Log in

Relevant bibliographies by topics / Sensorimotor integration / Journal articles

To see the other types of publications on this topic, follow the link: Sensorimotor integration.

Journal articles on the topic 'Sensorimotor integration'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Sensorimotor integration.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Mates, Jiří, Ulrike Müller, Tomáš Radil, and Ernst Pöppel. "Temporal Integration in Sensorimotor Synchronization." Journal of Cognitive Neuroscience 6, no. 4 (July 1994): 332–40. http://dx.doi.org/10.1162/jocn.1994.6.4.332.

Full text

Abstract:

The concept of a temporal integration process in the timing mechanisms in the brain, postulated on the basis of experimental observations from various paradigms (for a review see P$oUppel, 1978), has been explored in a sensorimotor synchronization task. Subjects synchronized their finger taps to sequences of auditory stimuli with interstimulus-onset intervals (ISIs) between 300 and 4800 msec in different trials. Each tonal sequence consisted of 110 stimuli; the tones had a frequency of 500 Hz and a duration of 100 msec. As observed previously, response onsets preceded onsets of the stimuli by some tens of milliseconcls for ISIs in the range from about 600 to 1800 msec. For ISIs longer than or equal to 2400 msec, the ability to time the response sequence in such a way that the response 5 were placed right ahead of the stimuli started to break clown, i.e., the task was fulfilled by reactions to the stimuli rather than by advanced responses. This observation can he understood within the general framework of a temporal integration puce 55 that is supposed to have a maximal capacity (integration interval) of approximately 3 sec. Only if successive stimuli fall within one integration period, can motor programs be initiated properly by a prior stimulus and thus lead to an appropriate synchronization between the stimulus sequence and corresponding motor acts.

APA, Harvard, Vancouver, ISO, and other styles

2

Batuev, Alexander S. "Cortical Sensorimotor Integration: A Hypothesis." International Journal of Neuroscience 44, no. 1-2 (January 1989): 53–57. http://dx.doi.org/10.3109/00207458908986182.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Körding, Konrad P., and Daniel M. Wolpert. "Bayesian integration in sensorimotor learning." Nature 427, no. 6971 (January 2004): 244–47. http://dx.doi.org/10.1038/nature02169.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Chicoine, Anne‐Josée, Maryse Lassonde, and Luc Proteau. "Developmental aspects of sensorimotor integration." Developmental Neuropsychology 8, no. 4 (January 1992): 381–94. http://dx.doi.org/10.1080/87565649209540533.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Huston, Stephen J., and Vivek Jayaraman. "Studying sensorimotor integration in insects." Current Opinion in Neurobiology 21, no. 4 (August 2011): 527–34. http://dx.doi.org/10.1016/j.conb.2011.05.030.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

DeLong, N. D., and M. P. Nusbaum. "Hormonal Modulation of Sensorimotor Integration." Journal of Neuroscience 30, no. 7 (February 17, 2010): 2418–27. http://dx.doi.org/10.1523/jneurosci.5533-09.2010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Abbruzzese, Giovanni, and Alfredo Berardelli. "Sensorimotor integration in movement disorders." Movement Disorders 18, no. 3 (February 28, 2003): 231–40. http://dx.doi.org/10.1002/mds.10327.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Bologna, Matteo, and Giulia Paparella. "Neurodegeneration and Sensorimotor Function." Brain Sciences 10, no. 11 (November 1, 2020): 808. http://dx.doi.org/10.3390/brainsci10110808.

Full text

Abstract:

Sensorimotor integration is an essential function for both motor control and learning. Over recent decades, a growing body of evidence has emerged in support of the role of altered sensorimotor integration in the pathophysiology of various neurological conditions and movement disorders, particularly bradykinesia, tremor, and dystonia. However, the various causes and mechanisms underlying altered sensorimotor integration in movement disorders are still not entirely understood. The lack of complete insight into the pathophysiological role of altered sensorimotor integration in movement disorders is certainly due to the heterogeneity of movement disorders as well as to the variable occurrence of neurodegenerative phenomena, even in idiopathic movement disorders, which contribute to pathophysiology in a complex and often not easily interpretable way. Clarifying the possible relationship between neurodegenerative phenomena and sensorimotor deficits in movement disorders and other neurological conditions may guide the development of a more detailed disease prognosis and lead, perhaps, to the implementation of novel and individualized therapeutic interventions.

