메뉴 건너뛰기




Volumn 9, Issue , 2015, Pages 532-544

Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders

Author keywords

Brain MRI; Fetal; Machine learning; Multivariate analysis; Neonatal; Pediatric

Indexed keywords

AGENESIS; ARTICLE; ASPERGER SYNDROME; ATTENTION DEFICIT DISORDER; AUTISM; BIPOLAR DISORDER; CEREBRAL PALSY; CORTICAL DYSPLASIA; DEVELOPMENTAL DISORDER; EPILEPSY; HUMAN; MENTAL DISEASE; MULTIPLE SCLEROSIS; MULTIVARIATE ANALYSIS; NERVE CELL DIFFERENTIATION; NUCLEAR MAGNETIC RESONANCE IMAGING; OBSESSIVE COMPULSIVE DISORDER; PRIORITY JOURNAL; SCHIZOPHRENIA; SYSTEMATIC REVIEW; BRAIN; EMBRYOLOGY; FETUS; GROWTH, DEVELOPMENT AND AGING; IMAGE PROCESSING; MACHINE LEARNING; PATHOLOGY;

EID: 84944740423     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2015.09.017     Document Type: Review
Times cited : (20)

References (139)
  • 1
    • 82155166462 scopus 로고    scopus 로고
    • Applications of epsilon radial networks in neuroimage analyses
    • N. Adluru, and et al. Applications of epsilon radial networks in neuroimage analyses Adv. Image and Video Technol. 7087 2012 236 247
    • (2012) Adv. Image and Video Technol. , vol.7087 , pp. 236-247
    • Adluru, N.1
  • 2
    • 35748959327 scopus 로고    scopus 로고
    • Anatomic brain magnetic resonance imaging of the basal ganglia in pediatric bipolar disorder
    • M.S. Ahn, and et al. Anatomic brain magnetic resonance imaging of the basal ganglia in pediatric bipolar disorder J. Affect. Disord. 104 1-3 2007 147 154
    • (2007) J. Affect. Disord. , vol.104 , Issue.1-3 , pp. 147-154
    • Ahn, M.S.1
  • 3
    • 34248332080 scopus 로고    scopus 로고
    • A fuzzy system for helping medical diagnosis of malformations of cortical development
    • S. Alayon, and et al. A fuzzy system for helping medical diagnosis of malformations of cortical development J. Biomed. Inform. 40 3 2007 221 235
    • (2007) J. Biomed. Inform. , vol.40 , Issue.3 , pp. 221-235
    • Alayon, S.1
  • 4
    • 77953172840 scopus 로고    scopus 로고
    • Prevalence and natural history of arachnoid cysts in children
    • W.N. Al-Holou, and et al. Prevalence and natural history of arachnoid cysts in children J. Neurosurg. Pediatr. 5 6 2010 578 585
    • (2010) J. Neurosurg. Pediatr. , vol.5 , Issue.6 , pp. 578-585
    • Al-Holou, W.N.1
  • 5
    • 0000581356 scopus 로고
    • An introduction to kernel and nearest-neighbor nonparametric regression
    • N.S. Altman An introduction to kernel and nearest-neighbor nonparametric regression Am. Stat. 46 3 1992 175 185
    • (1992) Am. Stat. , vol.46 , Issue.3 , pp. 175-185
    • Altman, N.S.1
  • 6
    • 84899828290 scopus 로고    scopus 로고
    • Individual classification of children with epilepsy using support vector machine with multiple indices of diffusion tensor imaging
    • I. Amarreh, and et al. Individual classification of children with epilepsy using support vector machine with multiple indices of diffusion tensor imaging NeuroImage: Clinical 4 2014 757 764
    • (2014) NeuroImage: Clinical , vol.4 , pp. 757-764
    • Amarreh, I.1
  • 9
    • 84908384066 scopus 로고    scopus 로고
    • Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD
    • A. Anderson, and et al. Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD NeuroImage 102 1 2014 207 219
    • (2014) NeuroImage , vol.102 , Issue.1 , pp. 207-219
    • Anderson, A.1
  • 10
    • 84938740835 scopus 로고    scopus 로고
    • Prenatal ultrasound predictors of postnatal major cerebral abnormalities in fetuses with apparently isolated mild ventriculomegaly
    • G.M. Baffero, and et al. Prenatal ultrasound predictors of postnatal major cerebral abnormalities in fetuses with apparently isolated mild ventriculomegaly Prenat. Diagn. 2015 10.1002/pd.4607
    • (2015) Prenat. Diagn.
