High-resolution functional connectivity density: Hub locations, sensitivity, specificity, reproducibility, and reliability

Cerebral Cortex

Volumn 26, Issue 7, 2016, Pages 3249-3259

  Tomasi, Dardo ^a   Shokri Kojori, Ehsan ^a   Volkow, Nora D ^a,b  

^a NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM   (United States)

^b Natonal Institute on Drug Abuse   (United States)

Author keywords

Aging; FCDM; Global signal regression; Motion; Multiband; Physiologic noise; Resting state

Indexed keywords

ADULT; ARTICLE; BRAIN REGION; CONNECTIVITY DENSITY; CONNECTOME; FEMALE; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; MALE; MEASUREMENT ACCURACY; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RELIABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; WHITE MATTER; BRAIN; DIAGNOSTIC IMAGING; NERVE TRACT; PHYSIOLOGY; PROCEDURES; REST; STATISTICAL MODEL;

ADULT; BRAIN; CONNECTOME; FEMALE; GRAY MATTER; HUMANS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; REPRODUCIBILITY OF RESULTS; REST; SENSITIVITY AND SPECIFICITY;

EID: 84981229323     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bhv171     Document Type: Article

References (73)

1. Achard S, Salvador R, Whitcher B, Suckling J, Bullmore E. 2006. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci. 26:63-72.
2. Anteraper S, Whitfield-Gabrieli S, Keil B, Shannon S, Gabrieli J, Triantafyllou C. 2013. Exploring functional connectivity networks with multichannel brain array coils. Brain Connect. 3:302-315.
3. Barabasi A, Albert R. 1999. Emergence of scaling in random networks. Science. 286:509-512.
4. Bassett D, Bullmore E, Verchinski B, Mattay V, Weinberger D, Meyer-Lindenberg A. 2008. Hierarchical organization of human cortical networks in health and schizophrenia. J Neurosci. 28:9239-9248.
5. Beu M, Baudrexel S, Hautzel H, Antke C, Mueller H-W. 2009. Neural traffic as voxel-based measure of cerebral functional connectivity in fMRI. J Neurosci Methods. 176:263-269.
6. Birn R, Diamond J, Smith M, Bandettini P. 2006. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. Neuroimage. 31:1536-1548.
7. Birn R, Molloy E, Patriat R, Parker T, Meier T, Kirk G, Nair V, Meyerand M, Prabhakaran V. 2013. The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage. 83:550-558.
8. Birn R, Murphy K, Bandettini P. 2008. The effect of respiration variations on independent component analysis results of resting state functional connectivity. Hum Brain Mapp. 29:740-750.
9. Biswal B, Mennes M, Zuo X, Gohel S, Kelly C, Smith S, Beckmann C, Adelstein J, Buckner R, Colcombe S, et al. 2010. Toward discovery science of human brain function. Proc Natl Acad Sci USA. 107:4734-4739.
10. Biswal B, Yetkin F, Haughton V, Hyde J. 1995. Functional connectivity in the motor cortex of resting human brain using echoplanar MRI. Magn Reson Med. 34:537-541.
11. Blanken L, Mous S, Ghassabian A, Muetzel R, Schoemaker N, El Marroun H, van der Lugt A, Jaddoe V, Hofman A, Verhulst F, et al. 2015. Cortical morphology in 6-to 10-year old children with autistic traits: a population-based neuroimaging study. Am J Phychiatry. doi:10. 1176/appi. ajp. 2014. 14040482.
12. Bonifazi P, Goldin M, Picardo M, Jorquera I, Cattani A, Bianconi G, Represa A, Ben-Ari Y, Cossart R. 2009. GABAergic hub neurons orchestrate synchrony in developing hippocampal networks. Science. 326:1419-1424.
13. Braun U, Plichta M, Esslinger C, Sauer C, Haddad L, Grimm O, Mier D, Mohnke S, Heinz A, Erk S, et al. 2012. Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures. Neuroimage. 59:1404-1412.
14. Buckner R, Sepulcre J, Talukdar T, Krienen F, Liu H, Hedden T, Andrews-Hanna J, Sperling R, Johnson K. 2009. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J Neurosci. 29:1860-1873.
15. Bullmore E, Sporns O. 2009. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 10:186-198.
16. Caeyenberghs K, Siugzdaite R, Drijkoningen D, Marinazzo D, Swinnen S. 2014. Functional connectivity density and balance in young patients with traumatic axonal injury. Brain Connect. [Epub ahead of print].
17. Carandini M, Shimaoka D, Rossi L, Sato T, Benucci A, Knöpfel T. 2015. Imaging the awake visual cortex with a genetically encoded voltage indicator. J Neurosci. 35:53-63.
18. Chai X, Castañón A, Ongür D, Whitfield-Gabrieli S. 2012. Anticorrelations in resting state networks without global signal regression. Neuroimage. 59:1420-1428.
