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Open Access 01-12-2019 | Dysphagia | Original Article

Effects of Motor Imagery and Visual Neurofeedback on Activation in the Swallowing Network: A Real-Time fMRI Study

Authors: Silvia Erika Kober, Doris Grössinger, Guilherme Wood

Published in: Dysphagia | Issue 6/2019

Abstract

Motor imagery of movements is used as mental strategy in neurofeedback applications to gain voluntary control over activity in motor areas of the brain. In the present functional magnetic resonance imaging (fMRI) study, we first addressed the question whether motor imagery and execution of swallowing activate comparable brain areas, which has been already proven for hand and foot movements. Prior near-infrared spectroscopy (NIRS) studies provide evidence that this is the case in the outer layer of the cortex. With the present fMRI study, we want to expand these prior NIRS findings to the whole brain. Second, we used motor imagery of swallowing as mental strategy during visual neurofeedback to investigate whether one can learn to modulate voluntarily activity in brain regions, which are associated with active swallowing, using real-time fMRI. Eleven healthy adults performed one offline session, in which they executed swallowing movements and imagined swallowing on command during fMRI scanning. Based on this functional localizer task, we identified brain areas active during both tasks and defined individually regions for feedback. During the second session, participants performed two real-time fMRI neurofeedback runs (each run comprised 10 motor imagery trials), in which they should increase voluntarily the activity in the left precentral gyrus by means of motor imagery of swallowing while receiving visual feedback (the visual feedback depicted one’s own fMRI signal changes in real-time). Motor execution and imagery of swallowing activated a comparable network of brain areas including the bilateral pre- and postcentral gyrus, inferior frontal gyrus, basal ganglia, insula, SMA, and the cerebellum compared to a resting condition. During neurofeedback training, participants were able to increase the activity in the feedback region (left lateral precentral gyrus) but also in other brain regions, which are generally active during swallowing, compared to the motor imagery offline task. Our results indicate that motor imagery of swallowing is an adequate mental strategy to activate the swallowing network of the whole brain, which might be useful for future treatments of swallowing disorders.

Ertekin C. Voluntary versus spontaneous swallowing in man. Dysphagia. 2011;26(2):183–92. https://doi.org/10.1007/s00455-010-9319-8.CrossRefPubMed

Hamdy S, Rothwell JC, Aziz Q, et al. Organization and reorganization of human swallowing motor cortex: implications for recovery after stroke. Clin Sci. 2000;98:151–7.CrossRef

Martin REGBG, Gati JS, Menon RS. Cerebral cortical representation of automatic and volitional swallowing in humans. J Neurophysiol. 2001;85:938–50.CrossRef

Sörös P, Inamoto Y, Martin RE. Functional brain imaging of swallowing: an activation likelihood estimation meta-analysis. Hum Brain Map. 2009;30(8):2426–39. https://doi.org/10.1002/hbm.20680.CrossRef

Hamdy S, Rothwell JC, Brook DJ, et al. Identification of the cerebral loci processing human swallowing with H2 15O PET activation. J Neurophysiol. 1999;81:1917–26.CrossRef

Hamdy S, Mikulis DJ, Crawley A, et al. Cortical activation during human volitional swallowing: an event related fMRI study. Am J Physiol Gastrointest Liver Physiol. 1999;277:219–25.CrossRef

Humbert IA, Robbins J. Normal swallowing and functional magnetic resonance imaging: a systematic review. Dysphagia. 2007;22(3):266–75. https://doi.org/10.1007/s00455-007-9080-9.CrossRefPubMedPubMedCentral

Bours GJJW, Speyer R, Lemmens J, et al. Bedside screening tests vs. videofluoroscopy or fibre optic endoscopic evaluation of swallowing to detect dysphagia in patients with neurological disorders: systematic review. J Adv Nurs. 2009;65(3):477–93. https://doi.org/10.1111/j.1365-2648.2008.04915.x.CrossRefPubMed

Ekberg O, Hamdy SWV, Wuttge-Hannig A, et al. Social and psychological burden of dysphagia: its impact on diagnosis and treatment. Dysphagia. 2002;17:139–46.CrossRef

10.

