Makarov , Valeri A. and Castellanos, Nazareth P. and Malmierca, Eduardo and Nuñez,, Ángel (2007) Corticofugal modulation of the tactile response coherence of projecting neurons in the gracilis nucleus. Journal of Neurophysiology, 98 (5). 2537-2549 . ISSN 0022-3077
Restricted to Repository staff only until 31 December 2020.
Official URL: http://jn.physiology.org/content/98/5/2537.full.pdf+html
Precise and reproducible spike timing is one of the alternatives of the sensory stimulus encoding. We test coherence (repeatability) of the response patterns elicited in projecting gracile neurons by tactile stimulation and its modulation provoked by electrical stimulation of the corticofugal feedback from the somatosensory (SI) cortex. To gain the temporal structure we adopt the wavelet-based approach for quantification of the functional stimulus-neural response coupling. We show that the spontaneous firing patterns (when they exist) are essentially random. Tactile stimulation of the neuron receptive field strongly increases the spectral power in the stimulus and 5- to 15-Hz frequency bands. However, the functional coupling (coherence) between the sensory stimulus and the neural response exhibits ultraslow oscillation (0.07 Hz). During this oscillation the stimulus coherence can temporarily fall below the statistically significant level, i.e., the functional stimulus-response coupling may be temporarily lost for a single neuron. We further demonstrate that electrical stimulation of the SI cortex increases the stimulus coherence for about 60% of cells. We find no significant correlation between the increment of the firing rate and the stimulus coherence, but we show that there is a positive correlation with the amplitude of the peristimulus time histogram. The latter argues that the observed facilitation of the neural response by the corticofugal pathway, at least in part, may be mediated through an appropriate ordering of the stimulus-evoked firing pattern, and the coherence enhancement is more relevant in gracilis nucleus than an increase of the number of spikes elicited by the tactile stimulus.
|Uncontrolled Keywords:||Dorsal column nuclei; Rat cuneate nucleus; Somatosensory cortex; Wavelet coherence; Sensorimotor cortex; Behaving monkeys; Brain signals; Spike trains; Time-series; In-vitro|
|Subjects:||Medical sciences > Veterinary > Animal behavior|
Abeles M, Bergman H, Margalit E, Vaadia E. Spatiotemporal firing patterns in the frontal cortex of behaving monkeys. J Neurophysiol 70: 1629–1638, 1993
Aguilar J, Rivadulla C, Soto C, Canedo A. New corticocuneate cellular mechanisms underlying the modulation of cutaneous ascending transmission in anesthetized cats. J Neurophysiol 89: 3328–3339, 2003.
Alegre M, Labarga A, Gurtubay I, Iriarte J, Malanda A, Artieda J. Movement-related changes in cortical oscillatory activity in ballistic, sustained and negative movements. Exp Brain Res 148: 17–25, 2003.
Baccala´ L, Sameshima K. Partial directed coherence: a new concept in neural structure determination. Biol Cybern 84: 463–474, 2001.
Bair W, Koch C. Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey. Neural Comput 8: 1185–1202, 1996.
Bayram M, Baraniuk R. Multiple window time frequency analysis. Proc IEEE-SP Int Symp Time-Frequency Time-Scale Anal 173–176, 1996.
Brillinger DR. Developments in Statistics: Comparative Aspects of the Study of Ordinary Time Series and of Point Processes. Orlando, FL: Academic Press, 1978, p. 33–129.
Canedo A, Aguilar J. Spatial and cortical influences exerted on cuneothalamic and thalamocortical neurons of the cat. Eur J Neurosci 12: 2515– 2533, 2000.
Castellanos NP, Makarov VA. Recovering EEG brain signals: artifact suppression with wavelet enhanced independent component analysis. J Neurosci Methods 158: 300–312, 2006.
Dahlhaus R, Eichler M, Sandkühler J. Identification of synaptic connections in neural ensembles by graphical models. J Neurosci Methods 77: 93–107, 1997.
DeBiasi S, Vitellaro-Zucarello L, Bernardi P, Valtschanoff JG, Weinberg R. Ultrastructural and immunocytochemical characterization of terminals of postsynaptic ascending dorsal column fibers in the rat cuneate nucleus.J Comp Neurol 353 109-118, 1994.
Goelz H, Jones R, Bones P. Wavelet analysis of transient biomedical signals and its application to detection of epileptiform activity in the EEG. Clin Electroencephalogr 31: 181–191, 2000.
