Motor execution and motor imagery: A comparison of functional connectivity patterns based on graph theory

Xu, Lele; Zhang, H.; Hui, Mingqi; Long, Zhiling; Zhou, Jin; Liu, Y.; Yao, Li

doi:10.1016/j.neuroscience.2013.12.005

Cited by 63 publications

(46 citation statements)

References 52 publications

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“…These regions largely overlapped with or were located close to the brain regions with significant IC. Several previous studies reported that the activities of such motor association areas modulate M1 activity by integrating sensory-motor information and transforming the sensory information into motor representation (Luppino and Rizzolatti, 2000; Solodkin et al, 2004; Hoshi and Tanji, 2007; Kantak et al, 2012; Xu et al, 2014). In addition, activity of the PMC during real movement was shown to resemble the activity of M1 neurons, suggesting that the PMC is directly relevant to motor execution (Lee and van Donkelaar, 2006).…”

Section: Discussionmentioning

confidence: 99%

Alpha band functional connectivity correlates with the performance of brainâ€“machine interfaces to decode real and imagined movements

Sugata

Hirata

Yanagisawa

et al. 2014

Front. Hum. Neurosci.

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Brain signals recorded from the primary motor cortex (M1) are known to serve a significant role in coding the information brain–machine interfaces (BMIs) need to perform real and imagined movements, and also to form several functional networks with motor association areas. However, whether functional networks between M1 and other brain regions, such as these motor association areas, are related to the performance of BMIs is unclear. To examine the relationship between functional connectivity and performance of BMIs, we analyzed the correlation coefficient between performance of neural decoding and functional connectivity over the whole brain using magnetoencephalography. Ten healthy participants were instructed to execute or imagine three simple right upper limb movements. To decode the movement type, we extracted 40 virtual channels in the left M1 via the beam forming approach, and used them as a decoding feature. In addition, seed-based functional connectivities of activities in the alpha band during real and imagined movements were calculated using imaginary coherence. Seed voxels were set as the same virtual channels in M1. After calculating the imaginary coherence in individuals, the correlation coefficient between decoding accuracy and strength of imaginary coherence was calculated over the whole brain. The significant correlations were distributed mainly to motor association areas for both real and imagined movements. These regions largely overlapped with brain regions that had significant connectivity to M1. Our results suggest that use of the strength of functional connectivity between M1 and motor association areas has the potential to improve the performance of BMIs to perform real and imagined movements.

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Section: Discussionmentioning

confidence: 99%

Alpha band functional connectivity correlates with the performance of brainâ€“machine interfaces to decode real and imagined movements

Sugata

Hirata

Yanagisawa

et al. 2014

Front. Hum. Neurosci.

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“…It is suggested that the posterior cerebellum participates in MI, implementing the inhibition of the execution of real movement . In addition, numerous studies have observed a significant influence of the prefrontal cortex, motor supplementary area, premotor cortex, anterior cingulate cortex, and posterior parietal cortex (PPC) in the process of imagining a motor task . The PPC is responsible for identifying the location of the body by integrating information from the visual, auditory, and somatosensory systems.…”

Section: Introductionmentioning

confidence: 99%

Diminished Kinesthetic and Visual Motor Imagery Ability in Adults With Chronic Low Back Pain

Grande-Alonso

Cuenca‐Martínez

González-Ferrero

et al. 2019

PM&R

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“…) ，もしくは，単語完成課題や絵画フラグメント同定課題を用いた潜在記憶の分野における研究において (McDermott & Roediger, 1994;森本・菱谷， 2003;Roediger & Blaxton, 1987 130) = 4.34, p = .04, η p 2 = .032)と運動イメージ -運動あり群(F (1, 130) = 13.09, p = .0004, η p 2 = .091)では有意に，動的視覚イメージ群では有意傾向で(F (1, 130) = 3.13, p = .08, η p 2 = .024) ， 6 ドットパターンよりも 9 ドットパターンの方が高かった。さらに，9 ドットパターンにおける学習群の効果が有意であり(F (4, 260) = 3.51, p = .008, η p 2 = .051) ，ライアン法による下位検定の結果，統制群よりも運動イメージ - (Naka, 1998;Naka & Naoi, 1995 (Hulme, 1979;Longcamp et al, 2005Longcamp et al, , 2008Naka, 1998;Naka & Naoi, 1995;吉村， 1994 (Decety et al, 1994;Hanakawa, Dimyan, & Hallett, 2008;Luft, Skalej, Stefanou, Klose, & Voigt, 1998 (Roth et al, 1996;Xu et al, 2014) ，それと同時に，視空間情報に基づく運動プログラムの発現に関与する場所としても知られている (Beurze, De Lange, Toni, & Medendorp, 2007;Hoshi & Tanji, 2006 (Cohen et al, 1996;Grady et al, 1992) ，物体・色・顔などの処理に関与する課題では腹側経路が活性化すること (Grady et al, 1992;Sergent, Ohta, & MacDonald, 1992;Wade, Augath, Logothetis, & Wandell, 2008) ，それぞれの処理に特異的に傷害を持つ脳損傷患者が存在すること (Levine, Warach & Farah, 1985…”

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Effective encoding for the recognition of spatial configuration and color

Morimoto

2016

The Japanese journal of psychology

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Three experiments examined the types of encoding that were effective for the recognition of spatial and color information. In Experiments 1 and 2, four experimental groups (each asked to form a different type of mental image of stimuli) and one control group (not asked to form an image) were presented spatial configuration patterns with different numbers of black dots. In both experiments, for the group that formed motor images with actual movement, the average score was higher for stimuli with a larger number of dots than for stimuli with fewer dots. Two groups, which formed dynamic visual images and motor images with no actual movement, respectively, showed similar limited effects. In Experiment 3, the five groups were presented two types of chromatic stimuli (colored panels and colored dots). Static visual images were effective for encoding the colored panels; however, static visual images and motor images with actual movement were effective for encoding the colored dots. These results suggest that motor and dynamic encodings facilitate memory for objects where spatial configuration is important for identification, while static visual images of the whole picture facilitate memory for objects where multiple colors are significant.

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Motor execution and motor imagery: A comparison of functional connectivity patterns based on graph theory

Cited by 63 publications

References 52 publications

Alpha band functional connectivity correlates with the performance of brainâ€“machine interfaces to decode real and imagined movements

Alpha band functional connectivity correlates with the performance of brainâ€“machine interfaces to decode real and imagined movements

Diminished Kinesthetic and Visual Motor Imagery Ability in Adults With Chronic Low Back Pain

Effective encoding for the recognition of spatial configuration and color

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