APA, Harvard, Vancouver, ISO, and other styles

9

Miyazaki, Makoto, Daichi Nozaki, and Yasoichi Nakajima. "Testing Bayesian Models of Human Coincidence Timing." Journal of Neurophysiology 94, no. 1 (July 2005): 395–99. http://dx.doi.org/10.1152/jn.01168.2004.

Full text

Abstract:

A sensorimotor control task often requires an accurate estimation of the timing of the arrival of an external target (e.g., when hitting a pitched ball). Conventional studies of human timing processes have ignored the stochastic features of target timing: e.g., the speed of the pitched ball is not generally constant, but is variable. Interestingly, based on Bayesian theory, it has been recently shown that the human sensorimotor system achieves the optimal estimation by integrating sensory information with prior knowledge of the probabilistic structure of the target variation. In this study, we tested whether Bayesian integration is also implemented while performing a coincidence- timing type of sensorimotor task by manipulating the trial-by-trial variability (i.e., the prior distribution) of the target timing. As a result, within several hundred trials of learning, subjects were able to generate systematic timing behavior according to the width of the prior distribution, as predicted by the optimal Bayesian model. Considering the previous studies showing that the human sensorimotor system uses Bayesian integration in spacing and force-grading tasks, our result indicates that Bayesian integration is fundamental to all aspects of human sensorimotor control. Moreover, it was noteworthy that the subjects could adjust their behavior both when the prior distribution was switched from wide to narrow and vice versa, although the adjustment was slower in the former case. Based on a comparison with observations in a previous study, we discuss the flexibility and adaptability of Bayesian sensorimotor learning.

APA, Harvard, Vancouver, ISO, and other styles

10

Grau-Moya, Jordi, Pedro A. Ortega, and Daniel A. Braun. "Risk-Sensitivity in Bayesian Sensorimotor Integration." PLoS Computational Biology 8, no. 9 (September 27, 2012): e1002698. http://dx.doi.org/10.1371/journal.pcbi.1002698.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Lewis, G. N. "Altered sensorimotor integration in Parkinson's disease." Brain 125, no. 9 (September 1, 2002): 2089–99. http://dx.doi.org/10.1093/brain/awf200.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Wolpert, D., Z. Ghahramani, and M. Jordan. "An internal model for sensorimotor integration." Science 269, no. 5232 (September 29, 1995): 1880–82. http://dx.doi.org/10.1126/science.7569931.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Siggelkow, Sabine, Andon Kossev, Cornelia Moll, Jan Däuper, Reinhard Dengler, and Jens D. Rollnik. "Impaired Sensorimotor Integration in Cervical Dystonia." Journal of Clinical Neurophysiology 19, no. 3 (June 2002): 232–39. http://dx.doi.org/10.1097/00004691-200206000-00006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Richard Staines, W., William E. McIlroy, Simon J. Graham, and Sandra E. Black. "Cortical networks associated with sensorimotor integration." NeuroImage 11, no. 5 (May 2000): S849. http://dx.doi.org/10.1016/s1053-8119(00)91777-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Liu, He, Wenxing Yang, Taihong Wu, Fengyun Duan, Edward Soucy, Xin Jin, and Yun Zhang. "Cholinergic Sensorimotor Integration Regulates Olfactory Steering." Neuron 97, no. 2 (January 2018): 390–405. http://dx.doi.org/10.1016/j.neuron.2017.12.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Furuya, Shinichi, Yuta Furukawa, Kazumasa Uehara, and Takanori Oku. "Probing sensorimotor integration during musical performance." Annals of the New York Academy of Sciences 1423, no. 1 (March 10, 2018): 211–18. http://dx.doi.org/10.1111/nyas.13619.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Aydarkin, Evgeny K., and Marina A. Pavlovskaya. "Functional hemisphere asymmetry and sensorimotor integration." International Journal of Psychophysiology 77, no. 3 (September 2010): 327. http://dx.doi.org/10.1016/j.ijpsycho.2010.06.254.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Vuralli, Doga, Tugce Ayyildiz, Yasemin Bozdag, Bulent Cengiz, and Zafer Gunendi. "P44-S Sensorimotor integration in fibromyalgia." Clinical Neurophysiology 130, no. 7 (July 2019): e107. http://dx.doi.org/10.1016/j.clinph.2019.04.580.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Genewein, Tim, Eduard Hez, Zeynab Razzaghpanah, and Daniel A. Braun. "Structure Learning in Bayesian Sensorimotor Integration." PLOS Computational Biology 11, no. 8 (August 25, 2015): e1004369. http://dx.doi.org/10.1371/journal.pcbi.1004369.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Peterka, R. J. "Sensorimotor Integration in Human Postural Control." Journal of Neurophysiology 88, no. 3 (September 1, 2002): 1097–118. http://dx.doi.org/10.1152/jn.2002.88.3.1097.