    • Baffero, G.M.1
  • 12
    • 0036668837 scopus 로고    scopus 로고
    • Measures of folding applied to the development of the human fetal brain
    • P.G. Batchelor, and et al. Measures of folding applied to the development of the human fetal brain IEEE Trans. Med. Imaging 21 8 2002 953 965
    • (2002) IEEE Trans. Med. Imaging , vol.21 , Issue.8 , pp. 953-965
    • Batchelor, P.G.1
  • 13
    • 77449098568 scopus 로고    scopus 로고
    • Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populations
    • S. Bray, and et al. Applications of multivariate pattern classification analyses in developmental neuroimaging of healthy and clinical populations Front. Hum. Neurosci. 3 2009 32
    • (2009) Front. Hum. Neurosci. , vol.3 , pp. 32
    • Bray, S.1
  • 14
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman Random forests Mach. Learn. 45 2001 5 32
    • (2001) Mach. Learn. , vol.45 , pp. 5-32
    • Breiman, L.1
  • 15
    • 0037122930 scopus 로고    scopus 로고
    • Immature frontal lobe contributions to cognitive control in children: evidence from fMRI
    • S.A. Bunge, and et al. Immature frontal lobe contributions to cognitive control in children: evidence from fMRI Neuron 33 2 2002 301 311
    • (2002) Neuron , vol.33 , Issue.2 , pp. 301-311
    • Bunge, S.A.1
  • 16
    • 83055181241 scopus 로고    scopus 로고
    • Female children with autism spectrum disorder: an insight from mass-univariate and pattern classification analyses
    • S. Calderoni, and et al. Female children with autism spectrum disorder: an insight from mass-univariate and pattern classification analyses NeuroImage 59 2 2012 1013 1022
    • (2012) NeuroImage , vol.59 , Issue.2 , pp. 1013-1022
    • Calderoni, S.1
  • 17
    • 64049106338 scopus 로고    scopus 로고
    • MRI in the diagnosis of pediatric multiple sclerosis
    • D.J.A. Callen, and et al. MRI in the diagnosis of pediatric multiple sclerosis Neurology 72 11 2009 961 967
    • (2009) Neurology , vol.72 , Issue.11 , pp. 961-967
    • Callen, D.J.A.1
  • 19
    • 6844236395 scopus 로고    scopus 로고
    • A developmental functional MRI study of prefrontal activation during performance of a Go-No-Go task
    • B.J. Casey, and et al. A developmental functional MRI study of prefrontal activation during performance of a Go-No-Go task J. Cogn. Neurosci. 9 6 1997 835 847
    • (1997) J. Cogn. Neurosci. , vol.9 , Issue.6 , pp. 835-847
    • Casey, B.J.1
  • 21
    • 84865972570 scopus 로고    scopus 로고
    • ADHD classification by a texture analysis of anatomical brain MRI data
    • C.-W. Chang, and et al. ADHD classification by a texture analysis of anatomical brain MRI data Front. Syst. Neurosci. 6 2012 66
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 66
    • Chang, C.-W.1
  • 23
    • 84930643969 scopus 로고    scopus 로고
    • Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism
    • C.P. Chen, and et al. Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism NeuroImage: Clinical 8 2015 238 245
    • (2015) NeuroImage: Clinical , vol.8 , pp. 238-245
    • Chen, C.P.1
  • 24
    • 84936804387 scopus 로고    scopus 로고
    • Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity - a multi-center study
    • H. Chen, and et al. Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity - a multi-center study Prog. Neuro-Psychopharmacol. Biol. Psychiatry 64 2016 1 9
    • (2016) Prog. Neuro-Psychopharmacol. Biol. Psychiatry , vol.64 , pp. 1-9
    • Chen, H.1
  • 25
    • 84865007497 scopus 로고    scopus 로고
    • Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques
    • W. Cheng, and et al. Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques Front. Syst. Neurosci. 6 2012 58
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 58
    • Cheng, W.1
  • 26
    • 2342595377 scopus 로고    scopus 로고
    • Neural network based automatic diagnosis of children with brain dysfunction
    • S. Cho, and M.S. Shin Neural network based automatic diagnosis of children with brain dysfunction Int. J. Neural Syst. 11 4 2001 361 369
    • (2001) Int. J. Neural Syst. , vol.11 , Issue.4 , pp. 361-369
    • Cho, S.1    Shin, M.S.2
  • 27
    • 84865966989 scopus 로고    scopus 로고
    • Insights into multimodal imaging classification of ADHD
    • J.B. Colby, and et al. Insights into multimodal imaging classification of ADHD Front. Syst. Neurosci. 6 2012 59
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 59
    • Colby, J.B.1
  • 28
    • 84931576479 scopus 로고    scopus 로고
    • Use of machine learning to identify children with autism and their motor abnormalitiesJ
    • A. Crippa, and et al. Use of machine learning to identify children with autism and their motor abnormalitiesJ Autism Dev. Disord. 45 7 2015 2146 2156
    • (2015) Autism Dev. Disord. , vol.45 , Issue.7 , pp. 2146-2156
    • Crippa, A.1
  • 29
    • 84865999895 scopus 로고    scopus 로고
    • Classification of ADHD children through multimodal magnetic resonance imaging
    • D. Dai, and et al. Classification of ADHD children through multimodal magnetic resonance imaging Front. Syst. Neurosci. 6 2012 63
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 63
    • Dai, D.1
  • 30
    • 33750417942 scopus 로고    scopus 로고
    • Hippocampal volume in childhood complex partial seizures
    • M. Daley, and et al. Hippocampal volume in childhood complex partial seizures Epilepsy Res. 72 1 2006 57 66
    • (2006) Epilepsy Res. , vol.72 , Issue.1 , pp. 57-66
    • Daley, M.1
  • 31
    • 84904045296 scopus 로고    scopus 로고
    • Structure and dynamics of functional networks in child-onset schizophrenia
    • G.F. de Arruda, and et al. Structure and dynamics of functional networks in child-onset schizophrenia Clin. Neurophysiol. 125 8 2014 1589 1595
    • (2014) Clin. Neurophysiol. , vol.125 , Issue.8 , pp. 1589-1595
    • De Arruda, G.F.1
  • 32
    • 84866024322 scopus 로고    scopus 로고
    • Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping
    • S.C.L. Deoni, and et al. Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping NeuroImage 63 3 2012 1038 1053
