Literature DB >> 33488692

EEG Correlates of Central Origin of Cancer-Related Fatigue.

Didier Allexandre1,2, Dilara Seyidova-Khoshknabi3, Mellar P Davis3,4,5, Vinoth K Ranganathan6, Vlodek Siemionow6, Declan Walsh3,4,7,8,9, Guang H Yue1,2,6.   

Abstract

The neurophysiological mechanism of cancer-related fatigue (CRF) remains poorly understood. EEG was examined during a sustained submaximal contraction (SC) task to further understand our prior research findings of greater central contribution to early fatigue during SC in CRF. Advanced cancer patients and matched healthy controls performed an elbow flexor SC until task failure while undergoing neuromuscular testing and EEG recording. EEG power changes over left and right sensorimotor cortices were analyzed and correlated with brief fatigue inventory (BFI) score and evoked muscle force, a measure of central fatigue. Brain electrical activity changes during the SC differed in CRF from healthy subjects mainly in the theta (4-8 Hz) and beta (12-30 Hz) bands in the contralateral (to the fatigued limb) hemisphere; changes were correlated with the evoked force. Also, the gamma band (30-50 Hz) power decrease during the SC did not return to baseline after 2 min of rest in CRF, an effect correlated with BFI score. In conclusion, altered brain electrical activity during a fatigue task in patients is associated with central fatigue during SC or fatigue symptoms, suggesting its potential contribution to CRF during motor performance. This information should guide the development and use of rehabilitative interventions that target the central nervous system to maximize function recovery.
Copyright © 2020 Didier Allexandre et al.

Entities:  

Year:  2020        PMID: 33488692      PMCID: PMC7787808          DOI: 10.1155/2020/8812984

Source DB:  PubMed          Journal:  Neural Plast        ISSN: 1687-5443            Impact factor:   3.599


  66 in total

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4.  Electroencephalographic coherence analysis in multiple sclerosis: correlation with clinical, neuropsychological, and MRI findings.

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5.  Cortical sources of resting state electroencephalographic rhythms differ in relapsing-remitting and secondary progressive multiple sclerosis.

Authors:  Claudio Babiloni; Claudio Del Percio; Paolo Capotosto; Giuseppe Noce; Francesco Infarinato; Chiara Muratori; Christian Marcotulli; Giovanni Bellagamba; Elena Righi; Andrea Soricelli; Paolo Onorati; Tommaso Lupattelli
Journal:  Clin Neurophysiol       Date:  2015-06-08       Impact factor: 3.708

6.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. II. Event-related synchronization in the gamma band.

Authors:  N E Crone; D L Miglioretti; B Gordon; R P Lesser
Journal:  Brain       Date:  1998-12       Impact factor: 13.501

7.  Screening, assessment, and management of fatigue in adult survivors of cancer: an American Society of Clinical oncology clinical practice guideline adaptation.

Authors:  Julienne E Bower; Kate Bak; Ann Berger; William Breitbart; Carmelita P Escalante; Patricia A Ganz; Hester Hill Schnipper; Christina Lacchetti; Jennifer A Ligibel; Gary H Lyman; Mohammed S Ogaily; William F Pirl; Paul B Jacobsen
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8.  Neural synchrony within the motor system: what have we learned so far?

Authors:  Bernadette C M van Wijk; Peter J Beek; Andreas Daffertshofer
Journal:  Front Hum Neurosci       Date:  2012-09-04       Impact factor: 3.169

9.  Neurophysiological Correlates of Central Fatigue in Healthy Subjects and Multiple Sclerosis Patients before and after Treatment with Amantadine.

Authors:  Emiliano Santarnecchi; Simone Rossi; Sabina Bartalini; Massimo Cincotta; Fabio Giovannelli; Elisa Tatti; Monica Ulivelli
Journal:  Neural Plast       Date:  2015-07-05       Impact factor: 3.599

10.  Modulation of Brain Functional Connectivity and Efficiency During an Endurance Cycling Task: A Source-Level EEG and Graph Theory Approach.

Authors:  Gabriella Tamburro; Selenia di Fronso; Claudio Robazza; Maurizio Bertollo; Silvia Comani
Journal:  Front Hum Neurosci       Date:  2020-07-09       Impact factor: 3.169

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  1 in total

1.  EEG-Based Spectral Analysis Showing Brainwave Changes Related to Modulating Progressive Fatigue During a Prolonged Intermittent Motor Task.

Authors:  Easter S Suviseshamuthu; Vikram Shenoy Handiru; Didier Allexandre; Armand Hoxha; Soha Saleh; Guang H Yue
Journal:  Front Hum Neurosci       Date:  2022-03-11       Impact factor: 3.473

  1 in total

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