Full text

Abstract:

It is generally accepted that human bipedal upright stance is achieved by feedback mechanisms that generate an appropriate corrective torque based on body-sway motion detected primarily by visual, vestibular, and proprioceptive sensory systems. Because orientation information from the various senses is not always available (eyes closed) or accurate (compliant support surface), the postural control system must somehow adjust to maintain stance in a wide variety of environmental conditions. This is the sensorimotor integration problem that we investigated by evoking anterior-posterior (AP) body sway using pseudorandom rotation of the visual surround and/or support surface (amplitudes 0.5–8°) in both normal subjects and subjects with severe bilateral vestibular loss (VL). AP rotation of body center-of-mass (COM) was measured in response to six conditions offering different combinations of available sensory information. Stimulus-response data were analyzed using spectral analysis to compute transfer functions and coherence functions over a frequency range from 0.017 to 2.23 Hz. Stimulus-response data were quite linear for any given condition and amplitude. However, overall behavior in normal subjects was nonlinear because gain decreased and phase functions sometimes changed with increasing stimulus amplitude. “Sensory channel reweighting” could account for this nonlinear behavior with subjects showing increasing reliance on vestibular cues as stimulus amplitudes increased. VL subjects could not perform this reweighting, and their stimulus-response behavior remained quite linear. Transfer function curve fits based on a simple feedback control model provided estimates of postural stiffness, damping, and feedback time delay. There were only small changes in these parameters with increasing visual stimulus amplitude. However, stiffness increased as much as 60% with increasing support surface amplitude. To maintain postural stability and avoid resonant behavior, an increase in stiffness should be accompanied by a corresponding increase in damping. Increased damping was achieved primarily by decreasing the apparent time delay of feedback control rather than by changing the damping coefficient (i.e., corrective torque related to body-sway velocity). In normal subjects, stiffness and damping were highly correlated with body mass and moment of inertia, with stiffness always about 1/3 larger than necessary to resist the destabilizing torque due to gravity. The stiffness parameter in some VL subjects was larger compared with normal subjects, suggesting that they may use increased stiffness to help compensate for their loss. Overall results show that the simple act of standing quietly depends on a remarkably complex sensorimotor control system.

APA, Harvard, Vancouver, ISO, and other styles

21

Luo, Jinhong, Ninad B. Kothari, and Cynthia F. Moss. "Sensorimotor integration on a rapid time scale." Proceedings of the National Academy of Sciences 114, no. 25 (June 5, 2017): 6605–10. http://dx.doi.org/10.1073/pnas.1702671114.

Full text

Abstract:

Sensing is fundamental to the control of movement: From grasping objects to speech production, sensing guides action. So far, most of our knowledge about sensorimotor integration comes from visually guided reaching and oculomotor integration, in which the time course and trajectories of movements can be measured at a high temporal resolution. By contrast, production of vocalizations by humans and animals involves complex and variable actions, and each syllable often lasts a few hundreds of milliseconds, making it difficult to infer underlying neural processes. Here, we measured and modeled the transfer of sensory information into motor commands for vocal amplitude control in response to background noise, also known as the Lombard effect. We exploited the brief vocalizations of echolocating bats to trace the time course of the Lombard effect on a millisecond time scale. Empirical studies revealed that the Lombard effect features a response latency of a mere 30 ms and provided the foundation for the quantitative audiomotor model of the Lombard effect. We show that the Lombard effect operates by continuously integrating the sound pressure level of background noise through temporal summation to guide the extremely rapid vocal-motor adjustments. These findings can now be extended to models and measures of audiomotor integration in other animals, including humans.

APA, Harvard, Vancouver, ISO, and other styles

22

Lim, Vanessa K., John L. Bradshaw, Michael E. R. Nicholls, Ian J. Kirk, Jeff P. Hamm, Michael Grossbach, and Eckart Altenmüller. "Aberrant Sensorimotor Integration in Musicians' Cramp Patients." Journal of Psychophysiology 17, no. 4 (January 2003): 195–202. http://dx.doi.org/10.1027/0269-8803.17.4.195.

