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Grant Details

Grant Number: 5R01CA189665-06 Interpret this number
Primary Investigator: Yue, Guang
Organization: Kessler Foundation, Inc.
Project Title: Neurophysiological Evaluation of Training Effect on Cancer-Related Weakness
Fiscal Year: 2019


DESCRIPTION (provided by applicant): Weakness limits mobility and diminishes quality of life in many cancer survivors, especially in those who suffer from late stage of cancer. Early research suggests that high-intensity strength training (HIST) is essential to gain muscle strength. Although participating in HIST posts little difficulties for younger and healthy individuals, such training is intimidating and unsafe for many weak cancer survivors with limited physical abilities. Evidence in recent years, however, has shown that training with high effort (intended muscle contraction) combined with no or little physical exercise can significantly strengthen muscle by increasing brain-to-muscle command, which helps improve motor unit recruitment and activation level. Although the effect of high-effort training on muscle strengthening has been recognized in healthy young and older adults, nothing is known regarding its application to improving strength in weak patients, individuals who may benefit most from participating in this type of training, given difficulties they may face when engaging in conventional HIST. Further, detailed neurophysiological mechanisms behind the phenomenon of high mental effort training- induced strength gain are yet to be determined. Preliminary data from the PI's laboratory show that cancer patients with weakness undergone high-effort motor imagery training can significantly improve their strength. EEG-based movement-related cortical potential measurement demonstrates enhanced descending command to target muscle following such training. These observations led to our fundamental hypothesis that training-induced strength gain resulting from neural adaptations is not dependent on intensity of muscle exercise; rather, it relies primarily on the level of voluntary effort during training regardless o physical exercise intensity. The major goal of this study is to test this hypothesis by training weak cancer survivors with high effort plus moderate intensity (HEMI) and low effort combined with moderate intensity (LEMI) muscle exercises and evaluate strength improvement and underlying neural plasticity after training. The Aims of the study are to determine the effects of HEMI and LEMI training on handgrip strength and level of fMRI-based brain connectivity that modulates the descending command and functional brain-muscle coupling (fBMC) for maximal muscle force. It is hypothesized that the HEMI training will significantly gain strength and elevat the level of cortical network connectivity and fBMC but the LEMI will not. The findings will show that HEMI training is an effective approach to provoke neural plasticity that promotes muscle strength in breast cancer survivors with weakness. Although the results will be acquired from breast cancer patients, the method (HEMI training) is not limited to this patient population for voluntary muscle strengthening.


