Cerebral blood perfusion changes in amputees with myoelectric hands after rehabilitation: a SPECT computer-aided analysis

Liu, Qiufang; Zheng, Xiujuan; Li, Panli; Xu, Lian; He, Longwen; Zhao, Ming; Zhu, Yinyan; Huang, Gang; Zhong, Chunlong; Song, Shaoli

doi:10.1186/s12868-016-0294-3

Cited by 5 publications

(5 citation statements)

References 27 publications

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“…However, even when we impose a corresponding level of similarity of tuning in our cerebellar cortex model, the synaptic degree that maximizes dimension is still small ( K ≤ 4), although the dimension of the resulting representation is reduced (Figure S7). Another study related to ours, of which we recently became aware, shows that sparse connectivity also improves convergence speed in a model of associative learning in cerebellar cortex (Cayco-Gajic et al, 2016). …”

Section: Discussionmentioning

confidence: 72%

Optimal Degrees of Synaptic Connectivity

Litwin-Kumar

Harris

Axel

et al. 2017

Neuron

325

467

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Summary Synaptic connectivity varies widely across neuronal types. Cerebellar granule cells receive five orders of magnitude fewer inputs than the Purkinje cells they innervate, and cerebellum-like circuits including the insect mushroom body also exhibit large divergences in connectivity. In contrast, the number of inputs per neuron in cerebral cortex is more uniform and large. We investigate how the dimension of a representation formed by a population of neurons depends on how many inputs they each receive and what this implies for learning associations. Our theory predicts that the dimensions of the cerebellar granule-cell and Drosophila Kenyon-cell representations are maximized at degrees of synaptic connectivity that match those observed anatomically, showing that sparse connectivity is sometimes superior to dense connectivity. When input synapses are subject to supervised plasticity, however, dense wiring becomes advantageous, suggesting that the type of plasticity exhibited by a set of synapses is a major determinant of connection density.

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Section: Discussionmentioning

confidence: 72%

Optimal Degrees of Synaptic Connectivity

Litwin-Kumar

Harris

Axel

et al. 2017

Neuron

325

467

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“…Finally, 11 articles were included in this review and 21 were excluded because they did not meet the inclusion criteria (Figure ). The excluded articles are shown in Table …”

Section: Resultsmentioning

confidence: 99%

Neuroplasticity Modifications Following a Lower‐Limb Amputation: A Systematic Review

Molina‐Rueda

Navarro-Fernández

Cuesta-Gómez

et al. 2019

PM&R

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Background: Although there are studies that have examined brain functional reorganization following upper-limb amputation, understanding of the brain changes that occur in people with lower-limb amputation is limited. Objective: To investigate modifications in the brain following lower-limb amputation. Methods: We included case-control studies that evaluate neuroplasticity in the central nervous system using neuroimaging techniques. A literature search was conducted using MEDLINE, CINAHL, Web of Science, Scopus, and Cochrane. Results: Eleven articles were included (total n = 204 people with unilateral lower-limb amputation). These studies showed an increase in cerebellar gray matter volume in prosthesis users, as well as a decrease in thickness of the premotor cortex, orbitofrontal cortex, temporo-occipital junction, precentral gyrus, visual areas, and somatosensory cortex. Regarding white matter, the trials observed a decrease in the integrity at the corona radiata, the connections between the premotor areas, the fronto-occipital fasciculus and the corpus callosum. In addition, a decreased functional connectivity between cortical and subcortical areas has been described. Conclusions: Lower-limb amputation causes changes in several brain structures that may occur in the absence of pain and regardless of prosthesis use. The modifications observed include thinning or loss of gray matter volume, decrease in the integrity of the white matter connections between brain structures and changes in the functional connectivity between cortical and subcortical areas.

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“…In addition, there is a lack of randomized, controlled clinical data supporting pre-prosthetic training on functional outcomes in amputees (Dromerick et al, 2008 ). Previously published clinical research on the effect of pre-prosthetic training on amputee health outcomes is represented by small, uncontrolled case studies (Dromerick et al, 2008 ; Toledo et al, 2010 ; Resnik et al, 2011 ; Chadwell et al, 2016 ; Liu et al, 2016 ). Future research should include longitudinal studies to evaluate the impact of pre-prosthetic training methods on prosthesis acceptance, wear time, abandonment, functional outcomes (Resnik et al, 2013 ), quality of life, and return to work.…”

Section: Discussionmentioning

confidence: 99%

Mobile, Game-Based Training for Myoelectric Prosthesis Control

Winslow

Ruble

Huber

2018

Front. Bioeng. Biotechnol.

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Myoelectric prostheses provide upper limb amputees with hand and arm movement control using muscle activity of the residual limb, but require intensive training to effectively operate. The result is that many amputees abandon their prosthesis before mastering control of their device. In the present study, we examine a novel, mobile, game-based approach to myoelectric prosthesis training. Using the non-dominant limb in a group of able-bodied participants to model amputee pre-prosthetic training, a significant improvement in factors underlying successful myoelectric prosthesis use, including muscle control, sequencing, and isolation were observed. Participants also reported high levels of usability, and motivation with the game-based approach to training. Given fiscal or geographic constraints that limit pre-prosthetic amputee care, mobile myosite training, as described in the current study, has the potential to improve rehabilitation success rates by providing myosite training outside of the clinical environment. Future research should include longitudinal studies in amputee populations to evaluate the impact of pre-prosthetic training methods on prosthesis acceptance, wear time, abandonment, functional outcomes, quality of life, and return to work.

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Cerebral blood perfusion changes in amputees with myoelectric hands after rehabilitation: a SPECT computer-aided analysis

Cited by 5 publications

References 27 publications

Optimal Degrees of Synaptic Connectivity

Optimal Degrees of Synaptic Connectivity

Neuroplasticity Modifications Following a Lower‐Limb Amputation: A Systematic Review

Mobile, Game-Based Training for Myoelectric Prosthesis Control

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