Full text

Abstract:

AbstractSimple tapping and complex movements (Luria finger apposition task) were performed unimanually and bimanually by two groups of professional guitarists while EEG was recorded from electrodes over the sensorimotor cortex. One group had a task-specific movement disorder (focal dystonia or musicians' cramp), while the other group did not (controls). There were no significant group interactions in the task-related power (TRPow) within the alpha range of 8-10Hz (mu1). In contrast, there was a significant group interaction within the alpha range of 10-12Hz (mu2); these latter frequencies are associated with task-specific sensorimotor integration. The significant group interaction included task (simple and complex) by hand (left, right, and both) by electrodes (10 electrodes over the sensorimotor areas). In the rest conditions, the alpha power (10-12Hz) was comparable between the groups; during movement, however, compared to the controls, patients demonstrated the greatest TRPow (10-12Hz) over all conditions. This was particularly evident when patients used their affected hand and suggests that patients with musicians' cramp have impaired task-specific sensorimotor integration.

APA, Harvard, Vancouver, ISO, and other styles

23

Cruikshank, Leanna C., Anthony Singhal, Mark Hueppelsheuser, and Jeremy B. Caplan. "Theta oscillations reflect a putative neural mechanism for human sensorimotor integration." Journal of Neurophysiology 107, no. 1 (January 2012): 65–77. http://dx.doi.org/10.1152/jn.00893.2010.

Full text

Abstract:

Hippocampal theta oscillations (3–12 Hz) may reflect a mechanism for sensorimotor integration in rats (Bland BH. Prog Neurobiol 26: 1–54, 1986); however, it is unknown whether cortical theta activity underlies sensorimotor integration in humans. Rather, the mu rhythm (8–12 Hz) is typically found to desynchronize during movement. We measured oscillatory EEG activity for two conditions of an instructed delayed reaching paradigm. Conditions 1 and 2 were designed to differentially manipulate the contribution of the ventral visuomotor stream during the response initiation phase. We tested the hypothesis that theta activity would reflect changes in the relevant sensorimotor network: condition 2 engaged ventral stream mechanisms to a greater extent than condition 1. Theta oscillations were more prevalent during movement initiation and execution than during periods of stillness, consistent with a sensorimotor relevance for theta activity. Furthermore, theta activity was more prevalent at temporal sites in condition 2 than condition 1 during response initiation, suggesting that theta activity is present within the necessary sensorimotor network. Mu activity desynchronized more during condition 2 than condition 1, suggesting mu desynchronization is also specific to the sensorimotor network. In summary, cortical theta synchronization and mu desynchronization may represent broadly applicable rhythmic mechanisms for sensorimotor integration in the human brain.

APA, Harvard, Vancouver, ISO, and other styles

24

Wagle Shukla, Aparna, Jill L. Ostrem, David E. Vaillancourt, Robert Chen, Kelly D. Foote, and Michael S. Okun. "Physiological effects of subthalamic nucleus deep brain stimulation surgery in cervical dystonia." Journal of Neurology, Neurosurgery & Psychiatry 89, no. 12 (January 11, 2018): 1296–300. http://dx.doi.org/10.1136/jnnp-2017-317098.

Full text

Abstract:

BackgroundSubthalamic nucleus deep brain stimulation (STN DBS) surgery is clinically effective for treatment of cervical dystonia; however, the underlying physiology has not been examined. We used transcranial magnetic stimulation (TMS) to examine the effects of STN DBS on sensorimotor integration, sensorimotor plasticity and motor cortex excitability, which are identified as the key pathophysiological features underlying dystonia.MethodsTMS paradigms of short latency afferent inhibition (SAI) and long latency afferent inhibition (LAI) were used to examine the sensorimotor integration. Sensorimotor plasticity was measured with paired associative stimulation paradigm, and motor cortex excitability was examined with short interval intracortical inhibition and intracortical facilitation. DBS was turned off and on to record these measures.ResultsSTN DBS modulated SAI and LAI, which correlated well with the acute clinical improvement. While there were no changes seen in the motor cortex excitability, DBS was found to normalise the sensorimotor plasticity; however, there was no clinical correlation.ConclusionModulation of sensorimotor integration is a key contributor to clinical improvement with acute stimulation of STN. Since the motor cortex excitability did not change and the change in sensorimotor plasticity did not correlate with clinical improvement, STN DBS demonstrates restricted effects on the underlying physiology.Clinical trial registrationNCT01671527.