Eslick GD, Talley NJ. Dysphagia: epidemiology, risk factors and impact on quality of life–a population-based study. Aliment Pharmacol Ther. 2008;27(10):971–9. https://doi.org/10.1111/j.1365-2036.2008.03664.x.CrossRefPubMed

11.

Locke GR, Talley NJ, Fett SL, et al. Prevalence and clinical spectrum of gastroesophageal reflux: a population-based study in Olmsted County, Minnesota. Gastroenterology. 1997;112(5):1448–56.CrossRef

12.

Wilkins T, Gillies RA, Thomas AM, et al. The prevalence of dysphagia in primary care patients: a HamesNet Research Network Study. J Am Board Fam Med. 2007;20(2):144–50. https://doi.org/10.3122/jabfm.2007.02.060045.CrossRefPubMed

13.

Bath PMW, Bath FJ, Smithard DG. Interventions for dysphagia in acute stroke. The Cochrane Library 1. 2002.

14.

Haider C, Zauner H, Gehringer-Manakamatas N, et al. Neurogenic dysphagia: nutrition therapy improves rehabilitation. J für Ernährungsmedizin. 2008;10(3):6–11.

15.

Ashford J, McCabe D, Wheeler-Hegland K, et al. Evidence-based systematic review: oropharyngeal dysphagia behavioral treatments Part III–impact of dysphagia treatments on populations with neurological disorders. J Rehabil Res Dev. 2009;46(2):195–204.CrossRef

16.

Gruzelier JH. EEG-neurofeedback for optimising performance. II: creativity, the performing arts and ecological validity. Neurosci Biobehav Rev. 2013. https://doi.org/10.1016/j.neubiorev.2013.11.004.CrossRefPubMed

17.

Enriquez-Geppert S, Huster RJ, Herrmann CS. EEG-neurofeedback as a tool to modulate cognition and behavior: a review tutorial. Front Hum Neurosci. 2017;11:51. https://doi.org/10.3389/fnhum.2017.00051.CrossRefPubMedPubMedCentral

18.

Humbert IA, Joel S. Tactile, gustatory, and visual biofeedback stimuli modulate neural substrates of deglutition. NeuroImage. 2012;59(2):1485–90. https://doi.org/10.1016/j.neuroimage.2011.08.022.CrossRefPubMed

19.

Peck KK, Branski RC, Lazarus CL, et al. Cortical activation during swallowing rehabilitation maneuvers: a functional MRI study of healthy controls. Laryngoscope. 2010;120:2153–9.CrossRef

20.

Crary MA, Carnaby Mann GD, Groher ME, et al. Functional benefits of dysphagia therapy using adjunctive sEMG biofeedback. Dysphagia. 2004;19(3):160–4. https://doi.org/10.1007/s00455-004-0003-8.CrossRefPubMed

21.

Felix VN, Correa SMA, Soares RJ. A therapeutic maneuver for oropharyngeal dysphagia in patients with Parkinson’s disease. Clinics (Sao Paulo). 2008;63(5):661–6.CrossRef

22.

Reddy NP, Simcox DL, Gupta V, et al. Biofeedback therapy using accelerometry for treating dysphagic patients with poor laryngeal elevation: case studies. J Rehabil Res Dev. 2000;37(3):361–72.PubMed

23.

Kahrilas PJ, Logemann JA, Krugler C, et al. Volitional augmentation of upper esophageal sphincter opening during swallowing. Am J Physiol. 1991;260(3 Pt 1):G450–6. https://doi.org/10.1152/ajpgi.1991.260.3.G450.CrossRefPubMed

24.

Ding R, Logemann JA, Larson CR, et al. The effects of taste and consistency on swallow physiology in younger and older healthy individuals: a surface electromyographic study. J Speech Lang Hear Res. 2003;46(4):977–89.CrossRef

25.

