Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging

Frontiers in Systems Neuroscience

Volumn , Issue AUG 2012, 2012, Pages 1-9

  Eloyan, Ani ^a   Muschelli, John ^a,b   Nebel, Mary Beth ^b,c   Liu, Han ^a,d   Han, Fang ^a   Zhao, Tuo ^d   Barber, Anita D ^b,c   Joel, Suresh ^b,c   Pekar, James J ^b,c   Mostofsky, Stewart H ^b,c   Caffo, Brian ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b KENNEDY KRIEGER INSTITUTE   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d Johns Hopkins University   (United States)

Author keywords

Gradient boosting; Random forest; Singular value decomposition; Voxel based morphometry

Indexed keywords

ADULT; ARTICLE; ATTENTION DEFICIT DISORDER; BAGGING; CHILD; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; CUR DECOMPOSITION; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRADIENT BOOSTING; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; PREDICTIVE VALUE; RANDOM FOREST; RESTING STATE FUNCTIONAL CONNECTIVITY FUNCTIONAL MAGNETIC RESONANCE IMAGING; SCHOOL CHILD; SENSITIVITY AND SPECIFICITY; SINGULAR VALUE DECOMPOSITION; STRUCTURAL BRAIN IMAGING; SUPPORT VECTOR MACHINE; VOXEL BASED MORPHOMETRY;

EID: 84866012927     PISSN: 16625137     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (33)