    • (2012) NeuroImage , vol.63 , Issue.3 , pp. 1038-1053
    • Deoni, S.C.L.1
  • 33
    • 78650156311 scopus 로고    scopus 로고
    • Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity
    • G. Deshpande, and et al. Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity PLoS One 5 12 2010 e14277
    • (2010) PLoS One , vol.5 , Issue.12
    • Deshpande, G.1
  • 34
    • 84886410588 scopus 로고    scopus 로고
    • Identification of neural connectivity signatures of autism using machine learning
    • G. Deshpande, and et al. Identification of neural connectivity signatures of autism using machine learning Front. Hum. Neurosci. 7 2013 670
    • (2013) Front. Hum. Neurosci. , vol.7 , pp. 670
    • Deshpande, G.1
  • 36
    • 84889652962 scopus 로고    scopus 로고
    • Multivariate pattern analysis reveals subtle brain abnormalities relevant to the cognitive phenotype in neurofibromatosis type 1
    • J.V. Duarte, and et al. Multivariate pattern analysis reveals subtle brain abnormalities relevant to the cognitive phenotype in neurofibromatosis type 1 Hum. Brain Mapp. 35 1 2014 89 106
    • (2014) Hum. Brain Mapp. , vol.35 , Issue.1 , pp. 89-106
    • Duarte, J.V.1
  • 38
    • 70349964707 scopus 로고    scopus 로고
    • Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach
    • C. Ecker, and et al. Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach NeuroImage 49 1 2010 44 56
    • (2010) NeuroImage , vol.49 , Issue.1 , pp. 44-56
    • Ecker, C.1
  • 40
    • 84864968008 scopus 로고    scopus 로고
    • Automated diagnoses of attention deficit hyperactivity disorder using magnetic resonance imaging
    • A. Eloyan, and et al. Automated diagnoses of attention deficit hyperactivity disorder using magnetic resonance imaging Front. Syst. Neurosci. 6 2012 61
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 61
    • Eloyan, A.1
  • 41
    • 67049119331 scopus 로고    scopus 로고
    • Functional brain networks develop from a "local to distributed" organization
    • D.A. Fair, and et al. Functional brain networks develop from a "local to distributed" organization PLoS Comput. Biol. 5 5 2009 e1000381
    • (2009) PLoS Comput. Biol. , vol.5 , Issue.5
    • Fair, D.A.1
  • 42
    • 85069299344 scopus 로고    scopus 로고
    • Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data
    • D.A. Fair, and et al. Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data Front. Syst. Neurosci. 6 2012 80
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 80
    • Fair, D.A.1
  • 43
    • 84904385910 scopus 로고    scopus 로고
    • Altered white matter microstructure underlies listening difficulties in children suspected of auditory processing disorders: a DTI study
    • R. Farah, and et al. Altered white matter microstructure underlies listening difficulties in children suspected of auditory processing disorders: a DTI study Brain and Behav. 4 4 2014 531 543
    • (2014) Brain and Behav. , vol.4 , Issue.4 , pp. 531-543
    • Farah, R.1
  • 44
    • 84899493269 scopus 로고    scopus 로고
    • A practical definition of epilepsy
    • R.S. Fisher, and et al. A practical definition of epilepsy Epilepsia 55 4 2014 475 482
    • (2014) Epilepsia , vol.55 , Issue.4 , pp. 475-482
    • Fisher, R.S.1
  • 45
    • 22144469412 scopus 로고    scopus 로고
    • The human brain is intrinsically organized into dynamic, anticorrelated functional networks
    • M.D. Fox, and et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks Proc. Natl. Acad. Sci. 102 2005 9673 9678
    • (2005) Proc. Natl. Acad. Sci. , vol.102 , pp. 9673-9678
    • Fox, M.D.1
  • 46
    • 21344470887 scopus 로고    scopus 로고
    • Structural brain magnetic resonance imaging of limbic and thalamic volumes in pediatric bipolar disorder
    • J.A. Frazier, and et al. Structural brain magnetic resonance imaging of limbic and thalamic volumes in pediatric bipolar disorder Am. J. Psychiatry 162 7 2005 1256 1265
    • (2005) Am. J. Psychiatry , vol.162 , Issue.7 , pp. 1256-1265
    • Frazier, J.A.1
  • 47
    • 85019306100 scopus 로고    scopus 로고
    • Classifying brain states for cognitive tasks: a functional MRI study in children with reading impairments
    • C. Froehlich, and et al. Classifying brain states for cognitive tasks: a functional MRI study in children with reading impairments Proceedings of the XXIV Brazilian Congress on, Biomedical Engineering 2014 2476 2479
    • (2014) Proceedings of the XXIV Brazilian Congress on, Biomedical Engineering , pp. 2476-2479
    • Froehlich, C.1
  • 48
    • 0035032408 scopus 로고    scopus 로고
    • Clinical features of late-onset idiopathic aqueductal stenosis
    • T. Fukuhara, and M.G. Luciano Clinical features of late-onset idiopathic aqueductal stenosis Surg. Neurol. 55 3 2001 132 136
    • (2001) Surg. Neurol. , vol.55 , Issue.3 , pp. 132-136
    • Fukuhara, T.1    Luciano, M.G.2
  • 49
    • 79952102685 scopus 로고    scopus 로고
    • Decomposition of neurological multivariate time series by state space modelling
    • A. Galka, and et al. Decomposition of neurological multivariate time series by state space modelling Bull. Math. Biol. 73 2 2011 285 324
    • (2011) Bull. Math. Biol. , vol.73 , Issue.2 , pp. 285-324
    • Galka, A.1
  • 51
    • 2542597718 scopus 로고    scopus 로고
    • Dynamic mapping of human cortical development during childhood through early adulthood
    • N. Gogtay, and et al. Dynamic mapping of human cortical development during childhood through early adulthood Proc. Natl. Acad. Sci. 101 21 2004 8174 8179
    • (2004) Proc. Natl. Acad. Sci. , vol.101 , Issue.21 , pp. 8174-8179
    • Gogtay, N.1
  • 52
    • 84877278047 scopus 로고    scopus 로고
    • Using multivariate machine learning methods and structural MRI to classify childhood onset schizophrenia and healthy controls
    • D. Greenstein, and et al. Using multivariate machine learning methods and structural MRI to classify childhood onset schizophrenia and healthy controls Front. Psychiatry 3 2012 53
    • (2012) Front. Psychiatry , vol.3 , pp. 53
    • Greenstein, D.1
  • 53
