Function in the human connectome: Task-fMRI and individual differences in behavior

NeuroImage

Volumn 80, Issue , 2013, Pages 169-189

  Barch, Deanna M ^a,b,c   Burgess, Gregory C ^b   Harms, Michael P ^b   Petersen, Steven E ^a,b,c   Schlaggar, Bradley L ^b,c   Corbetta, Maurizio ^b,c   Glasser, Matthew F ^b   Curtiss, Sandra ^b   Dixit, Sachin ^b   Feldt, Cindy ^b   Nolan, Dan ^b   Bryant, Edward ^b   Hartley, Tucker ^b   Footer, Owen ^b   Bjork, James M ^d   Poldrack, Russ ^e   Smith, Steve ^f   Johansen Berg, Heidi ^f   Snyder, Abraham Z ^c   Van Essen, David C ^b  

^a WASHINGTON UNIVERSITY   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d NATIONAL INSTITUTE ON DRUG ABUSE   (United States)

^e UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^f UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Cognitive; Connectivity; Emotion; Individual differences; Personality; Sensory and motor function; Task fMRI

Indexed keywords

ADULT; ARTICLE; BEHAVIOR; BRAIN FUNCTION; BRAIN MAPPING; CONNECTOME; EMOTION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; LANGUAGE PROCESSING; MALE; MEMORY; MENTAL FUNCTION; MENTAL TASK; MOTOR PERFORMANCE; PRIORITY JOURNAL; SENSATION; SOCIAL COGNITION; TASK FUNCTIONAL MAGNETIC RESONANCE IMAGING;

COGNITIVE; CONNECTIVITY; EMOTION; INDIVIDUAL DIFFERENCES; PERSONALITY; SENSORY AND MOTOR FUNCTION; TASK-FMRI;

ADULT; BEHAVIOR; BRAIN; CONNECTOME; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NERVE NET; TASK PERFORMANCE AND ANALYSIS; YOUNG ADULT;

EID: 84880329722     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.05.033     Document Type: Article

References (153)

1. Achenbach T.M. The Achenbach System of Empirically Based Assessment (ASEBA): Development, Findings, Theory and Applications 2009, University of Vermont Research Center for Children, Youth and Families, Burlington, VT.
2. Antal A., Baudewig J., Paulus W., Dechent P. The posterior cingulate cortex and planum temporale/parietal operculum are activated by coherent visual motion. Vis. Neurosci. 2008, 25:17-26.
3. Anticevic A., Dierker D.L., Gillespie S.K., Repovs G., Csernansky J.G., Van Essen D.C., Barch D.M. Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia. NeuroImage 2008, 41:835-848.
4. Arditi A. Improving the design of the letter contrast sensitivity test. Invest. Ophthalmol. Vis. Sci. 2005, 46:2225-2229.
5. Bassett D.S., Bullmore E.T., Meyer-Lindenberg A., Apud J.A., Weinberger D.R., Coppola R. Cognitive fitness of cost-efficient brain functional networks. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:11747-11752.
6. Beck R.W., Moke P.S., Turpin A.H., Ferris F.L., SanGiovanni J.P., Johnson C.A., Birch E.E., Chandler D.L., Cox T.A., Blair R.C., Kraker R.T. A computerized method of visual acuity testing: adaptation of the early treatment of diabetic retinopathy study testing protocol. Am. J. Ophthalmol. 2003, 135:194-205.
7. Bilker W.B., Hansen J.A., Brensinger C.M., Richard J., Gur R.E., Gur R.C. Development of abbreviated nine-item forms of the Raven's standard progressive matrices test. Assessment 2012, 19:354-369.
8. Binder J.R., Gross W.L., Allendorfer J.B., Bonilha L., Chapin J., Edwards J.C., Grabowski T.J., Langfitt J.T., Loring D.W., Lowe M.J., Koenig K., Morgan P.S., Ojemann J.G., Rorden C., Szaflarski J.P., Tivarus M.E., Weaver K.E. Mapping anterior temporal lobe language areas with fMRI: a multicenter normative study. NeuroImage 2011, 54:1465-1475.
9. Bizzi A., Blasi V., Falini A., Ferroli P., Cadioli M., Danesi U., Aquino D., Marras C., Caldiroli D., Broggi G. Presurgical functional MR imaging of language and motor functions: validation with intraoperative electrocortical mapping. Radiology 2008, 248:579-589.
10. Bjork J.M., Smith A.R., Hommer D.W. Striatal sensitivity to reward deliveries and omissions in substance dependent patients. NeuroImage 2008, 42:1609-1621.
11. Bracci S., Ietswaart M., Peelen M.V., Cavina-Pratesi C. Dissociable neural responses to hands and non-hand body parts in human left extrastriate visual cortex. J. Neurophysiol. 2010, 103:3389-3397.