Mihara M, Hattori N, Hatakenaka M, et al. Near-infrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims: a pilot study. Stroke. 2013;44(4):1091–8. https://doi.org/10.1161/STROKEAHA.111.674507.CrossRefPubMed

26.

Gentili R, Han CE, Schweighofer N, et al. Motor learning without doing: trial-by-trial improvement in motor performance during mental training. J Neurophysiol. 2010;104(2):774–83. https://doi.org/10.1152/jn.00257.2010.CrossRefPubMed

27.

Yágüez L, Nagel D, Hoffmann H, et al. A mental route to motor learning: improving trajectorial kinematics through imagery training. Behav Brain Res. 1998;90:95–106.CrossRef

28.

Mulder T, Zijlstra S, Zijlstra W, et al. The role of motor imagery in learning a totally novel movement. Exp Brain Res. 2004;154(2):211–7. https://doi.org/10.1007/s00221-003-1647-6.CrossRefPubMed

29.

Liew S-L, Rana M, Cornelsen S, et al. Improving motor corticothalamic communication after stroke using real-time fMRI connectivity-based neurofeedback. Neurorehabil Neural Repair. 2016;30(7):671–5. https://doi.org/10.1177/1545968315619699.CrossRefPubMed

30.

Goebel R, Zilverstand A, Sorger B. Real-time fMRI-based brain–computer interfacing for neurofeedback therapy and compensation of lost motor functions. Imaging in Med. 2010;2(4):407–15. https://doi.org/10.2217/iim.10.35.CrossRef

31.

Watanabe T, Sasaki Y, Shibata K, et al. Advances in fMRI real-time neurofeedback. Trends Cogn Sci (Regul Ed). 2017;21(12):997–1010. https://doi.org/10.1016/j.tics.2017.09.010.CrossRef

32.

Sitaram R, Caria A, Veit R, et al. fMRI brain-computer interface: a tool for neuroscientific research and treatment. Comput Intell Neurosci. 2007;2007:1–10. https://doi.org/10.1155/2007/25487.CrossRef

33.

Sitaram R, Ros T, Stoeckel L, et al. Closed-loop brain training: the science of neurofeedback. Nat Rev Neurosci. 2017;18(2):86–100. https://doi.org/10.1038/nrn.2016.164.CrossRefPubMed

34.

Linden DEJ, Turner DL. Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation. Curr Opin Neurol. 2016;29(4):412–8. https://doi.org/10.1097/WCO.0000000000000340.CrossRefPubMedPubMedCentral

35.

Kober SE, Wood G, Kurzmann J, et al. Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback. Biol Psychol. 2014;95:21–30. https://doi.org/10.1016/j.biopsycho.2013.05.005.CrossRefPubMed

36.

Pfurtscheller G, Neuper C. Motor imagery activates primary sensorimotor area in humans. Neurosci Lett. 1997;239(2–3):65–8. https://doi.org/10.1016/S0304-3940(97)00889-6.CrossRefPubMed

37.

Weiskopf N. Real-time fMRI and its application to neurofeedback. NeuroImage. 2012;62(2):682–92. https://doi.org/10.1016/j.neuroimage.2011.10.009.CrossRefPubMed

38.

Wriessnegger SC, Kurzmann J, Neuper C. Spatio-temporal differences in brain oxygenation between movement execution and imagery: a multichannel near-infrared spectroscopy study. Int J Psychophysiol. 2008;67(1):54–63. https://doi.org/10.1016/j.ijpsycho.2007.10.004.CrossRefPubMed

39.

Faralli A, Bigoni M, Mauro A, et al. Noninvasive strategies to promote functional recovery after stroke. Neural Plast. 2013;12:1–16. https://doi.org/10.1155/2013/854597.CrossRef

40.

Hardwick RM, Caspers S, Eickhoff SB, et al. Neural correlates of motor imagery, action observation, and movement execution: a comparison across quantitative meta-analyses. BioRxiv. 2017. https://doi.org/10.1101/1984.CrossRef

41.