APA, Harvard, Vancouver, ISO, and other styles

25

Babayov, Dana, Haim Omer, and Jacob Menczel. "Sensorimotor Integration Therapy for Hip Fracture and CVA Patients." Canadian Journal of Occupational Therapy 52, no. 3 (June 1985): 133–37. http://dx.doi.org/10.1177/000841748505200307.

Full text

Abstract:

A rehabilitation program, having as its central component a sensorimotor integration procedure, was applied to 36 geriatric patients after hip fracture or CVA. The sensorimotor integration was gradually carried out in a developmental sequence from a lying down position to a fully erect position. Results were preliminarily evaluated by pre- and post- treatment figure drawings, and by ADL ratings. Significant changes were obtained in both measures. Qualitative changes in figure drawings point to specific effects of the sensorimotor integration therapy. A detailed theoretical rationale is provided for the implementation of SI therapy with patients suffering from CVA or hip fracture.

APA, Harvard, Vancouver, ISO, and other styles

26

Georgieva, Diyana. "The Effects of Multy-Sensory Environment on Sensorimotor Integration in Children with Multiple Disabilities." Педагогически форум 7, no. 4 (2019): 12–21. http://dx.doi.org/10.15547/pf.2019.025.

Full text

Abstract:

In recent years, the idea of research of sensorimotor integration has become increasingly explicated as a key component of the alternative therapy in children with multiple disabilities. The effects of the influence on the development, training, emotions and behavior of these children in a specially organized multy-sensory environment are explored. The article provides an overview of sensory based interventions, among which the most important consideration is the sensory room as a physical space to overcome sensory-integrative dysfunction. The theory of sensorimotor integration is presented and different variants of disabiliies are described. The age criterion for effective utilization of multy-sensory space is derived

APA, Harvard, Vancouver, ISO, and other styles

27

Murphy, Karagh, Logan S. James, Jon T. Sakata, and Jonathan F. Prather. "Advantages of comparative studies in songbirds to understand the neural basis of sensorimotor integration." Journal of Neurophysiology 118, no. 2 (August 1, 2017): 800–816. http://dx.doi.org/10.1152/jn.00623.2016.

Full text

Abstract:

Sensorimotor integration is the process through which the nervous system creates a link between motor commands and associated sensory feedback. This process allows for the acquisition and refinement of many behaviors, including learned communication behaviors such as speech and birdsong. Consequently, it is important to understand fundamental mechanisms of sensorimotor integration, and comparative analyses of this process can provide vital insight. Songbirds offer a powerful comparative model system to study how the nervous system links motor and sensory information for learning and control. This is because the acquisition, maintenance, and control of birdsong critically depend on sensory feedback. Furthermore, there is an incredible diversity of song organizations across songbird species, ranging from songs with simple, stereotyped sequences to songs with complex sequencing of vocal gestures, as well as a wide diversity of song repertoire sizes. Despite this diversity, the neural circuitry for song learning, control, and maintenance remains highly similar across species. Here, we highlight the utility of songbirds for the analysis of sensorimotor integration and the insights about mechanisms of sensorimotor integration gained by comparing different songbird species. Key conclusions from this comparative analysis are that variation in song sequence complexity seems to covary with the strength of feedback signals in sensorimotor circuits and that sensorimotor circuits contain distinct representations of elements in the vocal repertoire, possibly enabling evolutionary variation in repertoire sizes. We conclude our review by highlighting important areas of research that could benefit from increased comparative focus, with particular emphasis on the integration of new technologies.

APA, Harvard, Vancouver, ISO, and other styles

28

Damulin, I. V. "Sensorimotor integration in health and after stroke." Consilium Medicum 20, no. 2 (2018): 63–68. http://dx.doi.org/10.26442/2075-1753_2018.2.63-68.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