12. Brooks J.C., Beckmann C.F., Miller K.L., Wise R.G., Porro C.A., Tracey I., Jenkinson M. Physiological noise modelling for spinal functional magnetic resonance imaging studies. NeuroImage 2008, 39:680-692.
13. Bucholz K.K., Cadoret R., Cloninger C.R., Dinwiddie S.H., Hesselbrock V.M., Nurnberger J.I., Reich T., Schmidt I., Schuckit M.A. A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA. J. Stud. Alcohol 1994, 55:149-158.
14. Buckner R.L., Sepulcre J., Talukdar T., Krienen F.M., Liu H., Hedden T., Andrews-Hanna J.R., Sperling R.A., Johnson K.A. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J. Neurosci. 2009, 29:1860-1873.
15. Buckner R.L., Krienen F.M., Castellanos A., Diaz J.C., Yeo B.T. The organization of the human cerebellum estimated by intrinsic functional connectivity. J. Neurophysiol. 2011, 106:2322-2345.
16. Burgess G.C., Gray J.R., Conway A.R., Braver T.S. Neural mechanisms of interference control underlie the relationship between fluid intelligence and working memory span. J. Exp. Psychol. Gen. 2011, 140:674-692.
17. Buysse D.J., Reynolds C.F., Monk T.H., Berman S.R., Kupfer D.J. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989, 28:193-213.
18. Caceres A., Hall D.L., Zelaya F.O., Williams S.C., Mehta M.A. Measuring fMRI reliability with the intra-class correlation coefficient. NeuroImage 2009, 45:758-768.
19. Carter A.R., Astafiev S.V., Lang C.E., Connor L.T., Rengachary J., Strube M.J., Pope D.L., Shulman G.L., Corbetta M. Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke. Ann. Neurol. 2010, 67:365-375.
20. Castelli F., Happe F., Frith U., Frith C. Movement and mind: a functional imaging study of perception and interpretation of complex intentional movement patterns. NeuroImage 2000, 12:314-325.
21. Castelli F., Frith C., Happe F., Frith U. Autism, Asperger syndrome and brain mechanisms for the attribution of mental states to animated shapes. Brain 2002, 125:1839-1849.
22. Chang C., Glover G.H. Effects of model-based physiological noise correction on default mode network anti-correlations and correlations. NeuroImage 2009, 47:1448-1459.
23. Christoff K., Prabhakaran V., Dorfman J., Zhao Z., Kroger J.K., Holyoak K.J., Gabrieli J.D. Rostrolateral prefrontal cortex involvement in relational integration during reasoning. NeuroImage 2001, 14:1136-1149.
24. Church J.A., Fair D.A., Dosenbach N.U., Cohen A.L., Miezin F.M., Petersen S.E., Schlaggar B.L. Control networks in paediatric Tourette syndrome show immature and anomalous patterns of functional connectivity. Brain 2009, 132:225-238.
25. Cohen A.L., Fair D.A., Dosenbach N.U., Miezin F.M., Dierker D., Van Essen D.C., Schlaggar B.L., Petersen S.E. Defining functional areas in individual human brains using resting functional connectivity MRI. NeuroImage 2008, 41:45-57.
26. Cole B.L. Assessment of inherited colour vision defects in clinical practice. Clin. Exp. Optom. 2007, 90:157-175.
27. Cole M.W., Yarkoni T., Repovs G., Anticevic A., Braver T.S. Global connectivity of prefrontal cortex predicts cognitive control and intelligence. J. Neurosci. 2012, 32:8988-8999.
28. Collin G., Sporns O., Mandl R.C., van den Heuvel M.P. Structural and functional aspects relating to cost and benefit of rich club organization in the human cerebral cortex. Cereb. Cortex 2013, (in press).
29. Constable R.T., Ment L.R., Vohr B.R., Kesler S.R., Fulbright R.K., Lacadie C., Delancy S., Katz K.H., Schneider K.C., Schafer R.J., Makuch R.W., Reiss A.R. Prematurely born children demonstrate white matter microstructural differences at 12years of age, relative to term control subjects: an investigation of group and gender effects. Pediatrics 2008, 121:306-316.
30. Conway A.R., Kane M.J., Bunting M.F., Hambrick D.Z., Wilhelm O., Engle R.W. Working memory span tasks: a methodological review and user's guide. Psychon. Bull. Rev. 2005, 12:769-786.
31. Crum R.M., Anthony J.C., Bassett S.S., Folstein M.F. Population-based norms for the Mini-Mental State Examination by age and educational level. JAMA 1993, 269:2386-2391.
32. Dalley J.W., Mar A.C., Economidou D., Robbins T.W. Neurobehavioral mechanisms of impulsivity: fronto-striatal systems and functional neurochemistry. Pharmacol. Biochem. Behav. 2008, 90:250-260.
