Correlations between indices of P300 EEG potential, cognitive tests, and variational pulsometry in Parkinsonian patients

Abstract

The parameters of an event-related EEG potential (ERP), Р300 wave, are now extensively used as objective neurophysiological indices of the state of cognitive functions. At the same time, information on the effects of the autonomic nervous system on the parameters of Р300 is limited. In Parkinson's disease clinics, in addition to the leading motor disorders, more or less clear psychoemotional, cognitive, and autonomic (in particular cardiovascular) impairments are usually observed. This allows one to study the dependence between the cardiovascular dysfunction and intensity of cognitive disorders in Parkinsonian patients. In our study on this contingent, we analyzed correlations between the parameters of P300 potential, indices of the state of the cognitive sphere (determined using a questionnaire, Mini Mental State Examination, MMSE, and a Luriya's test), and indices of variational pulsometry. Thirty-five Parkinsonian patients (49 to 74 years, severity of disease 1.5 to 3.0 by the international classification) were examined. We found a negative influence of excessive sympathetic tonus in cardiovascular control on the state of cognitive functions. The latency of Р300 potential was longer in patients with greater intensities of sympathetic influences on the cardiovascular system. The coefficients of correlation of the latency of Р300 with the amplitude of mode of R-R intervals (AMo), index of tension in the regulatory systems by Baevskii (IT), and index of autonomic balance by Baevskii (IAB) were 0.52 (P < 0.01), 0.36 (P < 0.05), and 0.37 (P < 0.05), respectively. The above autonomic indices demonstrated significant negative correlations with the volume of short-term memory measured by Luriya's test. The Р300 latency, in turn, showed negative correlations with the memory volume estimated by the MMSE scale and Luriya's test. With increase in the age of patients, the degree of the above-mentioned correlations between the Р300 latency, memory volume (by Luriya's test), and parameters of variational pulsometry increased. Our data emphasize the expedience of "routine" studies of the balance of sympathetic and parasympathetic control in pathological states accompanied by clear or subclinical cognitive disorders. Early recognition of cardiovascular dysfunction and its corresponding therapeutic correction should improve the state of brain functions and quality of life in patients suffering from neurodegenerative diseases, in particular from Parkinson's disease.

Correlation between the parameters of contingent negative variation and characteristics of variational pulsometry in Parkinsonian patients

“…These indices positively correlated with the age of patients, severity of disorders of the postural stability, and also (according to our preliminary studies) with worsening of the cognitive functions [35]. It is obvious that the combination of natural age-related processes (natural aging of the brain) and neurodegenerative modifications typical of PD forms an important risk factor for the development of a few disorders, namely the sympathetic "tension" (that negatively influences the cardiovascular control), postural instability, and cognitive dysfunction [36].…”

Event-related potentials and cognition in Parkinson’s disease: An integrative review

“…The degree of global cognitive impairment has been linked to P3b latency by studies showing correlations between P3b latency and neuropsychological measures of general intelligence (Bodis-Wollner et al, 1995;Hansch et al, 1982;Katsarou et al, 2004), processing speed (O'Donnell et al, 1987), and, most frequently, the global score on the MMSE (Lukhanina et al, 2009;Maeshima et al, 2002;Matsui et al, 2007;Sartucci et al, 1990;Stamenović et al, 2005;Tachibana et al, 1997; but see Elwan et al, 1996;Lukhanina et al, 2008).…”

Classification of Motor Imagery EEG Based on Sparsification and Non-negative Matrix Factorization

“…In the practical application of brain-computer interface, there are three kinds of experimental models: motion imagination, steady-state visual evoked(SSV-EP) [3] and P300 [4], which SSVEP and P300 are based on the induced pattern of EEG. The essence of the movement imagination of EEG is a spontaneous EEG, in this dynamic state can not feel the muscle movement.…”