Effects of vibratory stimulation-induced kinesthetic illusions on the neural activities of patients with stroke

Takayuki Kodama, Hideki Nakano, Hironori Ohsugi, Shin Murata, Takayuki Kodama, Hideki Nakano, Hironori Ohsugi, Shin Murata

Abstract

[Purpose] This study evaluated the influence of vibratory stimulation-induced kinesthetic illusion on brain function after stroke. [Subjects] Twelve healthy individuals and 13 stroke patients without motor or sensory loss participated. [Methods] Electroencephalograms were taken at rest and during vibratory stimulation. As a neurophysiological index of brain function, we measured the μ-rhythm, which is present mainly in the kinesthetic cortex and is attenuated by movement or motor imagery and compared the data using source localization analyses in the Standardized Low Resolution Brain Electromagnetic Tomography (sLORETA) program. [Results] At rest, μ-rhythms appeared in the sensorimotor and supplementary motor cortices in both healthy controls and stroke patients. Under vibratory stimulation, no μ-rhythm appeared in the sensorimotor cortex of either group. Moreover, in the supplementary motor area, which stores the motor imagery required for kinesthetic illusions, the μ-rhythms of patients were significantly stronger than those of the controls, although the μ-rhythms of both groups were reduced. Thus, differences in neural activity in the supplementary motor area were apparent between the subject groups. [Conclusion] Kinesthetic illusions do occur in patients with motor deficits due to stroke. The neural basis of the supplementary motor area in stroke patients may be functionally different from that found in healthy controls.

Keywords: Kinesthetic illusion; Stroke; Supplementary motor area.

Figures

Fig.1.
Fig.1.
Neural activity in the μ-wave range at rest. a: Healthy group. b: Patient group. Areas of the brain where the μ- and α-waves significantly increased are indicated in yellow and red. c: Comparison of the neural activities of the healthy and patient groups. Areas of the brain where the μ- and α-waves significantly increased compared to the patient group are indicated in yellow and red. Color scale values below the images indicate t-values (t = 2.288)
Fig. 2.
Fig. 2.
Neural activity in the μ-wave range during vibratory stimulation. a: Neural activity in the μ-wave range of the healthy group. b: Neural activity in the μ-wave range of the patient group. Brain areas where the μ- and α-waves significantly increased are indicated in yellow and red.. c: Comparison of the neural activities of the healthy and patient groups. Areas of brain where the μ- and α-waves significantly increased in the healthy group compared to the patient group are indicated in yellow and red, and areas of the brain where the μ- and α-waves significantly increased in the patient group compared to the healthy group are indicated in light blue and blue. Color scale values below the images indicate t-values (t = 2.264)