Grinsted A, Moore JC, Jevrejeva S. Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Process Geophys 11: 561–566, 2004.
Jabbur SJ, Towe AL. Analysis of the antidromic cortical response following stimulation at the medullary pyramids. J Physiol 155: 148–160, 1961.
Jarvis MR, Mitra PP. Sampling properties of the spectrum and coherency of sequences of action potentials. Neural Comput 13: 717–749, 2001.
Jen PHS, Zhou X, Zhang J, Sun X. Brief and short-term corticofugal modulation of acoustic signal processing in the bat midbrain. Hear Res 168: 196–207, 2002.
Klein A, Sauer T, Jedynak A, Skrandies W. Conventional and wavelet coherence applied to sensory-evoked electrical brain activity. IEEE Trans Biomed Eng 53: 266–272, 2006.
Korzeniewska A, Manczak M, Kaminski M, Blinowska K, Kasicki S. Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method. J Neurosci Methods 125: 195–207, 2003.
Kuypers HG, Tuerk JD. The distribution of the cortical fibres within the nuclei cuneatus and gracilis in the cat. J Anat 98: 143–162, 1964.
Lachaux JP, Lutz A, Rudrauf D, Cosmelli D, Le Van Quyen M, Martinerie J, Varela FJ. Estimating the time-course of coherence between singletrial brain signals: an introduction to wavelet coherence. Neurophysiol Clin 32: 157-174, 2002.
Le Van Quyen M, Foucher J, Lachaux JP, Rodriguez E, Lutz A, Martinerie J, Varela FJ. Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony. J Neurosci Methods 111: 83–98, 2001.
Li X, Yao X, Fox J, Jefferys JG. Interaction dynamics of neuronal oscillations analysed using wavelet transforms. J Neurosci Methods 160: 178–185, 2007.
Lovett EG, Ropella KM. Time-frequency coherence analysis of atrial fibrillation termination during procainamide administration. Ann Biomed Eng 25: 975–984, 1997.
Lue JH, Jiang-Shieh YF, Shieh JY, Wen CY. The synaptic interrelationships between primary afferent terminals, cuneothalamic relay neurons and GABA-immunoreactive boutons in the rat cuneate nucleus. Neurosci Res 24: 363-371, 1996.
Mainen ZF, Sejnowski TJ. Reliability of spike timing in neocortical neurons. Science 268: 1503–1506, 1995.
Mäkinen VT, May PJC, Tiitinen H. Spectral characterization of ongoing and auditory event-related brain processes. Neurol Clin Neurophysiol 104: 3–7,2004
Mallat S. A Wavelet Tour of Signal Processing. New York: Academic Press, 1999.
Malmierca E, Nuñez A. Corticofugal action on somatosensory response properties of rat nucleus gracilis cells. Brain Res 810: 172–180, 1998.
Malmierca E, Nuñez A. Primary somatosensory cortex modulation of tactile responses in nucleus gracilis cells of rats. Eur J Neurosci 19: 1572–1580, 2004.
Mormann F, Fell J, Axmancher N, Weber B, Lehnertz K, Elger C. Phase/amplitude reset and theta-gamma interaction in the human medial temporal lobe during a continuous word recognition memory task. Hippocampus 15: 890–900, 2005.
Murata A. An attempt to evaluate mental workload using wavelet transform of EEG. Hum Factors 47: 498–508, 2005.
Murthy VN, Fetz EE. Coherent 25- to 35-Hz oscillations in the sensorimotor cortex of awake behaving monkeys. Proc Natl Acad Sci USA 89: 5670– 5674, 1992.
Murthy VN, Fetz EE. Synchronization of neurons during local field potential oscillations in sensorimotor cortex of awake monkeys. J Neurophysiol 76: 3968–3982, 1996.
Nicolelis MAL, Baccala´ LA, Lin RCS, Cahpin JK. Sensorimotor encoding by synchronous neural ensembles activity at multiple levels of the somatosensory system. Science 268: 1353–1358, 1995.
Nuñez A, Buño W. In vitro electrophysiological properties of rat dorsal column nuclei neurons. Eur J Neurosci 11: 1865–1876, 1999.
Nuñez A, Buño W. Properties and plasticity of synaptic inputs to rat dorsal column neurones recorded in vitro. J Physiol 535: 483–495, 2001.
