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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\u2010frequency 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\u2010accepted tailored framework to consistently characterise the association between thalamic electrical recordings and the tremorogenic EMG activity. <jats:italic>Methods<\/jats:italic>. This paper proposes a novel framework to address this challenge, including an estimation of the interaction strength using wavelet cross\u2010spectrum and phase lag index while demonstrating the statistical significance of the findings. <jats:italic>Results<\/jats:italic>. 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\u2010frequency interrelationships while decreasing the dynamic range of high\u2010frequency interactions. <jats:italic>Conclusion<\/jats:italic>. Results from both simulation and real data demonstrate the feasibility and robustness of the proposed framework. <jats:italic>Significance<\/jats:italic>. This study offers the proof of principle required to implement this methodology to uncover VIM thalamic LFP\u2010EMG 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\u2010loop devices.<\/jats:p>","DOI":"10.1155\/2018\/7269494","type":"journal-article","created":{"date-parts":[[2018,7,3]],"date-time":"2018-07-03T23:54:41Z","timestamp":1530662081000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A Wavelet\u2010Based Correlation Analysis Framework to Study Cerebromuscular Activity in Essential Tremor"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2383-5724","authenticated-orcid":false,"given":"Yifan","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramon C.","family":"Laguna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4357-4592","authenticated-orcid":false,"given":"Yitian","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jimmy Jiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiongxiong","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Yianni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ptolemaios G.","family":"Sarrigiannis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,7,3]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.35.3.365"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2011.09.024"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(05)00991-9"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.4103\/0972-2327.83097"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2196"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1002\/mds.20960"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/mds.27096"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0059839"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00477.2006"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(00)02064-X"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2016.12.027"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.brainres.2013.07.011"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1984.10477110"},{"key":"e_1_2_10_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2012.09.019"},{"key":"e_1_2_10_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2009.09.033"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.11922"},{"key":"e_1_2_10_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.brs.2017.01.308"},{"key":"e_1_2_10_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.expneurol.2017.07.013"},{"key":"e_1_2_10_19_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71512-2"},{"key":"e_1_2_10_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-2236(02)02227-0"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-010-0156-x"},{"key":"e_1_2_10_22_2","doi-asserted-by":"crossref","unstructured":"MarcegliaS. 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