19. Changeux J. 1997. Neuronal man. New Jersey: Princeton University Press.
20. Cohen A, Fair D, Dosenbach N, Miezin F, Dierker D, Van Essen D, Schlaggar B, Petersen S. 2008. Defining functional areas in individual human brains using resting functional connectivity MRI. Neuroimage. 41:45-57.
21. Crossley N, Mechelli A, Scott J, Carletti F, Fox P, McGuire P, Bullmore E. 2014. The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain. 137:2382-2395.
22. Ding J, An D, LiaoW, WuG, Xu Q, Zhou D, Chen H. 2014. Abnormal functional connectivity density in psychogenic non-epileptic seizures. Epilepsy Res. 108:1184-1194.
23. Glasser M, Sotiropoulos S, Wilson J, Coalson T, Fischl B, Andersson J, Xu J, Jbabdi S, Webster M, Polimeni J, et al. 2013. The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage. 80:105-124.
24. Guo C, Kurth F, Zhou J, Mayer E, Eickhoff S, Kramer J, Seeley W. 2012. One-year test-retest reliability of intrinsic connectivity network fMRI in older adults. Neuroimage. 61:1471-1483.
25. He Y, Chen Z, Evans A. 2008. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease. J Neurosci. 28:4756-4766.
26. Kelly A, Margulies D, Castellanos F. 2007. Recent advances in structural and functional brain imaging studies of attention-deficit/hyperactivity disorder. Curr Psychiatry Rep. 9:401-407.
27. Konova A, Moeller S, Tomasi D, Goldstein R. 2015. Effects of chronic and acute stimulants on brain functional connectivity hubs. Brain Res. doi:10. 1016/j. brainres. 2015. 1002. 1002.
28. Lang X, Liu H, QinW, Zhang Y, Xuan Y, Yu C. 2015. Brain functional connectivity density and individual fluid reasoning capacity in healthy young adults. Neuroreport. 26:17-21.
29. Lei X, Wang Y, Yuan H, Mantini D. 2014. Neuronal oscillations and functional interactions between resting state networks. Hum Brain Mapp. 35:3517-3528.
30. Li N, van Zijl P, Thakor N, Pelled G. 2014. Study of the spatial correlation between neuronal activity and BOLD fMRI responses evoked by sensory and channelrhodopsin-2 stimulation in the rat somatosensory cortex. J Mol Neurosci. 53:553-561.
31. Liu B, Fan L, Cui Y, Zhang X, Hou B, Li Y, Qin W, Wang D, Yu C, Jiang T. 2015. DiSC1 Ser704Cys impacts thalamic-prefrontal connectivity. Brain Struct Funct. 220:91-100.
32. Logothetis N. 2002. The neural basis of the blood-oxygen-leveldependent functional magnetic resonance imaging signal. Philos Trans R Soc Lond B Biol Sci. 357:1003-1037.
33. Logothetis N, Pauls J, Augath M, Trinath T, Oeltermann A. 2001. Neurophysiological investigation of the basis of the fMRI signal. Nature. 412:150-157.
34. Lu H, Wang L, ReaW, Brynildsen J, Jaime S, Zuo Y, Stein E, Yang Y. 2016. Low-but not high-frequency LFP correlates with spontaneous BOLD fluctuations in rat whisker barrel cortex. Cereb Cortex. 26:683-694.
35. Menon R. 2002. Postacquisition suppression of large-vessel BOLD signals in high-resolution fMRI. Magn Reson Med. 47:1-9.
36. Murphy K, Birn R, Handwerker D, Jones T, Bandettini P. 2009. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage. 44:893-905.
37. Power J, Barnes K, SnyderA, Schlaggar B, PetersenS. 2012. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage. 59:2142-2154.
38. QinW, Xuan Y, Liu Y, Jiang T, Yu C. 2015. Functional connectivity density in congenitally and late blind subjects. Cereb Cortex. 25:2507-2516.
39. Raichle M, Gusnard D. 2002. Appraising the brain's energy budget. Proc Natl Acad Sci USA. 99:10237-10239.
40. Saad Z, Gotts S, Murphy K, Chen G, Jo H, Martin A, Cox R. 2012. Trouble at rest: how correlation patterns and group differences become distorted after global signal regression. Brain Connect. 2:25-32.
41. Salimi-Khorshidi G, Douaud G, Beckmann C, Glasser M, Griffanti L, Smith S. 2014. Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers. Neuroimage. 90:449-468.
42. Schölvinck M, Maier A, Ye F, Duyn J, Leopold D. 2010. Neural basis of global resting-state fMRI activity. Proc Natl Acad Sci USA. 107:10238-10243.
43. Sheline Y, Raichle M. 2013. Resting state functional connectivity in preclinical Alzheimer's disease. Biol Psychiatry. 74:340-347.
44. Shmuel A, Leopold D. 2008. Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: implications for functional connectivity at rest. Hum Brain Mapp. 29:751-761.
45. Shrout P, Fleiss J. 1979. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 86:420-428.