Nuñez A, Panetsos F, Avendaño C. Rhythmic neuronal interactions and synchronization in the rat dorsal column nuclei. Neuroscience 100: 599– 609, 2000.
Panetsos F, Nuñez A, Avendaño C. Electrophysiological effects of temporary differentiation on two characterized cell types in the nucleus gracilis of the rat. Eur J Neurosci 9: 563–572, 1997.
Panetsos F, Nuñez A, Avendaño C. Sensory information processing in the dorsal column nuclei by neuronal oscillators. Neuroscience 84: 635–639, 1998.
Pavlov AN, Makarov VA, Mosekilde E, Sosnovtseva OV. Application of wavelet-based tools to study the dynamics of biological processes. Brief Bioinformatics 7: 375–389, 2006.
Pavlov AN, Tupitsyn AN, Makarov VA, Panetsos F, Moreno A, Garcia- Gonzalez V, Sanchez-Jimenez A. Tactile information processing in the trigeminal complex of the rat. In: Proc SPIE 2007, San Jose, CA. Bellingham, WA: SPIE, 2007.
Percival DP. On estimation of the wavelet variance. Biometrika 82: 619–631, 1995.
Perkel DH, Gerstein GL, Moore GP. Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophys J 7: 419 – 440, 1967.
Quiroga R, Garcia H. Single-trial event-related potentials with wavelet denoising. Clin Neurophysiol 114: 376–390, 2003.
Roy S, Alloway KD. Synchronization of local neural networks in the somatosensory cortex: a comparison of stationary and moving stimuli. J Neurophysiol 81: 999–1013, 1999.
Rustioni A, Weinberg RJ. The somatosensory system. In: Handbook of Chemical Neuroanatomy, edited by Björklund A, Hökfelt T, Swanson LW. Amsterdam: Elsevier, 1989, p. 219–221.
Schiff S, Aldroubi A, Unser M, Sato S. Fast wavelet transformation of EEG. Electroencephalogr Clin Neurophysiol 91: 442–455, 1994.
Schreiber JV, Schmitz A. Surrogate time series. Physica D 142: 646–652, 2000.
Shadlen MN, Newsome WT. The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J Neurosci 18: 3870–3896, 1998.
Sillito AM, Jones HE, Gerstein GL, West DC. Feature-linked synchronization of thalamic relay cell firing induced by feedback from the visual cortex. Nature 369: 479–482, 1994.
Steinmetz PN, Roy A, Fitzgerald PJ, Hsiao SS, Johnson KO, Neibur E. Attention modulates synchronized neuronal firing in primate somatosensory cortex. Nature 404: 187–190, 2000.
Theiler J, Eubank S, Longtin A, Galdrikian B, Farmer D. Testing for nonlinearity in time series: the method of surrogate data. Physica D 58: 77–94, 1992.
Torrence C, Compo GP. A practical guide to wavelet analysis. Bull Am Meteorol Soc 79: 61–78, 1998.
Torrence C, Webster PJ. The annual cycle of persistence in the El Niño— Southern oscillation. Q J Roy Meteor Soc 124: 1985–2004, 1998.
Valverde F. The pyramidal tract in rodents. A study of its relations with the posterior column nuclei, dorsolateral reticular formation of the medulla, and cervical spinal cord (Golgi and E.M. observations). Zeit Zellforsch 71: 297–363, 1966.
Vanhatalo CJM, Palva MD, Holmes JW, Miller J, Voipio K, Kaila A. Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. Proc Natl Acad Sci USA 101: 5053–5057, 2004.
Weinberg RJ, Rustioni A. Brainstem projections to the rat cuneate nucleus. J Comp Neurol 282: 142–156, 1989.
Weisberg JA, Rustioni A. Cortical cells projecting to the dorsal column nuclei of cats. An anatomical study with the horseradish peroxidase technique. J Comp Neurol 168: 425–38, 1976.
Xu Y, Haykin S, Racine RJ. Multiple window time frequency distribution and coherence of EEG using slepian sequences and hermite functions. IEEE Trans Biomed Eng 46: 861–866, 1999.
Yan J, Suga N. Corticofugal modulation of time-domain processing of biosonar information in bats. Science 273: 1100–1103, 1996.
|Deposited On:||09 Oct 2012 09:37|
|Last Modified:||07 Feb 2014 09:33|
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