33. Delgado M.R., Nystrom L.E., Fissell C., Noll D.C., Fiez J.A. Tracking the hemodynamic responses to reward and punishment in the striatum. J. Neurophysiol. 2000, 84:3072-3077.
34. Ditman T., Holcomb P.J., Kuperberg G.R. An investigation of concurrent ERP and self-paced reading methodologies. Psychophysiology 2007, 44:927-935.
35. Doricchi F., Macci E., Silvetti M., Macaluso E. Neural correlates of the spatial and expectancy components of endogenous and stimulus-driven orienting of attention in the Posner task. Cereb. Cortex 2010, 20:1574-1585.
36. Dougherty B.E., Flom R.E., Bullimore M.A. An evaluation of the Mars Letter Contrast Sensitivity Test. Optom. Vis. Sci. 2005, 82:970-975.
37. Downing P.E., Jiang Y., Shuman M., Kanwisher N. A cortical area selective for visual processing of the human body. Science 2001, 293:2470-2473.
38. Downing P.E., Chan A.W., Peelen M.V., Dodds C.M., Kanwisher N. Domain specificity in visual cortex. Cereb. Cortex 2006, 16:1453-1461.
39. Downing P.E., Peelen M.V., Wiggett A.J., Tew B.D. The role of the extrastriate body area in action perception. Soc. Neurosci. 2006, 1:52-62.
40. Drobyshevsky A., Baumann S.B., Schneider W. A rapid fMRI task battery for mapping of visual, motor, cognitive, and emotional function. NeuroImage 2006, 31:732-744.
41. Duncan J. Intelligence tests predict brain response to demanding task events. Nat. Neurosci. 2003, 6:207-208.
42. Duncan J. Frontal lobe function and general intelligence: why it matters. Cortex 2005, 41:215-217.
43. Duncan J., Seltz R.J., Kolodny J., Bor D., Herzog H., Ahmed A., Newell F.N., Emslie H. A neural basis for general intelligence. Am. J. Ophthalmol. 2000, 130:687.
44. Engelmann J.B., Damaraju E., Padmala S., Pessoa L. Combined effects of attention and motivation on visual task performance: transient and sustained motivational effects. Front. Hum. Neurosci. 2009, 3:4.
45. Estle S.J., Green L., Myerson J., Holt D.D. Differential effects of amount on temporal and probability discounting of gains and losses. Mem. Cognit. 2006, 34:914-928.
46. Fair D.A., Dosenbach N.U., Church J.A., Cohen A.L., Brahmbhatt S., Miezin F.M., Barch D.M., Raichle M.E., Petersen S.E., Schlaggar B.L. Development of distinct control networks through segregation and integration. Proc. Natl. Acad. Sci. 2007, 104:13507-13512.
47. Fair D.A., Cohen A.L., Power J.D., Dosenbach N.U., Church J.A., Miezin F.M., Schlaggar B.L., Petersen S.E. Functional brain networks develop from a "local to distributed" organization. PLoS Comput. Biol. 2009, 5:e1000381.
48. Fair D.A., Nigg J.T., Iyer S., Bathula D., Mills K.L., Dosenbach N.U., Schlaggar B.L., Mennes M., Gutman D., Bangaru S., Buitelaar J.K., Dickstein D.P., Di Martino A., Kennedy D.N., Kelly C., Luna B., Schweitzer J.B., Velanova K., Wang Y.F., Mostofsky S., Castellanos F.X., Milham M.P. Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. Front. Syst. Neurosci. 2012, 6:80.
49. Feinberg D.A., Moeller S., Smith S.M., Auerbach E., Ramanna S., Glasser M.F., Miller K.L., Ugurbil K., Yacoub E. Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging. PLoS One 2010, 5:e15710.
50. Fischl B., Sereno M.I., Dale A.M. Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system. NeuroImage 1999, 9:195-207.
51. Fischl B., Sereno M.I., Tootell R.B., Dale A.M. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 1999, 8:272-284.
52. Fischl B., Rajendran N., Busa E., Augustinack J., Hinds O., Yeo B.T., Mohlberg H., Amunts K., Zilles K. Cortical folding patterns and predicting cytoarchitecture. Cereb. Cortex 2008, 18:1973-1980.
53. Fitzsimmons J., Kubicki M., Shenton M.E. Review of functional and anatomical brain connectivity findings in schizophrenia. Curr. Opin. Psychiatry 2013, 26(2):172-187.
54. Folstein M.F., Folstein S.E., McHugh P.R. Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 1975, 12:189-198.
55. Forbes E.E., Hariri A.R., Martin S.L., Silk J.S., Moyles D.L., Fisher P.M., Brown S.M., Ryan N.D., Birmaher B., Axelson D.A., Dahl R.E. Altered striatal activation predicting real-world positive affect in adolescent major depressive disorder. Am. J. Psychiatry 2009, 166:64-73.