    • 77949502841 scopus 로고    scopus 로고
    • Anatomic localization of dyskinesia in children with "profound" perinatal hypoxic ischemic injury
    • P.D. Griffiths, and et al. Anatomic localization of dyskinesia in children with "profound" perinatal hypoxic ischemic injury Am. J. Neuroradiol. 31 2010 436 441
    • (2010) Am. J. Neuroradiol. , vol.31 , pp. 436-441
    • Griffiths, P.D.1
  • 54
    • 33745208963 scopus 로고    scopus 로고
    • Factor analysis of neuroanatomical and clinical characteristics of holoprosencephaly
    • J.S. Hahn, and et al. Factor analysis of neuroanatomical and clinical characteristics of holoprosencephaly Brain Dev. 28 7 2006 413 419
    • (2006) Brain Dev. , vol.28 , Issue.7 , pp. 413-419
    • Hahn, J.S.1
  • 56
    • 84902213440 scopus 로고    scopus 로고
    • Pattern classification of response inhibition in ADHD: toward the development of neurobiological markers for ADHD
    • H. Hart, and et al. Pattern classification of response inhibition in ADHD: toward the development of neurobiological markers for ADHD Hum. Brain Mapp. 35 7 2014 3083 3094
    • (2014) Hum. Brain Mapp. , vol.35 , Issue.7 , pp. 3083-3094
    • Hart, H.1
  • 57
    • 84898801239 scopus 로고    scopus 로고
    • Predictive neurofunctional markers of attention-deficit/hyperactivity disorder based on pattern classification of temporal processing
    • e1
    • H. Hart, and et al. Predictive neurofunctional markers of attention-deficit/hyperactivity disorder based on pattern classification of temporal processing J. Am. Acad. Child Adolesc. Psychiatry 53 5 2014 569 578 (e1)
    • (2014) J. Am. Acad. Child Adolesc. Psychiatry , vol.53 , Issue.5 , pp. 569-578
    • Hart, H.1
  • 58
    • 0037343337 scopus 로고    scopus 로고
    • Inflammatory pseudotumors of the central nervous system: report of 3 cases and a literature review
    • M. Hausler, and et al. Inflammatory pseudotumors of the central nervous system: report of 3 cases and a literature review Hum. Pathol. 34 3 2003 253 262
    • (2003) Hum. Pathol. , vol.34 , Issue.3 , pp. 253-262
    • Hausler, M.1
  • 59
    • 50949100442 scopus 로고    scopus 로고
    • Morphometric spatial patterns differentiating boys with fragile X syndrome, typically developing boys, and developmentally delayed boys aged 1 to 3 years
    • F. Hoeft, and et al. Morphometric spatial patterns differentiating boys with fragile X syndrome, typically developing boys, and developmentally delayed boys aged 1 to 3 years J. Am. Med. Assoc. Psychiatry 65 9 2008 1087 1097
    • (2008) J. Am. Med. Assoc. Psychiatry , vol.65 , Issue.9 , pp. 1087-1097
    • Hoeft, F.1
  • 60
    • 78651092421 scopus 로고    scopus 로고
    • Neural systems predicting long-term outcome in dyslexia
    • F. Hoeft, and et al. Neural systems predicting long-term outcome in dyslexia Proc. Natl. Acad. Sci. 108 1 2011 361 366
    • (2011) Proc. Natl. Acad. Sci. , vol.108 , Issue.1 , pp. 361-366
    • Hoeft, F.1
  • 61
    • 84925777927 scopus 로고    scopus 로고
    • Regional volumes and spatial volumetric distribution of gray matter in the gender dysphoric brain
    • E. Hoekzema, and et al. Regional volumes and spatial volumetric distribution of gray matter in the gender dysphoric brain Psychoneuroendocrinology 55 2015 59 71
    • (2015) Psychoneuroendocrinology , vol.55 , pp. 59-71
    • Hoekzema, E.1
  • 62
    • 14844310301 scopus 로고    scopus 로고
    • Image-matching as a medical diagnostic support tool (DST) for brain diseases in children
    • H.K. Huang, and et al. Image-matching as a medical diagnostic support tool (DST) for brain diseases in children Comput. Med. Imaging Graph. 29 2-3 2005 195 202
    • (2005) Comput. Med. Imaging Graph. , vol.29 , Issue.2-3 , pp. 195-202
    • Huang, H.K.1
  • 63
    • 33748679123 scopus 로고    scopus 로고
    • White and gray matter development in human fetal, newborn and pediatric brains
    • H. Huang, and et al. White and gray matter development in human fetal, newborn and pediatric brains NeuroImage 33 1 2006 27 38
    • (2006) NeuroImage , vol.33 , Issue.1 , pp. 27-38
    • Huang, H.1
  • 65
    • 84943198701 scopus 로고    scopus 로고
    • Classifying adolescent attention-deficit/hyperactivity disorder (ADHD) based on functional and structural imaging
    • R. Iannaccone, and et al. Classifying adolescent attention-deficit/hyperactivity disorder (ADHD) based on functional and structural imaging 2015 European Child and Adolescent Psychiatry 10.1007/s00787-015-0678-4
    • (2015) European Child and Adolescent Psychiatry
    • Iannaccone, R.1
  • 66
    • 82655183773 scopus 로고    scopus 로고
    • A fully-automatic caudate nucleus segmentation of brain MRI: application in volumetric analysis of pediatric attention-deficit/hyperactivity disorder
    • L. Igual, and et al. A fully-automatic caudate nucleus segmentation of brain MRI: application in volumetric analysis of pediatric attention-deficit/hyperactivity disorder BioMedical Eng. OnLine 10 2011 105
    • (2011) BioMedical Eng. OnLine , vol.10 , pp. 105
    • Igual, L.1
  • 67
    • 84869082812 scopus 로고    scopus 로고
    • Automatic brain caudate nuclei segmentation and classification in diagnostic of Attention-Deficit/Hyperactivity Disorder
    • L. Igual, and et al. Automatic brain caudate nuclei segmentation and classification in diagnostic of Attention-Deficit/Hyperactivity Disorder Comput. Med. Imaging Graph. 36 8 2012 591 600
    • (2012) Comput. Med. Imaging Graph. , vol.36 , Issue.8 , pp. 591-600
    • Igual, L.1
  • 68
    • 84864151039 scopus 로고    scopus 로고
    • Automatic internal segmentation of caudate nucleus for diagnosis of attention-deficit/hyperactivity disorder
    • L. Igual, and et al. Automatic internal segmentation of caudate nucleus for diagnosis of attention-deficit/hyperactivity disorder Image Analysis and Recognition Lecture Notes on Computer Science 7325 2012 222 229
    • (2012) Image Analysis and Recognition Lecture Notes on Computer Science , vol.7325 , pp. 222-229
    • Igual, L.1
  • 69
    • 84866978641 scopus 로고    scopus 로고