Lorey B, Naumann T, Pilgramm S, et al. How equivalent are the action execution, imagery, and observation of intransitive movements? Revisiting the concept of somatotopy during action simulation. Brain Cogn. 2013;81(1):139–50. https://doi.org/10.1016/j.bandc.2012.09.011.CrossRefPubMed

42.

Sulzer J, Haller S, Scharnowski F, et al. Real-time fMRI neurofeedback: progress and challenges. NeuroImage. 2013;76:386–99. https://doi.org/10.1016/j.neuroimage.2013.03.033.CrossRefPubMedPubMedCentral

43.

Langmore SE. Evaluation of oropharyngeal dysphagia: which diagnostic tool is superior? Curr Opin Otolaryngol Head Neck Surg. 2003;11(6):485–9.CrossRef

44.

Kober SE, Bauernfeind G, Woller C, et al. Hemodynamic signal changes accompanying execution and imagery of swallowing in patients with dysphagia: a multiple single-case near-infrared spectroscopy study. Front Neurol. 2015;6:1–10. https://doi.org/10.3389/fneur.2015.00151.CrossRef

45.

Kober SE, Gressenberger B, Kurzmann J, et al. Voluntary modulation of hemodynamic responses in swallowing related motor areas: a near-infrared spectroscopy based neurofeedback study. PLoS ONE. 2015;10(11):1–17.CrossRef

46.

Kober SE, Wood G. Changes in hemodynamic signals accompanying motor imagery and motor execution of swallowing: a near-infrared spectroscopy study. NeuroImage. 2014;93:1–10. https://doi.org/10.1016/j.neuroimage.2014.02.019.CrossRefPubMed

47.

Kober SE, Wood G. How to exercise by imagining movements. Front Young Minds. 2017;5:247. https://doi.org/10.3389/frym.2017.00042.CrossRef

48.

Ninaus M, Witte M, Kober SE, et al. Neurofeedback and Serious Games. In: Connolly TM, Hainey T, Boyle E, et al., editors. Psychology, pedagogy, and assessment in serious games. Pennsylvania: IGI Global; 2014. p. 82–110.CrossRef

49.

Naseer N, Hong K-S. fNIRS-based brain-computer interfaces: a review. Front Hum Neurosci. 2015;9:3. https://doi.org/10.3389/fnhum.2015.00003.CrossRefPubMedPubMedCentral

50.

Neuper C, Scherer R, Reiner M, et al. Imagery of motor actions: differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEG. Cognit Brain Res. 2005;25(3):668–77. https://doi.org/10.1016/j.cogbrainres.2005.08.014.CrossRef

51.

Penny WD, Friston KJ, Ashburner JT, et al. Statistical parametric mapping: the analysis of functional brain images. Cambridge: Academic Press; 2011.

52.

Brett M, Anton J-L, Valabregue R et al. Region of interest analysis using an SPM toolbox. Presented at the 8th International Conference on Functional Mapping of the Human Brain, June 2–6, 2002, Sendai, Japan. Available on CD-ROM in NeuroImage, Vol 16(2):1. 2002

53.

Hamdy S, Aziz Q, Rothwell JC, et al. The cortical topography of human swallowing musculature in health and disease. Nature Med. 1996;2:1217–24.CrossRef

54.

Mosier K, Patel R, Liu WC, et al. Cortical representation of swallowing in normal adults: functional implications. Laryngoscope. 1999;109(9):1417–23. https://doi.org/10.1097/00005537-199909000-00011.CrossRefPubMed

55.

Mosier KM, Liu WC, Maldjian JA, et al. Lateralization of cortical function in swallowing: a functional MR imaging study. AJNR Am J Neuroradiol. 1999;20:1520–6.PubMed

56.

