093)
5. P.A. Bouma, A.C. Bovenkerk, R.G. Westendorp, and O.F. Brouwer The course of benign partial epilepsy of childhood with centrotemporal spikes: a meta-analysis Neurology 48 2 1997 430 437 (Pubitemid 27087616)
6. C. Camfield, P. Camfield, K. Gordon, and J. Dooley Does the number of seizures before treatment influence ease of control or remission of childhood epilepsy? Not if the number is 10 or less Neurology 46 1 1996 41 44 (Pubitemid 26156099)
7. O.C. Cockerell, A.L. Johnson, J.W. Sander, Y.M. Hart, and S.D. Shorvon Remission of epilepsy: results from the National General Practice Study of Epilepsy Lancet 346 8968 1995 140 144
8. L. Concha, C. Beaulieu, D.L. Collins, and D.W. Gross White-matter diffusion abnormalities in temporal-lobe epilepsy with and without mesial temporal sclerosis J. Neurol. Neurosurg. Psychiatry 80 3 2009 312 319
9. R.S. Desikan, H.J. Cabral, C.P. Hess, W.P. Dillon, C.M. Glastonbury, and M.W. Weiner et al. Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease Brain 132 8 2009 2048 2057
10. B. Diehl, R.M. Busch, J.S. Duncan, Z. Piao, J. Tkach, and H.O. Lüders Abnormalities in diffusion tensor imaging of the uncinate fasciculus relate to reduced memory in temporal lobe epilepsy Epilepsia 49 8 2008 1409 1418
11. J.S. Duncan Neuroimaging methods to evaluate the etiology and consequences of epilepsy Epilepsy Res. 50 1-2 2002 131 140 (Pubitemid 34876593)
12. J.S. Duncan Imaging the brain's highways-diffusion tensor imaging in epilepsy Epilepsy Curr. Am. Epilepsy Soc. 8 4 2008 85 89
13. Y. Fan, S.M. Resnick, X. Wu, and C. Davatzikos Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study NeuroImage 41 2 2008 277
14. N.K. Focke, M. Yogarajah, M.R. Symms, O. Gruber, W. Paulus, and J.S. Duncan Automated MR image classification in temporal lobe epilepsy NeuroImage 59 1 2012 356 362
15. M. Geelhoed, A.O. Boerrigter, P. Camfield, A.T. Geerts, W. Arts, and B. Smith et al. The accuracy of outcome prediction models for childhood-onset epilepsy Epilepsia 46 9 2005 1526 1532
16. A. Geerts, W.F. Arts, H. Stroink, E. Peeters, O. Brouwer, and B. Peters et al. Course and outcome of childhood epilepsy: a 15-year follow-up of the Dutch Study of Epilepsy in Childhood Epilepsia 51 7 2010 1189 1197
17. R.M. Govindan, M.I. Makki, S.K. Sundaram, C. Juhász, and H.T. Chugani Diffusion tensor analysis of temporal and extra-temporal lobe tracts in temporal lobe epilepsy Epilepsy Res. 80 1 2008 30 41
18. B. Hermann, J. Jones, R. Sheth, C. Dow, M. Koehn, and M. Seidenberg Children with new-onset epilepsy: neuropsychological status and brain structure Brain 129 10 2006 2609 2619 (Pubitemid 44522094)
19. E. Hutchinson, D. Pulsipher, K. Dabbs, A.M. Gutierrez, R. Sheth, and J. Jones et al. Children with new-onset epilepsy exhibit diffusion abnormalities in cerebral white matter in the absence of volumetric differences Epilepsy Res. 88 2-3 2010 208 214
20. T. Kimiwada, C. Juhász, M. Makki, O. Muzik, D.C. Chugani, and E. Asano et al. Hippocampal and thalamic diffusion abnormalities in children with temporal lobe epilepsy Epilepsia 47 1 2006 167 175
21. S. Klöppel, C.M. Stonnington, C. Chu, B. Draganski, R.I. Scahill, and J.D. Rohrer et al. Automatic classification of MR scans in Alzheimer's disease Brain 131 3 2008 681 689 (Pubitemid 351294712)
22. S. Knake, D.H. Salat, E. Halgren, M.A. Halko, D.N. Greve, and P.E. Grant Changes in white matter microstructure in patients with TLE and hippocampal sclerosis Epileptic Disord. 11 3 2009 244 250
23. C.G. Koay, L.-C. Chang, J.D. Carew, C. Pierpaoli, and P.J. Basser A unifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging J. Magn. Reson. 182 1 2006 115
