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Alpha band functional connectivity correlates with the performance of brain-machine interfaces to decode real and imagined movements.

Sugata H, Hirata M, Yanagisawa T, Shayne M, Matsushita K, Goto T, Yorifuji S, Yoshimine T - Front Hum Neurosci (2014)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Neurosurgery, Osaka University Medical School Suita, Japan.

ABSTRACT
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.

No MeSH data available.


Spatial distributions of significant correlations between decoding accuracy and connectivity during real and imagined movements. Correlation coefficients between decoding accuracy and imaginary coherence with the left M1 during real and imagined movements were calculated over the whole brain. Brain regions with significant correlations are represented in orange (p < 0.05, FDR-corrected).
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Figure 4: Spatial distributions of significant correlations between decoding accuracy and connectivity during real and imagined movements. Correlation coefficients between decoding accuracy and imaginary coherence with the left M1 during real and imagined movements were calculated over the whole brain. Brain regions with significant correlations are represented in orange (p < 0.05, FDR-corrected).

Mentions: After calculating the ICs in individuals, we examined the correlation coefficient between strength of IC and decoding accuracy among all participants during real and imagined movements. Figure 4 depicts the distribution of significant correlations between IC and decoding accuracy over the whole brain during real movements (p < 0.05, FDR-corrected). Significant correlations were localized mainly to the left PMC, postcentral gyrus, and right sensorimotor area (Figure 4 upper panel and Table 3). On the other hand, significant correlations between IC and decoding accuracy for imagined movements were more widely distributed than those of the real movements (Figure 4 lower panel). In particular, large clusters were observed in the left IPL and SPL and the right inferior frontal gyrus (IFG). Other significant correlations were observed in the left prefrontal cortex (including dorsolateral prefrontal cortex; DLPFC) and right sensorimotor area (Figure 4 lower panel and Table 4).


Alpha band functional connectivity correlates with the performance of brain-machine interfaces to decode real and imagined movements.

Sugata H, Hirata M, Yanagisawa T, Shayne M, Matsushita K, Goto T, Yorifuji S, Yoshimine T - Front Hum Neurosci (2014)

Spatial distributions of significant correlations between decoding accuracy and connectivity during real and imagined movements. Correlation coefficients between decoding accuracy and imaginary coherence with the left M1 during real and imagined movements were calculated over the whole brain. Brain regions with significant correlations are represented in orange (p < 0.05, FDR-corrected).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4126375&req=5

Figure 4: Spatial distributions of significant correlations between decoding accuracy and connectivity during real and imagined movements. Correlation coefficients between decoding accuracy and imaginary coherence with the left M1 during real and imagined movements were calculated over the whole brain. Brain regions with significant correlations are represented in orange (p < 0.05, FDR-corrected).
Mentions: After calculating the ICs in individuals, we examined the correlation coefficient between strength of IC and decoding accuracy among all participants during real and imagined movements. Figure 4 depicts the distribution of significant correlations between IC and decoding accuracy over the whole brain during real movements (p < 0.05, FDR-corrected). Significant correlations were localized mainly to the left PMC, postcentral gyrus, and right sensorimotor area (Figure 4 upper panel and Table 3). On the other hand, significant correlations between IC and decoding accuracy for imagined movements were more widely distributed than those of the real movements (Figure 4 lower panel). In particular, large clusters were observed in the left IPL and SPL and the right inferior frontal gyrus (IFG). Other significant correlations were observed in the left prefrontal cortex (including dorsolateral prefrontal cortex; DLPFC) and right sensorimotor area (Figure 4 lower panel and Table 4).

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Neurosurgery, Osaka University Medical School Suita, Japan.

ABSTRACT
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.

No MeSH data available.