Hodge CJ, Huckins SC, Szeverenyi NM, et al. Patterns of lateral sensory cortical activation determined using functional magnetic resonance imaging. J Neurosurg. 1998;89(5):769–79. https://doi.org/10.3171/jns.1998.89.5.0769.CrossRefPubMed

57.

Augustine JR. Circuitry and functional aspects of the insular lobe in primates including humans. Brain Res Brain Res Rev. 1996;22(3):229–44.CrossRef

58.

Ertekin C, Aydogdu I. Neurophysiology of swallowing. Clin Neurophysiol. 2003;114(12):2226–44. https://doi.org/10.1016/S1388-2457(03)00237-2.CrossRefPubMed

59.

Kobayakawa T, Endo H, Ayabe-Kanamura S, et al. The primary gustatory area in human cerebral cortex studied by magnetoencephalography. Neurosci Lett. 1996;212(3):155–8. https://doi.org/10.1016/0304-3940(96)12798-1.CrossRefPubMed

60.

Daniels SK, Foundas AL. The role of the insular cortex in dysphagia. Dysphagia. 1997;12(3):146–56.CrossRef

61.

Khedr EM, Abo-Elfetoh N. Noninvasive brain stimulation for treatment of post-stroke dysphagia. Neuroenterology. 2013;2:1–9. https://doi.org/10.4303/ne/235663.CrossRef

62.

Dum RP, Strick PL. Motor areas in the frontal lobe of the primate. Physiol Behav. 2002;77(4–5):677–82.CrossRef

63.

Roland PE, Larsen B, Lassen NA, et al. Supplementary motor area and other cortical areas in organization of voluntary movements in man. J Neurophysiol. 1980;43(1):118–36. https://doi.org/10.1152/jn.1980.43.1.118.CrossRefPubMed

64.

Martin RE, MacIntosh BJ, Smith RC, et al. Cerebral areas processing swallowing and tongue movement are overlapping but distinct: a functional magnetic resonance imaging study. J Neurophysiol. 2004;92(4):2428–43. https://doi.org/10.1152/jn.01144.2003.CrossRefPubMed

65.

Schell GR, Strick PL. The origin of thalamic inputs to the arcuate premotor and supplementary motor areas. J Neurosci. 1984;4(2):539–60.CrossRef

66.

Wiesendanger R, Wiesendanger M. The thalamic connections with medial area 6 (supplementary motor cortex) in the monkey (macaca fascicularis). Exp Brain Res. 1985;59(1):91–104.PubMed

67.

Mosier K, Bereznaya I. Parallel cortical networks for volitional control of swallowing in humans. Exp Brain Res. 2001;140(3):280–9.CrossRef

68.

Zald DH, Pardo JV. The functional neuroanatomy of voluntary swallowing. Ann Neurol. 1999;46(3):281–6.CrossRef

69.

Onozuka M, Fujita M, Watanabe K, et al. Mapping brain region activity during chewing: a functional magnetic resonance imaging study. J Dent Res. 2002;81(11):743–6. https://doi.org/10.1177/0810743.CrossRefPubMed

70.

Grodd W, Hulsmann E, Lotze M, et al. Sensorimotor mapping of the human cerebellum: fMRI evidence of somatotopic organization. Hum Brain Mapp. 2001;13(2):55–73.CrossRef

71.

Dresel C, Castrop F, Haslinger B, et al. The functional neuroanatomy of coordinated orofacial movements: sparse sampling fMRI of whistling. NeuroImage. 2005;28(3):588–97. https://doi.org/10.1016/j.neuroimage.2005.06.021.CrossRefPubMed

72.

Sörös P, Sokoloff LG, Bose A, et al. Clustered functional MRI of overt speech production. NeuroImage. 2006;32(1):376–87. https://doi.org/10.1016/j.neuroimage.2006.02.046.CrossRefPubMed

73.

Wolpert DM, Miall RC, Kawato M. Internal models in the cerebellum. Trends Cognit Sci. 1998;2(9):338–47.CrossRef

74.