MacDorman, Karl F. "Cognitive Robotics. Grounding symbols through sensorimotor integration." Journal of the Robotics Society of Japan 17, no. 1 (1999): 20–24. http://dx.doi.org/10.7210/jrsj.17.20.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Vaishnavi, S., J. Calhoun, and A. Chatterjee. "Crossmodal and sensorimotor integration in tactile awareness." Neurology 53, no. 7 (October 22, 1999): 1596. http://dx.doi.org/10.1212/wnl.53.7.1596.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Bäumer, T., P. P. Pramstaller, H. R. Siebner, S. Schippling, J. Hagenah, M. Peller, C. Gerloff, C. Klein, and A. Münchau. "Sensorimotor integration is abnormal in asymptomaticParkinmutation carriers." Neurology 69, no. 21 (November 19, 2007): 1976–81. http://dx.doi.org/10.1212/01.wnl.0000278109.76607.0a.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Abbruzzese, Giovanni, Roberta Marchese, Alessandro Buccolieri, Bruno Gasparetto, and Carlo Trompetto. "Abnormalities of sensorimotor integration in focal dystonia." Brain 124, no. 3 (March 2001): 537–45. http://dx.doi.org/10.1093/brain/124.3.537.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Taylor, Heidi Haavik, and Bernadette Murphy. "Altered Sensorimotor Integration With Cervical Spine Manipulation." Journal of Manipulative and Physiological Therapeutics 31, no. 2 (February 2008): 115–26. http://dx.doi.org/10.1016/j.jmpt.2007.12.011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Velasques, Bruna, Sergio Machado, Cláudio Elidio Portella, Julio Guilherme Silva, Luis F. H. Basile, Mauricio Cagy, Roberto Piedade, and Pedro Ribeiro. "Electrophysiological analysis of a sensorimotor integration task." Neuroscience Letters 426, no. 3 (October 2007): 155–59. http://dx.doi.org/10.1016/j.neulet.2007.08.061.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

TING, L. H., S. A. KAUTZ, D. A. BROWN, H. F. M. DER LOOS, and F. E. ZAJAC. "Bilateral Integration of Sensorimotor Signals during Pedalinga." Annals of the New York Academy of Sciences 860, no. 1 NEURONAL MECH (November 1998): 513–16. http://dx.doi.org/10.1111/j.1749-6632.1998.tb09091.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Ruddy, Kathy L., Ellen Jaspers, Martin Keller, and Nicole Wenderoth. "Interhemispheric sensorimotor integration; an upper limb phenomenon?" Neuroscience 333 (October 2016): 104–13. http://dx.doi.org/10.1016/j.neuroscience.2016.07.014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Pozzo, Thierry, Charalambos Papaxanthis, Paul Stapley, and Alain Berthoz. "The sensorimotor and cognitive integration of gravity." Brain Research Reviews 28, no. 1-2 (November 1998): 92–101. http://dx.doi.org/10.1016/s0165-0173(98)00030-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Samuel, Aravinthan D. T., and Piali Sengupta. "Sensorimotor Integration: Locating Locomotion in Neural Circuits." Current Biology 15, no. 9 (May 2005): R341—R343. http://dx.doi.org/10.1016/j.cub.2005.04.021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Degardin, Adrian, David Devos, François Cassim, Jean-Louis Bourriez, Luc Defebvre, Philippe Derambure, and Hervé Devanne. "Deficit of sensorimotor integration in normal aging." Neuroscience Letters 498, no. 3 (July 2011): 208–12. http://dx.doi.org/10.1016/j.neulet.2011.05.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Mariño, Jorge, Luis Martinez, and Antonio Canedo. "Sensorimotor Integration at the Dorsal Column Nuclei." Physiology 14, no. 6 (December 1999): 231–37. http://dx.doi.org/10.1152/physiologyonline.1999.14.6.231.

Full text

Abstract:

Interaction among primary afferents, corticofugal fibers, and intrinsic elements allows for sensorimotor integration at the dorsal column nuclei. The interneurons permit the spatial localization, the recurrent collaterals synchronize the activity of projecting cells with overlapping receptive fields, and the corticofugal fibers induce a central zone of activity surrounded by a peripheral zone of inhibition.

APA, Harvard, Vancouver, ISO, and other styles

41

Loucks, Torrey M., and Luc F. De Nil. "Oral Sensorimotor Integration in Adults Who Stutter." Folia Phoniatrica et Logopaedica 64, no. 3 (2012): 116–21. http://dx.doi.org/10.1159/000338248.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Iacoboni, M. "Bimodal (auditory and visual) left frontoparietal circuitry for sensorimotor integration and sensorimotor learning." Brain 121, no. 11 (November 1, 1998): 2135–43. http://dx.doi.org/10.1093/brain/121.11.2135.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Untari, Rita, and Hendri Kurniawan. "Pengaruh Terapi Integrasi Sensori Motor terhadap Gejala Psikiatri Pasien Skizofrenia." MOTORIK Jurnal Ilmu Kesehatan 14, no. 2 (September 30, 2019): 131–35. http://dx.doi.org/10.61902/motorik.v14i2.31.