EEG Correlates of Central Origin of Cancer-Related Fatigue.
Authors: Allexandre D. , Seyidova-Khoshknabi D. , Davis M.P. , Ranganathan V.K. , Siemionow V. , Walsh D. , Yue G.H. .
Source: Neural plasticity, 2020; 2020, p. 8812984.
EPub date: 2020-12-11.
PMID: 33488692
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Functional Corticomuscular Signal Coupling Is Weakened during Voluntary Motor Action in Cancer-Related Fatigue.
Authors: Jiang C. , Yang Q. , Chen T. , Siemionow V. , Ranganathan V.K. , Yan A.F. , Yue G.H. .
Source: Neural plasticity, 2019; 2019, p. 2490750.
EPub date: 2019-06-26.
PMID: 31346330
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Unsupervised Stochastic Strategies for Robust Detection of Muscle Activation Onsets in Surface Electromyogram.
Authors: Selvan S.E. , Allexandre D. , Amato U. , Yue G.H. .
Source: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2018 06; 26(6), p. 1279-1291.
PMID: 29877853
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The level of effort, rather than muscle exercise intensity determines strength gain following a six-week training.
Authors: Jiang C.H. , Ranganathan V.K. , Siemionow V. , Yue G.H. .
Source: Life sciences, 2017-06-01; 178, p. 30-34.
EPub date: 2017-04-13.
PMID: 28412240
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Reproducibility of transcranial magnetic stimulation metrics in the study of proximal upper limb muscles.
Authors: Sankarasubramanian V. , Roelle S.M. , Bonnett C.E. , Janini D. , Varnerin N.M. , Cunningham D.A. , Sharma J.S. , Potter-Baker K.A. , Wang X. , Yue G.H. , et al. .
Source: Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology, 2015 Oct; 25(5), p. 754-64.
EPub date: 2015-06-14.
PMID: 26111434
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Evidence of significant central fatigue in patients with cancer-related fatigue during repetitive elbow flexions till perceived exhaustion.
Authors: Cai B. , Allexandre D. , Rajagopalan V. , Jiang Z. , Siemionow V. , Ranganathan V.K. , Davis M.P. , Walsh D. , Dai K. , Yue G.H. .
Source: PloS one, 2014; 9(12), p. e115370.
EPub date: 2014-12-22.
PMID: 25532032
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Functional somatotopy revealed across multiple cortical regions using a model of complex motor task.
Authors: Cunningham D.A. , Machado A. , Yue G.H. , Carey J.R. , Plow E.B. .
Source: Brain research, 2013-09-19; 1531, p. 25-36.
EPub date: 2013-08-03.
PMID: 23920009
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Kinesthetic imagery training of forceful muscle contractions increases brain signal and muscle strength.
Authors: Yao W.X. , Ranganathan V.K. , Allexandre D. , Siemionow V. , Yue G.H. .
Source: Frontiers in human neuroscience, 2013; 7, p. 561.
EPub date: 2013-09-26.
PMID: 24133427
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Strengthened functional connectivity in the brain during muscle fatigue.
Authors: Jiang Z. , Wang X.F. , Kisiel-Sajewicz K. , Yan J.H. , Yue G.H. .
Source: NeuroImage, 2012 Mar; 60(1), p. 728-37.
EPub date: 2011-12-17.
PMID: 22197785
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A generalized regression model for region of interest analysis of fMRI data.
Authors: Wang X.F. , Jiang Z. , Daly J.J. , Yue G.H. .
Source: NeuroImage, 2012-01-02; 59(1), p. 502-10.
EPub date: 2011-07-31.
PMID: 21839177
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Nonlinear features of surface EEG showing systematic brain signal adaptations with muscle force and fatigue.
Authors: Yao B. , Liu J.Z. , Brown R.W. , Sahgal V. , Yue G.H. .
Source: Brain research, 2009-05-26; 1272, p. 89-98.
EPub date: 2009-03-28.
PMID: 19332036
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Functional corticomuscular connection during reaching is weakened following stroke.
Authors: Fang Y. , Daly J.J. , Sun J. , Hvorat K. , Fredrickson E. , Pundik S. , Sahgal V. , Yue G.H. .
Source: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2009 May; 120(5), p. 994-1002.
EPub date: 2009-04-10.
PMID: 19362515
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Assessing time-dependent association between scalp EEG and muscle activation: A functional random-effects model approach.
Authors: Wang X.F. , Yang Q. , Fan Z. , Sun C.K. , Yue G.H. .
Source: Journal of neuroscience methods, 2009-02-15; 177(1), p. 232-40.
EPub date: 2008-10-10.
PMID: 18977246
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Weakening of functional corticomuscular coupling during muscle fatigue.
Authors: Yang Q. , Fang Y. , Sun C.K. , Siemionow V. , Ranganathan V.K. , Khoshknabi D. , Davis M.P. , Walsh D. , Sahgal V. , Yue G.H. .
Source: Brain research, 2009-01-23; 1250, p. 101-12.
EPub date: 2008-11-11.
PMID: 19028460
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Fractal dimension assessment of brain white matter structural complexity post stroke in relation to upper-extremity motor function.
Authors: Zhang L. , Butler A.J. , Sun C.K. , Sahgal V. , Wittenberg G.F. , Yue G.H. .
Source: Brain research, 2008-09-04; 1228, p. 229-40.
EPub date: 2008-06-11.
PMID: 18590710
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Shifting of activation center in the brain during muscle fatigue: an explanation of minimal central fatigue?
Authors: Liu J.Z. , Lewandowski B. , Karakasis C. , Yao B. , Siemionow V. , Sahgal V. , Yue G.H. .
Source: NeuroImage, 2007 Mar; 35(1), p. 299-307.
EPub date: 2007-01-22.
PMID: 17236789
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