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Volumn 11, Issue 12, 2016, Pages

Using functional or structural magnetic resonance images and personal characteristic data to identify ADHD and autism

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ATTENTION DEFICIT DISORDER; AUTISM; CHILD; CLASSIFIER; CONTROLLED STUDY; DEMOGRAPHY; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; SIGNAL PROCESSING; STRUCTURAL MAGNETIC RESONANCE IMAGING; ALGORITHM; CASE CONTROL STUDY; DIAGNOSTIC IMAGING; FUNCTIONAL NEUROIMAGING; MACHINE LEARNING; MEDICAL INFORMATICS; PATHOLOGY; PATHOPHYSIOLOGY; PROCEDURES;

EID: 85007278805     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0166934     Document Type: Article
Times cited : (96)

References (43)
  • 3
    • 0027914489 scopus 로고
    • Magnetic resonance imaging
    • PMID: 8433731
    • Edelman RR, Warach S. Magnetic resonance imaging. New England Journal of Medicine. 1993; 328 (10):708-716. doi: 10.1056/NEJM199303113281008 PMID: 8433731
    • (1993) New England Journal of Medicine , vol.328 , Issue.10 , pp. 708-716
    • Edelman, R.R.1    Warach, S.2
  • 5
    • 84902349357 scopus 로고    scopus 로고
    • ADHD-200 Consortium. The ADHD-200 Sample; 2011. http://fcon-1000.projects.nitrc.org/indi/adhd200/
    • (2011) The ADHD-200 Sample
  • 6
    • 84867115456 scopus 로고    scopus 로고
    • ADHD-200 Consortium. ADHD-200 Global Competition Results; 2011. http://fcon-1000.projects.nitrc.org/indi/adhd200/results.html
    • (2011) ADHD-200 Global Competition Results
  • 8
    • 84867122690 scopus 로고    scopus 로고
    • ADHD-200 global competition: Diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements
    • PMID: 23060754
    • Brown MR, Sidhu GS, Greiner R, Asgarian N, Bastani M, et al. ADHD-200 Global Competition: Diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements. Frontiers in systems neuroscience. 2012; 6. doi: 10.3389/fnsys.2012.00069 PMID: 23060754
    • (2012) Frontiers in Systems Neuroscience , vol.6
    • Brown, M.R.1    Sidhu, G.S.2    Greiner, R.3    Asgarian, N.4    Bastani, M.5
  • 9
    • 84867707087 scopus 로고    scopus 로고
    • Kernel principal component analysis for dimensionality reduction in fMRI-based diagnosis of ADHD
    • PMID: 23162439
    • Sidhu GS, Asgarian N, Greiner R, Brown MR. Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD. Frontiers in systems neuroscience. 2012; 6. doi: 10.3389/fnsys.2012.00074 PMID: 23162439
    • (2012) Frontiers in Systems Neuroscience , vol.6
    • Sidhu, G.S.1    Asgarian, N.2    Greiner, R.3    Brown, M.R.4
  • 11
    • 84901254866 scopus 로고    scopus 로고
    • The autism brain imaging data exchange: Towards a large-scale evaluation of the intrinsic brain architecture in autism
    • Di Martino A, Yan C, Li Q, Denio E, Castellanos F, et al. The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular psychiatry. 2013;.