56. Fornito A., Zalesky A., Pantelis C., Bullmore E.T. Schizophrenia, neuroimaging and connectomics. NeuroImage 2012, 62:2296-2314.
57. Fox C.J., Iaria G., Barton J.J. Defining the face processing network: optimization of the functional localizer in fMRI. Hum. Brain Mapp. 2009, 30:1637-1651.
58. Frost M.A., Goebel R. Measuring structural-functional correspondence: spatial variability of specialized brain regions after macros-anatomical alignment. NeuroImage 2012, 59:1369-1381.
59. Glasser M.F., Van Essen D.C. Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI. J. Neurosci. 2011, 31:11597-11616.
60. Glasser M.F., Burgess G.C., Xu J., He Y., Barch D.M., Coalson T.S., Fischl B., Harms M.P., Jenkinson M., Patenaude B., Petersen S.E., Schlaggar B.L., Smith S., Woolrich M.W., Yacoub E., Van Essen D. Surface Gradient Comparison of Myelin and fMRI: Architectonic and Functional Border Co-localization 2012, Organization for Human Brain Mapping, Beijing, China.
61. Glasser M.F., Sotiropoulos S.N., Wilson J.A., Coalson T.S., Fischl B., Andersson J.L., Xu J., Jbadbi S., Webster M., Polimeni J.R., Van Essen D.C., Jenkinson M. The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage 2013, 80:105-124. for the WU-Minn HCP Consortium, (this issue, Special Issue "Mapping the Connectome").
62. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 1999, 9:416-429.
63. Glover G.H., Li T.Q., Ress D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn. Reson. Med. 2000, 44:162-167.
64. Goldberg L.R. The structure of phenotypic personality traits. Am. Psychol. 1993, 48:26-34.
65. Gountouna V.E., Job D.E., McIntosh A.M., Moorhead T.W., Lymer G.K., Whalley H.C., Hall J., Waiter G.D., Brennan D., McGonigle D.J., Ahearn T.S., Cavanagh J., Condon B., Hadley D.M., Marshall I., Murray A.D., Steele J.D., Wardlaw J.M., Lawrie S.M. Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task. NeuroImage 2009, 49(1):552-560.
66. Gozzo Y., Vohr B., Lacadie C., Hampson M., Katz K.H., Maller-Kesselman J., Schneider K.C., Peterson B.S., Rajeevan N., Makuch R.W., Constable R.T., Ment L.R. Alterations in neural connectivity in preterm children at school age. NeuroImage 2009, 48:458-463.
67. Gray J.R., Chabris C.F., Braver T.S. Neural mechanisms of general fluid intelligence. Nat. Neurosci. 2003, 6:316-322.
68. Gray J.R., Burgess G.C., Schaefer A., Yarkoni T., Larsen R.J., Braver T.S. Affective personality differences in neural processing efficiency confirmed using fMRI. Cogn. Affect. Behav. Neurosci. 2005, 5:182-190.
69. Green L., Myerson J., Shah A.K., Estle S.J., Holt D.D. Do adjusting-amount and adjusting-delay procedures produce equivalent estimates of subjective value in pigeons?. J. Exp. Anal. Behav. 2007, 87:337-347.
70. Gur R.C., Ragland J.D., Moberg P.J., Bilker W.B., Kohler C., Siegel S.J., Gur R.E. Computerized neurocognitive scanning: II. The profile of schizophrenia. Neuropsychopharmacology 2001, 25:777-788.
71. Gur R.C., Ragland J.D., Moberg P.J., Turner T.H., Bilker W.B., Kohler C., Siegel S.J., Gur R.E. Computerized neurocognitive scanning: I. Methodology and validation in healthy people. Neuropsychopharmacology 2001, 25:766-776.
72. Gur R.C., Richard J., Hughett P., Calkins M.E., Macy L., Bilker W.B., Brensinger C., Gur R.E. A cognitive neuroscience-based computerized battery for efficient measurement of individual differences: standardization and initial construct validation. J. Neurosci. Methods 2010, 187:254-262.
73. Hariri A.R., Tessitore A., Mattay V.S., Fera F., Weinberger D.R. The amygdala response to emotional stimuli: a comparison of faces and scenes. NeuroImage 2002, 17:317-323.
74. Hariri A.R., Brown S.M., Williamson D.E., Flory J.D., de Wit H., Manuck S.B. Preference for immediate over delayed rewards is associated with magnitude of ventral striatal activity. J. Neurosci. 2006, 26:13213-13217.
75. Harriger L., van den Heuvel M.P., Sporns O. Rich club organization of macaque cerebral cortex and its role in network communication. PLoS One 2012, 7:e46497.
76. Hawellek D.J., Hipp J.F., Lewis C.M., Corbetta M., Engel A.K. Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis. Proc. Natl. Acad. Sci. U. S. A. 2011, 108:19066-19071.