    • Supervised brain segmentation and classification in diagnostic of Attention-Deficit/Hyperactivity Disorder
    • L. Igual, and et al. Supervised brain segmentation and classification in diagnostic of Attention-Deficit/Hyperactivity Disorder International Conference on High Performance Computing and, Simulation 2012 182 187
    • (2012) International Conference on High Performance Computing and, Simulation , pp. 182-187
    • Igual, L.1
  • 70
    • 79959758552 scopus 로고    scopus 로고
    • Diffusion based abnormality markers of pathology: toward learned diagnostic prediction of ASD
    • M. Ingalhalikar, and et al. Diffusion based abnormality markers of pathology: toward learned diagnostic prediction of ASD NeuroImage 57 3 2011 918 927
    • (2011) NeuroImage , vol.57 , Issue.3 , pp. 918-927
    • Ingalhalikar, M.1
  • 71
    • 84924189300 scopus 로고    scopus 로고
    • Disrupted developmental organization of the structural connectome in fetuses with corpus callosum agenesis
    • A. Jakab, and et al. Disrupted developmental organization of the structural connectome in fetuses with corpus callosum agenesis NeuroImage 111 1 2015 277 288
    • (2015) NeuroImage , vol.111 , Issue.1 , pp. 277-288
    • Jakab, A.1
  • 72
    • 77952298475 scopus 로고    scopus 로고
    • Predictive models of autism spectrum disorder based on brain regional cortical thickness
    • Y. Jiao, and et al. Predictive models of autism spectrum disorder based on brain regional cortical thickness NeuroImage 50 2 2010 589 599
    • (2010) NeuroImage , vol.50 , Issue.2 , pp. 589-599
    • Jiao, Y.1
  • 73
    • 84855455649 scopus 로고    scopus 로고
    • Predictive models for subtypes of autism spectrum disorder based on single-nucleotide polymorphisms and magnetic resonance imaging
    • Y. Jiao, and et al. Predictive models for subtypes of autism spectrum disorder based on single-nucleotide polymorphisms and magnetic resonance imaging Adv. Med. Sci. 56 2 2011 334 342
    • (2011) Adv. Med. Sci. , vol.56 , Issue.2 , pp. 334-342
    • Jiao, Y.1
  • 74
    • 34547903165 scopus 로고    scopus 로고
    • White matter volume as a major predictor of cognitive function in Sturge-Weber syndrome
    • C. Juhasz, and et al. White matter volume as a major predictor of cognitive function in Sturge-Weber syndrome Arch. Neurol. 64 8 2007 1169 1174
    • (2007) Arch. Neurol. , vol.64 , Issue.8 , pp. 1169-1174
    • Juhasz, C.1
  • 75
    • 33846344210 scopus 로고    scopus 로고
    • Association between amygdala volume and anxiety level: magnetic resonance imaging (MRI) study in autistic children
    • J. Juranek, and et al. Association between amygdala volume and anxiety level: magnetic resonance imaging (MRI) study in autistic children J. Child Neurol. 21 12 2006 1051 1058
    • (2006) J. Child Neurol. , vol.21 , Issue.12 , pp. 1051-1058
    • Juranek, J.1
  • 76
    • 78651448990 scopus 로고    scopus 로고
    • A study on image features using intensity profile for cortical dysplasia degree estimation
    • N. Kawakami, and et al. A study on image features using intensity profile for cortical dysplasia degree estimation World Automation Congress 2010 1 6
    • (2010) World Automation Congress , pp. 1-6
    • Kawakami, N.1
  • 77
    • 0033566418 scopus 로고    scopus 로고
    • Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
    • M. Kearns, and D. Ron Algorithmic stability and sanity-check bounds for leave-one-out cross-validation Neural Comput. 11 6 1999 1427 1453
    • (1999) Neural Comput. , vol.11 , Issue.6 , pp. 1427-1453
    • Kearns, M.1    Ron, D.2
  • 80
    • 84887238486 scopus 로고    scopus 로고
    • Predictors of seizure-free outcome after epilepsy surgery for pediatric tuberous sclerosis complex
    • P. Krsek, and et al. Predictors of seizure-free outcome after epilepsy surgery for pediatric tuberous sclerosis complex Epilepsia 54 11 2013 1913 1921
    • (2013) Epilepsia , vol.54 , Issue.11 , pp. 1913-1921
    • Krsek, P.1
  • 81
    • 79952923036 scopus 로고    scopus 로고
    • Atypical diffusion tensor hemispheric asymmetry in autism
    • H. Lange, and et al. Atypical diffusion tensor hemispheric asymmetry in autism Autism Res. 3 6 2010 350 358
    • (2010) Autism Res. , vol.3 , Issue.6 , pp. 350-358
    • Lange, H.1
  • 82
    • 43049153023 scopus 로고    scopus 로고
    • Classification of dynamic contrast-enhanced magnetic resonance breast lesions by support vector machines
    • J. Levman, and et al. Classification of dynamic contrast-enhanced magnetic resonance breast lesions by support vector machines IEEE Trans. Med. Imaging 27 5 2008 688 696
    • (2008) IEEE Trans. Med. Imaging , vol.27 , Issue.5 , pp. 688-696
    • Levman, J.1
  • 83
    • 84899111497 scopus 로고    scopus 로고
    • Multivariate pattern analysis of DTI reveals differential white matter in individuals with obsessive-compulsive disorder
    • F. Li, and et al. Multivariate pattern analysis of DTI reveals differential white matter in individuals with obsessive-compulsive disorder Hum. Brain Mapp. 35 6 2014 2643 2651
    • (2014) Hum. Brain Mapp. , vol.35 , Issue.6 , pp. 2643-2651
    • Li, F.1
  • 84
    • 84874050072 scopus 로고    scopus 로고
    • Differentiation between resting-state fMRI data from ADHD and normal subjects: based on functional connectivity and machine learning
    • S.-F. Liang, and et al. Differentiation between resting-state fMRI data from ADHD and normal subjects: based on functional connectivity and machine learning International Conference on Fuzzy Theory and it's Applications 2012 294 298
    • (2012) International Conference on Fuzzy Theory and it's Applications , pp. 294-298
    • Liang, S.-F.1
  • 85
    • 84877826499 scopus 로고    scopus 로고
    • Disorder-specific predictive classification of adolescents with attention deficit hyperactivity disorder (ADHD) relative to autism using structural magnetic resonance imaging
    • L. Lim, and et al. Disorder-specific predictive classification of adolescents with attention deficit hyperactivity disorder (ADHD) relative to autism using structural magnetic resonance imaging PLoS One 8 5 2013 e63660