24. S. Lemm, B. Blankertz, T. Dickhaus, and K.R. Müller Introduction to machine learning for brain imaging NeuroImage 56 2 2011 387 399
25. B.K. MacDonald, A.L. Johnson, D.M. Goodridge, O.C. Cockerell, J.W.A.S. Sander, and S.D. Shorvon Factors predicting prognosis of epilepsy after presentation with seizures Ann. Neurol. 48 6 2000 833 841
26. B. Magnin, L. Mesrob, S. Kinkingnéhun, M. Pélégrini- Issac, O. Colliot, and M. Sarazin et al. Support Vector Machine-based Classification of Alzheimer's Disease from Whole-brain Anatomical MRI vol. 51 2009 Springer Berlin/Heidelberg 73 83
27. L. Meng, J. Xiang, R. Kotecha, D. Rose, H. Zhao, and D. Zhao et al. White matter abnormalities in children and adolescents with temporal lobe epilepsy Magn. Reson. Imaging 28 9 2010 1290 1298
28. R. Mohanraj, and M.J. Brodie Outcomes in newly diagnosed localization-related epilepsies Seizure 14 5 2005 318 323 (Pubitemid 40916315)
29. W.S. Noble What is a support vector machine? Nat. Biotechnol. 24 12 2006 1565 1567 (Pubitemid 44967481)
30. A. Obenaus, and R.E. Jacobs Magnetic resonance imaging of functional anatomy: use for small animal epilepsy models Epilepsia 48 2007 11 17 (Pubitemid 47340744)
31. L. O'Dwyer, F. Lamberton, A.L. Bokde, M. Ewers, Y.O. Faluyi, and C. Tanner et al. Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment PLoS One 7 2 2012 e32441
32. G. Orrù, W. Pettersson-Yeo, A.F. Marquand, G. Sartori, and A. Mechelli Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review Neurosci. Biobehav. Rev. 36 4 2012 1140 1152
33. J. Platt Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines: Microsoft Research 1998
34. M. Robnik-Šikonja, and I. Kononenko Theoretical and empirical analysis of ReliefF and RReliefF Mach. Learn. 53 1 2003 23 69
35. S. Rodrigo, C. Oppenheim, F. Chassoux, N. Golestani, Y. Cointepas, and C. Poupon et al. Uncinate Fasciculus Fiber Tracking in Mesial Temporal Lobe Epilepsy Initial Findings vol. 17 2007 Springer Berlin/Heidelberg 1663 1668 (Pubitemid 46909654)
36. B. Scholkopf, K.K. Sung, C.J.C. Burges, F. Girosi, P. Niyogi, and T. Poggio et al. Comparing support vector machines with Gaussian kernels to radial basis function classifiers IEEE Trans. Signal Process. 45 11 1997 2758 2765 (Pubitemid 127766345)
37. A. Shoeb, H. Edwards, J. Connolly, B. Bourgeois, S.T. Treves, and J. Guttag Patient-specific seizure onset detection Epilepsy Behav. 5 4 2004 483
38. S.M. Smith, M. Jenkinson, H. Johansen-Berg, D. Rueckert, T.E. Nichols, and C.E. Mackay et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data NeuroImage 31 4 2006 1487 1505
39. A. Temko, E. Thomas, W. Marnane, G. Lightbody, and G.B. Boylan Performance assessment for EEG-based neonatal seizure detectors Clin. Neurophysiol. 122 3 2011 474
40. L. Thivard, S. Lehéricy, A. Krainik, C. Adam, D. Dormont, and J. Chiras et al. Diffusion tensor imaging in medial temporal lobe epilepsy with hippocampal sclerosis NeuroImage 28 3 2005 682 690 (Pubitemid 41540376)
41. H. Trevor, and T. Robert Classification by pairwise coupling Paper Presented at the Proceedings of the 1997 Conference on, Advances in Neural Information Processing Systems 10 1998
42. V. Vapnik, and A. Lerner Pattern recognition using generalized portrait method Autom. Rem. Contr. 24 1963 774 780
43. M.W. Woolrich, S. Jbabdi, B. Patenaude, M. Chappell, S. Makni, and T. Behrens et al. Bayesian analysis of neuroimaging data in FSL NeuroImage 45 1 Suppl. 2009 S173 S186
44. World Medical Organization Declaration of Helsinki Br. Med. J. 313 7070 1996 1448 1449