Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives

NeuroImage

Volumn 122, Issue , 2015, Pages 399-407

  Shine, James M ^a,b   Koyejo, Oluwasanmi ^b   Bell, Peter T ^a   Gorgolewski, Krzysztof J ^b   Gilat, Moran ^a   Poldrack, Russell A ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BILATERAL DORSOLATERAL PREFRONTAL CORTEX; BILATERAL VENTRAL OCCIPITAL CORTEX; BOLD SIGNAL; BRAIN REGION; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; CORRELATION COEFFICIENT; FRONTOPARIETAL CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; INTERMETHOD COMPARISON; MULTIPLICATION OF TEMPORAL DERIVATIVES; NOISE; POSTERIOR PARIETAL CORTEX; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SIMULATION; SLIDING WINDOW PEARSONS CORRELATION COEFFICIENT; STATISTICAL ANALYSIS; VENTRAL OCCIPITAL CORTEX; BRAIN; BRAIN MAPPING; HUMAN; IMAGE PROCESSING; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING;

BRAIN; BRAIN MAPPING; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NERVE NET; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84940528665     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.07.064     Document Type: Article

References (50)

1. Achard S., Salvador R., Whitcher B., Suckling J., Bullmore E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 2006, 26(1):63-72.
2. Allen E.A., Damaraju E., Plis S.M., Erhardt E.B., Eichele T., Calhoun V.D. Tracking whole-brain connectivity dynamics in the resting state. Cereb. Cortex 2014, 24:663-676. 10.1093/cercor/bhs352.
3. Axmacher N., Schmitz D.P., Wagner T., Elger C.E., Fell J. Interactions between medial temporal lobe, prefrontal cortex, and inferior temporal regions during visual working memory: a combined intracranial EEG and functional magnetic resonance imaging study. J. Neurosci. 2008, 28:7304-7312. 10.1523/JNEUROSCI.1778-08.2008.
4. Barch D.M., Burgess G.C., Harms M.P., Petersen S.E., Schlaggar B.L., Corbetta M., Glasser M.F., Curtiss S., Dixit S., Feldt C., Nolan D., Bryant E., Hartley T., Footer O., Bjork J.M., Poldrack R., Smith S., Johansen-Berg H., Snyder A.Z., Van Essen D.C., WU-Minn HCP Consortium Function in the human connectome: task-fMRI and individual differences in behavior. NeuroImage 2013, 80:169-189. 10.1016/j.neuroimage.2013.05.033.
5. Baum L.E., Petrie T. Statistical inference for probabilistic functions of finite state Markov chains. Ann. Math. Stat. 1966, 37:1554-1563.
6. Bell A.H., Hadj-Bouziane F., Frihauf J.B., Tootell R.B.H., Ungerleider L.G. Object representations in the temporal cortex of monkeys and humans as revealed by functional magnetic resonance imaging. J. Neurophysiol. 2009, 101:688-700. 10.1152/jn.90657.2008.
7. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198. 10.1038/nrn2575.
8. Buxton, Wong, Frank Dynamics of blood flow and oxygenation change during brain activation: The balloon model. Magn. Reson. Med. 1998, 39:855-864.
9. Calhoun V.D., Miller R., Pearlson G., Adali T. The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron 2014, 84:262-274.
10. Chang C., Glover G.H. Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage 2010, 50:81-98. 10.1016/j.neuroimage.2009.12.011.
11. Chen J.E., Chang C., Greicius M.D., Glover G.H. Introducing co-activation pattern metrics to quantify spontaneous brain network dynamics. NeuroImage 2015, (e-pub ahead of print).
12. Cribben I., Haraldsdottir R., Atlas L.Y., Wager T.D., Lindquist M.A. Dynamic connectivity regression: determining state-related changes in brain connectivity. NeuroImage 2012, 61(4):907-920.
13. Damaraju E., Allen E.A., Belger A., Ford J.M., McEwen S., Mathalon D.H., Mueller B.A., Pearlson G.D., Potkin S.G., Preda A., Turner J.A., Vaidya J.G., van Erp T.G., Calhoun V.D. Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage: Clin. 2014, 5:298-308. 10.1016/j.nicl.2014.07.003.