    • (2013) PLoS One , vol.8 , Issue.5
    • Lim, L.1
  • 86
    • 84929287572 scopus 로고    scopus 로고
    • Different functional neural substrates for good and poor language outcome in autism
    • M.V. Lombardo, and et al. Different functional neural substrates for good and poor language outcome in autism Neuron 86 2 2015 567 577
    • (2015) Neuron , vol.86 , Issue.2 , pp. 567-577
    • Lombardo, M.V.1
  • 87
    • 79961214943 scopus 로고    scopus 로고
    • Detection of focal cortical dysplasia lesions in MRI using textural features
    • C. Loyek, and et al. Detection of focal cortical dysplasia lesions in MRI using textural features Bildverarbeitung für die Medizin, Informatik aktuell 432 2008
    • (2008) Bildverarbeitung für die Medizin, Informatik aktuell , vol.432
    • Loyek, C.1
  • 89
    • 84964696132 scopus 로고    scopus 로고
    • Volumetric brain analysis in neurosurgery: part 2. Brain and CSF volumes discriminate neurocognitive outcomes in hydrocephalus
    • J.G. Mandell, and et al. Volumetric brain analysis in neurosurgery: part 2. Brain and CSF volumes discriminate neurocognitive outcomes in hydrocephalus J. Neurosurg. Pediatr. 15 2 2015 125 132
    • (2015) J. Neurosurg. Pediatr. , vol.15 , Issue.2 , pp. 125-132
    • Mandell, J.G.1
  • 90
    • 84944802915 scopus 로고    scopus 로고
    • Wiley StatsRef: Statistics Reference Online
    • K.G. Manton, and et al. Cluster Analysis: Overview 2014 Wiley StatsRef: Statistics Reference Online
    • (2014) Cluster Analysis: Overview
    • Manton, K.G.1
  • 91
    • 79551581624 scopus 로고    scopus 로고
    • Neuroanatomical spatial patterns in Turner syndrome
    • M.J. Marzelli, and et al. Neuroanatomical spatial patterns in Turner syndrome NeuroImage 55 2 2011 439 447
    • (2011) NeuroImage , vol.55 , Issue.2 , pp. 439-447
    • Marzelli, M.J.1
  • 92
    • 0029941179 scopus 로고    scopus 로고
    • Spatial pattern analysis of functional brain images using partial least squares
    • A.R. McIntosh, and et al. Spatial pattern analysis of functional brain images using partial least squares NeuroImage 3 1996 143 157
    • (1996) NeuroImage , vol.3 , pp. 143-157
    • McIntosh, A.R.1
  • 93
    • 70349224509 scopus 로고    scopus 로고
    • Discriminant Analysis and Statistical Pattern Recognition
    • G.J. McLachlan Discriminant Analysis and Statistical Pattern Recognition 2004 Wiley Interscience
    • (2004) Wiley Interscience
    • McLachlan, G.J.1
  • 94
    • 0019470916 scopus 로고
    • A cortical network for directed attention and unilateral neglect
    • M.M. Mesulam A cortical network for directed attention and unilateral neglect Ann. Neurol. 10 1981 309 325
    • (1981) Ann. Neurol. , vol.10 , pp. 309-325
    • Mesulam, M.M.1
  • 95
    • 84885389550 scopus 로고    scopus 로고
    • Long-term functional outcomes and their predictors after hemispherectomy in 115 children
    • A.N. Moosa, and et al. Long-term functional outcomes and their predictors after hemispherectomy in 115 children Epilepsia 54 10 2013 1771 1779
    • (2013) Epilepsia , vol.54 , Issue.10 , pp. 1771-1779
    • Moosa, A.N.1
  • 96
    • 0033768384 scopus 로고    scopus 로고
    • Statistical parametric mapping: assessment of application in children
    • O. Muzik, and et al. Statistical parametric mapping: assessment of application in children NeuroImage 12 5 2000 538 549
    • (2000) NeuroImage , vol.12 , Issue.5 , pp. 538-549
    • Muzik, O.1
  • 97
    • 84925946988 scopus 로고    scopus 로고
    • Prediction of pediatric bipolar disorder using neuroanatomical signatures of the amygdala
    • B. Mwangi, and et al. Prediction of pediatric bipolar disorder using neuroanatomical signatures of the amygdala Bipolar Disord. 16 7 2014 713 721
    • (2014) Bipolar Disord. , vol.16 , Issue.7 , pp. 713-721
    • Mwangi, B.1
  • 99
    • 84884686280 scopus 로고    scopus 로고
    • Multisite functional connectivity MRI classification of autism: ABIDE results
    • J.A. Nielsen, and et al. Multisite functional connectivity MRI classification of autism: ABIDE results Front. Hum. Neurosci. 7 2013 599
    • (2013) Front. Hum. Neurosci. , vol.7 , pp. 599
    • Nielsen, J.A.1
  • 100
    • 84907849100 scopus 로고    scopus 로고
    • Independent contribution of individual white matter pathways to language function in pediatric epilepsy patients
    • M.J. Paldino, and et al. Independent contribution of individual white matter pathways to language function in pediatric epilepsy patients NeuroImage: Clinical 6 2014 327 332
    • (2014) NeuroImage: Clinical , vol.6 , pp. 327-332
    • Paldino, M.J.1
  • 101
    • 84877358538 scopus 로고    scopus 로고
    • Perinatal factors and regional brain volume abnormalities at term in a cohort of extremely low birth weight infants
    • N.A. Parikh, and et al. Perinatal factors and regional brain volume abnormalities at term in a cohort of extremely low birth weight infants PLoS One 8 5 2013 e62804
    • (2013) PLoS One , vol.8 , Issue.5
    • Parikh, N.A.1
  • 102
    • 0035065006 scopus 로고    scopus 로고
    • Maturation of white matter in the human brain: a review of magnetic resonance studies
    • T. Paus, and et al. Maturation of white matter in the human brain: a review of magnetic resonance studies Brain Res. Bull. 54 3 2001 255 266
    • (2001) Brain Res. Bull. , vol.54 , Issue.3 , pp. 255-266
    • Paus, T.1
  • 103
    • 84886729645 scopus 로고    scopus 로고
    • A long-term follow-up study using IPMSSG criteria in children with CNS demyelination
    • S.S. Peche, and et al. A long-term follow-up study using IPMSSG criteria in children with CNS demyelination Pediatr. Neurol. 49 5 2013 329 334
    • (2013) Pediatr. Neurol. , vol.49 , Issue.5 , pp. 329-334
    • Peche, S.S.1
  • 104
    • 84894284759 scopus 로고    scopus 로고
    • Extreme learning machine-based classification of ADHD using brain structural MRI data
    • X. Peng, and et al. Extreme learning machine-based classification of ADHD using brain structural MRI data PLoS One 8 11 2013 e79476