    • (2013) Molecular Psychiatry
    • Di Martino, A.1    Yan, C.2    Li, Q.3    Denio, E.4    Castellanos, F.5
  • 13
    • 77956873627 scopus 로고    scopus 로고
    • Tackling the widespread and critical impact of batch effects in high-throughput data
    • PMID: 20838408
    • Leek JT, Scharpf RB, Bravo HC, Simcha D, Langmead B, et al. Tackling the widespread and critical impact of batch effects in high-throughput data. Nature Reviews Genetics. 2010; 11(10):733-739. doi: 10.1038/nrg2825 PMID: 20838408
    • (2010) Nature Reviews Genetics , vol.11 , Issue.10 , pp. 733-739
    • Leek, J.T.1    Scharpf, R.B.2    Bravo, H.C.3    Simcha, D.4    Langmead, B.5
  • 14
    • 33845432928 scopus 로고    scopus 로고
    • Adjusting batch effects in microarray expression data using empirical bayes methods
    • PMID: 16632515
    • Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics. 2007; 8(1):118-127. doi: 10.1093/biostatistics/kxj037 PMID: 16632515
    • (2007) Biostatistics , vol.8 , Issue.1 , pp. 118-127
    • Johnson, W.E.1    Li, C.2    Rabinovic, A.3
  • 16
    • 77949659744 scopus 로고    scopus 로고
    • A review of challenges in the use of fMRI for disease classification/characterization and A projection pursuit application from multi-site fMRI schizophrenia study
    • PMID: 19562043
    • Demirci O, Clark VP, Magnotta VA, Andreasen NC, Lauriello J, et al. A Review of Challenges in the Use of fMRI for Disease Classification/Characterization and A Projection Pursuit Application from Multi-site fMRI Schizophrenia Study. Brain Imaging Behav. 2008; 2(3):147-226. doi: 10.1007/s11682-008-9028-1 PMID: 19562043
    • (2008) Brain Imaging Behav. , vol.2 , Issue.3 , pp. 147-226
    • Demirci, O.1    Clark, V.P.2    Magnotta, V.A.3    Andreasen, N.C.4    Lauriello, J.5
  • 17
    • 79954987179 scopus 로고    scopus 로고
    • Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression
    • PMID: 20483379
    • Nouretdinov I, Costafreda SG, Gammerman A, Chervonenkis A, Vovk V, et al. Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. Neuroimage. 2011; 56:809-813. doi: 10.1016/j.neuroimage.2010.05.023 PMID: 20483379
    • (2011) Neuroimage , vol.56 , pp. 809-813
    • Nouretdinov, I.1    Costafreda, S.G.2    Gammerman, A.3    Chervonenkis, A.4    Vovk, V.5
  • 18
    • 84857000430 scopus 로고    scopus 로고
    • Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
    • PMID: 22305994
    • Orru G, Pettersson-Yeo W, Marquand AF, Sartori G, Mechelli A. Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review. Neurosci Biobehav Rev. 2012; 36(4):1140-1152. doi: 10.1016/j.neubiorev.2012.01.004 PMID: 22305994
    • (2012) Neurosci Biobehav Rev. , vol.36 , Issue.4 , pp. 1140-1152
    • Orru, G.1    Pettersson-Yeo, W.2    Marquand, A.F.3    Sartori, G.4    Mechelli, A.5
  • 19
    • 84892424989 scopus 로고    scopus 로고
    • Clinical utility of machine-learning approaches in schizophrenia: Improving diagnostic confidence for translational neuroimaging
    • PMID: 24009589
    • Iwabuchi SJ, Liddle PF, Palaniyappan L. Clinical utility of machine-learning approaches in schizophrenia: improving diagnostic confidence for translational neuroimaging. Front Psychiatry. 2013; 4:95. doi: 10.3389/fpsyt.2013.00095 PMID: 24009589
    • (2013) Front Psychiatry , vol.4 , pp. 95
    • Iwabuchi, S.J.1    Liddle, P.F.2    Palaniyappan, L.3
  • 20
    • 84894284759 scopus 로고    scopus 로고
    • Extreme learning machine-based classification of ADHD using brain structural MRI data
    • PMID: 24260229
    • Peng X, Lin P, Zhang T, Wang J. Extreme learning machine-based classification of ADHD using brain structural MRI data. PLoS One. 2013; 8(11):e79476. doi: 10.1371/journal.pone.0079476 PMID: 24260229
    • (2013) PLoS One , vol.8 , Issue.11 , pp. e79476
    • Peng, X.1    Lin, P.2    Zhang, T.3    Wang, J.4
  • 21
    • 85007344590 scopus 로고    scopus 로고
    • Multi-task feature selection via supervised canonical graph matching for diagnosis of autism spectrum disorder
    • Wang L, Wee CY, Tang X, Yap PT, Shen D. Multi-task feature selection via supervised canonical graph matching for diagnosis of autism spectrum disorder. Brain Imaging and Behavior. 2015; p. 1-8.