14. Friston K.J. Functional and effective connectivity in neuroimaging: A synthesis. Hum. Brain Mapp. 1994, 2:56-78.
15. Friston K.J., Ungerleider L.G., Jezzard P., Turner R. Characterizing modulatory interactions between areas V1 and V2 in human cortex: a new treatment of functional MRI data. Hum. Brain Mapp. 1994, 2:211-224. 10.1002/hbm.460020403.
16. Friston K.J., Buechel C., Fink G.R., Morris J., Rolls E., Dolan R.J. Psychophysiological and modulatory interactions in neuroimaging. NeuroImage 1997, 6:218-229. 10.1006/nimg.1997.0291.
17. Friston K.J., Li B., Daunizeau J., Stephan K.E. Network discovery with DCM. NeuroImage 2011, 56(3):1202-1221.
18. Gazzaley A., Nobre A.C. Top-down modulation: bridging selective attention and working memory. Trends Cogn. Sci. 2012, 16:129-135. 10.1016/j.tics.2011.11.014.
19. Glasser M.F., Sotiropoulos S.N., Wilson J.A., Coalson T.S., Fischl B., Andersson J.L., Xu J., Jbabdi 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. 10.1016/j.neuroimage.2013.04.127.
20. Gordon E.M., Laumann T.O., Adeyemo B., Huckins J.F., Kelley W.M., Petersen S.E. Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. Cereb. Cortex 2014, (e-pub ahead of print).
21. Gorgolewski K.J., Lurie D., Urchs S., Kipping J.A., Craddock R.C., Milham M.P., Margulies D.S., Smallwood J. A correspondence between individual differences in the brain's intrinsic functional architecture and the content and form of self-generated thoughts. PLoS ONE 2014, 9:e97176. 10.1371/journal.pone.0097176.
22. Handwerker D.A., Roopchansingh V., Gonzalez-Castillo J., Bandettini P.A. Periodic changes in fMRI connectivity. NeuroImage 2012, 63:1712-1719. 10.1016/j.neuroimage.2012.06.078.
23. Hutchison R.M., Womelsdorf T., Gati J.S., Everling S., Menon R.S. Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques. Hum. Brain Mapp. 2012, 34:2154-2177. 10.1002/hbm.22058.
24. Hutchison R.M., Womelsdorf T., Allen E.A., Bandettini P.A., Calhoun V.D., Corbetta M., Penna, Della S., Duyn J.H., Glover G.H., Gonzalez-Castillo J., Handwerker D.A., Keilholz S., Kiviniemi V., Leopold D.A., de Pasquale F., Sporns O., Walter M., Chang C. Dynamic functional connectivity: promise, issues, and interpretations. NeuroImage 2013, 80:360-378. 10.1016/j.neuroimage.2013.05.079.
25. Jones D.T., Vemuri P., Murphy M.C., Gunter J.L., Senjem M.L., Machulda M.M., Przybelski S.A., Gregg B.E., Kantarci K., Knopman D.S., Boeve B.F., Petersen R.C., Jack C.R. Non-stationarity in the "resting brain's" modular architecture. PLoS ONE 2012, 7:e39731. 10.1371/journal.pone.0039731.
26. Kiviniemi V., Vire T., Remes J., Elseoud A.A., Starck T., Tervonen O., Nikkinen J. A sliding time-window ICA reveals spatial variability of the default mode network in time. Brain Connect. 2011, 1:339-347. 10.1089/brain.2011.0036.
27. Kriegeskorte N., Formisano E., Sorger B., Goebel R. Individual faces elicit distinct response patterns in human anterior temporal cortex. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:20600-20605. 10.1073/pnas.0705654104.
28. Kriegeskorte N., Mur M., Ruff D.A., Kiani R., Bodurka J., Esteky H., Tanaka K., Bandettini P.A. Matching categorical object representations in inferior temporal cortex of man and monkey. Neuron 2008, 60:1126. 10.1016/j.neuron.2008.10.043.
29. Leonardi N., Van De Ville D. On spurious and real fluctuations of dynamic functional connectivity during rest. NeuroImage 2015, 104:430-436.
30. Leonardi N., Richiardi J., Gschwind M., Simioni S., Annoni J.M., Schluep M., Vuilleumier P., Van De Ville D. Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest. NeuroImage 2013, 83:937-950.
31. Leonardi N., Shirer W., Greicius M., Van De Ville D. Disentangling dynamic networks: separated and joint expressions of functional connectivity patterns in time. Hum. Brain Mapp. 2014, 35:5984-5995.