    • (2013) PLoS One , vol.8 , Issue.11
    • Peng, X.1
  • 105
    • 84906979453 scopus 로고    scopus 로고
    • Detection of corpus callosum malformations in pediatric population using the discriminative direction in multiple kernel learning
    • D. Peruzzo, and et al. Detection of corpus callosum malformations in pediatric population using the discriminative direction in multiple kernel learning Proceedings of Medical Image Computing and Computer Assisted Intervention 8674 2014 300 307
    • (2014) Proceedings of Medical Image Computing and Computer Assisted Intervention , vol.8674 , pp. 300-307
    • Peruzzo, D.1
  • 106
    • 84930903940 scopus 로고    scopus 로고
    • Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model
    • L. Pina-Camacho, and et al. Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model Eur. Child Adolesc. Psychiatry 24 4 2015 427 440
    • (2015) Eur. Child Adolesc. Psychiatry , vol.24 , Issue.4 , pp. 427-440
    • Pina-Camacho, L.1
  • 107
    • 84921627174 scopus 로고    scopus 로고
    • Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards
    • M. Plitt, and et al. Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards NeuroImage: Clinical 7 2015 359 366
    • (2015) NeuroImage: Clinical , vol.7 , pp. 359-366
    • Plitt, M.1
  • 108
    • 33646181584 scopus 로고    scopus 로고
    • Myelination of language-related areas in the developing brain
    • J. Pujol, and et al. Myelination of language-related areas in the developing brain Neurology 66 3 2006 339 343
    • (2006) Neurology , vol.66 , Issue.3 , pp. 339-343
    • Pujol, J.1
  • 109
    • 0032975062 scopus 로고    scopus 로고
    • Progressive cortical change during adolescence in childhood-onset schizophrenia. A longitudinal magnetic resonance imaging study
    • J.L. Rapoport, and et al. Progressive cortical change during adolescence in childhood-onset schizophrenia. A longitudinal magnetic resonance imaging study Arch. Gen. Psychiatry 56 7 1999 649 654
    • (1999) Arch. Gen. Psychiatry , vol.56 , Issue.7 , pp. 649-654
    • Rapoport, J.L.1
  • 110
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: recommendations for practitioners
    • S.J. Raudys, and A.K. Jain Small sample size effects in statistical pattern recognition: recommendations for practitioners IEEE Trans. Pattern Anal. Mach. Intell. 13 3 1991 252 264
    • (1991) IEEE Trans. Pattern Anal. Mach. Intell. , vol.13 , Issue.3 , pp. 252-264
    • Raudys, S.J.1    Jain, A.K.2
  • 111
    • 0029905766 scopus 로고    scopus 로고
    • Brain development, gender and IQ in children. A volumetric imaging study
    • A.L. Reiss, and et al. Brain development, gender and IQ in children. A volumetric imaging study Brain 119 Pt. 5 1996 1763 1774
    • (1996) Brain , vol.119 , pp. 1763-1774
    • Reiss, A.L.1
  • 113
    • 84880826876 scopus 로고    scopus 로고
    • Automatic quantitative MRI texture analysis in small-for-gestational-age fetuses discriminates abnormal neonatal neurobehavior
    • M. Sanz-Cortes, and et al. Automatic quantitative MRI texture analysis in small-for-gestational-age fetuses discriminates abnormal neonatal neurobehavior PLoS One 8 7 2013 e69595
    • (2013) PLoS One , vol.8 , Issue.7
    • Sanz-Cortes, M.1
  • 114
    • 84865979899 scopus 로고    scopus 로고
    • Evaluation of pattern recognition and feature extraction methods in ADHD prediction
    • J.R. Sato, and et al. Evaluation of pattern recognition and feature extraction methods in ADHD prediction Front. Syst. Neurosci. 6 2012 68
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 68
    • Sato, J.R.1
  • 115
    • 84880946638 scopus 로고    scopus 로고
    • Left ear advantage in speed-related dichotic listening is not specific to auditory processing disorder in children: a machine-learning fMRI and DTI study
    • V.J. Schmithorst, and et al. Left ear advantage in speed-related dichotic listening is not specific to auditory processing disorder in children: a machine-learning fMRI and DTI study NeuroImage: Clinical 3 2013 8 17
    • (2013) NeuroImage: Clinical , vol.3 , pp. 8-17
    • Schmithorst, V.J.1
  • 116
    • 84896979657 scopus 로고    scopus 로고
    • A multivariate distance-based analytic framework for connectome-wide association studies
    • Z. Shehzad, and et al. A multivariate distance-based analytic framework for connectome-wide association studies NeuroImage 93 1 2014 74 94
    • (2014) NeuroImage , vol.93 , Issue.1 , pp. 74-94
    • Shehzad, Z.1
  • 117
    • 84879764211 scopus 로고    scopus 로고
    • A multivariate surface-based analysis of the putamen in premature newborns: regional differences within the ventral striatum
    • J. Shi, and et al. A multivariate surface-based analysis of the putamen in premature newborns: regional differences within the ventral striatum PLoS One 8 7 2013 e66736
    • (2013) PLoS One , vol.8 , Issue.7
    • Shi, J.1
  • 118
    • 34547851785 scopus 로고    scopus 로고
    • Spatial filters and automated spike detection based on brain topographies improve sensitivity of EEG-fMRI studies in focal epilepsy
    • M. Siniatchkin, and et al. Spatial filters and automated spike detection based on brain topographies improve sensitivity of EEG-fMRI studies in focal epilepsy NeuroImage 37 3 2007 834 843
    • (2007) NeuroImage , vol.37 , Issue.3 , pp. 834-843
    • Siniatchkin, M.1
  • 119
    • 84944754281 scopus 로고
    • A multivariate analysis of covariance
    • H.F. Smith A multivariate analysis of covariance Biometrics 14 1958 107 127
    • (1958) Biometrics , vol.14 , pp. 107-127
    • Smith, H.F.1
  • 120
    • 84911968214 scopus 로고    scopus 로고
    • A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm
    • K. Subramanian, and et al. A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm Evol. Syst. 5 4 2014 219 230
    • (2014) Evol. Syst. , vol.5 , Issue.4 , pp. 219-230
    • Subramanian, K.1
  • 121
    • 68049128346 scopus 로고    scopus 로고
    • Development of large-scale functional brain networks in children
    • K. Supekar, and et al. Development of large-scale functional brain networks in children PLoS Biol. 7 7 2009 e1000157