1. American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR. American Psychiatric Publishing, Inc.
2. Biswal, B. B., Mennes, M., Zuo, X. N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., Dogonowski, A.-M., Ernst, M., Fair, D., Hampson, M., Hoptman, M. J., Hyde, J. S., Kiviniemi, V. J., Kötter, R., Li, S.-J., Lin, C.-P., Lowe, M. J., Mackay, C., Madden, D. J., Madsen, K. H., Margulies, D. S., Mayberg, H. S., McMahon, K., Monk, C. S., Mostofsky, S. H., Nagel, B. J., Pekar, J. J., Peltier, S. J., Petersen, S. E., Riedl, V., Rombouts, S. A. R. B., Rypma, B., Schlaggar, B. L., Schmidt, S., Seidler, R. D., Siegle, G. J., Sorg, C., Teng, G.-J., Veijola, J., Villringer, A., Walter, M., Wang, L., Weng, X.-C., Whitfield-Gabrieli, S., Williamson, P., Windischberger, C., Zang, Y.-F., Zhang, H.-Y., Castellanos, F. X., and Milham M. P. (2010). Toward discovery science of human brain function. Proc. Natl. Acad. Sci. U.S.A. 1070, 4734-4739.
3. Blei, D. M., Ng, A. Y., and Jordan, M. I. (2003). Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993-1022.
4. Breiman, L (2001). Random forests. Mach. Learn. 450, 5-32.
5. Brett, M., Christoff, K., Cusack, R., and Lancaster, J. (2004). Using the talairach atlas with the mni template. Neuroimage 130, 85.
6. Castellanos, F. X., Margulies, D. S., Kelly, C., Uddin, L. Q., Ghaffari, M., Kirsch, A., Shaw, D., Shehzad, Z., di Martino, A., Biswal, B., Sonuga-Barke, E. J. S., Rotrosen, J., Adler, L. A., and Milham, M. P. (2008). Cingulate-precuneus interactions: a new locus of dysfunction in adult attention-deficit/hyperactivity disorder. Biol. Psychiatry 630, 332-337.
7. Castellanos, F. X., and Proal, E. (2011). Large-scale brain systems in adhd: beyond the prefrontal-striatal model. Trends Cogn. Sci. 16, 17-26.
8. Cole, W. R., Mostofsky, S. H., Larson, J. C. G., Denckla, M. B., and Mahone, E. M. (2008). Age-related changes in motor subtle signs among girls and boys with adhd. Neurology 710, 1514-1520.
9. Cortes, C., and Vapnik, V. (1995). Support-vector networks. Mach. Learn. 20, 273-297.
10. Denckla, M. B. (1985). Revised neurological examination for subtle signs. Psychopharmacol. Bull. 210, 773.
11. Denckla, M. B., and Rudel, R. G. (1978). Anomalies of motor development in hyperactive boys. Ann. Neurol. 30, 231-233.
12. Dickstein, S. G., Bannon, K., Xavier Castellanos, F., and Milham, M. P. (2006). The neural correlates of attention deficit hyperactivity disorder: an ale meta-analysis. J. Child Psychol. Psychiatry 470, 1051-1062.
13. Freund, Y., and Schapire, R. (1995). "A desicion-theoretic generalization of on-line learning and an application to boosting," in Proceedings of the Second European Conference on Computational Theory, Vol. 904, (London: Springer-Verlag), 23-37.
14. Gilbert, D. L., Isaacs, K. M., Augusta, M., MacNeil, L. K., and Mostofsky, S. H. (2011). Motor cortex inhibition. Neurology 760, 615-621.
15. Hartigan, J. A., and Wong, M. A. (1979). Algorithm as 136: a k-means clustering algorithm. J. R. Stat. Soc. Ser. C Appl. Stat. 280, 100-108.
16. Jolliffe, I. T. (2002). Principal Component Analysis. Vol. 2, New York, NY: Wiley Online Library.
17. Liston, C., Malter Cohen, M., Teslovich, T., Levenson, D., and Casey, B. J. (2011). Atypical prefrontal connectivity in attention-deficit/hyperactivity disorder: pathway to disease or pathological end point? Biol. Psychiatry 69, 1168-1177.
18. MacNeil, L. K., Xavier, P., Garvey, M. A., Gilbert, D. L., Ranta, M. E., Denckla, M. B., and Mostofsky, S. H. (2011). Quantifying excessive mirror overflow in children with attention-deficit/hyperactivity disorder. Neurology 760, 622-628.
19. Mahoney, M. W., and Drineas, P. (2009). Cur matrix decompositions for improved data analysis. Proc. Natl. Acad. Sci. U.S.A. 1060, 697-702.
20. Nebel, M. B., Joel, S. E., Muschelli, J., Barber, A. D., Caffo, B. S., Pekar, J. J., and Mostofsky, S. H. (in press). Disruption of functional organization within primary motor cortex in children with autism. Hum. Brain Mapp.
21. Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., and Petersen, S. E. (2011a). Spurious but systematic correlations in functional connectivity mri networks arise from subject motion. Neuroimage 59, 2142-2154.
22. Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., and Petersen, S. E. (2011b). Functional network organization of the human brain. Neuron 720, 665-678.
23. Ridgeway, G. (1999). The state of boosting. Comput. Sci. Stat. 172-181.
24. Ridgeway, G. (2006). Generalized boosted regression models. Documentation on the R Package gbm. RAND Statistics Group, Santa Monica, CA. Available online at http://www.i-pensieri.com/gregr/gbm.shtml (Accessed June 2007).
25. Ridgeway, G. (2007). Generalized boosted models: a guide to the gbm package. Update 1:0 1.
26. Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., Niazy, R. K., Saunders, J., Vickers, J., Zhang, Y., De Stefano, N., Brady, J. M., and Matthews, P. M. (2004). Advances in functional and structural mr image analysis and implementation as fsl. Neuroimage 23, S208-S219.
27. Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., and Beckmann, C. F. (2009). Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. U.S.A. 1060, 13040-13045.
28. Uddin, L. Q., Kelly, A. M., Biswal, B. B., Margulies, D. S., Shehzad, Z., Shaw, D., Ghaffari, M., Rotrosen, J., Adler, L. A., Castellanos, F. X., and Milham, M. P. (2008). Network homogeneity reveals decreased integrity of default-mode network in adhd. J. Neurosci. Methods 1690, 249-254.
29. Valera, E. M., Faraone, S. V., Murray, K. E., and Seidman, L. J. (2007). Meta-analysis of structural imaging findings in attention-deficit/hyperactivity disorder. Biol. Psychiatry 610, 1361-1369.
30. Wechsler, D., and Psychological Corporation. (2004). WISC-IV: Wechsler Intelligence Scale for Children: Technical and Interpretive Manual. Psychological Corporation.
31. Weschler, D. (1999). Weschler Abbreviated Scale of Intelligence (wasi). London: Psychological Corporation.
32. Yang, H., Wu, Q. Z., Guo, L. T., Li, Q. Q., Long, X. Y., Huang, X. Q., Chan, R. C. K., and Gong, Q. Y. (2011). Abnormal spontaneous brain activity in medication-nave adhd children: a resting state fmri study. Neurosci. Lett. 502, 89-93.
33. Zhu, C. Z., Zang, Y. F., Cao, Q. J., Yan, C. G., He, Y., Jiang, T. Z., Sui, M. Q., and Wang, Y. F. (2008). Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder. Neuroimage 400, 110-120.