32. Lindquist M.A., Waugh C., Wager T.D. Modeling state-related fMRI activity using change-point theory. NeuroImage 2007, 35(3):1125-1141.
33. Lindquist M.A., Xu Y., Nebel M.B., Caffo B.S. Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approach. NeuroImage 2014, 101:531-546.
34. Liu X., Duyn J.H. Time-varying functional network information extracted from brief instances of spontaneous brain activity. Proc. Natl. Acad. Sci. U. S. A. 2013, 110:4392-4397. 10.1073/pnas.1216856110.
35. Magnuson M., Majeed W., Keilholz S.D. Functional connectivity in blood oxygenation level-dependent and cerebral blood volume-weighted resting state functional magnetic resonance imaging in the rat brain. J. Magn. Reson. Imaging 2010, 32:584-592. 10.1002/jmri.22295.
36. Majeed W., Magnuson M., Hasenkamp W., Schwarb H., Schumacher E.H., Barsalou L., Keilholz S.D. Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans. NeuroImage 2011, 54:1140-1150. 10.1016/j.neuroimage.2010.08.030.
37. Mumford J.A., Poldrack R.A. Modeling group fMRI data. Soc. Cogn. Affect. Neurosci. 2007, 2:251-257. 10.1093/scan/nsm019.
38. 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. 10.1016/j.neuroimage.2011.10.018.
39. Ranganath C., D'Esposito M. Directing the mind's eye: prefrontal, inferior and medial temporal mechanisms for visual working memory. Curr. Opin. Neurobiol. 2005, 15:175-182. 10.1016/j.conb.2005.03.017.
40. Robinson L.F., Atlas L.Y., Wager T.D. Dynamic functional connectivity using state-based dynamic community structure: method and application to opioid analgesia. NeuroImage 2014, 10.1016/j.neuroimage.2014.12.034.
41. Sakoğlu U., Pearlson G.D., Kiehl K.A., Wang Y.M., Michael A.M., Calhoun V.D. A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia. MAGMA 2010, 23:351-366. 10.1007/s10334-010-0197-8.
42. Shine J.M., Matar E., Ward P.B., Frank M.J., Moustafa A.A., Pearson M., Naismith S.L., Lewis S.J.G. Freezing of gait in Parkinson's disease is associated with functional decoupling between the cognitive control network and the basal ganglia. Brain 2013, 136:3671-3681. 10.1093/brain/awt272.
43. Smith S.M., Miller K.L., Salimi-Khorshidi G., Webster M. Network modelling methods for FMRI. NeuroImage 2011, 54(2):875-891.
44. Smith S.M., Miller K.L., Moeller S., Xu J., Auerbach E.J., Woolrich M.W., Beckmann C.F., Jenkinson M., Andersson J., Glasser M.F., Van Essen D.C., Feinberg D.A., Yacoub E.S., Ugurbil K. Temporally-independent functional modes of spontaneous brain activity. Proc. Natl. Acad. Sci. 2012, 109:3131-3136. 10.1073/pnas.1121329109.
45. Tagliazucchi E., Balenzuela P., Fraiman D., Chialvo D.R. Criticality in large-scale brain FMRI dynamics unveiled by a novel point process analysis. Front. Physiol. 2012, 3:15. 10.3389/fphys.2012.00015.
46. Yang Z., Craddock R.C., Margulies D.S., Yan C.-G., Milham M.P. Common intrinsic connectivity states among posteromedial cortex subdivisions: insights from analysis of temporal dynamics. NeuroImage 2014, 93(Pt 1):124-137. 10.1016/j.neuroimage.2014.02.014.
47. Yarkoni T., Poldrack R.A., Nichols T.E., Van Essen D.C., Wager T.D. Large-scale automated synthesis of human functional neuroimaging data. Nat. Methods 2011, 8:665-670. 10.1038/nmeth.1635.
48. Zalesky A., Breakspear M. Toward a statistical test for functional connectivity dynamics. NeuroImage 2015, 114:466-470.
49. Zalesky A., Fornito A., Cocchi L., Gollo L.L., Breakspear M. Time-resolved resting-state brain networks. Proc. Natl. Acad. Sci. 2014, 111:10341-10346. 10.1073/pnas.1400181111.
50. Zanto T.P., Rubens M.T., Thangavel A., Gazzaley A. Causal role of the prefrontal cortex in top-down modulation of visual processing and working memory. Nat. Neurosci. 2011, 14:656-661. 10.1038/nn.2773.