Full text

Abstract:

Background Schizophrenia is one of the major mental disorders resulting in meaningful changes in the overall quality of several aspects of personal behavior. One important problem in individuals with schizophrenia is the inability to understand and interpret sensory input from the environment. One method to improve the interpretation of sensory input from the environment is the sensorimotor integration approach. Proprioceptive and vestibular problems affect poor patterns of movement, spatial awareness, fear of falling, sense of touch, visual and auditory problems due to visual, auditory and tactile problems (hallucinations and delusions), cognitive problems (delirium, information processing deficits, problems processing information, problems solving, decision making and social behavior (irritability and isolation) The purpose of this study was to determine the effect of sensorimotor integration therapy on psychiatric symptoms of schizophrenia patients in Utami Laras Rehabilitation Institution in Surakarta This study was conducted with a pre-experimental design with one group pretest-post test design Patients who met the criteria were given a pretest with the Brief Psychiatric Rating Scale (BPRS) instrument, intervening sensorimotor integration therapy, after 8 times the patient's therapy was given a post test. After 8 interventions there was a decrease in the SRB score, which means there was an improvement in the patient's psychiatric symptoms. psychiatric patients with schizophrenia decline (get better) after following sensorimotor integration therapy interventions. Sensorimotor integration therapy has a significant impact on improving psychiatric symptoms in schizophrenic patients.

APA, Harvard, Vancouver, ISO, and other styles

44

Jain, Anjali. "To evaluate and compare the Effectiveness of Sensorimotor Integration with that of Conventional Training for improving Balance and Gait in Stroke Hemiparesis: A Comparative Study." Journal of Mahatma Gandhi University of Medical Sciences and Technology 1, no. 2 (2016): 47–54. http://dx.doi.org/10.5005/jp-journals-10057-0012.

Full text

Abstract:

ABSTRACT Aim of the study To evaluate and compare the effectiveness of sensorimotor integration with that of conventional training for improving balance and gait in stroke hemiparesis. Materials and methods The study design used for this research will be comparative study. Data will be taken from Mahatma Gandhi Hospital and Medical College, Jaipur and Mumbai. Results When both the groups were compared using unpaired t-test, sensorimotor group showed significant improvement in all outcome measures (p < 0.0001) except for MCTSIAB conditions 1 and 2 where the difference was not statistically significant. Conclusion Sensorimotor integration training is one of the novel treatment which can have a addictive effects along with the conventional training for balance. How to cite this article Agarwal G, Jain A. To evaluate and compare the Effectiveness of Sensorimotor Integration with that of Conventional Training for improving Balance and Gait in Stroke Hemiparesis: A Comparative Study. J Mahatma Gandhi Univ Med Sci Tech 2016;1(2):47-54.

APA, Harvard, Vancouver, ISO, and other styles

45

Sutton, Erin E., Alican Demir, Sarah A. Stamper, Eric S. Fortune, and Noah J. Cowan. "Dynamic modulation of visual and electrosensory gains for locomotor control." Journal of The Royal Society Interface 13, no. 118 (May 2016): 20160057. http://dx.doi.org/10.1098/rsif.2016.0057.

Full text

Abstract:

Animal nervous systems resolve sensory conflict for the control of movement. For example, the glass knifefish, Eigenmannia virescens , relies on visual and electrosensory feedback as it swims to maintain position within a moving refuge. To study how signals from these two parallel sensory streams are used in refuge tracking, we constructed a novel augmented reality apparatus that enables the independent manipulation of visual and electrosensory cues to freely swimming fish ( n = 5). We evaluated the linearity of multisensory integration, the change to the relative perceptual weights given to vision and electrosense in relation to sensory salience, and the effect of the magnitude of sensory conflict on sensorimotor gain. First, we found that tracking behaviour obeys superposition of the sensory inputs, suggesting linear sensorimotor integration. In addition, fish rely more on vision when electrosensory salience is reduced, suggesting that fish dynamically alter sensorimotor gains in a manner consistent with Bayesian integration. However, the magnitude of sensory conflict did not significantly affect sensorimotor gain. These studies lay the theoretical and experimental groundwork for future work investigating multisensory control of locomotion.

APA, Harvard, Vancouver, ISO, and other styles

46

Tsur, Omer, Yana Khrapunsky, and Rony Azouz. "Sensorimotor integration in the whisker somatosensory brain stem trigeminal loop." Journal of Neurophysiology 122, no. 5 (November 1, 2019): 2061–75. http://dx.doi.org/10.1152/jn.00116.2019.

