Classification of autism spectrum disorder using supervised learning of brain connectivity measures extracted from synchrostates

Journal of Neural Engineering

Volumn 11, Issue 4, 2014, Pages

  Jamal, Wasifa ^a   Das, Saptarshi ^a   Oprescu, Ioana Anastasia ^a   Maharatna, Koushik ^a   Apicella, Fabio ^b   Sicca, Federico ^b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b IRCCS Stella Maris Foundation   (Italy)

Author keywords

Autism spectrum disorder (ASD); Brain connectivity; Classification; Complex network; Synchrostate

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPLEX NETWORKS; DISCRIMINANT ANALYSIS; SUPERVISED LEARNING;

AUTISM SPECTRUM DISORDERS; BRAIN CONNECTIVITY; CHILDREN WITH AUTISMS; CLASSIFICATION ALGORITHM; CLASSIFICATION TASKS; ELECTRO-ENCEPHALOGRAM (EEG); SENSITIVITY AND SPECIFICITY; SYNCHROSTATE;

DISEASES;

ADOLESCENT; ARTICLE; AUTISM; BRAIN FUNCTION; CHILD; CLINICAL ARTICLE; CLINICAL PRACTICE; COGNITION; CONTROLLED STUDY; CORTICAL SYNCHRONIZATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISCRIMINANT ANALYSIS; DISEASE CLASSIFICATION; ELECTROENCEPHALOGRAM; HUMAN; LEARNING; PERCEPTION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; SYNCHROSTATE; ALGORITHM; CLASSIFICATION; ELECTROENCEPHALOGRAPHY; ELECTROENCEPHALOGRAPHY PHASE SYNCHRONIZATION; FACE; FEMALE; MALE; NERVE TRACT; PHYSIOLOGY; REPRODUCIBILITY; VISION;

ADOLESCENT; ALGORITHMS; CHILD; CHILD DEVELOPMENT DISORDERS, PERVASIVE; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; ELECTROENCEPHALOGRAPHY PHASE SYNCHRONIZATION; FACE; FEMALE; HUMANS; MALE; NEURAL PATHWAYS; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES; VISUAL PERCEPTION;

EID: 84903589732     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/11/4/046019     Document Type: Article

References (51)