    • (2009) PLoS Biol. , vol.7 , Issue.7
    • Supekar, K.1
  • 122
    • 2942560512 scopus 로고    scopus 로고
    • Brain structural abnormalities in psychotropic drug-naïve pediatric patients with obsessive-compulsive disorder
    • P.R. Szeszko, and et al. Brain structural abnormalities in psychotropic drug-naïve pediatric patients with obsessive-compulsive disorder Am. J. Psychiatry 161 6 2004 1049 1056
    • (2004) Am. J. Psychiatry , vol.161 , Issue.6 , pp. 1049-1056
    • Szeszko, P.R.1
  • 124
    • 84880814869 scopus 로고    scopus 로고
    • Aberrant default mode functional connectivity in early onset schizophrenia
    • J. Tang, and et al. Aberrant default mode functional connectivity in early onset schizophrenia PLoS One 8 7 2013 e71061
    • (2013) PLoS One , vol.8 , Issue.7
    • Tang, J.1
  • 125
    • 0035865570 scopus 로고    scopus 로고
    • Amygdala response to facial expressions in children and adults
    • K.M. Thomas, and et al. Amygdala response to facial expressions in children and adults Biol. Psychiatry 49 4 2001 309 316
    • (2001) Biol. Psychiatry , vol.49 , Issue.4 , pp. 309-316
    • Thomas, K.M.1
  • 126
    • 80053952154 scopus 로고    scopus 로고
    • Multivariate searchlight classification of structural magnetic resonance imaging in children and adolescents with autism
    • L.Q. Uddin, and et al. Multivariate searchlight classification of structural magnetic resonance imaging in children and adolescents with autism Biol. Psychiatry 70 9 2011 833 841
    • (2011) Biol. Psychiatry , vol.70 , Issue.9 , pp. 833-841
    • Uddin, L.Q.1
  • 127
    • 0028921592 scopus 로고
    • Dynamics of neuronal interactions in monkey cortex in relation to behavioural events
    • E. Vaadia, and et al. Dynamics of neuronal interactions in monkey cortex in relation to behavioural events Nature 373 1995 515 518
    • (1995) Nature , vol.373 , pp. 515-518
    • Vaadia, E.1
  • 129
    • 80053424864 scopus 로고    scopus 로고
    • Discriminative analysis of resting-state brain functional connectivity patterns of Attention-Deficit Hyperactivity Disorder using Kernel Principal Components Analysis
    • X. Wang, and et al. Discriminative analysis of resting-state brain functional connectivity patterns of Attention-Deficit Hyperactivity Disorder using Kernel Principal Components Analysis Eighth International Conference on Fuzzy Systems and Knowledge Discovery 2011 1938 1941
    • (2011) Eighth International Conference on Fuzzy Systems and Knowledge Discovery , pp. 1938-1941
    • Wang, X.1
  • 130
    • 84896403107 scopus 로고    scopus 로고
    • Classification of fMRI patterns - a study of the language network segregation in pediatric localization related epilepsy
    • J. Wang, and et al. Classification of fMRI patterns - a study of the language network segregation in pediatric localization related epilepsy Hum. Brain Mapp. 35 4 2014 1446 1460
    • (2014) Hum. Brain Mapp. , vol.35 , Issue.4 , pp. 1446-1460
    • Wang, J.1
  • 131
    • 84928782781 scopus 로고    scopus 로고
    • A primer on multivariate analysis of variance (MANOVA) for behavioral scientists
    • R.T. Warne A primer on multivariate analysis of variance (MANOVA) for behavioral scientists Pract. Assessment, Res. Eval. 19 17 2014 1 10
    • (2014) Pract. Assessment, Res. Eval. , vol.19 , Issue.17 , pp. 1-10
    • Warne, R.T.1
  • 132
    • 84902142587 scopus 로고    scopus 로고
    • Diagnosis of autism spectrum disorders using regional and interregional morphological features
    • C.-Y. Wee, and et al. Diagnosis of autism spectrum disorders using regional and interregional morphological features Hum. Brain Mapp. 35 7 2014 3414 3430
    • (2014) Hum. Brain Mapp. , vol.35 , Issue.7 , pp. 3414-3430
    • Wee, C.-Y.1
  • 133
    • 84924284045 scopus 로고    scopus 로고
    • Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: a pattern classification approach
    • M.-J. Wu, and et al. Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: a pattern classification approach J. Psychiatr. Res. 62 2015 84 91
    • (2015) J. Psychiatr. Res. , vol.62 , pp. 84-91
    • Wu, M.-J.1
  • 135
    • 84864913024 scopus 로고    scopus 로고
    • Application of nonlinear classifiers with the principal component analysis in fMRI language activation pattern recognition in a multisite study for pediatric epilepsy
    • X. You, and et al. Application of nonlinear classifiers with the principal component analysis in fMRI language activation pattern recognition in a multisite study for pediatric epilepsy Proceedings of the International Conference on Image Processing, Computer Vision, & Pattern Recognition 2009
    • (2009) Proceedings of the International Conference on Image Processing, Computer Vision, & Pattern Recognition
    • You, X.1
  • 136
    • 84897784657 scopus 로고    scopus 로고
    • A primer on receiver operating characteristic curve analysis and diagnostic efficiency statistics for pediatric psychology: we are ready to ROC
    • E.A. Youngstrom A primer on receiver operating characteristic curve analysis and diagnostic efficiency statistics for pediatric psychology: we are ready to ROC J. Pediatr. Psychol. 39 2 2014 204 221
    • (2014) J. Pediatr. Psychol. , vol.39 , Issue.2 , pp. 204-221
    • Youngstrom, E.A.1
  • 137
    • 84903388522 scopus 로고    scopus 로고
    • Multiparametric MRI characterization and prediction in autism spectrum disorder using graph theory and machine learning
    • Y. Zhou, and et al. Multiparametric MRI characterization and prediction in autism spectrum disorder using graph theory and machine learning PLoS One 9 6 2014 e90405
    • (2014) PLoS One , vol.9 , Issue.6
    • Zhou, Y.1
  • 139
    • 38949129350 scopus 로고    scopus 로고
    • Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder
    • C.-Z. Zhu, and et al. Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder NeuroImage 40 1 2008 110 120
    • (2008) NeuroImage , vol.40 , Issue.1 , pp. 110-120
    • Zhu, C.-Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.