Full text

Abstract:

The rodent’s vibrissal system is a useful model system for studying sensorimotor integration in perception. This integration determines the way in which sensory information is acquired by sensory organs and the motor commands that control them. The initial instance of sensorimotor integration in the whisker somatosensory system is implemented in the brain stem loop and may be essential to the way rodents explore and sense their environment. To examine the nature of these sensorimotor interactions, we recorded from lightly anesthetized rats in vivo and brain stem slices in vitro and isolated specific parts of this loop. We found that motor feedback to the vibrissal pad serves as a dynamic gain controller that controls the response of first-order sensory neurons by increasing and decreasing sensitivity to lower and higher tactile stimulus magnitudes, respectively. This delicate mechanism is mediated through tactile stimulus magnitude-dependent motor feedback. Conversely, tactile inputs affect the motor whisking output through influences on the rhythmic whisking circuitry, thus changing whisking kinetics. Similarly, tactile influences also modify the whisking amplitude through synaptic and intrinsic neuronal interaction in the facial nucleus, resulting in facilitation or suppression of whisking amplitude. These results point to the vast range of mechanisms underlying sensorimotor integration in the brain stem loop. NEW & NOTEWORTHY Sensorimotor integration is a process in which sensory and motor information is combined to control the flow of sensory information, as well as to adjust the motor system output. We found in the rodent’s whisker somatosensory system mutual influences between tactile inputs and motor output, in which motor neurons control the flow of sensory information depending on their magnitude. Conversely, sensory information can control the magnitude and kinetics of whisker movement.

APA, Harvard, Vancouver, ISO, and other styles

47

Tele-Heri, Brigitta, Karoly Dobos, Szilvia Harsanyi, Judit Palinkas, Fanni Fenyosi, Rudolf Gesztelyi, Csaba E. More, and Judit Zsuga. "Vestibular Stimulation May Drive Multisensory Processing: Principles for Targeted Sensorimotor Therapy (TSMT)." Brain Sciences 11, no. 8 (August 23, 2021): 1111. http://dx.doi.org/10.3390/brainsci11081111.

Full text

Abstract:

At birth, the vestibular system is fully mature, whilst higher order sensory processing is yet to develop in the full-term neonate. The current paper lays out a theoretical framework to account for the role vestibular stimulation may have driving multisensory and sensorimotor integration. Accordingly, vestibular stimulation, by activating the parieto-insular vestibular cortex, and/or the posterior parietal cortex may provide the cortical input for multisensory neurons in the superior colliculus that is needed for multisensory processing. Furthermore, we propose that motor development, by inducing change of reference frames, may shape the receptive field of multisensory neurons. This, by leading to lack of spatial contingency between formally contingent stimuli, may cause degradation of prior motor responses. Additionally, we offer a testable hypothesis explaining the beneficial effect of sensory integration therapies regarding attentional processes. Key concepts of a sensorimotor integration therapy (e.g., targeted sensorimotor therapy (TSMT)) are also put into a neurological context. TSMT utilizes specific tools and instruments. It is administered in 8-weeks long successive treatment regimens, each gradually increasing vestibular and postural stimulation, so sensory-motor integration is facilitated, and muscle strength is increased. Empirically TSMT is indicated for various diseases. Theoretical foundations of this sensorimotor therapy are discussed.

APA, Harvard, Vancouver, ISO, and other styles

48

Neto, Osmar Pinto, Victor Curty, Leonardo Crespim, and Deanna M. Kennedy. "Bayesian integration during sensorimotor estimation in elite athletes." Human Movement Science 81 (February 2022): 102895. http://dx.doi.org/10.1016/j.humov.2021.102895.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Chambers, Claire, Taegh Sokhey, Deborah Gaebler-Spira, and Konrad Paul Kording. "The development of Bayesian integration in sensorimotor estimation." Journal of Vision 18, no. 12 (November 16, 2018): 8. http://dx.doi.org/10.1167/18.12.8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Egger, Seth W., Evan D. Remington, Chia-Jung Chang, and Mehrdad Jazayeri. "Internal models of sensorimotor integration regulate cortical dynamics." Nature Neuroscience 22, no. 11 (October 7, 2019): 1871–82. http://dx.doi.org/10.1038/s41593-019-0500-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!