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Issue: Issue 1 (2014)


Original Article

Neurovascular coupling and EEG band distribution in patients with chronic obstructive pulmonary disease

Author(s):
Bernhard Rosengarten, Melanie Schmid, Anna Steinmann, Tobias Gessler, and Stefan Kuhnert
Abstract:
Background: Chronic obstructive pulmonary disease (COPD) patients often complain of neurological symptoms which were usually referred to oxygen deficit or neurovascular dysfunction. To address this issue we studied neurofunctional and neurovascular parameters in COPD patients without chronic oxygen treatment.

Methods: Severity of the COPD disease was classified according to the BODE score. Besides body plethysmography and capillary blood gas analysis, vascular risk factors, medication, CRP, and nitric oxide levels were obtained. Using a visual stimulation paradigm evoked potential amplitudes over the occipital cortex as well as hemodynamic responses in the posterior cerebral artery were obtained with a simultaneous EEG-Doppler technique. EEG frequency bands as well as flow velocity were also obtained during resting conditions.

Results: As expected a significant decline in the pO2 level (Bode 0: 77±11 vs. Bode 7-10: 61±5 mmHg; p<0.005), and increase in the pCO2 level (Bode 0: 35±3 vs. Bode 7-10: 43±7 mmHg; p<0.05) was found with disease progression. However, resting flow velocity levels, neurovascular coupling responses, potential amplitudes, or EEG band distribution were similar between groups. The pH levels were similar between groups showing complete metabolic compensation of hypercapnia. Hemoglobin, CRP, and NO levels were also similar between groups.

Conclusion: According to the present study there seems to be no simple association between COPD disease severity, reported neurological complaints, and neuronal or neurovascular parameters. Further investigations are warranted to investigate this issue in patients with stronger hypoxia or induced inflammation.

Keywords: Chronic obstructive pulmonary disease, Neurovascular coupling, Transcranial Doppler, Electroencephalogram

International Journal of Clinical Neurosciences and Mental Health 2014; 1:3

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