77. Haymes S.A., Roberts K.F., Cruess A.F., Nicolela M.T., LeBlanc R.P., Ramsey M.S., Chauhan B.C., Artes P.H. The letter contrast sensitivity test: clinical evaluation of a new design. Invest. Ophthalmol. Vis. Sci. 2006, 47:2739-2745.
78. He B.J., Snyder A.Z., Vincent J.L., Epstein A., Shulman G.L., Corbetta M. Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. Neuron 2007, 53:905-918.
79. He Y., Dagher A., Chen Z., Charil A., Zijdenbos A., Worsley K., Evans A. Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load. Brain 2009, 132(Pt. 12):3366-3379.
80. Heatherton T.F., Kozlowski L.T., Frecker R.C., Fagerstrom K.O. The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br. J. Addict. 1991, 86:1119-1127.
81. Heine S.J., Buchtel E.E. Personality: the universal and the culturally specific. Annu. Rev. Psychol. 2009, 60:369-394.
82. Hesselbrock M., Easton C., Bucholz K.K., Schuckit M., Hesselbrock V. A validity study of the SSAGA-a comparison with the SCAN. Addiction 1999, 94:1361-1370.
83. Hirsch J., Ruge M.I., Kim K.H., Correa D.D., Victor J.D., Relkin N.R., Labar D.R., Krol G., Bilsky M.H., Souweidane M.M., DeAngelis L.M., Gutin P.H. An integrated functional magnetic resonance imaging procedure for preoperative mapping of cortical areas associated with tactile, motor, language, and visual functions. Neurosurgery 2000, 47:711-721. (discussion 721-712).
84. Hulvershorn L.A., Cullen K., Anand A. Toward dysfunctional connectivity: a review of neuroimaging findings in pediatric major depressive disorder. Brain Imaging Behav. 2011, 5:307-328.
85. Hwang, K., Hallquist, M.N., Luna, B., in press. The development of hub architecture in the human functional brain network. Cereb. Cortex.
86. Imperati D., Colcombe S., Kelly C., Di Martino A., Zhou J., Castellanos F.X., Milham M.P. Differential development of human brain white matter tracts. PLoS One 2011, 6:e23437.
87. Insel T.R. Assessing the economic costs of serious mental illness. Am. J. Psychiatry 2008, 165:663-665.
88. Johnstone T., Ores Walsh K.S., Greischar L.L., Alexander A.L., Fox A.S., Davidson R.J., Oakes T.R. Motion correction and the use of motion covariates in multiple-subject fMRI analysis. Hum. Brain Mapp. 2006, 27:779-788.
89. Kanwisher N. Faces and places: of central (and peripheral) interest. Nat. Neurosci. 2001, 4:455-456.
90. Kawabata Duncan K.J., Devlin J.T. Improving the reliability of functional localizers. NeuroImage 2011, 57:1022-1030.
91. Kozlowski L.T., Porter C.Q., Orleans C.T., Pope M.A., Heatherton T. Predicting smoking cessation with self-reported measures of nicotine dependence: FTQ, FTND, and HSI. Drug Alcohol Depend. 1994, 34:211-216.
92. Kung C.C., Peissig J.J., Tarr M.J. Is region-of-interest overlap comparison a reliable measure of category specificity?. J. Cogn. Neurosci. 2007, 19:2019-2034.
93. Kuperberg G.R., Sitnikova T., Lakshmanan B.M. Neuroanatomical distinctions within the semantic system during sentence comprehension: evidence from functional magnetic resonance imaging. NeuroImage 2008, 40:367-388.
94. Larson-Prior L.J., Oostenveld R., Della Penna S., Michalareas G., Prior F., Babajani-Feremi A., Schoffelen J.-M., Marzetti L., de Pasquale F., Di Pompeo F., Stout J., Woolrich M., Luo Q., Bucholz R., Fries P., Pizzella V., Romani G.L., Corbetta M., Snyder A.Z. Adding dynamics to the Human Connectome Project with MEG. NeuroImage 2013, 80:190-201. for the WU-Minn HCP Consortium, (this issue, Special Issue "Mapping the Connectome").
95. Li Y., Liu Y., Li J., Qin W., Li K., Yu C., Jiang T. Brain anatomical network and intelligence. PLoS Comput. Biol. 2009, 5:e1000395.
96. Liu T.T., Frank L.R., Wong E.C., Buxton R.B. Detection power, estimation efficiency, and predictability in event-related fMRI. NeuroImage 2001, 13:759-773.
97. Manuck S.B., Brown S.M., Forbes E.E., Hariri A.R. Temporal stability of individual differences in amygdala reactivity. Am. J. Psychiatry 2007, 164:1613-1614.