West RA, Larson CR. Neurons of the anterior mesial cortex related to faciovocal activity in the awake monkey. J Neurophysiol. 1995;74(5):1856–69. https://doi.org/10.1152/jn.1995.74.5.1856.CrossRefPubMed

75.

Rizzolatti G, Luppino G, Matelli M. The organization of the cortical motor system: new concepts. Electroencephalogr Clin Neurophysiol. 1998;106(4):283–96.CrossRef

76.

Wood G, Kober SE, Witte M, et al. On the need to better specify the concept of “control” in brain-computer-interfaces/neurofeedback research. Front Syst Neurosc. 2014;8:171. https://doi.org/10.3389/fnsys.2014.00171.CrossRef

77.

Craig ADB. How do you feel—now? The anterior insula and human awareness. Nat Rev Neurosci. 2009;10(1):59–70. https://doi.org/10.1038/nrn2555.CrossRefPubMed

78.

Emmert K, Kopel R, Sulzer J, et al. Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: how is brain regulation mediated? NeuroImage. 2016;124:806–12. https://doi.org/10.1016/j.neuroimage.2015.09.042.CrossRefPubMed

79.

Ninaus M, Kober SE, Witte M, et al. Neural substrates of cognitive control under the belief of getting neurofeedback training. Front Hum Neurosci. 2013;7(914):1–10.

80.

Heatherton TF. Neuroscience of self and self-regulation. Annu Rev Psychol. 2011;62:363–90. https://doi.org/10.1146/annurev.psych.121208.131616.CrossRefPubMedPubMedCentral

81.

Marins TF, Rodrigues EC, Engel A, et al. Enhancing motor network activity using real-time functional MRI neurofeedback of left premotor cortex. Front Behav Neurosci. 2015;9:341. https://doi.org/10.3389/fnbeh.2015.00341.CrossRefPubMedPubMedCentral

82.

Kober SE, Ninaus M, Friedrich EVC, et al. BCI und Games: Playful, experience-oriented learning by vivid feedback? In: Nam CS, Nijholt A, Lotte F, editors. Brain-computer interfaces handbook: technological and theoretical advances. Boca Raton, London, New York: Taylor & Francis Group, CRC Press; 2017.

83.

Sepulveda P, Sitaram R, Rana M, et al. How feedback, motor imagery, and reward influence brain self-regulation using real-time fMRI. Hum Brain Mapp. 2016;37(9):3153–71. https://doi.org/10.1002/hbm.23228.CrossRefPubMed

84.

Kober SE, Witte M, Ninaus M, et al. Learning to modulate one’s own brain activity: the effect of spontaneous mental strategies. Front Hum Neurosci. 2013;7:1–12. https://doi.org/10.3389/fnhum.2013.00695.CrossRef

85.

Berman BD, Horovitz SG, Venkataraman G, et al. Self-modulation of primary motor cortex activity with motor and motor imagery tasks using real-time fMRI-based neurofeedback. NeuroImage. 2012;59(2):917–25. https://doi.org/10.1016/j.neuroimage.2011.07.035.CrossRefPubMed

86.

Zabicki A, de Haas B, Zentgraf K, et al. Imagined and executed actions in the human motor system: testing neural similarity between execution and imagery of actions with a multivariate approach. Cereb Cortex. 2017;27(9):4523–36. https://doi.org/10.1093/cercor/bhw257.CrossRefPubMed

87.

Ninaus M, Kober SE, Witte M, et al. Brain volumetry and self-regulation of brain activity relevant for neurofeedback. Biol Psychol. 2015;110:126–33. https://doi.org/10.1016/j.biopsycho.2015.07.009.CrossRefPubMed

88.

Kober SE, Witte M, Ninaus M, et al. Ability to gain control over one’s own brain activity and its relation to spiritual practice: a multimodal imaging study. Front Hum Neurosci. 2017;11:271. https://doi.org/10.3389/fnhum.2017.00271.CrossRefPubMedPubMedCentral

89.

