2020
DOI: 10.3390/brainsci10090644
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Functional Connectivity Analysis on Resting-State Electroencephalography Signals Following Chiropractic Spinal Manipulation in Stroke Patients

Abstract: Stroke impairments often present as cognitive and motor deficits, leading to a decline in quality of life. Recovery strategy and mechanisms, such as neuroplasticity, are important factors, as these can help improve the effectiveness of rehabilitation. The present study investigated chiropractic spinal manipulation (SM) and its effects on resting-state functional connectivity in 24 subacute to chronic stroke patients monitored by electroencephalography (EEG). Functional connectivity of both linear and non-linea… Show more

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Cited by 9 publications
(15 citation statements)
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“…Therefore, data distribution will initially be tested using Normal Probability Plot. Otherwise, if the data does not satisfy the normality test, a non-parametric permutation test will be employed with 5,000 iterations, and α 0.05 [see (Maris and Oostenveld, 2007;Waterstone et al, 2020;Fu et al, 2020;Cohen, 2014)]. Moreover, in order to see the correlation between PRS and SOE scores, we will run a Pearson correlation test.…”
Section: Primary Criteria Evaluationmentioning
confidence: 99%
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“…Therefore, data distribution will initially be tested using Normal Probability Plot. Otherwise, if the data does not satisfy the normality test, a non-parametric permutation test will be employed with 5,000 iterations, and α 0.05 [see (Maris and Oostenveld, 2007;Waterstone et al, 2020;Fu et al, 2020;Cohen, 2014)]. Moreover, in order to see the correlation between PRS and SOE scores, we will run a Pearson correlation test.…”
Section: Primary Criteria Evaluationmentioning
confidence: 99%
“…To compare the effect of treatment over channels, for each hypothesis a non-parametric permutation test will be performed to generate an approximate null probability distribution of the test statistics (Cohen, 2014;Waterstone et al, 2020). Following the work of (Waterstone et al, 2020) we will compare the PSD values for each of the frequency bands among two conditions under hypotheses using t-test as our test statistic. The observed t-values then be evaluated in terms of significance and meaningfulness using our non-permutation analysis.…”
Section: Secondary Criteria Evaluationmentioning
confidence: 99%
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“…Independent component analysis was performed on the continuous data, and artifacts were then removed using the machine learning Multiple Artifact Rejection Algorithm (Winkler et al, 2011). The primary outcome measure was resting state FC and was computed using magnitude-squared coherence (Coh Rest ) (Steven Waterstone et al, 2020). The magnitude-squared coherence was computed using the formula:…”
Section: Eegmentioning
confidence: 99%
“…Chiropractic care has the potential to facilitate motor recovery in stroke survivors due to its influence on the central nervous system [ 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. Chiropractic care constitutes a holistic approach to health, with a focus on the identification and correction of central segmental motor control (CSMC) problems that chiropractors often call vertebral subluxations [ 8 , 15 , 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%