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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.


Related in: MedlinePlus

Cortical connectivity maps during real and imagined movements. Group (N = 10 participants) results of anatomically constrained imaginary coherence (IC) visualized on the inflated cortical surface during real and imagined movements. The brain regions with significant IC with the left M1 are represented in blue (p < 0.01, FWER-corrected).
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Figure 2: Cortical connectivity maps during real and imagined movements. Group (N = 10 participants) results of anatomically constrained imaginary coherence (IC) visualized on the inflated cortical surface during real and imagined movements. The brain regions with significant IC with the left M1 are represented in blue (p < 0.01, FWER-corrected).

Mentions: During real movements, statistically significant ICs were observed in the bilateral superior and middle frontal gyri, including the SMA and PMC, in the left parietal lobe and the temporal lobe, and in the right sensorimotor area (Figure 2 left and Table 1). During imagined movements, statistically significant ICs were localized only in the left hemisphere, including the left inferior and superior parietal lobules (IPL, SPL), the superior and middle frontal gyri, and the postcentral gyrus (Figure 2 right and Table 2).


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)

Cortical connectivity maps during real and imagined movements. Group (N = 10 participants) results of anatomically constrained imaginary coherence (IC) visualized on the inflated cortical surface during real and imagined movements. The brain regions with significant IC with the left M1 are represented in blue (p < 0.01, FWER-corrected).
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 2: Cortical connectivity maps during real and imagined movements. Group (N = 10 participants) results of anatomically constrained imaginary coherence (IC) visualized on the inflated cortical surface during real and imagined movements. The brain regions with significant IC with the left M1 are represented in blue (p < 0.01, FWER-corrected).
Mentions: During real movements, statistically significant ICs were observed in the bilateral superior and middle frontal gyri, including the SMA and PMC, in the left parietal lobe and the temporal lobe, and in the right sensorimotor area (Figure 2 left and Table 1). During imagined movements, statistically significant ICs were localized only in the left hemisphere, including the left inferior and superior parietal lobules (IPL, SPL), the superior and middle frontal gyri, and the postcentral gyrus (Figure 2 right and Table 2).

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.


Related in: MedlinePlus