Allison BZ, Neuper C. Could anyone use a BCI? In: Tan DS, Nijholt A, editors. Brain-computer interfaces: human-computer interaction series. London: Springer-Verlag; 2010. p. 35–54.CrossRef

90.

Witte M, Kober SE, Ninaus M, et al. Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training. Front Hum Neurosci. 2013;7(478):1–8. https://doi.org/10.3389/fnhum.2013.00478.CrossRef

91.

Enriquez-Geppert S, Huster RJ, Scharfenort R, et al. The morphology of midcingulate cortex predicts frontal-midline theta neurofeedback success. Front Hum Neurosci. 2013;7:453. https://doi.org/10.3389/fnhum.2013.00453.CrossRefPubMedPubMedCentral

92.

Halder S, Varkuti B, Bogdan M, et al. Prediction of brain-computer interface aptitude from individual brain structure. Front Hum Neurosci. 2013;7:105. https://doi.org/10.3389/fnhum.2013.00105.CrossRefPubMedPubMedCentral

93.

Reichert JL, Kober SE, Neuper C, et al. Resting-state sensorimotor rhythm (SMR) power predicts the ability to up-regulate SMR in an EEG-instrumental conditioning paradigm. Clin Neurophysiol. 2015;126(11):2068–77. https://doi.org/10.1016/j.clinph.2014.09.032.CrossRefPubMed

94.

Scheinost D, Stoica T, Wasylink S, et al. Resting state functional connectivity predicts neurofeedback response. Front Behav Neurosci. 2014;8:338. https://doi.org/10.3389/fnbeh.2014.00338.CrossRefPubMedPubMedCentral

95.

Humbert IA, Fitzgerald ME, McLaren DG, et al. Neurophysiology of swallowing: effects of age and bolus type. NeuroImage. 2009;44(3):982–91. https://doi.org/10.1016/j.neuroimage.2008.10.012.CrossRefPubMed

96.

Kober SE, Wood G. Hemodynamic signal changes during saliva and water swallowing: a near-infrared spectroscopy study. J Biomed Opt. 2018;23:015009.CrossRef

97.

Kern MK, Jaradeh S, Arndorfe RC, et al. Cerebral cortical representation of reflexive and volitional swallowing in humans. AJP. 2001;280:G354–60.

98.

Martin R, Barr A, MacIntosh B, et al. Cerebral cortical processing of swallowing in older adults. Exp Brain Res. 2007;176(1):12–22. https://doi.org/10.1007/s00221-006-0592-6.CrossRefPubMed

99.

Khedr EM, Abo-Elfetoh N, Rothwell JC. Treatment of post-stroke dysphagia with repetitive transcranial magnetic stimulation. Acta Neurol Scand. 2009;119(3):155–61. https://doi.org/10.1111/j.1600-0404.2008.01093.x.CrossRefPubMed

100.

Simons A, Hamdy S. The use of brain stimulation in dysphagia management. Dysphagia. 2017;32(2):209–15. https://doi.org/10.1007/s00455-017-9789-z.CrossRefPubMedPubMedCentral

101.

Yang H, Ang KK, Wang C, et al. Neural and cortical analysis of swallowing and detection of motor imagery of swallow for dysphagia rehabilitation—a review. Prog Brain Res. 2016;2:5. https://doi.org/10.1016/bs.pbr.2016.03.014.CrossRef

Title: Effects of Motor Imagery and Visual Neurofeedback on Activation in the Swallowing Network: A Real-Time fMRI Study
Authors: Silvia Erika Kober
Doris Grössinger
Guilherme Wood
Publication date: 01-12-2019
Publisher: Springer US
Keywords: Dysphagia
Dysphagia
Dysphagia
Published in: Dysphagia / Issue 6/2019
Print ISSN: 0179-051X
Electronic ISSN: 1432-0460
DOI: https://doi.org/10.1007/s00455-019-09985-w

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Effects of Motor Imagery and Visual Neurofeedback on Activation in the Swallowing Network: A Real-Time fMRI Study

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