98. Marcus D.S., Harms M.P., Snyder A.M., Jenkinson M., Wilson J.T., Glasser M.F., Barch D.M., Archie K.A., Burgess G.C., Ramaratnam M., Hodge M., Horton W., Herrick R., Olsen T., Mckay M., House M., Hileman M., Reid E., Harwell J., Coalson T., Schindler J., Elam J., Curtis C.W., Van Essen D.C. Human Connectome Project informatics: quality control, database services and data visualization. NeuroImage 2013, 80:202-219. for the WU-Minn HCP Consortium, (this issue, Special Issue "Mapping the Connectome").
99. May J.C., Delgado M.R., Dahl R.E., Stenger V.A., Ryan N.D., Fiez J.A., Carter C.S. Event-related functional magnetic resonance imaging of reward-related brain circuitry in children and adolescents. Biol. Psychiatry 2004, 55:359-366.
100. McCrae R.R., Costa P.T. A contemplated revision of the NEO Five Factor Inventory. Personal. Individ. Differ. 2004, 36:587-596.
101. McCrae R.R., Costa P.T. The five factor theory of personality. Handbook of Personality: Theory and Research 2008, 159-181. Guilford, New York. O.P. John, R.W. Robins, L.A. Pervin (Eds.).
102. Miller M.B., Van Horn J.D., Wolford G.L., Handy T.C., Valsangkar-Smyth M., Inati S., Grafton S., Gazzaniga M.S. Extensive individual differences in brain activations associated with episodic retrieval are reliable over time. J. Cogn. Neurosci. 2002, 14:1200-1214.
103. Miller M.B., Donovan C.L., Van Horn J.D., German E., Sokol-Hessner P., Wolford G.L. Unique and persistent individual patterns of brain activity across different memory retrieval tasks. NeuroImage 2009, 48:625-635.
104. Moeller S., Yacoub E., Olman C.A., Auerbach E., Strupp J., Harel N., Ugurbil K. Multiband multislice GE-EPI at 7Tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn. Reson. Med. 2010, 63:1144-1153.
105. Moke P.S., Turpin A.H., Beck R.W., Holmes J.M., Repka M.X., Birch E.E., Hertle R.W., Kraker R.T., Miller J.M., Johnson C.A. Computerized method of visual acuity testing: adaptation of the amblyopia treatment study visual acuity testing protocol. Am. J. Ophthalmol. 2001, 132:903-909.
106. Morioka T., Yamamoto T., Mizushima A., Tombimatsu S., Shigeto H., Hasuo K., Nishio S., Fujii K., Fukui M. Comparison of magnetoencephalography, functional MRI, and motor evoked potentials in the localization of the sensory-motor cortex. Neurol. Res. 1995, 17:361-367.
107. Mullen K.M., Vohr B.R., Katz K.H., Schneider K.C., Lacadie C., Hampson M., Makuch R.W., Reiss A.L., Constable R.T., Ment L.R. Preterm birth results in alterations in neural connectivity at age 16years. NeuroImage 2011, 54:2563-2570.
108. Myerson J., Green L., Warusawitharana M. Area under the curve as a measure of discounting. J. Exp. Anal. Behav. 2001, 76:235-243.
109. Nelson S.M., Cohen A.L., Power J.D., Wig G.S., Miezin F.M., Wheeler M.E., Velanova K., Donaldson D.I., Phillips J.S., Schlaggar B.L., Petersen S.E. A parcellation scheme for human left lateral parietal cortex. Neuron 2010, 67:156-170.
110. O'Craven K.M., Kanwisher N. Mental imagery of faces and places activates corresponding stimulus-specific brain regions. J. Cogn. Neurosci. 2000, 12:1013-1023.
111. Oldfield R.C. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 1971, 9:97-113.
112. Panigrahy A., Wisnowski J.L., Furtado A., Lepore N., Paquette L., Bluml S. Neuroimaging biomarkers of preterm brain injury: toward developing the preterm connectome. Pediatr. Radiol. 2012, 42(Suppl. 1):S33-S61.
113. Park S., Chun M.M. Different roles of the parahippocampal place area (PPA) and retrosplenial cortex (RSC) in panoramic scene perception. NeuroImage 2009, 47:1747-1756.
114. Peelen M.V., Downing P.E. Within-subject reproducibility of category-specific visual activation with functional MRI. Hum. Brain Mapp. 2005, 25:402-408.
115. Peuskens H., Vanrie J., Verfaillie K., Orban G.A. Specificity of regions processing biological motion. Eur. J. Neurosci. 2005, 21:2864-2875.
116. Phan K.L., Fitzgerald D.A., Gao K., Moore G.J., Tancer M.E., Posse S. Real-time fMRI of cortico-limbic brain activity during emotional processing. Neuroreport 2004, 15:527-532.
117. Pinsk M.A., Arcaro M., Weiner K.S., Kalkus J.F., Inati S.J., Gross C.G., Kastner S. Neural representations of faces and body parts in macaque and human cortex: a comparative FMRI study. J. Neurophysiol. 2009, 101:2581-2600.