46. Siero J, Hermes D, Hoogduin H, Luijten P, Ramsey N, Petridou N. 2014. BOLDmatches neuronal activity at themmscale: a combined 7T fMRI and ECoG study in human sensorimotor cortex. Neuroimage. 101:177-184.
47. Smith S, Beckmann C, Andersson J, Auerbach E, Bijsterbosch J, Douaud G, Duff E, Feinberg D, Griffanti L, Harms M, et al. 2013. Resting-state fMRI in the Human Connectome Project. Neuroimage. 80:144-168.
48. Stam C. 2004. Functional connectivity patterns of human magnetoencephalographic recordings: a "small-world" network? Neurosci Lett. 355:25-28.
49. Supekar K, Musen M, Menon V. 2009. Development of large-scale functional brain networks in children. PLoS Biol. 7:e1000157.
50. Tian T, Qin W, Liu B, Jiang T, Yu C. 2013. Functional connectivity in healthy subjects is nonlinearly modulated by the COMT and DRD2 polymorphisms in a functional system-dependent manner. J Neurosci. 33:17519-17526.
51. Tomasi D, Volkow N. 2010. Functional connectivity density mapping. Proc Natl Acad Sci USA. 107:9885-9890.
52. Tomasi D, Volkow N. 2011a. Association between functional connectivity hubs and brain networks. Cereb Cortex. 21:2003-2013.
53. Tomasi D, Volkow N. 2011b. Functional connectivity hubs in the human brain. Neuroimage. 57:908-917.
54. Tomasi D, VolkowN. 2011c. Gender differences in brain functional connectivity density. Hum Brain Mapp. 33:849-860.
55. Tomasi D, Volkow N. 2011d. Laterality patterns of brain functional connectivity: gender effects. Cereb Cortex. 22:1455-1462.
56. Tomasi D, Volkow N. 2012a. Abnormal functional connectivity in children with attention-deficit/hyperactivity disorder. Biol Psychiatry. 71:443-450.
57. Tomasi D, VolkowN. 2012b. Aging and functional brain networks. Mol Psychiatry. 17:549-558.
58. Tomasi D, Volkow N. 2014. Mapping small-world properties through development in the human brain: disruption in schizophrenia. PLoS ONE. 9:e96176.
59. Tomasi D, Wang G, Volkow N. 2013. Energetic cost of brain functional connectivity. Proc Natl Acad Sci USA. 110:13642-13647.
60. Tomasi D, Wang R, Wang G, Volkow N. 2014. Functional connectivity and brain activation: a synergistic approach. Cereb Cortex. 24:2619-2629.
61. Turner R. 2002. How much cortex can a vein drain? Downstream dilution of activation-related cerebral blood oxygenation changes. Neuroimage. 16:1062-1067.
62. Ug?urbil K, Xu J, Auerbach E, Moeller S, Vu A, Duarte-Carvajalino J, Lenglet C, Wu X, Schmitter S, Van de Moortele P, et al. 2013. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. Neuroimage. 80:80-104.
63. van den Heuvel M, Sporns O, Collin G, Scheewe T, Mandl R, Cahn W, Goñi J, Hulshoff Pol H, Kahn R. 2013. Abnormal rich club organization and functional brain dynamics in schizophrenia. JAMA Psychiatry. 70:783-792.
64. van den Heuvel M, Stam C, Boersma M, Hulshoff Pol H. 2008. Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain. Neuroimage. 43:528-539.
65. Van Dijk K, Hedden T, Venkataraman A, Evans K, Lazar S, Buckner R. 2010. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J Neurophysiol. 103:297-321.
66. Van Essen D, Ugurbil K, Auerbach E, Barch D, Behrens T, Bucholz R, Chang A, Chen L, Corbetta M, Curtiss S, et al. 2012. The Human Connectome Project: a data acquisition perspective. Neuroimage. 62:2222-2231.
67. Wang J, QinW, Liu B, Wang D, Zhang Y, Jiang T, Yu C. 2013. Variant in OXTR gene and functional connectivity of the hypothalamus in normal subjects. Neuroimage. 81:199-204.
68. Wang X, Jiao Y, Tang T, Wang H, Lu Z. 2013. Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: a test-retest reliability study. Neuroscience. 254:404-426.
69. Watts D, Strogatz S. 1998. Collective dynamics of "small-world" networks. Nature. 393:440-442.
70. Wong C, Olafsson V, Tal O, Liu T. 2012. Anti-correlated networks, global signal regression, and the effects of caffeine in restingstate functional MRI. Neuroimage. 63:356-364.
71. Yang Z, Zuo X, Wang P, Li Z, LaConte S, Bandettini P, Hu X. 2012. Generalized RAICAR: discover homogeneous subject (sub) groups by reproducibility of their intrinsic connectivity networks. Neuroimage. 63:403-414.
72. Zhuo C, Zhu J, QinW, Qu H, Ma X, Tian H, Xu Q, Yu C. 2014. Functional connectivity density alterations in schizophrenia. Front Behav Neurosci. 8:404.
73. Zuo X, Kelly C, Adelstein J, Klein D, Castellanos F, Milham M. 2010. Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach. Neuroimage. 49:2163-2177.