Longitudinal resting-state electroencephalography in chronic pain patients undergoing interdisciplinary multimodal pain therapy

Pain ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Henrik Heitmann ◽  
Cristina Gil Ávila ◽  
Moritz M. Nickel ◽  
Son Ta Dinh ◽  
Elisabeth S. May ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Resting State ◽  
Pain Therapy ◽  
Multimodal Pain Therapy ◽  
Chronic Pain Patients ◽  
Interdisciplinary Multimodal Pain Therapy ◽  
Pain Patients

scholarly journals Dynamics of brain function in chronic pain patients assessed by microstate analysis of resting-state electroencephalography

Pain ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Elisabeth S. May ◽  
Cristina Gil Ávila ◽  
Son Ta Dinh ◽  
Henrik Heitmann ◽  
Vanessa D. Hohn ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Resting State ◽  
Brain Function ◽  
Chronic Pain Patients ◽  
Microstate Analysis ◽  
Pain Patients

scholarly journals Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

Pain ◽  
2019 ◽  
Vol 160 (12) ◽  
pp. 2751-2765 ◽  
Author(s):  
Son Ta Dinh ◽  
Moritz M. Nickel ◽  
Laura Tiemann ◽  
Elisabeth S. May ◽  
Henrik Heitmann ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Resting State ◽  
Brain Dysfunction ◽  
Chronic Pain Patients ◽  
Pain Patients

scholarly journals Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

2019 ◽  
Author(s):  
Son Ta Dinh ◽  
Moritz M. Nickel ◽  
Laura Tiemann ◽  
Elisabeth S. May ◽  
Henrik Heitmann ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Resting State ◽  
Brain Activity ◽  
Control Group ◽  
Brain Areas ◽  
Frontal Brain ◽  
Disease Markers ◽  
Chronic Pain Patients ◽  
Gamma Frequencies ◽  
Pain Patients

AbstractChronic pain is a common and severely disabling disease whose treatment is often unsatisfactory. Insights into the brain mechanisms of chronic pain promise to advance the understanding of the underlying pathophysiology and might help to develop disease markers and novel treatments. Here, we systematically and comprehensively exploited the potential of electroencephalography (EEG) to determine abnormalities of brain function during the resting state in chronic pain. To this end, we performed state-of-the-art analyses of oscillatory brain activity, brain connectivity and brain networks in 101 patients of either sex suffering from chronic pain. The results show that global and local measures of brain activity did not differ between chronic pain patients and a healthy control group. However, we observed significantly increased connectivity at theta (4 – 8 Hz) and gamma (> 60 Hz) frequencies in frontal brain areas as well as global network reorganization at gamma frequencies in chronic pain patients. Furthermore, a machine learning algorithm could differentiate between patients and healthy controls with an above-chance accuracy of 57%, mostly based on frontal connectivity. These results implicate increased theta and gamma synchrony in frontal brain areas in the pathophysiology of chronic pain. While substantial challenges concerning accuracy, specificity and validity of potential EEG-based disease markers remain to be overcome, our study identifies abnormal frontal synchrony at theta and gamma frequencies as promising targets for non-invasive brain stimulation and/or neurofeedback approaches.

Pain Influences Several Levels of Attention

2005 ◽  
Vol 16 (4) ◽  
pp. 235-242 ◽  
Author(s):  
Astrid von Bueren Jarchow ◽  
Bogdan P. Radanov ◽  
Lutz Jäncke
Keyword(s):  
Chronic Pain ◽  
Divided Attention ◽  
Covert Attention ◽  
Attention Task ◽  
Attentional Deficits ◽  
Control Subjects ◽  
Chronic Pain Patients ◽  
Divided Attention Task ◽  
Pain Stimuli ◽  
Pain Patients

Abstract: The aim of the present study was to examine to what extent chronic pain has an impact on various attentional processes. To measure these attention processes a set of experimental standard tests of the “Testbatterie zur Aufmerksamkeitsprüfung” (TAP), a neuropsychological battery testing different levels of attention, were used: alertness, divided attention, covert attention, vigilance, visual search, and Go-NoGo tasks. 24 chronic outpatients and 24 well-matched healthy control subjects were tested. The control subjects were matched for age, gender, and education. The group of chronic pain patients exhibited marked deficiencies in all attentional functions except for the divided attention task. Thus, the data supports the notion that chronic pain negatively influences attention because pain patients` attention is strongly captivated by the internal pain stimuli. Only the more demanding divided attention task has the capability to distract the focus of attention to the pain stimuli. Therefore, the pain patients are capable of performing within normal limits. Based on these findings chronic pain patients' attentional deficits should be appropriately evaluated and considered for insurance and work related matters. The effect of a successful distraction away from the pain in the divided attention task can also open new therapeutic aspects.

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