118. Power J.D., Barnes K.A., Snyder A.Z., Schlaggar B.L., Petersen S.E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 2012, 59:2142-2154.
119. Prabhakaran V., Smith J.A., Desmond J.E., Glover G.H., Gabrieli J.D. Neural substrates of fluid reasoning: an fMRI study of neocortical activation during performance of the Raven's Progressive Matrices Test. Cogn. Psychol. 1997, 33:43-63.
120. Repovs G., Csernansky J.G., Barch D.M. Brain network connectivity in individuals with schizophrenia and their siblings. Biol. Psychiatry 2011, 69:967-973.
121. Robinson E.C., Jbabdi S., Andersson J., Smith S., Glasser M.F., Van Essen D., Burgess G.C., Harms M.P., Jenkinson M. Multimodal surface matching: a new surface registration approach that improves functional alignment 2013, Organization of Human Brain Mapping, Seattle, Washington, USA.
122. Rocca M.A., Absinta M., Valsasina P., Ciccarelli O., Marino S., Rovira A., Gass A., Wegner C., Enzinger C., Korteweg T., Sormani M.P., Mancini L., Thompson A.J., De Stefano N., Montalban X., Hirsch J., Kappos L., Ropele S., Palace J., Barkhof F., Matthews P.M., Filippi M. Abnormal connectivity of the sensorimotor network in patients with MS: a multicenter fMRI study. Hum. Brain Mapp. 2009, 30:2412-2425.
123. Saxe R., Jamal N., Powell L. My body or yours? The effect of visual perspective on cortical body representations. Cereb. Cortex 2006, 16:178-182.
124. Schafer R.J., Lacadie C., Vohr B., Kesler S.R., Katz K.H., Schneider K.C., Pugh K.R., Makuch R.W., Reiss A.L., Constable R.T., Ment L.R. Alterations in functional connectivity for language in prematurely born adolescents. Brain 2009, 132:661-670.
125. Schoonheim M.M., Geurts J.J., Landi D., Douw L., van der Meer M.L., Vrenken H., Polman C.H., Barkhof F., Stam C.J. Functional connectivity changes in multiple sclerosis patients: a graph analytical study of MEG resting state data. Hum. Brain Mapp. 2013, 34:52-61.
126. Shamosh N.A., Deyoung C.G., Green A.E., Reis D.L., Johnson M.R., Conway A.R., Engle R.W., Braver T.S., Gray J.R. Individual differences in delay discounting: relation to intelligence, working memory, and anterior prefrontal cortex. Psychol. Sci. 2008, 19:904-911.
127. Siegel J.S., Power J.D., Vogel A.C., Church J.A., Dubis J.W., Schlaggar B.L., Petersen S.E. Statistical Improvements in fMRI Analyses Produced by Censoring High Motion Datapoints 2013, Hum. Brain Mapp. (in press).
128. Smith R., Keramatian K., Christoff K. Localizing the rostrolateral prefrontal cortex at the individual level. NeuroImage 2007, 36:1387-1396.
129. Song M., Zhou Y., Li J., Liu Y., Tian L., Yu C., Jiang T. Brain spontaneous functional connectivity and intelligence. NeuroImage 2008, 41:1168-1176.
130. Stevens M.C., Skudlarski P., Pearlson G.D., Calhoun V.D. Age-related cognitive gains are mediated by the effects of white matter development on brain network integration. NeuroImage 2009, 48:738-746.
131. Strakowski S.M., Adler C.M., Almeida J., Altshuler L.L., Blumberg H.P., Chang K.D., DelBello M.P., Frangou S., McIntosh A., Phillips M.L., Sussman J.E., Townsend J.D. The functional neuroanatomy of bipolar disorder: a consensus model. Bipolar Disord. 2012, 14:313-325.
132. Supekar K., Musen M., Menon V. Development of large-scale functional brain networks in children. PLoS Biol. 2009, 7:e1000157.
133. Sutherland M.T., McHugh M.J., Pariyadath V., Stein E.A. Resting state functional connectivity in addiction: lessons learned and a road ahead. NeuroImage 2012, 62:2281-2295.
134. Taylor J.C., Wiggett A.J., Downing P.E. Functional MRI analysis of body and body part representations in the extrastriate and fusiform body areas. J. Neurophysiol. 2007, 98:1626-1633.
135. Thayaparan K., Crossland M.D., Rubin G.S. Clinical assessment of two new contrast sensitivity charts. Br. J. Ophthalmol. 2007, 91:749-752.
136. Tricomi E.M., Delgado M.R., Fiez J.A. Modulation of caudate activity by action contingency. Neuron 2004, 41:281-292.
137. Tucholka A., Fritsch V., Poline J.B., Thirion B. An empirical comparison of surface-based and volume-based group studies in neuroimaging. NeuroImage 2012, 63:1443-1453.
