1
|
Wecht JM, Weir JP, Peters CG, Weber E, Wylie GR, Chiaravalloti NC. Autonomic Cardiovascular Control, Psychological Well-Being, and Cognitive Performance in People With Spinal Cord Injury. J Neurotrauma 2023; 40:2610-2620. [PMID: 37212256 DOI: 10.1089/neu.2022.0445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023] Open
Abstract
PURPOSE To examine associations between parameters of psychological well-being, injury characteristics, cardiovascular autonomic nervous system (ANS) control, and cognitive performance in persons with spinal cord injury (SCI) compared with age-matched uninjured controls. This is an observational, cross-sectional study including a total of 94 participants (52 with SCI and 42 uninjured controls: UIC). Cardiovascular ANS responses were continuously monitored at rest and during administration of the Paced Auditory Serial Addition Test (PASAT). Self-report scores on the SCI-Quality of Life questionnaires are reported for depression, anxiety, fatigue, resilience, and positive affect. Participants with SCI performed significantly more poorly on the PASAT compared with the uninjured controls. Although not statistically significant, participants with SCI tended to report more psychological distress and less well-being than the uninjured controls. In addition, when compared with uninjured controls, the cardiovascular ANS responses to testing were significantly altered in participants with SCI; however, these responses to testing did not predict PASAT performance. Self-reported levels of anxiety were significantly related to PASAT score in the SCI group, but there was no significant relationship between PASAT and the other indices of SCI-Quality of Life. Future investigations should more closely examine the relationship among cardiovascular ANS impairments, psychological disorders, and cognitive dysfunction to better elucidate the underpinnings of these deficits and to guide interventions aimed at improving physiological, psychological, and cognitive health after SCI. Tetraplegia, paraplegia, blood pressure variability, cognitive, mood.
Collapse
Affiliation(s)
- Jill M Wecht
- James J Peters VA Medical Center, Bronx, New York, USA
- Bronx Veterans Medical Research Foundation, Bronx, New York, USA
- Department of Medicine, the Icahn School of Medicine, Mount Sinai, New York, New York, USA
- Department of Rehabilitation and Human Performance, the Icahn School of Medicine, Mount Sinai, New York, New York, USA
| | - Joseph P Weir
- Department of Health, Sport, and Exercise Science, University of Kansas, Lawrence, Kansas, USA
| | - Caitlyn G Peters
- James J Peters VA Medical Center, Bronx, New York, USA
- Kessler Foundation, West Orange, New Jersey, USA
| | - Erica Weber
- Kessler Foundation, West Orange, New Jersey, USA
- Rutgers-NJ Medical School, Department of Physical Medicine and Rehabilitation, Newark, New Jersey, USA
| | - Glenn R Wylie
- Kessler Foundation, West Orange, New Jersey, USA
- Rutgers-NJ Medical School, Department of Physical Medicine and Rehabilitation, Newark, New Jersey, USA
| | - Nancy C Chiaravalloti
- Kessler Foundation, West Orange, New Jersey, USA
- Rutgers-NJ Medical School, Department of Physical Medicine and Rehabilitation, Newark, New Jersey, USA
| |
Collapse
|
2
|
Ghiasi S, Greco A, Barbieri R, Scilingo EP, Valenza G. Assessing Autonomic Function from Electrodermal Activity and Heart Rate Variability During Cold-Pressor Test and Emotional Challenge. Sci Rep 2020; 10:5406. [PMID: 32214158 PMCID: PMC7096472 DOI: 10.1038/s41598-020-62225-2] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 02/28/2020] [Indexed: 12/11/2022] Open
Abstract
Standard functional assessment of autonomic nervous system (ANS) activity on cardiovascular control relies on spectral analysis of heart rate variability (HRV) series. However, difficulties in obtaining a reliable measure of sympathetic activity from HRV spectra limits the exploitation of sympatho-vagal metrics. On the other hand, measures of electrodermal activity (EDA) have been demonstrated to provide a reliable quantifier of sympathetic dynamics. In this study we propose novel indices of phasic autonomic regulation mechanisms by combining HRV and EDA correlates and thoroughly investigating their time-varying dynamics. HRV and EDA series were gathered from 26 healthy subjects during a cold-pressor test and emotional stimuli. Instantaneous linear and nonlinear (bispectral) estimates of vagal dynamics were obtained from HRV through inhomogeneous point-process models, and combined with a sensitive maker of sympathetic tone from EDA spectral power. A wavelet decomposition analysis was applied to estimate phasic components of the proposed sympatho-vagal indices. Results show significant statistical differences for the proposed indices between the cold-pressor elicitation and previous resting state. Furthermore, an accuracy of 73.08% was achieved for the automatic emotional valence recognition. The proposed nonlinear processing of phasic ANS markers brings novel insights on autonomic functioning that can be exploited in the field of affective computing and psychophysiology.
Collapse
Affiliation(s)
- Shadi Ghiasi
- Department of Information Engineering & Bioengineering and Robotics Research Center E. Piaggio, School of Engineering, University of Pisa, Pisa, Italy.
| | - Alberto Greco
- Department of Information Engineering & Bioengineering and Robotics Research Center E. Piaggio, School of Engineering, University of Pisa, Pisa, Italy
| | - Riccardo Barbieri
- Department of Electronics, Informatics and Bioengineering, Politecnico di Milano, Milano, Italy
| | - Enzo Pasquale Scilingo
- Department of Information Engineering & Bioengineering and Robotics Research Center E. Piaggio, School of Engineering, University of Pisa, Pisa, Italy
| | - Gaetano Valenza
- Department of Information Engineering & Bioengineering and Robotics Research Center E. Piaggio, School of Engineering, University of Pisa, Pisa, Italy
| |
Collapse
|