1. Rubinov M and Sporns O 2010 Complex network measures of brain connectivity: uses and interpretations NeuroImage 52 1059-69
2. Minshew N J and Williams D L 2007 The new neurobiology of autism: cortex, connectivity, and neuronal organization Arch. Neurology 64 945
3. Just M A, Cherkassky V L, Keller T A and Minshew N J 2004 Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity Brain 127 1811-21 (Pubitemid 39061557)
4. Rippon G, Brock J, Brown C and Boucher J 2007 Disordered connectivity in the autistic brain: challenges for the 'new psychophysiology Int. J. Psychophysiol. 63 164-72 (Pubitemid 46096604)
5. Simmons D R, Robertson A E, McKay L S, Toal E, McAleer P and Pollick F E 2009 Vision in autism spectrum disorders Vis. Res. 49 2705-39
6. Lainhart J E et al 2006 Head circumference and height in autism: a study by the collaborative program of excellence in autism Am. J. Med. Genet. A 140 2257-74 (Pubitemid 44684952)
7. Hazlett H C et al 2005 Magnetic resonance imaging and head circumference study of brain size in autism: birth through age 2 years Arch. Gen. Psychiat. 62 1366
8. Courchesne E et al 2001 Unusual brain growth patterns in early life in patients with autistic disorder an MRI study Neurology 57 245-54 (Pubitemid 32667357)
9. Lainhart J E 2006 Advances in autism neuroimaging research for the clinician and geneticist Am. J. Med. Genet. C 142 33-9 (Pubitemid 43227667)
10. Kleinhans N M et al 2008 Abnormal functional connectivity in autism spectrum disorders during face processing Brain 131 1000-12 (Pubitemid 351499416)
11. Tommerdahl M, Tannan V, Holden J K and Baranek G T 2008 Absence of stimulus-driven synchronization effects on sensory perception in autism: evidence for local underconnectivity Behav. Brain Funct. 4 1-9
12. Coben R, Clarke A R, Hudspeth W and Barry R J 2008 EEG power and coherence in autistic spectrum disorder Clin. Neurophysiol. 119 1002-9
13. Bosl W, Tierney A, Tager-Flusberg H and Nelson C 2011 EEG complexity as a biomarker for autism spectrum disorder risk BMC Med. 9 18
14. Supekar K, Musen M and Menon V 2009 Development of large-scale functional brain networks in children PLoS Biol. 7 e1000157
15. Supekar K, Menon V, Rubin D, Musen M and Greicius M D 2008 Network analysis of intrinsic functional brain connectivity in Alzheimer's disease PLoS Comput. Biol. 4 e1000100
16. Liu Y et al 2008 Disrupted small-world networks in schizophrenia Brain 131 945-61 (Pubitemid 351499423)
17. Bassett D S, Meyer-Lindenberg A, Achard S, Duke T and Bullmore E 2006 Adaptive reconfiguration of fractal smallworld human brain functional networks Proc. Natl Acad. Sci. 103 19518-23 (Pubitemid 46026063)
18. Newman M E 2004 Analysis of weighted networks Phys. Rev. E 70 056131
19. Barrat A, Barthelemy M, Pastor-Satorras R and Vespignani A 2004 The architecture of complex weighted networks Proc. Natl Acad. Sci. USA 101 3747-52 (Pubitemid 38381049)
20. Mutlu A Y, Bernat E and Aviyente S 2012 A signal-processing- based approach to time-varying graph analysis for dynamic brain network identification Comput. Math. Methods Med. 2012 451516
21. Betzel R F et al 2013 Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity Netw. Sci. 1 353-73
22. Dimitriadis S et al 2013 Altered temporal correlations in restingstate connectivity fluctuations in children with reading difficulties detected via MEG NeuroImage 83 307-17
23. Jamal W, Das S and Maharatna K 2013 Existence of millisecond-order stable states in time-varying phase synchronization measure in EEG signals 35th Annu. Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC) pp 2539-42
24. Jamal W et al 2013 Using brain connectivity measure of EEG synchrostates for discriminating typical and autism spectrum disorder 6th Int. IEEE/EMBS Conf. on Neural Engineering (NER) pp 1402-5
25. Apicella F, Sicca F, Federico R R, Campatelli G and Muratori F 2013 Fusiform Gyrus responses to neutral and emotional faces in children with autism spectrum disorders: a high density ERP study Behav. Brain Res. 251 115-62
26. Carver L and Dawson G 2002 Development and neural bases of face recognition in autism Mol. Psychiat. 7 S18
27. Lotte F et al 2007 A review of classification algorithms for EEG-based brain-computer interfaces J. Neural Eng. 4 R1
28. Blankertz B, Lemm S, Treder M, Haufe S and Müller K-R 2011 Single-trial analysis and classification of ERP components - a tutorial NeuroImage 56 814-25
29. Ramoser H, Muller-Gerking J and Pfurtscheller G 2000 Optimal spatial filtering of single trial EEG during imagined hand movement IEEE Trans. Rehabil. Eng. 8 441-6 (Pubitemid 32178931)
30. Garrett D, Peterson D A, Anderson C W and Thaut M H 2003 Comparison of linear, nonlinear, and feature selection methods for EEG signal classification IEEE Trans. Neural Syst. Rehabil. Eng. 11 141-4 (Pubitemid 36935042)
31. Liyanage S R, Guan C, Zhang H, Ang K K, Xu J and Lee T H 2013 Dynamically weighted ensemble classification for nonstationary EEG processing J. Neural Eng. 10 036007
32. Liao X, Yao D and Li C 2007 Transductive SVM for reducing the training effort in BCI J. Neural Eng. 4 246
33. Jrad N et al 2011 sw-SVM: sensor weighting support vector machines for EEG-based brain-computer interfaces J. Neural Eng. 8 056004
34. Quiroga R Q, Kraskov A, Kreuz T and Grassberger P 2002 Performance of different synchronization measures in real data: a case study on electroencephalographic signals Phys. Rev. E 65 041903
35. Engel A K, Fries P and Singer W 2001 Dynamic predictions: oscillations and synchrony in top-down processing Nat. Rev. Neurosci. 2 704-16 (Pubitemid 33674816)
36. Gray C M, König P, Engel A K and Singer W 1989 Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties Nature 338 334-7 (Pubitemid 19082973)
37. Fries P 2009 Neuronal gamma-band synchronization as a fundamental process in cortical computation Annu. Rev. Neurosci. 32 209-24
38. Sporns O 2011 Networks of the Brain (Cambridge, MA: MIT press)
39. Strogatz S H 2001 Exploring complex networks Nature 410 268-76 (Pubitemid 32216604)
40. Watts D J and Strogatz S H 1998 Collective dynamics of 'small-world'networks Nature 393 440-2
41. Rogers S and Girolami M 2011 A First Course in Machine Learning (London: CRC Press)
42. Semmlow J L 2009 Biosignal and Medical Image Processing (Boca Raton, FL: CRC Press)
43. Molinaro A M, Simon R and Pfeiffer R M 2005 Prediction error estimation: a comparison of resampling methods Bioinformatics 21 3301-7 (Pubitemid 41418445)
44. Theodoridis S, Pikrakis A, Koutroumbas K and Cavouras D 2010 Introduction to Pattern Recognition: A Matlab Approach (New York: Academic)
45. Rapp P E, Cellucci C J, Keyser D O, Gilpin A M and Darmon D M 2013 Statistical issues in TBI clinical studies Front. Neurology 4 177
46. Pollonini L, Patidar U, Situ N, Rezaie R, Papanicolaou A C and Zouridakis G 2010 Functional connectivity networks in the autistic and healthy brain assessed using Granger causality Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC) pp 1730-3
47. Stahl D et al 2012 Novel machine learning methods for ERP analysis: a validation from research on infants at risk for autism Dev. Neuropsychol. 37 274-98
48. Kana R K, Libero L E and Moore M S 2011 Disrupted cortical connectivity theory as an explanatory model for autism spectrum disorders Phys. Life Rev. 8 410-37
49. Nunez P L et al 1997 EEG coherency: I: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales Electroencephalogr. Clin. Neurophysiol. 103 499-515 (Pubitemid 27505343)
50. Menon V et al 1996 Spatio-temporal correlations in human gamma band electrocorticograms Electroencephalogr. Clin. Neurophysiol. 98 89-102 (Pubitemid 26076006)
51. Rodriguez E, George N, Lachaux J-P, Martinerie J, Renault B and Varela F J 1999 Perception's shadow: longdistance synchronization of human brain activity Nature 397 430-3