138. Ugurbil K., Xu J., Auerbach E.J., Moeller S., Vu A., Duarte-Carvajalino J., Lenglet C., Wu X., Schmitter S., Van de Moortele P.F., Strupp J., Sapiro G., De Martino F., Wang D., Harel N., Garwood M., Chen L., Feinberg D.A., Smith S.A., Miller K.L., Sotriopoulos S.N., Jbadbi S., Andersson J.L., Behrens T.J., Glasser M.F., Van Essen D.C., Yacoub E. Pushing spatial and temporal resolution for functional and diffusion weighted imaging in the Human Connectome Project. NeuroImage 2013, 80:80-104. for the WU-Minn HCP Consortium, (this issue, Special Issue "Mapping the Connectome").
139. van den Heuvel M.P., Sporns O. Rich-club organization of the human connectome. J. Neurosci. 2011, 31:15775-15786.
140. van den Heuvel M.P., Stam C.J., Kahn R.S., Hulshoff Pol H.E. Efficiency of functional brain networks and intellectual performance. J. Neurosci. 2009, 29:7619-7624.
141. Van Essen D.C., Ugurbil K., Auerbach E., Barch D., Behrens T.E., Bucholz R., Chang A., Chen L., Corbetta M., Curtiss S.W., Della Penna S., Feinberg D., Glasser M.F., Harel N., Heath A.C., Larson-Prior L., Marcus D., Michalareas G., Moeller S., Oostenveld R., Petersen S.E., Prior F., Schlaggar B.L., Smith S.M., Snyder A.Z., Xu J., Yacoub E. The Human Connectome Project: a data acquisition perspective. NeuroImage 2012, 62(4):2222-2231.
142. Van Essen D., Smith S.M., Barch D.M., Behrens T.E., Yacoub E., Ugurbil K. The WU-Minn Human Connectome Project: an overview. NeuroImage 2013, 80:62-79. for the WU-Minn HCP Consortium, (this issue, Special Issue "Mapping the Connectome").
143. Vissers M.E., Cohen M.X., Geurts H.M. Brain connectivity and high functioning autism: a promising path of research that needs refined models, methodological convergence, and stronger behavioral links. Neurosci. Biobehav. Rev. 2012, 36:604-625.
144. Warnking J., Dojat M., Guerin-Dugue A., Delon-Martin C., Olympieff S., Richard N., Chehikian A., Segebarth C. fMRI retinotopic mapping-step by step. NeuroImage 2002, 17:1665-1683.
145. Wendelken C., Nakhabenko D., Donohue S.E., Carter C.S., Bunge S.A. "Brain is to thought as stomach is to ??": investigating the role of rostrolateral prefrontal cortex in relational reasoning. J. Cogn. Neurosci. 2008, 20:682-693.
146. Wheatley T., Milleville S.C., Martin A. Understanding animate agents: distinct roles for the social network and mirror system. Psychol. Sci. 2007, 18:469-474.
147. White S.J., Coniston D., Rogers R., Frith U. Developing the Frith-Happe animations: a quick and objective test of Theory of Mind for adults with autism. Autism Res. 2011, 4:149-154.
148. Whitfield-Gabrieli S., Ford J.M. Default mode network activity and connectivity in psychopathology. Annu. Rev. Clin. Psychol. 2012, 8:49-76.
149. Wierenga C.E., Perlstein W.M., Benjamin M., Leonard C.M., Rothi L.G., Conway T., Cato M.A., Gopinath K., Briggs R., Crosson B. Neural substrates of object identification: functional magnetic resonance imaging evidence that category and visual attribute contribute to semantic knowledge. J. Int. Neuropsychol. Soc. 2009, 15:169-181.
150. Woolrich M.W., Ripley B.D., Brady M., Smith S.M. Temporal autocorrelation in univariate linear modeling of FMRI data. NeuroImage 2001, 14:1370-1386.
151. Worbe Y., Malherbe C., Hartmann A., Pelegrini-Issac M., Messe A., Vidailhet M., Lehericy S., Benali H. Functional immaturity of cortico-basal ganglia networks in Gilles de la Tourette syndrome. Brain 2012, 135:1937-1946.
152. Yeo B.T., Krienen F.M., Sepulcre J., Sabuncu M.R., Lashkari D., Hollinshead M., Roffman J.L., Smoller J.W., Zollei L., Polimeni J.R., Fischl B., Liu H., Buckner R.L. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 2011, 106:1125-1165.
153. Zuo X.N., Kelly C., Di Martino A., Mennes M., Margulies D.S., Bangaru S., Grzadzinski R., Evans A.C., Zang Y.F., Castellanos F.X., Milham M.P. Growing together and growing apart: regional and sex differences in the lifespan developmental trajectories of functional homotopy. J. Neurosci. 2010, 30:15034-15043.