A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor
Objective. Deep brain stimulation (DBS) provides dramatic tremor relief in patients with severe essential tremor (ET). Typically, the VIM nucleus is the most effective brain area to target for high-frequency electrical stimulation in these patients. Correlation analysis between electrical local fiel...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/7269494 |
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| author | Yifan Zhao Ramon C. Laguna Yitian Zhao Jimmy Jiang Liu Xiongxiong He John Yianni Ptolemaios G. Sarrigiannis |
| author_facet | Yifan Zhao Ramon C. Laguna Yitian Zhao Jimmy Jiang Liu Xiongxiong He John Yianni Ptolemaios G. Sarrigiannis |
| author_sort | Yifan Zhao |
| collection | DOAJ |
| description | Objective. Deep brain stimulation (DBS) provides dramatic tremor relief in patients with severe essential tremor (ET). Typically, the VIM nucleus is the most effective brain area to target for high-frequency electrical stimulation in these patients. Correlation analysis between electrical local field potential (LFP) recordings from the thalamic DBS leads and electrical muscle activity from the contralateral tremulous limb has become an attractive practical tool to interpret the LFPs and their association with the tremulous clinical manifestations. Although functional connectivity analysis between brain electrical recordings and electromyographic (EMG) signals from the tremor has been of interest to an increasing number of engineering researchers, there is no well-accepted tailored framework to consistently characterise the association between thalamic electrical recordings and the tremorogenic EMG activity. Methods. This paper proposes a novel framework to address this challenge, including an estimation of the interaction strength using wavelet cross-spectrum and phase lag index while demonstrating the statistical significance of the findings. Results. Consistent results were estimated for single and multiple trials of consecutive or partially overlapping epochs of data. The latter approach reveals a substantial increase on the range of statistically significant dynamic low-frequency interrelationships while decreasing the dynamic range of high-frequency interactions. Conclusion. Results from both simulation and real data demonstrate the feasibility and robustness of the proposed framework. Significance. This study offers the proof of principle required to implement this methodology to uncover VIM thalamic LFP-EMG interactions for (i) better understanding of the pathophysiology of tremor; (ii) objective selection of the DBS electrode contacts with the highest strength of association with the tremorogenic EMG, a particularly useful feature for the implementation of novel multicontact directional leads in clinical practice; and (iii) future research on DBS closed-loop devices. |
| format | Article |
| id | doaj-art-352b6d2c7bd247ce9d03afc320dd7600 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-352b6d2c7bd247ce9d03afc320dd76002025-02-03T05:53:47ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/72694947269494A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential TremorYifan Zhao0Ramon C. Laguna1Yitian Zhao2Jimmy Jiang Liu3Xiongxiong He4John Yianni5Ptolemaios G. Sarrigiannis6Through-life Engineering Services Centre, Cranfield University, Bedfordshire MK43 0AL, UKComputational and Software Techniques in Engineering, Cranfield University, Bedfordshire MK43 0AL, UKCixi Institute of Biomedical Engineering, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, ChinaCixi Institute of Biomedical Engineering, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, ChinaInformation Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaDepartment of Neurosciences, Sheffield Teaching Hospitals, NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield S10 2JF, UKDepartment of Neurosciences, Sheffield Teaching Hospitals, NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield S10 2JF, UKObjective. Deep brain stimulation (DBS) provides dramatic tremor relief in patients with severe essential tremor (ET). Typically, the VIM nucleus is the most effective brain area to target for high-frequency electrical stimulation in these patients. Correlation analysis between electrical local field potential (LFP) recordings from the thalamic DBS leads and electrical muscle activity from the contralateral tremulous limb has become an attractive practical tool to interpret the LFPs and their association with the tremulous clinical manifestations. Although functional connectivity analysis between brain electrical recordings and electromyographic (EMG) signals from the tremor has been of interest to an increasing number of engineering researchers, there is no well-accepted tailored framework to consistently characterise the association between thalamic electrical recordings and the tremorogenic EMG activity. Methods. This paper proposes a novel framework to address this challenge, including an estimation of the interaction strength using wavelet cross-spectrum and phase lag index while demonstrating the statistical significance of the findings. Results. Consistent results were estimated for single and multiple trials of consecutive or partially overlapping epochs of data. The latter approach reveals a substantial increase on the range of statistically significant dynamic low-frequency interrelationships while decreasing the dynamic range of high-frequency interactions. Conclusion. Results from both simulation and real data demonstrate the feasibility and robustness of the proposed framework. Significance. This study offers the proof of principle required to implement this methodology to uncover VIM thalamic LFP-EMG interactions for (i) better understanding of the pathophysiology of tremor; (ii) objective selection of the DBS electrode contacts with the highest strength of association with the tremorogenic EMG, a particularly useful feature for the implementation of novel multicontact directional leads in clinical practice; and (iii) future research on DBS closed-loop devices.http://dx.doi.org/10.1155/2018/7269494 |
| spellingShingle | Yifan Zhao Ramon C. Laguna Yitian Zhao Jimmy Jiang Liu Xiongxiong He John Yianni Ptolemaios G. Sarrigiannis A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor Complexity |
| title | A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor |
| title_full | A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor |
| title_fullStr | A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor |
| title_full_unstemmed | A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor |
| title_short | A Wavelet-Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor |
| title_sort | wavelet based correlation analysis framework to study cerebromuscular activity in essential tremor |
| url | http://dx.doi.org/10.1155/2018/7269494 |
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