    • (2015) Brain Imaging and Behavior , pp. 1-8
    • Wang, L.1    Wee, C.Y.2    Tang, X.3    Yap, P.T.4    Shen, D.5
  • 22
    • 84930643969 scopus 로고    scopus 로고
    • Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism
    • PMID: 26106547
    • Chen CP, Keown CL, Jahedi A, Nair A, Pflieger ME, Bailey BA, et al. Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism. Neuro-Image Clinical. 2015; 8:238-245. doi: 10.1016/j.nicl.2015.04.002 PMID: 26106547
    • (2015) Neuro-Image Clinical , vol.8 , pp. 238-245
    • Chen, C.P.1    Keown, C.L.2    Jahedi, A.3    Nair, A.4    Pflieger, M.E.5    Bailey, B.A.6
  • 24
    • 84865972570 scopus 로고    scopus 로고
    • ADHD classification by a texture analysis of anatomical brain MRI data
    • PMID: 23024630
    • Chang CW, Ho CC, Chen JH. ADHD classification by a texture analysis of anatomical brain MRI data. Frontiers in systems neuroscience. 2012; 6. doi: 10.3389/fnsys.2012.00066 PMID: 23024630
    • (2012) Frontiers in Systems Neuroscience , vol.6
    • Chang, C.W.1    Ho, C.C.2    Chen, J.H.3
  • 26
    • 84872165959 scopus 로고    scopus 로고
    • Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada., 2nd Edition
    • Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada. Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans, 2nd Edition;. Available from: http://www.pre.ethics.gc.ca/eng/policy-politique/initiatives/tcps2-eptc2/Default/states
    • Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans
  • 28
    • 4344705249 scopus 로고
    • Statistical parametric maps in functional imaging: A general linear approach
    • Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, et al. Statistical parametric maps in functional imaging: a general linear approach. Human brain mapping. 1994; 2(4):189-210. doi: 10.1002/hbm. 460020402
    • (1994) Human Brain Mapping , vol.2 , Issue.4 , pp. 189-210
    • Friston, K.J.1    Holmes, A.P.2    Worsley, K.J.3    Poline, J.P.4    Frith, C.D.5
  • 30
    • 77957939387 scopus 로고    scopus 로고
    • Unbiased nonlinear average age-appropriate brain templates from birth to adulthood
    • Fonov V, Evans A, McKinstry R, Almli C, Collins D. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood. Neuro Image. 2009; 47:S102. doi: 10.1016/S1053-8119(09)70884-5
    • (2009) Neuro Image , vol.47 , pp. S102
    • Fonov, V.1    Evans, A.2    McKinstry, R.3    Almli, C.4    Collins, D.5
  • 31
    • 77957960096 scopus 로고    scopus 로고
    • Unbiased average age-appropriate atlases for pediatric studies
    • PMID: 20656036
    • Fonov V, Evans AC, Botteron K, Almli CR, McKinstry RC, et al. Unbiased average age-appropriate atlases for pediatric studies. Neuroimage. 2011; 54(1):313-327. doi: 10.1016/j.neuroimage.2010.07. 033 PMID: 20656036
    • (2011) Neuroimage , vol.54 , Issue.1 , pp. 313-327
    • Fonov, V.1    Evans, A.C.2    Botteron, K.3    Almli, C.R.4    McKinstry, R.C.5
  • 34
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • PMID: 16119262
    • Peng H, Long F, Ding C. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 2005; 27(8):1226-1238. doi: 10.1109/TPAMI.2005.159 PMID: 16119262
    • (2005) Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 35
    • 17644384367 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarray gene expression data
    • PMID: 15852500
    • Ding C, Peng H. Minimum redundancy feature selection from microarray gene expression data. Journal of bioinformatics and computational biology. 2005; 3(02):185-205. doi: 10.1142/S0219720005001004 PMID: 15852500
    • (2005) Journal of Bioinformatics and Computational Biology , vol.3 , Issue.2 , pp. 185-205
    • Ding, C.1    Peng, H.2
  • 36
    • 84902589544 scopus 로고    scopus 로고
    • Attributed graph distance measure for automatic detection of attention deficit hyperactive disordered subjects
    • PMID: 24982615
    • Dey S, Rao AR, Shah M. Attributed graph distance measure for automatic detection of Attention Deficit Hyperactive Disordered subjects. Frontiers in Neural Circuits. 2014; 8:64. doi: 10.3389/fncir.2014. 00064 PMID: 24982615
    • (2014) Frontiers in Neural Circuits , vol.8 , pp. 64
    • Dey, S.1    Rao, A.R.2    Shah, M.3
  • 37
    • 84925254670 scopus 로고    scopus 로고
    • Statistics. What is the question?
