Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI

REFERENCES

1. 1.↵
   2. Lehéricy S,
   3. Duffau H,
   4. Cornu P, et al

   . Correspondence between functional magnetic resonance imaging somatotopy and individual brain anatomy of the central region: comparison with intraoperative stimulation in patients with brain tumors. J Neurosurg 2000;92:589–98 doi:10.3171/jns.2000.92.4.0589 pmid:10761647

   CrossRefPubMedWeb of Science
2. 2.↵
   2. Petrella JR,
   3. Shah LM,
   4. Harris KM, et al

   . Preoperative functional MR imaging localization of language and motor areas: effect on therapeutic decision making in patients with potentially resectable brain tumors. Radiology 2006;240:793–802 doi:10.1148/radiol.2403051153 pmid:16857981

   CrossRefPubMed
3. 3.↵
   2. Vlieger EJ,
   3. Majoie CB,
   4. Leenstra S, et al

   . Functional magnetic resonance imaging for neurosurgical planning in neurooncology. Eur Radiol 2004;14:1143–53 doi:10.1007/s00330-004-2328-y pmid:15148622

   CrossRefPubMed
4. 4.↵
   2. Ogawa S,
   3. Menon RS,
   4. Tank DW, et al

   . Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging: a comparison of signal characteristics with a biophysical model. Biophys J 1993;64:803–12 doi:10.1016/S0006-3495(93)81441-3 pmid:8386018

   CrossRefPubMedWeb of Science
5. 5.↵
   2. Shimony JS,
   3. Zhang D,
   4. Johnston JM, et al

   . Resting-state spontaneous fluctuations in brain activity: a new paradigm for presurgical planning using fMRI. Acad Radiol 2009;16:578–83 doi:10.1016/j.acra.2009.02.001 pmid:19345899

   CrossRefPubMedWeb of Science
6. 6.↵
   2. Sair HI,
   3. Yahyavi-Firouz-Abadi N,
   4. Calhoun VD, et al

   . Presurgical brain mapping of the language network in patients with brain tumors using resting-state fMRI: comparison with task fMRI. Hum Brain Mapp 2016;37:913–23 doi:10.1002/hbm.23075 pmid:26663615

   CrossRefPubMed
7. 7.↵
   2. Smith SM,
   3. Fox PT,
   4. Miller KL, et al

   . Correspondence of the brain's functional architecture during activation and rest. Proc Natl Acad Sci U S A 2009;106:13040–45 doi:10.1073/pnas.0905267106 pmid:19620724

   Abstract/FREE Full Text
8. 8.↵
   2. Larson-Prior LJ,
   3. Zempel JM,
   4. Nolan TS, et al

   . Cortical network functional connectivity in the descent to sleep. Proc Natl Acad Sci U S A 2009;106:4489–94 doi:10.1073/pnas.0900924106 pmid:19255447

   Abstract/FREE Full Text
9. 9.↵
   2. Mhuircheartaigh RN,
   3. Rosenorn-Lanng D,
   4. Wise R, et al

   . Cortical and subcortical connectivity changes during decreasing levels of consciousness in humans: a functional magnetic resonance imaging study using propofol. J Neurosci 2010;30:9095–102 doi:10.1523/JNEUROSCI.5516-09.2010 pmid:20610743

   Abstract/FREE Full Text
10. 10.↵
    2. Zhang D,
    3. Johnston JM,
    4. Fox MD, et al

    . Preoperative sensorimotor mapping in brain tumor patients using spontaneous fluctuations in neuronal activity imaged with functional magnetic resonance imaging: initial experience. Neurosurgery 2009;65(6 suppl):226–36 pmid:19934999

    PubMedWeb of Science
11. 11.↵
    2. Rosazza C,
    3. Aquino D,
    4. D'Incerti L, et al

    . Preoperative mapping of the sensorimotor cortex: comparative assessment of task-based and resting-state FMRI. PLoS One 2014;9:e98860 doi:10.1371/journal.pone.0098860 pmid:24914775

    CrossRefPubMed
12. 12.↵
    2. Kokkonen SM,
    3. Nikkinen J,
    4. Remes J, et al

    . Preoperative localization of the sensorimotor area using independent component analysis of resting-state fMRI. Magn Reson Imaging 2009;27:733–40 doi:10.1016/j.mri.2008.11.002 pmid:19110394

    CrossRefPubMed
13. 13.↵
    2. Tie Y,
    3. Rigolo L,
    4. Norton IH, et al

    . Defining language networks from resting-state fMRI for surgical planning: a feasibility study. Hum Brain Mapp 2014;35:1018–30 doi:10.1002/hbm.22231 pmid:23288627

    CrossRefPubMedWeb of Science
14. 14.↵
    2. Kristo G,
    3. Rutten GJ,
    4. Raemaekers M, et al

    . Task and task-free FMRI reproducibility comparison for motor network identification. Hum Brain Mapp 2014;35:340–52 doi:10.1002/hbm.22180 pmid:22987751

