Inspiratory Neural Network Complexity Quantified by Approximate Entropy (ApEn) Analysis in SN 6-OHDA-induced Rat Model of Parkinson’s Disease
Authors: Solomon Irene C , Wadolowski Robert M 
Published: May 2024

Parkinson’s disease (PD) is a multifaceted chronic and progressive neurodegenerative disease that includes a broad range of motor and non-motor symptoms (NMS). Breathing abnormalities are a common NMS in PD, and despite respiratory dysfunction being a major problem in PD as well as respiratory complications being the most common cause of death in PD patients, this NMS receives little attention. Over the last decade, a number of preclinical experimental rat models of PD generated by nigrostriatal site-targeted administration of the neurotoxin 6-hydroxydopamine (6-OHDA) have been used to evaluate various aspects of ventilatory control in PD. While all of these models have been shown to exhibit basal and chemical control of breathing abnormalities that are consistent with those in clinical reports, no studies have assessed the complex intrinsic dynamics that are associated with the central inspiratory neural network in PD. Since preclinical rat models of PD have also been shown exhibit neuroanatomical changes in brainstem regions involved in ventilatory control, it is likely that changes in inspiratory neural network dynamics, which can be assessed using nonlinear dynamical analysis methods, are also present in PD. To begin to assess this possibility, we quantified the complexity of 20 consecutive inspiratory (diaphragm EMG) bursts recorded during basal breathing in urethane-anesthetized spontaneously breathing adult female rats at 4-weeks after unilateral injection of 6-OHDA (n=18) or vehicle (VEH; n=14) directly into the substantia nigra (SN). For these analyses, we calculated approximate entropy (ApEn), which provides a statistical measure of regularity (orderliness) of a signal in the time domain, with values for the embedding dimension m and the tolerance r set to m=3 and r=0.44 SD. ApEn values were significantly higher in 6-OHDA-injected rats compared to VEH-injected rats (0.6169±0.0069 vs 0.5894±0.0087; P=0.017) albeit TI and Tpeak/TI were similar in both groups (TI: 305.8±9.5 vs 300.0±12.7 ms, P=0.713; Tpeak/TI: 51.0±1.3 vs 51.3±1.1%, P=0.904). Other significant differences in temporal features included higher breathing frequencies (93.4±2.4 vs 82.0±3.2 bpm; P=0.007), reduced TE (in ms: 334.7±12.7 vs 445.5±27.4; P=0.001), and decreased inspiratory duty cycle (in %: 47.2±1.1 vs 40.8±2.0; P=0.006) in 6-OHDA (compared to VEH)-injected rats. These observations suggest that respiratory dysfunction in PD is also accompanied by reorganization of the central inspiratory neural network that is associated with greater irregularity or less system order. Additional experiments are needed to identify the precise neural mechanisms underlying this higher system complexity.

NIH NS101737; Thomas Hartman Center for Parkinson's Disease Research at Stony Brook University.

This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.