References

    1. Goodwin GM, McCloskey DI, Matthews PB: The contribution of muscle afferents to kinaesthesia shown by vibration induced illusions of movement and by the effects of paralysing joint afferents. Brain, 1972, 95: 705–748.
    1. Naito E, Roland PE, Ehrsson HH: I feel my hand moving: a new role of the primary motor cortex in somatic perception of limb movement. Neuron, 2002, 36: 979–988.
    1. Imai R, Hayashida K, Nakano H, et al. : Brain activity associated with the illusion of motion evoked by different vibration stimulation devices: An fNIRS Study. J Phys Ther Sci, 2014, 26: 1115–1119.
    1. Schaechter JD, Perdue KL: Enhanced cortical activation in the contralesional hemisphere of chronic stroke patients in response to motor skill challenge. Cereb Cortex, 2008, 18: 638–647.
    1. Ramachandran VS, Rogers-Ramachandran D, Cobb S: Touching the phantom limb. Nature, 1995, 377: 489–490.
    1. Park JY, Chang M, Kim KM, et al. : The effect of mirror therapy on upper-extremity function and activities of daily living in stroke patients. J Phys Ther Sci, 2015, 27: 1681–1683.
    1. Altschuler EL, Wisdom SB, Stone L, et al. : Rehabilitation of hemiparesis after stroke with a mirror. Lancet, 1999, 353: 2035–2036.
    1. Dohle C, Püllen J, Nakaten A, et al. : Mirror therapy promotes recovery from severe hemiparesis: a randomized controlled trial. Neurorehabil Neural Repair, 2009, 23: 209–217.
    1. Hagura N, Takei T, Hirose S, et al. : Activity in the posterior parietal cortex mediates visual dominance over kinesthesia. J Neurosci, 2007, 27: 7047–7053.
    1. Naito E, Ehrsson HH, Geyer S, et al. : Illusory arm movements activate cortical motor areas: a positron emission tomography study. J Neurosci, 1999, 19: 6134–6144.
    1. Casini L, Romaiguère P, Ducorps A, et al. : Cortical correlates of illusory hand movement perception in humans: a MEG study. Brain Res, 2006, 1121: 200–206.
    1. Harada T, Saito DN, Kashikura K, et al. : Asymmetrical neural substrates of tactile discrimination in humans: a functional magnetic resonance imaging study. J Neurosci, 2004, 24: 7524–7530.
    1. Bae SH, Jeong WS, Kim KY: Effects of mirror therapy on subacute stroke patients’ brain waves and upper extremity functions. J Phys Ther Sci, 2012, 24: 1119–1122.
    1. Dornhege G, Benjamin B, Matthias K, et al. : Optimizing spatio-temporal filters for improving brain−computer interfacing. Adv Neural Inf Process Syst, 2005, 18: 315–322.
    1. Kim SS, Lee BH: Measuring cerebral hemodynamic changes during action observation with functional transcranial doppler. J Phys Ther Sci, 2015, 27: 1379–1381.
    1. Llanos C, Rodriguez M, Rodriguez-Sabate C, et al. : Mu-rhythm changes during the planning of motor and motor imagery actions. Neuropsychologia, 2013, 51: 1019–1026.
    1. Aoki Y, Ishii R, Pascual-Marqui RD, et al. : Detection of EEG-resting state independent networks by eLORETA-ICA method. Front Hum Neurosci, 2015, 9: 31.
    1. Evans N, Blanke O: Shared electrophysiology mechanisms of body ownership and motor imagery. Neuroimage, 2013, 64: 216–228.
    1. Oldfield RC: The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia, 1971, 9: 97–113.
    1. Naito E, Nakashima T, Kito T, et al. : Human limb-specific and non-limb-specific brain representations during kinesthetic illusory movements of the upper and lower extremities. Eur J Neurosci, 2007, 25: 3476–3487.
    1. Burke D, Hagbarth KE, Löfstedt L, et al. : The responses of human muscle spindle endings to vibration during isometric contraction. J Physiol, 1976, 261: 695–711.
    1. Pascual-Marqui RD: Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol, 2002, 24: 5–12.
    1. Collins DL, Holmes CJ, Peters TK, et al. : Automatic 3-D model-based neuroanatomical segmentation. Hum Brain Mapp, 1995, 3: 190–208.
    1. Pascual-Marqui RD: Instantaneous and lagged measurements of linear and nonlinear dependence between groups of multivariate time series: frequency decomposition. 2007, arXiv:0711.1455.
    1. Pfurtscheller G: Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest. Electroencephalogr Clin Neurophysiol, 1992, 83: 62–69.
    1. Han D: Development of a brain index for dementia diagnosis using quantitative EEG analysis. J Phys Ther Sci, 2013, 25: 497–500.
    1. Lee B, Han D: Comparative analysis of brain activation between healthy elderly women and healthy adult women. J Phys Ther Sci, 2012, 23: 875–878.
    1. Dubovik S, Pignat JM, Ptak R, et al. : The behavioral significance of coherent resting-state oscillations after stroke. Neuroimage, 2012, 61: 249–257.
    1. Dubovik S, Ptak R, Aboulafia T, et al. : EEG alpha band synchrony predicts cognitive and motor performance in patients with ischemic stroke. Behav Neurol, 2013, 26: 187–189.
    1. Andersen P, Eccles J: Inhibitory phasing of neuronal discharge. Nature, 1962, 196: 645–647.
    1. Hong JH, Jang SH: Neural network related to hand movement: a combined study of diffusion tensor tractography and functional MRI. J Phys Ther Sci, 2011, 23: 97–101.
    1. Matsuda T, Watanabe S, Kuruma H, et al. : A comparison of three bimanual coordinations: an fMRI study. J Phys Ther Sci, 2009, 21: 85–92.
    1. Kuhlman WN: Functional topography of the human mu rhythm. Electroencephalogr Clin Neurophysiol, 1978, 44: 83–93.
    1. Tanji J, Okano K, Sato KC: Neuronal activity in cortical motor areas related to ipsilateral, contralateral, and bilateral digit movements of the monkey. J Neurophysiol, 1988, 60: 325–343.
    1. Tecchio F, Zappasodi F, Pasqualetti P, et al. : Rhythmic brain activity at rest from rolandic areas in acute mono-hemispheric stroke: a magnetoencephalographic study. Neuroimage, 2005, 28: 72–83.
    1. Boussaoud D: Attention versus intention in the primate premotor cortex. Neuroimage, 2001, 14: S40–S45.
    1. Chung GH, Han YM, Jeong SH, et al. : Functional heterogeneity of the supplementary motor area. AJNR Am J Neuroradiol, 2005, 26: 1819–1823.
    1. Van de Winckel A, Sunaert S, Wenderoth N, et al. : Passive somatosensory discrimination tasks in healthy volunteers: differential networks involved in familiar versus unfamiliar shape and length discrimination. Neuroimage, 2005, 26: 441–453.

Source: PubMed

Sponsors et collaborateurs

Les conditions médicales

Interventions en matière de drogue

3
S'abonner