    CrossRefPubMed
15. 15.↵
    2. Hou BL,
    3. Bhatia S,
    4. Carpenter JS

    . Quantitative comparisons on hand motor functional areas determined by resting state and task BOLD fMRI and anatomical MRI for pre-surgical planning of patients with brain tumors. Neuroimage Clin 2016;11:378–87 doi:10.1016/j.nicl.2016.03.003 pmid:27069871

    CrossRefPubMed
16. 16.↵
    2. Schneider FC,
    3. Pailler M,
    4. Faillenot I, et al

    . Presurgical assessment of the sensorimotor cortex using resting-state fMRI. AJNR Am J Neuroradiol 2016;37:101–07 doi:10.3174/ajnr.A4472 pmid:26381564

    Abstract/FREE Full Text
17. 17.↵
    2. Zacà D,
    3. Jovicich J,
    4. Nadar SR, et al

    . Cerebrovascular reactivity mapping in patients with low grade gliomas undergoing presurgical sensorimotor mapping with BOLD fMRI. J Magn Reson Imaging 2014;40:383–90 doi:10.1002/jmri.24406 pmid:24338845

    CrossRefPubMed
18. 18.↵
    2. Voyvodic JT

    . Reproducibility of single-subject fMRI language mapping with AMPLE normalization. J Magn Reson Imaging 2012;36:569–80 doi:10.1002/jmri.23686 pmid:22581466

    CrossRefPubMed
19. 19.↵
    2. Mazaika PK

    . Methods and software for fMRI analysis of clinical subjects. Neuroimage 2009;47:S58 doi:10.1016/S1053-8119(09)70238-1

    CrossRef
20. 20.↵
    2. Behzadi Y,
    3. Restom K,
    4. Liau J, et al

    . A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage 2007;37:90–101 doi:10.1016/j.neuroimage.2007.04.042 pmid:17560126

    CrossRefPubMedWeb of Science
21. 21.↵
    2. Himberg J,
    3. Hyvärinen A,
    4. Esposito F

    . Validating the independent components of neuroimaging time series via clustering and visualization. Neuroimage 2004;22:1214–22 doi:10.1016/j.neuroimage.2004.03.027 pmid:15219593

    CrossRefPubMedWeb of Science
22. 22.↵
    2. Branco P,
    3. Seixas D,
    4. Deprez S, et al

    . Resting-state functional magnetic resonance imaging for language preoperative planning. Front Hum Neurosci 2016;10:11 doi:10.3389/fnhum.2016.00011 pmid:4740781

    CrossRefPubMed
23. 23.↵
    2. Qiu T,
    3. Yan C,
    4. Tang W, et al

    . Localizing hand motor area using resting-state fMRI: validated with direct cortical stimulation. Acta Neurochir (Wien) 2014;156:2295–302 doi:10.1007/s00701-014-2236-0 pmid:25246146

    CrossRefPubMed
24. 24.↵
    2. Liu H

    . Task-free presurgical mapping using functional magnetic resonance imaging intrinsic activity. J Neurosurg 2009;111:746–54 doi:10.3171/2008.10.JNS08846 pmid:19361264

    CrossRefPubMed
25. 25.↵
    2. Mitchell TJ,
    3. Hacker CD,
    4. Breshears JD, et al

    . A novel data-driven approach to preoperative mapping of functional cortex using resting-state functional magnetic resonance imaging. Neurosurgery 2013;73:969–82; discussion 982–83 doi:10.1227/NEU.0000000000000141 pmid:24264234

    CrossRefPubMed
26. 26.↵
    2. Li YO,
    3. Adali T,
    4. Calhoun VD

    . Estimating the number of independent components for functional magnetic resonance imaging data. Hum Brain Mapp 2007;28:1251–66 doi:10.1002/hbm.20359 pmid:17274023

    CrossRefPubMedWeb of Science
27. 27.↵
    2. Birn RM,
    3. Molloy EK,
    4. Patriat R, et al

    . The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage 2013;83:550–58 doi:10.1016/j.neuroimage.2013.05.099 pmid:23747458

    CrossRefPubMedWeb of Science
28. 28.↵
    2. Agarwal S,
    3. Sair HI,
    4. Yahyavi-Firouz-Abadi N, et al

    . Neurovascular uncoupling in resting state fMRI demonstrated in patients with primary brain gliomas. J Magn Reson Imaging 2016;43:620–26 doi:10.1002/jmri.25012 pmid:26201672

    CrossRefPubMed
29. 29.↵
    2. Wang Z,
    3. Liu J,
    4. Zhong N, et al

    . Changes in the brain intrinsic organization in both on-task state and post-task resting state. Neuroimage 2012;62:394–407 doi:10.1016/j.neuroimage.2012.04.051 pmid:22569542

    CrossRefPubMed
30. 30.↵
    2. Tagliazucchi E,
    3. Laufs H

    . Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep. Neuron 2014;82:695–708 doi:10.1016/j.neuron.2014.03.020 pmid:24811386

    CrossRefPubMed