    • PMID: 25721505
    • Leek JT, Peng RD. Statistics. What is the question? Science. 2015; 347(6228):1314-1315. doi: 10.1126/science.aaa6146 PMID: 25721505
    • (2015) Science , vol.347 , Issue.6228 , pp. 1314-1315
    • Leek, J.T.1    Peng, R.D.2
  • 38
    • 84942037416 scopus 로고    scopus 로고
    • Neurodevelopmental sequelae associated with gray and white matter changes and their cellular basis: A comparison between autism spectrum disorder, ADHD and dyslexia
    • PMID: 26456538
    • Bennett MR, Lagopoulos J. Neurodevelopmental sequelae associated with gray and white matter changes and their cellular basis: A comparison between Autism Spectrum Disorder, ADHD and dyslexia. Int J Dev Neurosci. 2015; 46:132-143. doi: 10.1016/j.ijdevneu.2015.02.007 PMID: 26456538
    • (2015) Int J Dev Neurosci. , vol.46 , pp. 132-143
    • Bennett, M.R.1    Lagopoulos, J.2
  • 39
    • 0035986909 scopus 로고    scopus 로고
    • Structural and functional magnetic resonance imaging of autism
    • PMID: 12175882
    • Cody H, Pelphrey K, Piven J. Structural and functional magnetic resonance imaging of autism. Int J Dev Neurosci. 2002; 20(3-5):421-438. doi: 10.1016/S0736-5748(02)00053-9 PMID: 12175882
    • (2002) Int J Dev Neurosci. , vol.20 , Issue.3-5 , pp. 421-438
    • Cody, H.1    Pelphrey, K.2    Piven, J.3
  • 40
    • 84897351213 scopus 로고    scopus 로고
    • Imaging functional and structural brain connectomics in attention-deficit/hyperactivity disorder
    • PMID: 24705817
    • Cao M, Shu N, Cao Q, Wang Y, He Y. Imaging functional and structural brain connectomics in attention-deficit/hyperactivity disorder. Mol Neurobiol. 2014; 50(3):1111-1123. doi: 10.1007/s12035-014-8685-x PMID: 24705817
    • (2014) Mol Neurobiol. , vol.50 , Issue.3 , pp. 1111-1123
    • Cao, M.1    Shu, N.2    Cao, Q.3    Wang, Y.4    He, Y.5
  • 41
    • 77949383668 scopus 로고    scopus 로고
    • The nature of brain dysfunction in autism: Functional brain imaging studies
    • PMID: 20154614
    • Minshew NJ, Keller TA. The nature of brain dysfunction in autism: functional brain imaging studies. Curr Opin Neurol. 2010; 23(2):124-130. doi: 10.1097/WCO.0b013e32833782d4 PMID: 20154614
    • (2010) Curr Opin Neurol. , vol.23 , Issue.2 , pp. 124-130
    • Minshew, N.J.1    Keller, T.A.2
  • 42
    • 84890905553 scopus 로고    scopus 로고
    • On the interpretation of weight vectors of linear models in multivariate neuroimaging
    • PMID: 24239590
    • Haufe S, Meinecke F, Gorgen K, Dahne S, Haynes JD, Blankertz B, et al. On the interpretation of weight vectors of linear models in multivariate neuroimaging. Neuroimage. 2014; 87:96-110. doi: 10.1016/j. neuroimage.2013.10.067 PMID: 24239590
    • (2014) Neuroimage , vol.87 , pp. 96-110
    • Haufe, S.1    Meinecke, F.2    Gorgen, K.3    Dahne, S.4    Haynes, J.D.5    Blankertz, B.6
  • 43
    • 84952637704 scopus 로고    scopus 로고
    • From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics
    • PMID: 26254595
    • Wolfers T, Buitelaar JK, Beckmann CF, Franke B, Marquand AF. From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics. Neurosci Biobehav Rev. 2015; 57:328-349. doi: 10.1016/j.neubiorev.2015.08.001 PMID: 26254595
    • (2015) Neurosci Biobehav Rev. , vol.57 , pp. 328-349
    • Wolfers, T.1    Buitelaar, J.K.2    Beckmann, C.F.3    Franke, B.4    Marquand, A.F.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.