Synchronous monitoring of brain‐heart electrophysiology using heart rate variability coupled with rapid quantitative electroencephalography in orthostatic hypotension patients with α‐synucleinopathies: Rapid prediction of orthostatic hypotension and preliminary exploration of brain stimulation therapy

Abstract

AbstractBackgroundIn α‐synucleinopathies, the dysfunction of the autonomic nervous system which typically manifests as orthostatic hypotension (OH) often leads to severe consequences and poses therapeutic challenges. This study aims to discover the brain‐cardiac electrophysiological changes in OH patients with α‐synucleinopathies using the rapid quantitative electroencephalography (qEEG) coupled with heart rate variability (HRV) technique to identify rapid, noninvasive biomarkers for early warning and diagnosis, as well as shed new light on complementary treatment approaches such as brain stimulation targets.MethodsIn this study, 26 subjects of α‐synucleinopathies with OH (α‐OH group), 21 subjects of α‐synucleinopathies without OH (α‐NOH group), and 34 healthy controls (control group) were included from September 2021 to August 2023 (NCT05527067). The heart rate‐blood pressure variations in supine and standing positions were monitored, and synchronization parameters of seated resting‐state HRV coupled with qEEG were collected. Time‐domain and frequency‐domain of HRV measures as well as peak frequency and power of the brainwaves were extracted. Differences between these three groups were compared, and correlations between brain‐heart parameters were analyzed.ResultsThe research results showed that the time‐domain parameters such as MxDMn, pNN50, RMSSD, and SDSD of seated resting‐state HRV exhibited a significant decrease only in the α‐OH group compared to the healthy control group (p < 0.05), while there was no significant difference between the α‐NOH group and the healthy control group. Several time‐domain and frequency‐domain parameters of seated resting‐state HRV were found to be correlated with the blood pressure changes within the first 5 min of transitioning from supine to standing position (p < 0.05). Differences were observed in the power of beta1 waves (F4 and Fp2) and beta2 waves (Fp2 and F4) in the seated resting‐state qEEG between the α‐OH and α‐NOH groups (p < 0.05). The peak frequency of theta waves in the Cz region also showed a difference (p < 0.05). The power of beta2 waves in the Fp2 and F4 brain regions correlated with frequency‐domain parameters of HRV (p < 0.05). Additionally, abnormal electrical activity in the alpha, theta, and beta1 waves was associated with changes in heart rate and blood pressure within the first 5 min of transitioning from supine to standing position (p < 0.05).ConclusionRapid resting‐state HRV with certain time‐domain parameters below normal levels may serve as a predictive indicator for the occurrence of orthostatic hypotension (OH) in patients with α‐synucleinopathies. Additionally, the deterioration of HRV parameters correlates with synchronous abnormal qEEG patterns, which can provide insights into the brain stimulation target areas for OH in α‐synucleinopathy patients.