scholarly journals Reversing Hemianopia by Multisensory Training Under Anesthesia

2020 ◽  
Vol 14 ◽  
Author(s):  
Huai Jiang ◽  
Benjamin A. Rowland ◽  
Barry E. Stein
2021 ◽  
pp. 1-9
Author(s):  
In-Gyu Yoo ◽  
Ji-Hye Do

BACKGROUND: Posture control involves complex reactions of dynamic and static movements, and various sensory inputs. There is evidence that exercise using multisensory stimulation is moderately effective in improving the balance of the elderly. OBJECTIVE: The main purpose of this paper was to examine the existing literature to validate the effectiveness and applicability of multisensory stimulation training. METHODS: All relevant literature published as of June 1, 2020 in four prominent databases was searched (Embase, PubMed, PsycINFO, and Web of science) using the five-stage review framework proposed by Arksey and O’Malley. RESULTS: Multisensory stimulation training was more effective when vestibular and somatosensory were combined with visual stimuli, and differences in effectiveness compared to the effectiveness of existing treatments were confirmed. However, most of the reviewed papers are compared to simple strength training, and studies that compare the effects of multisensory stimulation training by setting a control group are still lacking. CONCLUSION: Further research is required to further elucidate the training conditions and treatment environment for multisensory training for the elderly at risk of falls and to provide strategies to improve treatment methods. In addition, a study that can evaluate user satisfaction in a way that best shows the treatment effect using qualitative research methods will be needed.


1981 ◽  
Vol 4 (1) ◽  
pp. 38-43 ◽  
Author(s):  
Jed P. Luchow ◽  
Margaret Jo Shepherd

The purpose of this study was to examine the effect of multisensory input on the performance of learning disabled boys on a visual matching task. A thirty-item multiple-choice visual dot pattern matching task was given to 160 boys, ages 6 years through 8 years, 11 months, who were enrolled in special classes for children with learning problems. Of the four treatment groups (visual input only, visual plus tactile input, visual plus auditory input, visual plus auditory plus tactile input), the difference between the means of the visual only and visual-auditory and visual-auditory-tactile groups was significant at p<.05. The results suggest that on a perceptual task not related to reading or mathematics, the addition of input from tactile and auditory sensory modalities does not improve learning performance and, in certain combinations, actually interferes with such performance.


2017 ◽  
Vol 381 ◽  
pp. 602
Author(s):  
C. Bertini ◽  
M. Pietrelli ◽  
P.A. Grasso ◽  
M. Zanon ◽  
E. Làdavas

2017 ◽  
Vol 40 ◽  
Author(s):  
Richard P. Cooper

AbstractLake et al. underrate both the promise and the limitations of contemporary deep learning techniques. The promise lies in combining those techniques with broad multisensory training as experienced by infants and children. The limitations lie in the need for such systems to possess functional subsystems that generate, monitor, and switch goals and strategies in the absence of human intervention.


Author(s):  
Lorrel E. Brown ◽  
Wendy Bottinor ◽  
Avnish Tripathi ◽  
Travis Carroll ◽  
William C. Dillon ◽  
...  

2013 ◽  
Vol 25 (2) ◽  
pp. 203-218 ◽  
Author(s):  
Andrew J. Butler ◽  
Karin Harman James

Our experience with the world commonly involves physical interaction with objects enabling us to learn associations between multisensory information perceived during an event and our actions that create an event. The interplay among active interactions during learning and multisensory integration of object properties is not well understood. To better understand how action might enhance multisensory associative recognition, we investigated the interplay among motor and perceptual systems after active learning. Fifteen participants were included in an fMRI study during which they learned visuo-auditory-motor associations between novel objects and the sounds they produce, either through self-generated actions on the objects (active learning) or by observing an experimenter produce the actions (passive learning). Immediately after learning, behavioral and BOLD fMRI measures were collected while perceiving the objects used during unisensory and multisensory training in associative perception and recognition tasks. Active learning was faster and led to more accurate recognition of audiovisual associations than passive learning. Functional ROI analyses showed that in motor, somatosensory, and cerebellar regions there was greater activation during both the perception and recognition of actively learned associations. Finally, functional connectivity between visual- and motor-related processing regions was enhanced during the presentation of actively learned audiovisual associations. Overall, the results of the current study clarify and extend our own previous work [Butler, A. J., James, T. W., & Harman James, K. Enhanced multisensory integration and motor reactivation after active motor learning of audiovisual associations. Journal of Cognitive Neuroscience, 23, 3515–3528, 2011] by providing several novel findings and highlighting the task-based nature of motor reactivation and retrieval after active learning.


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